Optical coherence tomography system that is reconfigurable between different imaging modes

Information

  • Patent Grant
  • 9709379
  • Patent Number
    9,709,379
  • Date Filed
    Monday, December 16, 2013
    11 years ago
  • Date Issued
    Tuesday, July 18, 2017
    7 years ago
Abstract
The invention generally relates to an optical coherence tomography system that is reconfigurable between two different imaging modes and methods of use thereof.
Description
FIELD OF THE INVENTION

The invention generally relates to an optical coherence tomography system that is reconfigurable between different imaging modes and methods of use thereof.


BACKGROUND

Biomedical imaging technology is rapidly advancing. For example, magnetic resonance imaging (MRI), X-ray computed tomography, ultrasound, and confocal microscopy are all in widespread research and clinical use, and have resulted in fundamental and dramatic improvements in health care. However, there are many situations in which existing biomedical imaging technologies are not adequate. This is particularly true where high resolution (e.g. approximately 5-10 μm) imaging is required. In these situations, such imaging technology does not provide a physician with the required diagnostic information, and the physician must resort to other invasive examinations, such as biopsy and histopathologic examination, in order to obtain the required diagnostic information. Such examinations are potentially harmful, time consuming, and costly. Furthermore, there are many situations in which conventional excisional biopsy is not possible. Coronary artery disease, a leading cause of morbidity and mortality, is one important example of a disease in which conventional diagnostic excisional biopsy cannot be performed.


Development of depth-resolved light reflection or Optical Coherence Tomography (OCT) provides a high resolution imaging technique that addresses those concerns. OCT is an imaging technique that captures micrometer-resolution, three-dimensional images from within optical scattering media (e.g., biological tissue). OCT uses a narrow line width tunable laser source or a superluminescent diode source to emit light over a broad bandwidth to make in situ tomographic images with axial resolution of less than 10 μm and tissue penetration of 2-3 mm. OCT provides tissue morphology imagery at much higher resolution than other imaging modalities such as MRI or ultrasound. Further, with such high resolution, OCT can provide detailed images of a pathologic specimen without cutting or disturbing the tissue.


Typically, different parameters are required to image different types of vessels, e.g., coronary vessels versus peripheral vessels. Generally, coronary OCT imaging requires very high imaging rates to avoid ischemia during a lengthy blood clearance period and requires relatively moderate field of view to assess vessels with diameters up to approximately 6 mm. Alternatively, peripheral OCT imaging requires very large FOV to assess vessels with much larger diameters but can tolerate lower imaging rates because peripheral ischemia during blood clearance is not a big concern for patient safety. General technical limitations of OCT swept light sources (e.g. lasers) involve a tradeoff between coherence length and high sweep rates. Accordingly, separate OCT systems are used to image the different vessel types, one optimized for coronary imaging and a separate system optimized for peripheral imaging.


SUMMARY

The invention provides an optical coherence tomography (OCT) system that alternates between two imaging modes. A single OCT apparatus according to the invention is used for multiple imaging modes with automated reconfiguration of light source parameters and sample/clocking schemes for each mode. Preferably, one of the imaging modes is optimized for coronary imaging and the other imaging mode is optimized for peripheral imaging, however the invention is not limited to those two modes.


There are numerous different approaches for having a single OCT system that can switch between two different imaging modes. One way involves reconfiguration of the light source. Changing the sweep rate and coherence length of the light source allows for two different imaging modes. Generally, a first imaging mode uses a high sweep rate with a low coherence length. Such a configuration is acceptable for imaging a coronary vessel. A second imaging mode uses a low sweep rate with a high coherence. Such a configuration is acceptable for imaging a peripheral vessel.


Another way to have a single OCT system that can switch between two different imaging modes involves changing sampling characteristics of OCT signal digitization. That can involve changing an external K-space sample clock waveform, which may be accomplished either optically or electrically.


In other embodiments, the system includes two different image acquisition software modules, one for each imaging mode. Another approach is to have a system that is compatible with different types of catheters, one for each imaging mode.


The reconfigurable interferometer of the invention may be a stand-alone apparatus or may be combined with other imaging apparatuses. Other imaging systems, by way of example and not limitation, include spectroscopic devices, (including fluorescence, absorption, scattering, and Raman spectroscopies), intravascular ultrasound (IVUS), Forward-Looking IVUS (FLIVUS), high intensity focused ultrasound (HIFU), radiofrequency, optical light-based imaging, magnetic resonance, radiography, nuclear imaging, photoacoustic imaging, electrical impedance tomography, elastography, pressure sensing wires, intracardiac echocardiography (ICE), forward looking ICE and orthopedic, spinal imaging and neurological imaging, image guided therapeutic devices or therapeutic delivery devices, diagnostic delivery devices, and the like.


Other aspects of the invention provide methods for imaging an inside of a vessel. Those methods involve providing a reconfigurable optical coherence tomography (OCT) system, in which the OCT system is configured to alternate between two different imaging modes. Methods of the invention further involve configuring the OCT system to one of the two imaging modes. An imaging probe of the system is inserted into a vessel and used to image inside the vessel. The OCT system can be configured to the desired imaging mode before inserting the imaging probe into the vessel or after the imaging prove has been inserted into the vessel.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a schematic of the Uniform Frequency Sample Clock Pathways for the external clocking of a swept laser source.



FIG. 2 is a schematic of one embodiment of the Uniform Frequency Sample Clock coupled with an OCT Interferometer.



FIG. 3 is a schematic of one embodiment of Pathway 1.



FIG. 4A is a schematic of one embodiment of Pathway 2; FIG. 4B is a schematic of the trigger generator; and FIG. 4C is a schematic of the auxiliary wavemeter.



FIG. 5 is a schematic of the digitizer with the arbitrary waveform generator.



FIGS. 6A and 6B are cross-sectional view of schematics for alternative embodiments of the auxiliary wavemeter.



FIG. 7 is a schematic of one embodiment of Pathway 2.



FIG. 8 is a schematic of one embodiment of the OCT interferometer.



FIG. 9 is a schematic diagram of the circuit for direct external sample clocking of swept-source OCT using an optical wavemeter.



FIG. 10A is a schematic of a Calibration Gas Cell and the auxiliary wavemeter coupled from the swept source laser; FIG. 10B is a schematic of the optical wavemeter where light making a single-pass 316 and a triple-pass 318 between partial reflectors interferes and produces a periodic signal uniformly spaced in wavenumber (k); and FIG. 10C is a schematic of the calibration gas cell.



FIG. 11 is a schematic of one embodiment of Pathway 6.



FIG. 12 is a graph schematic of one embodiment of external clock circuitry.



FIG. 13 is a schematic of common-path OCT interferometer in phase-sensitive Fourier Domain OCT.



FIG. 14 is a block diagram of phase sensitive Fourier-domain OCT instrument with the Real-Time Imaging Clocking system.



FIG. 15 is an OCT point spread functions vs. depth for an internally clocked/remapped scheme (440) and the externally clocked scheme 442



FIG. 16 is a schematic of one embodiment of the phase sensitive OCT interferometer configuration.



FIG. 17A-17C are graphs of the change in thickness in the piezofilm in response to application of a periodic voltage at increasing frequency (17A: 500 Hz, 17B: 1000H, 17C: 2000 Hz).



FIG. 18 is a schematic of the demultiplexer coupling multiple clock signals from various pathways.





DETAILED DESCRIPTION

Optical coherence tomography (OCT) is a medical imaging methodology using a miniaturized near infrared light-emitting probe. As an optical signal acquisition and processing method, it captures micrometer-resolution, three-dimensional images from within optical scattering media (e.g., biological tissue). An exemplary use of OCT is in interventional cardiology to help diagnose coronary artery disease. OCT allows the application of interferometric technology to see from inside, for example, blood vessels, visualizing the endothelium (inner wall) of blood vessels in living individuals.


OCT systems and methods are generally described in Castella et al. (U.S. Pat. No. 8,108,030), Milner et al. (U.S. Patent Application Publication No. 2011/0152771), Condit et al. (U.S. Patent Application Publication No. 2010/0220334), Castella et al. (U.S. Patent Application Publication No. 2009/0043191), Milner et al. (U.S. Patent Application Publication No. 2008/0291463), and Kemp, (U.S. Patent Application Publication No. 2008/0180683), the content of each of which is incorporated by reference in its entirety. Additional description of OCT systems and methods is described in Kemp (U.S. Pat. No. 8,049,900), Kemp (U.S. Pat. No. 7,929,148), Milner (U.S. Pat. No. 7,853,316), Feldman et al. (U.S. Pat. No. 7,711,413), Kemp et al., U.S. Patent Application Publication No. 2012/0224751), Milner et al. (U.S. Patent Application Publication No. 2012/0136259), Kemp et al., (U.S. Patent Application Publication No. 2012/0013914), Milner et al. (U.S. Patent Application Publication No. 2011/0152771), and Kemp et al. (U.S. Patent Application Publication No. 2009/0046295), the content of each of which is incorporated by reference in its entirety.


OCT systems of the invention include a light source. The light source may be any light source generally used with OCT. Exemplary light sources include a narrow line width tunable laser source or a superluminescent diode source. Examples of narrow line width tunable laser sources include, but are not limited to, lasers having a Bragg diffraction grating or a deformable membrane, lasers having a spectral dispersion component (e.g., a prism), or Fabry-Pérot based tuning laser.


OCT systems of the invention also include an interferometer. The interferometer may be any interferometer generally used with OCT. Typically, the interferometer will have a differential beam path for the light or a common beam path for the light. In either case, the interferometer is operably coupled to the light source. In a differential beam path layout, light from a broad band light source or tunable laser source is input into an interferometer with a portion of light directed to a sample and the other portion directed to a reference surface. A distal end of an optical fiber is interfaced with a catheter for interrogation of the target tissue during a catheterization procedure. The reflected light from the tissue is recombined with the signal from the reference surface forming interference fringes (measured by a photovoltaic detector) allowing precise depth-resolved imaging of the target tissue on a micron scale. Exemplary differential beam path interferometers are Mach-Zehnder interferometers and Michelson interferometers. Differential beam path interferometers are further described for example in Feldman et al. (U.S. Pat. No. 7,783,337) and Tearney et al. (U.S. Pat. Nos. 6,134,003 and 6,421,164), the content of each of which is incorporated by reference herein in its entirety.


The differential beam path optical layout of the interferometer includes a sample arm and a reference arm. The sample arm is configured to accommodate and couple to a catheter. The differential beam path optical layout also includes optical circulators to. The circulators facilitate transmission of the emitted light in a particular direction. Circulators and their use in OCT systems are further described for example in B. Bouma et al. (Optics Letters, 24:531-533, 1999), the entire disclosure of which is incorporated herein by reference. In the interferometer, there is a circulator where the emitted light is split to the sample arm and the reference arm. The system also includes a circulator that directs light to the sample and receives reflected light from the sample and directs it toward a detector. The system also includes a circulator that directs light to the reference surface and received reflected light from the reference surface and directs it toward the detector. There is also a circulator at the point at which reflected light from the sample and reflected light from the reference are recombined and directed to the detector.


In a common beam path system, rather than splitting a portion of the light to a reference arm, all of the produced light travels through a single optical fiber. Within the single fiber is a reflecting surface. A portion of the light is reflected off that surface prior to reaching a target tissue (reference) and a remaining portion of the light passes through the reflecting surface and reaches the target tissue. The reflected light from the tissue recombines with the signal from the reference forming interference fringes allowing precise depth-resolved imaging of the target tissue on a micron scale. Common beam path interferometers are further described for example in Vakhtin, et al. (Applied Optics, 42(34):6953-6958, 2003), Wang et al. (U.S. Pat. No. 7,999,938), Tearney et al. (U.S. Pat. No. 7,995,210), and Galle et al. (U.S. Pat. No. 7,787,127), the content of each of which is incorporated by reference herein in its entirety.


The common beam path optical layout of the interferometer includes a single array of optical fibers that are connected to a circulator. The array of optical fibers are configured to accommodate and couple to a catheter. The circulator directs light transmitted from the light source through the array of optical fibers of the common beam path optical layout to a sample and reference, and receives the reflected light from the sample and reference and directs it to the detector.


OCT systems of the invention include a detector. The detector includes photodetection electronics. The detector can support both balanced and non-balanced detection. OCT detectors are described for example in Kemp (U.S. Pat. No. 8,049,900), Kemp (U.S. Pat. No. 7,929,148), Milner (U.S. Pat. No. 7,853,316), Feldman et al. (U.S. Pat. No. 7,711,413), Kemp et al., U.S. Patent Application Publication No. 2012/0224751), Milner et al. (U.S. Patent Application Publication No. 2012/0136259), Kemp et al., (U.S. Patent Application Publication No. 2012/0013914), Milner et al. (U.S. Patent Application Publication No. 2011/0152771), and Kemp et al. (U.S. Patent Application Publication No. 2009/0046295), the content of each of which is incorporated by reference in its entirety.


OCT systems of the invention may conduct any form of OCT known in the art. One manner for conducting OCT may be Swept-Source OCT (“SS-OCT”). SS-OCT time-encodes the wavenumber (or optical frequency) by rapidly tuning a narrowband light source over a broad optical bandwidth. The high speed tunable laser sources for SS-OCT exhibit a nonlinear or non-uniform wavenumber vs. time [k(t)] characteristic. As such, SS-OCT interferograms sampled uniformly in time [S(t), e.g., using an internal digitizer clock] must be remapped to S(k) before Fourier transforming into the path length (z) domain used to generate the OCT image. An SS-OCT system and methods for its use are described in Kemp et al., (U.S. Patent Application Publication No. 2012/0013914). The content of which is incorporated by reference herein in its entirety.


Generally speaking, a Uniform Frequency Sample Clocking 10 systems and methods for a swept laser source 12 are generally shown in FIG. 1. The Uniform Frequency Sample Clocking 10 comprises at least one Pathway, where some embodiments of the Pathways are generally shown as line arrows in FIG. 1. The line arrows represent electronic or optical coupling elements, such as wires, fibers, and the like. In one embodiment, Uniform Frequency Sample Clocking 10 includes Pathway 1 comprising characterizing 26 the swept laser source 12, creating a digital representation of the waveform based from the characterization data 26, and generating a clock signal 30 using a waveform generator 14 (i.e. a Digital-Analog (“D/A”) converter) to output the clock signal 30 to a digitizer external clock 32. The Uniform Frequency Sample Clocking 10 may include Pathway 2 comprising coupling the swept laser source 12 to an auxiliary wavemeter 16, digitally processing the auxiliary wavemeter 16 output with an Analog-Digital (“A/D”) digitizer 18, and processing the digitizer's 18 output on the D/A converter 14 to generate the clock signal 30 outputted to the digitizer external clock 32. The Uniform Frequency Sample Clocking 10 may include Pathway 3 comprising coupling the swept laser source 12 to the auxiliary wavemeter 16 and processing auxiliary wavemeter 16 output using an analog processor 20 to generate the clock signal 30. The Uniform Frequency Sample Clocking 10 may include Pathway 4 comprises coupling the swept laser source 12 to the auxiliary wavemeter 16, processing the auxiliary wavemeter 16 output with the analog processor 20, digitizing the analog processor's 20 output with the digitizer 18, digitally processing the auxiliary wavemeter 16 output with the D/A converter 19 to generate the clock signal 30. The Uniform Frequency Sample Clocking 10 may include Pathway 5 comprising coupling the swept laser source 12 to the auxiliary wavemeter 16 to directly generate a uniform-frequency sample clock signal with no pre-processing. The Uniform Frequency Sample Clocking 10 may include Pathway 6 coupling the swept laser source 12 to a Uniform Frequency Sample Clock Generator 22 outputting to a digitizer 24 to generate the clock signal 30. The Uniform Frequency Sample Clocking 10 systems and Pathways provide for external clocking of the swept laser source 12 and can provide a different clocking signal through independent Pathways, in combination and in any particular order, to generate the clock signal, process the clock signal, and transmit the clock signal to the digitizer for uniform sampling of detected light in the wavenumber domain. For each acquisition channel, one clock signal may be active at a given time, which may be switched between different clock signals in any particular combination or order. Alternatively, the Uniform Frequency Sample Clocking 10 Pathways may be combined with each other, in any sequence of combinations. More particularly, the Uniform Frequency Sample Clock Pathways 10 provide external clocking of detected light first emitted from the swept laser source for OCT systems. The term “Uniform Frequency Sample Clocking” and “linear sampling in the wavenumber domain” are equivalent terms, as used in the specification. The term “external clock signal” is specific to the type of signal applied to the external clock signal input or the clock signal input of the digitizer external clock 32. The term “clock signal” is the signal as applied to the AD converter card.


The swept laser source 12 includes emitted light with a mean frequency of the output spectrum that varies over time. The term “swept laser source” is synonymous with a “tunable laser source”, i.e. tuning a laser source over a period of time at a certain frequency. The mean optical frequency of light emitted from the swept source may change continuously over time at a tuning speed that is greater than 100 terahertz per millisecond and repeatedly with a repetition period. range of sweep speeds for the table laser source—specifying a range of sweep speeds (e.g., 10,000-10,000,000 Sweeps/sec). The swept laser source 12 may be any tunable laser source that rapidly tunes a narrowband light emission through a broad optical bandwidth. The tuning range of the swept source may have a tuning range with a center wavelength between approximately 500 nanometers and 2000 nm, a tuning width of approximately greater than 1% of the center wavelength, and an instantaneous line width of less than approximately 10% of the tuning range. Alternatively, more than one optical source may be combined to produce the swept laser source, or a continuously swept multi-wavelength laser emitting several optical frequencies or wavelengths simultaneously. While tunable lasers and swept-source lasers are included as the swept laser source, Fourier Domain Mode Locking (“FDML”) lasers may be included as the laser source. In FDML, the spectrum, rather than the amplitude of the field, is modulated. A dynamic spectral window function (wavelength window which changes in time), rather than a temporal one (time window with no wavelength dependence), is applied. As a result, the laser generates a sequence of narrowband optical frequency sweeps at the cavity repetition rate or a harmonic thereof. Multiple tunable wavelength sources may be included, where each tunable wavelength source has a receiver, so each tunable wavelength source is coupled with a detector. The composite of all the tunable wavelength laser sources and detectors can act as very large bandwidth laser source. This frequency-swept output can also be thought of as a sequence of highly chirped, long pulses, with a fixed phase relationship between successive frequency sweeps.


In one embodiment, the swept laser source 12 provides the swept optical output to an OCT interferometer 40 and the Uniform Frequency Sample Clock 10, as shown in FIG. 2. Light emitted from the swept laser source 12 is split between the OCT interferometer 40 and the uniform frequency sample clock 10. The swept laser source 12 may be split in any desired ratio, including, but not limited to 95/5, 90/10, 85/15, 80/20, etc. to the OCT interferometer 40 and the Uniform Frequency Sample Clock 10, respectively. The Uniform Frequency Sample Clock 10 and the OCT interferometer 40 are then coupled to the digitizer 32 and then to a computer for processing and imaging.


The OCT interferometer 40 splits the light emitted from the swept source to a reference surface and a sample arm, which recombines at the output of the interferometer. The OCT interferometer may take any of the variety of configurations known in the art, including, but not limited to, a Michelson interferometer, a Mach-Zehnder Interferometer, and/or a common path interferometer, etc. The Uniform Frequency Sampling clock generator 22 receives light from the swept source or the previously characterized swept source data and outputs to the digitizer to provide linear sampling in the wavenumber (k) or optical frequency (.nu.) domain, allowing direct Fourier transformation into the pathlength (z) domain for real time OCT imaging. The real-time OCT imaging comprises (1) Uniform Frequency Sampling; and (2) direct Fourier transformation of fringe data for real-time OCT imaging. Direct Fourier transformation requires a digital processing element that does the Fourier transform of the Uniform Frequency Sampled OCT fringe data or the “OCT signal data”. Uniform Frequency Sampled OCT fringe data or the “OCT signal data” are used synonymously throughout. Generally speaking, the Uniform Frequency Sample clock 10 provides for linear sampling in the wavenumber domain, digitizing the OCT fringe data in the wavenumber domain for real-time OCT imaging, and combinations thereof. FIG. 15 compares axial point spread functions and OCT images generated with uniform time sampling vs. the uniform frequency sample clocking approach 10 using the Pathways discussed below.


Pathway 1: Characterizing the Swept Laser Source


In one embodiment, the Uniform Frequency Sample Clock 10 includes Pathway 1 comprising a step of characterizing light emitted by the swept laser source 12, creating a digital representation of the waveform based on the characterization data 26, and repeatedly outputting the characterization data 26 for each subsequent optical trigger that occurs as the laser is sweeping, as shown as Pathway 1 in FIG. 1. Data for characterizing light emitted from the swept laser source (“characterization data”) is generated using a high-speed D/A converter, i.e. the waveform generator 14, which is then coupled to the digitizer's 32 external clock input port. The D/A converter 14 outputs the generated Uniform Frequency Sample Clock signal for each laser sweep, triggered by an electrical synchronization pulse or an optical trigger 54 derived from the swept-source laser output. There are several ways to generate the optical trigger 54. In one embodiment, the optical trigger 54 is generated from an optical trigger generator 60, discussed below. In another embodiment, the optical trigger 54 is derived from an optical tuning element in the swept laser source, as the signal may be generated actively or passively. When light is emitted from the swept laser source and interacts with an optical tuning element at the output of the swept laser source, the optical trigger signal is provided. The optical tuning element may be static and does not necessarily need to be actively tuned to function in the role providing the optical trigger signal. Another embodiment to generate the optical trigger 54 is to sample the light with an optical frequency selective element, i.e. a grating spectrometer, interference filter, Fabry-Perot filter, and the like, or combination there-of, and a photo-detector coupled to an A/D converter to provide the optical trigger. So there may be two different optical tuning elements, one within the laser source that functions to tune the laser and one that can be placed at the output of the tuning laser source, which can be used to provide a trigger signal. Combinations of these optical tuning element embodiments can be employed to generate an optimum optical trigger 54.


In one embodiment, the D/A converter 14 may comprise an arbitrary waveform generator 50, as shown in FIG. 3. The arbitrary waveform generator 50 (CompuGen, Lockport, Ill.) provides aperiodic or periodic analog waveforms 52 as their output and generates a pre-programmed waveform every time a trigger event occurs. The pre-programmed waveform is stored in the on-board memory of the arbitrary waveform generator. Arbitrary waveforms 52 are generated by creating a digital representation of the waveform based on the characterization data 26 of light emitted from the swept laser source in the memory of the arbitrary waveform generator. The digital representation pattern is converted into an analog signal using a high-speed Digital-to-Analog converter and conditioning amplifiers (buffers and attenuators) within the arbitrary waveform generator 50. The external clock signal 34 is derived from the characterization data of the swept source during a start-up calibration step, and then repeatedly outputted by the arbitrary waveform generator for each subsequent optical trigger 54 signal that occurs as the laser is sweeping. Alternatively, the external clock signal 34 from characterization data 26 can also be completed periodically according to some schedule programmed by a computer software 58, or may be performed in response to some event such as a parameter (or combination of parameters) of the source changing (e.g., temperature). The uniform frequency sample clock by the characterization of the swept laser source data 26 allows acquisition (analog to digital conversion) of OCT interferometer 40 data directly in wavenumber (k) space.


As shown in FIG. 1, characterizing the swept laser source data 26 may include a factory calibration 28 of the swept laser source; obtaining laser properties 34 of the laser source; or obtaining a parametric model of the swept laser source. The factory calibration 28 of the swept laser source may be obtained from the manufacturer of the swept laser source. Obtaining laser properties 34 of the laser source comprises a real time external sensor to obtain optical and environmental data about the swept laser source, such as temperature, position of optical elements, gradient, etc. The characterization data 26 may include prior knowledge about the swept laser source in the form of coefficients, a look-up table, or the parametric model to generate the clock signal. A lookup table (LUT) is a data structure, usually an array or associative array, used to replace a runtime computation with a simpler array indexing operation. The speed gain can be significant, since retrieving a value from memory is often faster than undergoing an expensive computation or by giving an output value for each of a range of index values. The parametric model of the laser source can be relied on to generate the swept laser source characterization data. The swept laser source characterization data may be obtained from the parametric model and a real-time measurement of one or more properties of the swept laser source. A parametric model is a set of related mathematical equations in which alternative scenarios are defined by changing the assumed values of a set of fixed coefficients (i.e. parameters). The parametric model is specified by a functional relationship between model parameters, where some of the parameters can be measured in real time and other parameters are fixed or factory values. By imputing the model parameters into the parametric model, the swept laser source characterization data may be generated. The parametric model can be provided with a software program in a host PC 58 to create a digital and then analog representation, as shown in FIG. 3. The analog representation will require a D/A converter or waveform generator, as described previously. All such characterization data 26 is outputted to the arbitrary waveform generator to give a Uniform Frequency Sample Clock signal for the digitizer.


Pathway 2: Auxiliary Wavemeter Coupled with a A/D and D/A Converter


In one embodiment, the Uniform Frequency Sample Clock 10 includes Pathway 2 comprising coupling the swept source 12 to the auxiliary wavemeter 16 and the A/D converter or digitizer 18, as shown in FIG. 4A. The A/D converter 18 is an electronic internal circuit that converts continuous analog signals to discrete digital numbers. The D/A converter, otherwise known as the arbitrary waveform generator 14, is then used to output a digitally-processed Uniform Frequency Sample Clock signal 30 to the external clock signal 34 input of the digitizer 32. The Uniform Frequency Sample Clock signal 30 is repeatedly outputted for each subsequent optical trigger 54 that occurs as the laser is sweeping the optical trigger is generated. The optical trigger 54 may be generated by any of the previously discussed methods.


For one embodiment of Pathway 2, a portion of the light emitted from the swept source 12 is coupled to the auxiliary wavemeter 16 and the optical trigger generator 60 via a 50/50 coupler 66 or an arbitrary splitting coupler, which splits the light into the auxiliary wavemeter 16 and the optical trigger generator 60. The auxiliary wavemeter 16 may be any type of wavemeter, including, but not limited to, a Mach-Zehnder, Michelson, or a Fabry-Perot interferometer. Fabry-Perot interferometers are preferred if the OCT interferometer 40 is phase-sensitive. If the OCT interferometer 40 system is not phase-sensitive, then Mach-Zehnder, Michelson interferometers, or etalons may be used as the auxiliary wavemeter 16. As shown in FIG. 4B, in one embodiment of Pathway 2, the optical trigger generator 60 includes a photoreceiver 62 and an inverter 64 to generate an electronic trigger signal 54, based on Transistor-Transistor Logic (“TTL”). TTL digital circuits are built from bipolar junction transistors, and resistors with both the logic gating function (e.g., AND, Inversion, etc.) and the amplifying function are performed by transistors. The optical trigger generator 60 generates the electronic trigger signal 54 according to when the swept source laser 12 light is being emitted. The trigger signal 54 is used to synchronize the digitizer 32 and arbitrary waveform generator 14 electronics when the laser has begun a sweep of its light emission. In another embodiment of Pathway 2, the optical trigger generator 60 may be derived from the tuning element in the swept laser source, either the transducer driving the tuning element or some transducer reading the tuning element (e.g., encoder or interferometric signal), which might be light based. Alternatively, the optical trigger generator 60 may be derived by sampling the light emitted from the swept laser source, where the sampling element can be one or more combinations of optical frequency selective elements, as discussed previously. Combinations of these approaches can be employed for the optical trigger generator 60.


As shown in FIG. 4C, in one embodiment, the auxiliary wavemeter 16 is a Mach-Zehnder interferometer, where the input from the coupler 66 extends into a 50/50 coupler 70 to separate the Mach-Zehnder into two output paths. A first output path from coupler 66 extends into a Variable Delay Line VDL 72, a second output path from the coupler 66 extends to a Polarization Controller 74. The variable delay line 72 system consists of an input fiber, a retro-reflecting mirror on a translation stage, and an output fiber. A manual dial or electrical motor controls the variable length, or delay, inserted into the optical path, as selected according to various factors of the swept laser source being used. The pathlength delay determines the clock frequency. Both the polarization controller 74 and the VDL 72 extend to a 50/50 coupler 76, which recombines the separate paths of the Mach-Zehnder interferometer to dual-balanced photoreceiver 78.


In one embodiment of Pathway 2, the Uniform Frequency Sample Clock 10 generates an external sample clock signal 34 linked to the high-speed digitizer card 32, as shown in FIG. 5. The high-speed digitizer card 32 is coupled to the output of the OCT interferometer 40, the output of the auxiliary wavemeter 16, the trigger signal 54 from the trigger generator 60, and the arbitrary waveform generator 50. The high-speed PCI digitizer card 32 can be a dual-channel high resolution 16 bit, 125 MS/s waveform for the PCI bus. The external sample clock signal 34 is derived from an auxiliary optical wavemeter photoreceiver 78 during a start-up calibration step, and then repeatedly outputted by the arbitrary waveform generator 50 for each subsequent optical trigger signal 54 that occurs as the laser is sweeping. The external clocking system of Pathway 2 allows for the wavemeter-generated clock signal to be filtered and processed in software before being outputted by the arbitrary waveform generator 14. Thus, the external clock derived from the auxiliary wavemeter 16 is regenerated by the arbitrary waveform generator 50 (Gage CompuGen) to allow acquisition of data directly in wavenumber (k) space.


In another embodiment of Pathway 2, the auxiliary interferometer 16 is a Fabry-Perot interferometer, as shown in FIGS. 6A and 6B. FIG. 6A shows a transmission mode Fabry Perot interferometer 80 made from a ferrule 82 having an internal diameter the same OD as the optical fiber cladding connected from the coupler. The transmission mode ferrule 82 includes a single mode (SM) optical fiber 84 with a first interface 86 and a second interface 88, where each interface is coated with a metal or dielectric material to achieve a desired reflectively. The optimum reflectivity at each interface will be chosen to maximize interference fringe visibility (i.e., matched intensity reflected from each interface into detection path) as is known in the art of fiber Fabry-Perot interferometers. Reflectivity can be controlled by coating the intermediate fiber segment 90 of the SM fiber 84 with a carefully-deposited metal or dielectric surface on each end during assembly. For example, to calculate the optimum reflectivity (R1) of the first interface in transmission mode, the following quadratic equation is solved so that the two interfering beams have the same intensity (and max visibility): R1=(1−R1).sup.2, which is solved as: R1=38.1%. Quadruple and higher-order reflections will produce harmonics, with much reduced intensity, in the fringe signal, which can processed electronically with a filter. Control of temperature of the fiber Fabry-Perot interferometer's thermal expansion/contraction to maintain a stable path-length difference provides a control for variable frequency wavemeter output.


The intermediate portion of the fiber segment 90 lies in between the first and second interface of the transmission mode ferrule. The birefringence in the intermediate fiber portion must be kept to a minimum so that both reflections will have the same polarization state. The optical path length is chosen based on desired interference fringe frequency, which can be 4 mm-6 mm for most OCT swept sources. The double-pass path length determines the clock frequency, as opposed to the single pass pathlength. The pathlength can be longer, for example in some implementations the optical path length is 10 mm, which can vary to different optical path lengths, from 5-20 mm. The pathlength delay in the Fabry-Perot determines the clock frequency as in other clocking interferometers.


The light 92 from swept laser source enters through input fiber 84 of the ferrule 82. Some light is partially reflected at the first interface 86 within the intermediate fiber segment 90 and then discarded; possibly needing an optical isolator to protect the source. The remaining light is transmitted through intermediate fiber segment 90 and partially reflected at second interface 88. The reflected portion is transmitted back to first interface, where the light is again partially reflected. Transmitted light is discarded as previously and reflected portion makes a second forward propagation through intermediate fiber segment 90 and is partially transmitted at second interface 88 into an output or collection fiber 94. This portion interferes with the portion transmitted into the output fiber from the second interface on the initial reflection. Thus the path length delay sets the sampling of the optical frequency signal. The path length delay between the two transmitted portions is twice the optical path length of the intermediate fiber segment. And the path length delay sets the sampling of the optical frequency signal. Detection of the interference fringes is accomplished after collection of the light with the output fiber, which is coupled to a photoreceiver and the high speed digitizer as the auxiliary wavemeter 16 signal, as previously indicated, to directly clock the swept source or resample the wavemeter 16 signal in a post-acquisition step.


In another embodiment of the auxiliary interferometer 16, as shown in FIG. 6B, the reflection mode Fabry Perot interferometer 80 includes the ferrule 82 having an internal diameter the same OD as the optical fiber cladding connected from the coupler. The reflection mode ferrule 82 is coupled to a polarization-insensitive circulator (not shown) and a single mode optical fiber 84 with a first interface 86 and a second interface 88, where each interface is coated with a metal or dielectric material to achieve appropriate reflectively, as indicated previously. The SM fiber 84 includes an end portion of the fiber segment 90 that lies in between the first and second interface 86 and 88. The optical path length is chosen based on desired interference fringe frequency, which can be about 2 to about 1000 mm for most OCT swept sources. Light 92 from swept laser source enters port 1 of a polarization-insensitive optical circulator and is send outward on port 2. The fiber comprising port 2 becomes the input fiber to the inline delay device. Light 92 is partially reflected at first interface 86 within optical fiber 84. Then, the transmitted portion forward-propagates to the second interface 88, which has a maximum reflectivity. Light reflected from the second interface 88 backward-propagates to the first interface 86, where the light is partially reflected again as a second partially reflected light. The transmitted portion from the second partially reflected light beam and the reflected portion from the original incident beam then interfere and are collected on port 3 on the circulator where they are then detected by a photoreceiver, which is coupled to the high speed digitizer as the auxiliary wavemeter signal, as previously indicated.


An etalon is not substantially different from a Fabry-Perot, as the two terms are used interchangeably in the art as Fabry-Perot etalon. The Fabry-Perot etalon can be a fiber version or a free-space version. In the etalon approach, incident light (free-space) is multiply-internally reflected in a highly-controlled and wavelength-specific manner such that internal interference allows transmission of wavelengths in a periodic fashion. Frequency of this periodic transmission function depends on the thickness of the etalon and the laser sweep speed (cm.sup.-1/s or Hz/s). Adverse environmental effects are reduced by having light propagated along a common path, and high finesse provided by careful control of the facet reflectivity is required.


In another embodiment, Pathway 2 comprises coupling the swept laser source 12 to the auxiliary wavemeter 16 and a sweep detector 68, as shown in FIG. 7. As the swept laser source 12 starts its sweep, the sweep detector 68 collects an intensity profile of the laser sweep, which is fed into a Delay Generator 98. The Delay Generator 98 has a comparator built in so that it can shape the intensity profile of the laser into a square wave. This square wave can be varied in length from 20-50 uS, depending on what is needed. This 20-50 uS wavelength is dependent on the laser can be easily modified to for different laser sweep speeds and duty cycles. This shaped square wave is then fed into a switching circuit 46.


The OCT Interferometer 40 operates normally; sending the OCT fringe signal data to the digitizer 32 that is clocked by the process that occurs with the auxiliary wavemeter 16. The auxiliary wavemeter 16 can be any of the previously described wavemeters, Mach-Zehnder, Michelson, Fabry-Perot, inline Fabry-Perot, and the like. The auxiliary wavemeter 16 creates an interference pattern that has a non-uniform frequency in time, based on the path length mismatch when the laser is operating. This auxiliary wavemeter 16 signal is converted to an electrical signal using a balanced photodetector, which is then passed into a circuit that includes a buffer 42 and a high pass filter 44. The signal is buffered for impedance matching purposes, and then the signal is directed into the high pass filter 44 to remove low frequency components than a cutoff frequency. The filtered signal is then directed into an electronic switch circuit 46. The electronic circuit switch establishes connections between links, on demand and as available, in order to establish an end-to-end circuit between devices. The connections are temporary, continuous, and exclusive in nature. When the laser power is less than the threshold level or the wavelength of the laser sweep is outside of a certain range (i.e. a false condition), the trigger signal from section is 0 volts, and 5V when the condition is true. The output of the switch circuit 46 is an external clock when a 0V signal into the trigger of the switch circuit 46. This external clock is not tied to the laser in any way and is always running. The output of the switch circuit 46 is the filtered signal from the auxiliary wavemeter 16 when the trigger voltage is 5V (when the condition is true). This satisfies the condition of some A/D cards to always have a clock on the input, even while the laser is not on.


Regardless of the output of the switch circuit 46, the signal is high pass filtered through the high pass filter 48. The signal from the high pass filter 48 is coupled into a high speed comparator 38. A comparator is a device which compares two voltages or currents and switches its output to indicate which is larger. The high speed comparator 38 converts the signal from the high pass filter into a square wave that has a voltage level compatible with the digitizer 32 external clock input parameters. The high pass filter 48 and comparator 38 help clean up the signal. The signal is then fed into the external clock on the digitizer 32 A/D card.


OCT Interferometer


In one embodiment, as shown in FIG. 8, the OCT interferometer 40 can comprise, a Mach-Zehnder interferometer configuration 100, which measures the complex mutual coherence function (magnitude and phase) between two non-reciprocal optical paths, one path encompassing an object under test, i.e. “the sample”, and the other a reference path. Alternatively, the OCT interferometer can comprise a Michelson interferometer configuration which measures the same coherence function in a reciprocal configuration, i.e. the same splitter/coupler is used for both input splitting and output recombination. A SS-OCT system and calculations for the OCT interferometer is generally described and explained by the inventors in U.S. patent application Ser. No. 11/446,683, and Provisional Application Ser. No. 60/932,546, herein incorporated by reference.


The OCT system 100 has swept light source 12 with cascaded fiber optic couplers to subdivide the source light into three primary modules (1) the primary OCT interferometer, (2) the auxiliary wavemeter interferometer 16, and (3) the optical trigger generator 60. In one embodiment, the swept light source 12 is a High Speed Scanning Laser HSL-2000 (Santec) with an instantaneous coherence length of over 10 mm, an 110 nm Wavelength Scan Range, and a scan rate of 20 kHz. Line-arrows generally designate optical fibers coupled the elements of the OCT system 100.


As shown in FIG. 8, in one embodiment of the OCT interferometer 100, 90% of the radiant output of the swept light source 12 is split into the primary OCT interferometer by coupler 110. Coupler 110 splits light into a coupler 112 and a coupler 114. Then coupler 112 splits light 90% of the directed light to port 1 of a 3-port polarization insensitive optical circulator 120 for the sample path and 10% of the light is directed to port 1 of a 3-port polarization insensitive optical circulator 122 for the reference path. Port 2 of circulator 120 for the sample path is coupled to a sample 124. The sample path can be coupled to a probe or catheter 126 via a fiber optic rotary junction (not shown). Examples of a rotating catheter tip for the sample path include, a catheter for in-vivo imaging as described in U.S. Provisional Application No. 60/949,511, filed Jul. 12, 2007, a turbine-type catheter as described in Patent Cooperation Treaty application PCT/US04/12773 filed Apr. 23, 2004; or a rotating optical catheter tip as described in U.S. patent application Ser. No. 11/551,684; or a rotating catheter probe as described in U.S. patent application Ser. No. 11/551,684; each herein incorporated by reference for the methods, apparatuses and systems taught therein. The catheter can be located within a subject to allow light reflection off of subject tissues to obtain optical measurements, perform medical diagnosis, complete treatment, and the like.


Continuing with FIG. 8, port 2 of the optical circulator 122 is coupled to a polarization controller 130 and a Variable Delay Line (“VDL”) 132 for the reference path. The VDL 132 extends to reference reflector 134. The variable delay line 132 system consists of an input fiber, a retro-reflecting mirror on a translation stage, and an output fiber. A dial controls the variable length, or delay, inserted into the optical reference path. The typical length variation is about 6 cm, while the typical time delay is about 300 picoseconds. The VDL 132 provides for larger path-length adjustments with micron-size adjustment being the smallest increments.


For the reference path, port 3 of the optical circulator 122 is then coupled to a 50/50 coupler 116, while port 3 of the optical circulator 120 is coupled to the coupler 116 for the sample path. The reference and sample paths encompass the total optical path beginning at the split in coupler 112, into ports 1 of the circulators 122 and 120, out of and back into ports 2 of the circulators 122 and 120, out of ports 3 of the circulators 122 and 120, and ending at their combination in coupler 116. The coupler 116 includes outputs 3 and 4 to a dual-balanced photoreceiver 140. The photoreceiver 140 comprise a detection element, such as an InGaAs photodiode and a transimpedance amplifier, which converts the electrical current signal generated by photons absorbed by the photodetector element into a voltage signal that can be read by the digitizer. Typically, some gain amplification is given at this stage or in a following stage, as well as some filtering for removing noise that is outside of the relevant electrical signal bandwidth. The gained and filtered voltage signal is digitized. The OCT interferogram [S(k)] is digitized at 16-bit resolution using a high-speed PCI digitizer 142 board (AlazarTech ATS660, Toronto, Canada) coupled to the photoreceiver 140 from the primary OCT signal and the photoreceiver from auxiliary wavemeter 16. The external clock derived from the wavemeter and regenerated by the arbitrary waveform generator (Gage CompuGen) allows acquisition of OCT signal data directly in wavenumber (k) space. S(k) is converted using the Fast Fourier Transform (FFT) into the pathlength (z) domain. The magnitude of the transformed OCT A-scan [|S(z)|] represents the backscattered magnitude at depth z in the sample. The digitizer is coupled to a computer processor 144, which is a state-of-the-art workstation with a fast multi-core processor, RAID striped disk array, and large RAM space. Alternatively, the computer processor 144 includes a distributed acquisition and processing system, as described in U.S. patent application Ser. No. 11/868,334, filed Oct. 5, 2007, herein incorporated by reference.


OCT Depth Calibration and Automated Range Adjustment


Circular and cylindrical OCT scanning devices, i.e. the rotation catheter scanning devices discussed previously, sample physical space in an inherently polar coordinate system (e.g. radius and angle rather than length and width). Circular and cylindrical OCT scanning devices are applied to image physiological structures with cylindrical-like cross sections e.g., airways and blood vessel lumens). However, digital representations of the images (i.e. arrays of pixels representing numeric values) are inherently rectangular. A method for detecting and using OCT image features, either intentionally or artifactually generated, comprises automatically adjusting the depth range in polar (“radar-like”) OCT images.


Polar OCT images must be converted from their rectangular representation before displaying to the viewer. Additionally, if quantitative values (e.g. lumen diameters, lumen areas, circumferences, etc.) are to be measured on the polar image, then the transformation from rectangular to polar must preserve relative distances between pixels in all dimensions (radial and angular). Generally, the OCT depth scan (y axis in rectangular coordinates) maps directly to radius and the OCT circumferential scan (x axis in rectangular coordinates) maps to some increment of 2*Pi radians (or 360°.) polar angle.


For example: y=0 (the top row of the rectangular image) maps to radius=0 (the center of the polar image) and y=ysubmax (the bottom row of the rectangular image) maps to radius=ysubmax (the perimeter of the polar image). Likewise, x=0 (the left column in the rectangular image) maps to angle=0° and x=xsubmax/2 maps to approximately 180° and x=xmax maps to an angle of approximately 359°.


For accurate quantitative dimensional measurement in polar images, pixels mapping to radius=0 must represent the actual physical space at the center of the axis of rotation of the imaging probe, otherwise the polar image will be artificially warped (expanded or contracted) in the radial direction. However, in an arbitrary OCT image, the pixels at y=0 do not necessarily satisfy this requirement and must be shifted in the y dimension until this is satisfied before mapping to a polar representation. Differential displacements (either controlled or uncontrolled) in the path length of the sample vs. reference arms of the interferometer will shift the pixels in the y dimension.


Uncontrollable displacements can occur when using cylindrical (actually helical)-scanning fiber-optic OCT catheters; for example, when the catheter is pushed or pulled longitudinally, the fiber-optic cable can be compressed or stretched and thus a path length displacement is incurred.


The method is an automatic recognition of the uncontrolled displacement effect based on searching for image features that should be stationary (but are not due to uncontrollable displacement), and successive calibration of OCT image data so that polar representations can then be used for accurate dimensional measurements. Finally, a method is provided for subsequent removal of image features in image prior to display.


Image features used by the method are generated within the catheter itself (not within the imaged subject or surroundings) and should appear somewhat stable in depth and consistent in intensity throughout the 360°. rotation of the catheter. These include but are not limited to back reflections at interfaces between optical components (aka “ghost-lines” or “echo artifacts”, these occur along the optical axis of rotating parts and thus appear as uniform circles in the polar image when no differential path length displacement occurs over the course of one catheter rotation), or reflections from the boundaries of or from within the stationary (non-rotating) catheter sheath (if it is circular in cross-sectional profile and also mechanically concentric with the rotating portion).


Steps in the automatic recognition and calibration method could include: (1) Averaging the OCT image frame along the x—(i.e. angular) dimension. This selectively enhances the feature(s) which are rotationally stable in the y dimension (i.e radius) vs. other image features generated by subject or surroundings. Efficacy of the method is improved if the image feature(s) used have high intensity relative to the surrounding pixels and if subject/environment features (noise) do not have strong circumferential symmetry; (2) Find feature(s) using peak searching, correlation, thresholding, or other pattern recognition algorithms known in the art. The efficacy of this method is improved if the range over which uncontrolled path length displacements can occur is known a priori, thus limiting the required search space; (3) Compare the y-value(s) of feature(s) found in step 2 to a pre-calibrated y-value which represents the actual physical location(s) of that feature(s) relative to the rotational axis, or to the location of a known “conjugate image” or “aliased image” of that feature(s) when using spectral-domain OCT; (4) Calibrate by shifting the OCT image pixels in the y dimension by the difference between searched feature(s) and pre-calibrated feature(s). Multiple features can be used to improve efficacy of the algorithm. After shifting the rectangular image in the y dimension, map to polar image coordinates. Radii measured to the center of the calibrated polar image will represent actual radii measured to the rotational axis in physical space. Often image features due to the catheter are unwanted for effective and distraction-free display of the subject/environment features. For example, the catheter image features could overlap the subject/environment features.


Steps to remove (or make less noticeable) the image features could include: (1) Cropping out the image feature(s) extent in the y/radial direction and in all columns/angles; (2) Calculating the average value of the pixels immediately inside and outside (above and below) of the cropped region for all columns/angles and inserting this averaged row/circumference in the cropped location. Unfortunately, the cropping operation can also remove subject/environment features and distorts the image in the radial dimension. This distortion makes measurement of accurate quantitative values on such images more complicated, because the measurement tool must then consider where pixels have and have not been cropped (or make the measurement on the un-cropped image).


Pathway 3: Auxiliary Wavemeter Coupled with an Analog Processor


In another embodiment of the Uniform-Frequency Sample Clock 10, Pathway 3 comprises the auxiliary wavemeter 16 coupled with an analog processor, shown as in FIG. 1. The auxiliary wavemeter 16 can be any of the previously described wavemeters, Mach-Zehnder, Michelson, Fabry-Perot, inline Fabry-Perot, and the like. The analog processor can be any processor (e.g. filtering, pulse shaping, rectifying, and/or switching processor, etc.) that the wavemeter outputs to obtain a Uniform-Frequency Sample Clock signal which meets the specifications of the digitizer external clock input port. In one embodiment, the analog processor is a circuit 200 coupled to the high-speed digitizer to sample the clock signal, as shown in FIG. 9. During the laser sweep, this clock is the temporally-non-linear but the wavenumber-linear (frequency-linear) wavemeter clock. When the laser sweep is absent, this clock can be replaced with a dummy clock which has been pre-phase-locked with the k-space auxiliary wavemeter clock. Thus, high-speed digitizers are enabled to be operated in a mode where the Uniform-Frequency Sample Clock is used to directly sample the OCT signal, which avoids the need to acquire this Uniform-Frequency Sample Clock signal on a different channel and post-process data that slows down real time image display.


The sampling circuit 200 for the external sample clock signal is derived from the auxiliary wavemeter 16 during the limited duty cycle of a tunable laser source and is derived from a pre-locked (in phase and frequency) voltage controlled oscillator 270 (“VCO”) during the non-sweeping segment of each duty cycle, as shown in FIG. 9. A VCO is an electronic oscillator designed to be controlled in oscillation frequency by a voltage input. The frequency of oscillation is varied by the applied DC voltage, while modulating signals may also be fed into the VCO to cause frequency modulation (FM) or phase modulation (PM); a VCO with digital pulse output may similarly have its repetition rate (FSK, PSK) or pulse width modulated (PWM). A phase locked loop (PLL) is used to sync the VCO output 274 with the optical wavemeter output before the sweep cycle is complete, at which time the external sample clock is switched from the optical wavemeter output to the output of the VCO (the dummy clock). A PLL is a control system that generates a signal that has a fixed relation to the phase of a “reference” signal. The PLL responds to both the frequency and the phase of the input signals, automatically raising or lowering the frequency of a controlled oscillator until it is matched to the reference in both frequency and phase. When the laser sweep begins again, lock is regained and the output is again switched to the k-space auxiliary wavemeter output.


The sampling circuit provides a continuous sample clock with acceptable jitter specifications to the digitizer's external sample clock input port. The locking of dummy and wavemeter clocks in phase and frequency by the PLL allows a handoff between clock sources to be free from spurious and instantaneous phase changes and frequency changes which could induce an error in the digitizer clock control circuitry.


In one embodiment, the sampling circuit 200 for direct external sampling of swept source OCT data comprises a clock conditioning block 230, a phase comparator 240, a gain-filtering block 244, a voltage controlled oscillator 270, a sample-and-hold block 260, an analog switch 250, a digital switch 290, a timing control block 280, and a post-filtering/deglitching block 294.


As shown in FIG. 9, the clock conditioning block 230 receives an input from the auxiliary wavemeter 16. The clock conditioning block 230 takes a sinusoidal analog voltage generated in the auxiliary wavemeter photodetector, and the clock conditioning block 230 filters out unwanted noise and DC component using a bandpass filter. The clock conditioning block 230 generates a digital pulse train (approximately 0-5V) at same frequency as input voltage signal and outputs 232 and 234 to the phase comparator 240 and main digital switch.


The phase comparator 240 outputs an analog voltage that is proportional to the difference in phase (and thus frequency) between the signals on its inputs, the conditioned k-space clock 230 and the VCO output 272. The phase comparator 240 can be embodied using various methods such as a charge-pump phase comparator, analog multiplier, an exclusive-NOR logic gate, i.e. an “XOR gate”, etc. The phase comparator 240 outputs to the gain-filtering block 244. The gain-filtering block 244 averages the analog output voltage from the phase comparator 240 and is used to “tune” the PLL characteristics. The conditioned voltage output from the gain-filtering block 244 controls the VCO 270.


The voltage controlled oscillator 270 outputs a digital pulse train with frequency proportional to the input 252 voltage from the analog switch 250. The pulse train is negatively fed-back into an input 272 of the phase comparator 240. This closed-loop feedback or phase locked loop (PLL) causes the VCO 70 to oscillate in phase with the conditioned k-space clock 230. The phase locked loop syncs the VCO output 274 with the optical wavemeter output 16 before the sweep cycle is complete, at which time the external sample clock 298 is switched from the optical wavemeter output 16 to the output 274 of the VCO, dummy clock. When the laser begins to sweep again, lock is regained and the output is again switched to the k-space auxiliary wavemeter output 16.


The sample-and-hold circuit 260 samples and holds the output 246 voltage of the gain-filtering block 244 shortly before loss of the k-space auxiliary wavemeter clock 230. Then the sample-and-hold circuit 260 uses the analog switch 250 applied to the input 252 of the VCO 270. This maintains the VCO 270 output 272, 274 with the same phase and frequency as it was operating before loss of the k-space auxiliary wavemeter. Sample and hold operation is controlled from a signal 282 in the timing control block 280.


The analog switch 250 changes the input 52 to the VCO 270 between two analog sources (1) the sample-and-hold block 260, during dummy clock operation, and (2) the gain-filtering block 244 during wavemeter operation. The analog switch 250 is controlled from a signal 284 in the timing control block. The digital switch 290 changes the output of the entire clocking circuit between the digital conditioned auxiliary wavemeter clock 230 output 232 and the VCO 270 output 274 clock (when sweep is not present). The digital switch is controlled from a signal output 286 from the timing control block 280.


The timing control block 280 orchestrates analog switching 284, digital switching 286, and sample-and-hold operation 282 based on a trigger input signal from the swept laser source or other threshold detector. The post-filtering/deglitching block 294 removes any spurious glitches caused by switching, insures a strong full-range digital signal 296 is available for the digitizer external sample clock input.


Pathway 4: Auxiliary Wavemeter Coupled with an Analog Processor and D/A Converter


In another embodiment of the Uniform-Frequency Sample Clock 10, Pathway 4 comprises the auxiliary wavemeter 16 coupled with the analog processor 20, the AID digitizer 18, and a D/A converter 14, as shown in FIG. 1. Alternatively, a software processing step may be included after the D/A converter, or between the A/D digitizer and the D/A converter. The auxiliary wavemeter 16 can be any of the previously described wavemeters, Mach-Zehnder, Michelson, Fabry-Perot, inline Fabry-Perot, and the like. The analog processor 20 can be any processor (e.g. filtering, pulse shaping, rectifying, and/or switching processor, etc.) that the wavemeter 16 outputs to obtain a Uniform-Frequency Sample Clock signal, which meets the specifications of the digitizer external clock input port. In one embodiment, the analog processor 20 is the circuit 200 coupled to the high-speed digitizer to sample the clock signal, as shown in FIG. 9. During the laser sweep, this clock is the temporally-non-linear but wavenumber-linear (frequency-linear) wavemeter clock. When the laser sweep is absent, this clock can be replaced with a dummy clock which has been pre-phase-locked with the k-space auxiliary wavemeter clock. Thus, high-speed digitizers are enabled to be operated in a mode where the Uniform-Frequency Sample Clock is used to directly sample the OCT data signal, which avoids the need to acquire this Uniform-Frequency Sample Clock signal on a different channel and post-process data that slows down real time image display.


The analog processor 20 outputs to an AID converter 18, which then outputs to the D/A converter. Alternatively, the software processing is included after the D/A converter, where the digitized signal is processed to a software clock signal that is input to the D/A converter, and then output to the External Clock input on the D/A converter. The D/A converter 14, is the arbitrary waveform generator, outputs the generated Uniform-Frequency Sample Clock signal for each laser sweep, triggered by an electrical synchronization pulse derived from the swept-source laser output. The external clock signal is derived from the analog processor 20 during the start-up calibration step, and then repeatedly outputted by the arbitrary waveform generator 14 for each subsequent optical trigger signal that occurs as the laser is sweeping. The Uniform Frequency Sample Clock signal is sent to the digitizer to allow the acquisition of data directly in wavenumber (k) space. From the auxiliary wavemeter, D/A converter, and then the A/D converter, and repeatedly generating the clock signal, the option of inserting a software processing step between the A/D and D/A steps remains.


Pathway 5: Auxiliary Wavemeter Coupled to the Swept-Source


In another embodiment of the Uniform Frequency Sample Clock 10, Pathway 5 includes coupling the swept source to the auxiliary wavemeter 16 and to the digitizer 32, without any pre-processing, as shown in FIG. 1. The auxiliary wavemeter 16 can be any of the previously described wavemeters, such as the Mach-Zehnder, Michelson, Fabry-Perot, inline Fabry-Perot, and the like. Alternatively, the auxiliary wavemeter 16 may be a Mach-Zenhder or Michelson interferometer depending on the OCT system employed. The auxiliary wavemeter 16 outputs a periodic signal uniformly spaced in wavenumber. The auxiliary wavemeter 16 output is used as an external clock for the High-Speed digitizer so that the OCT signal date is digitized uniformly in the wavenumber domain [S(k)]. Digitizing the OCT signal data uniformly in the wavenumber domain allows direct Fourier-transformation into the pathlength (z) domain and construction of the OCT image without time-intensive remapping. Following this approach, the nonlinear sweep characteristic of the tunable laser source is effectively removed and OCT images can be displayed in real-time.


Pathway 6: Auxiliary Wavemeter and Gas Cell Calibration Coupled to Swept Source


In another embodiment of the Uniform Frequency Sample Clock, Pathway 6 includes coupling the swept source 12 to the uniform frequency sample clock generator 22, as shown in FIG. 1. The uniform frequency sample clock generator 22 includes an optical wavemeter 300 and a gas cell calibration 310, as shown in FIG. 10A. A 50/50 coupler 302 splits the light from the swept source 12 to the optical wavemeter 300 and the gas cell calibration 310. The optical wavemeter 300 can be any of the previously described wavemeters, such as the Mach-Zehnder, Michelson, Fabry-Perot, inline Fabry-Perot, and the like. Alternatively, the optical wavemeter 300 may be a Mach-Zenhder or Michelson interferometer depending on the OCT system employed. The optical wavemeter 300 outputs a periodic signal uniformly spaced in wavenumber. The optical wavemeter output 304 is used as an external clock for the High-Speed digitizer so that the OCT signal data is digitized uniformly in the wavenumber domain [S(k)]. Digitizing the OCT signal data uniformly in the wavenumber domain allows direct Fourier-transformation into the pathlength (z) domain and construction of the OCT image without time-intensive remapping. Following this approach, the nonlinear sweep characteristic of the tunable laser source is effectively removed and OCT images can be displayed in real-time.


In one embodiment, the optical wavemeter 300 is a fiber-based Fabry-Perot interferometer with a pathlength difference generated by two in-line partially reflecting surfaces 306 and 308, as shown in FIG. 10B. A single-pass of light 316 and a triple-pass of light 318 between the partial reflectors 306 and 308 interferes and produces a periodic signal uniformly spaced in wavenumber (k). The pathlength difference is selected to produce a fringe output in wavenumber (k) space corresponding to Nyquist sampling of the longest detectable pathlength difference. The longest detectable pathlength can be a function of various factors and is always limited by the coherence length of the laser source. In cardiovascular applications, a fairly long detectable pathlength on the order of 10 min may be applied. With swept laser sources, the pathlength can be as long as a few meters (2000 mm); however, the sweep may be very slow (10 sweeps/s). Sources with a longer coherence length (detectable pathlengths) that have a faster sweep speed, with a range of 2-2000 mm. Sources with very long coherence lengths can use multiplexing principles, as described in patent application entitled “OCT Using Spectrally Resolved Bandwidth, U.S. patent application Ser. No. 11/446,683. The Uniform Frequency Sample Clocking pathways are applicable to multiplexed OCT as well.


The partial reflecting surfaces 306 and 308 are encased in a mechanically and thermally isolated enclosure to insure phase stability. A 50/50 splitter 312 and parallel balanced detector 314 is incorporated in the optical wavemeter 300 to reduce noise and improve dynamic range, as shown in FIG. 10B. Harmonics generated by higher order passes between the surfaces are effectively suppressed by the cumulative reflectivity losses and roll-off due to the finite instantaneous coherence length of the laser source (10 mm). The output of the wavemeter 300 is electrically pre-filtered and amplified into a robust external clock for the high speed digitizer/analog-to-digital (“A/D”) converter.


As shown in FIG. 10C, the calibration gas cell 310 receives 50% of the light source from the coupler 302, where 50% of the light is split by a 50/50 coupler 320 to a balanced photodetector/amplifier 322. In one embodiment, the calibration gas cell 310 includes a hydrogen fluoride (“HF”) gas cell 324 (Wavelength References, Mulino, Oreg.) with a 10 mm pathlength and a calibrated absorption fingerprint in the 1250-1350 nm spectral range for the balanced detection scheme. Alternatively, other gas cells can be used as the calibration gas cell 310, with well-known wavelength absorption bands and the pathlength selected according to the swept laser source. The well-known absorption fingerprint bands in the HF gas cell 324 result in a reduced detected intensity in the light transmitted through the gas cell 324, and as such provide a metric on the absolute lasing wavelength at those digitized sampling times. The sample number or sampling time scale can thus be converted to absolute wavelength at one or more samples, depending on the number of absorption lines. The detected wavemeter photocurrent signal 328 and the detected gas cell photocurrent signal 326 are combined in the digitizer to provide the relationship between the sample number or sampling time and lasing wavelength throughout the entire sweep. The detected photocurrent signal 326 from the gas cell is digitized concurrently with the OCT signal data and correlated with the known HF fingerprint to determine the wavenumber bias (ko) of the swept source laser. Knowledge of wavenumber bias (ko) allows accurate determination of the absolute wavenumber of each digitized sample throughout the spectral sweep, effectively removing any wavenumber offsets and/or phase instabilities in the laser source, wavemeter and sampling electronics.


The uniform-frequency sample clock signal which is based on the auxiliary wavemeter represents uniform intervals in wavenumber (k) biased by an unknown absolute wavenumber (ko). Unfortunately, since the wavenumber bias (ko) can vary between successive laser sweeps as a result of inherent instabilities in the tunable laser output spectrum, ko must be measured for each laser sweep for highly sensitive phase measurements. Gases with molecular absorption lines at NIST-calibrated wavenumbers provide unmatched stability and are used to calibrate optical spectra in a variety of high-precision spectroscopy applications.


Gas Cell Trigger


As shown in FIG. 11, in another embodiment of the uniform frequency sample clock generator 22 includes coupling the laser swept source 12 to a single channel detector 330 and the gas cell 310. The laser swept source 12 power from the optical trigger 60 channel is divided into the gas cell channel 332 and a window channel 334 with the use of a coupler (not shown). The photocurrent of light passing through the gas cell 310 provides a more repeatable and stable optical trigger. An intensity-threshold optical signal can suffer from variations in intensity of the laser while an absorption line in a gas cell does not vary and can provide a highly stable wavelength reference. The gas cell channel 332 and the window channel 334 propagate light simultaneously. The gas cell channel 332 may include >90% of the total trigger channel optical power. A coupler 340 is used to split the light into a reference channel 342 and a gas channel 344. In the gas channel 344, light passes through the gas cell 310 and a gas cell pulse 356 is outputted to one of the inputs of the balanced detector 346, while the reference light is directly outputted to the second input of the detector 346. The output voltage of the detector 346, which consists of pulses corresponding to the gas cell 310 absorption lines, is used as the input of a differentiator 350. The differentiator 350 is an electronic device where the output is the derivative of the input. For example, the differentiator may be a high pass filter. By differentiating the balanced detector 346 output, the maximums of the absorption lines are replaced with a zero crossing voltage. To produce the Transistor-Transistor Logic (TTL) pulses with rising edges corresponding to the central wavelength of the absorption gas cell 310 lines, a delay generator 352 (DG1) is coupled to the output of the differentiator 350. The level of voltage that used for generating the pulses should be several fold (by absolute value) above the RMS noise level to exceed the noise floor level and avoid generating pulses from noise. The time duration of the pulses should be at least several times less than distance between neighbor gas cell pulses. The time duration of the window pulse should be at least several times less than time between neighboring gas cell absorption line pulses to prevent false triggering (during one A-scan window pulse should be always overlapped with the only selected gas cell pulse).


The window channel 334 may include about 10% of the total power of the trigger channel. The light in the window channel 334 is detected with the single channel detector 330, so the shape of the detected voltage is repeating the shape of the laser sweep. The output of the single channel detector 330 is coupled to a delay generator 348 (DG2), which is used to produce a window pulse 354. The window pulse 354 is used to select one of the gas cell pulses 356 among others. The position during the sweep where the window pulse 354 starts is adjusted with the voltage level. The start position and width of the window pulse 354 are chosen so the window pulse 354 should totally cover one of the gas cell pulses 356. Since the gas cell pulse 356 is fixed in the wavenumber domain the window pulse 354 is uttering in the wavenumber domain from sweep to sweep. Therefore, width of the window pulse 354 should be several times wider than the selected gas cell pulse 356 width, so that the window pulse 354 covers the gas cell pulse 356 for every sweep. The window pulse 354 does not cover any of the neighboring gas cell pulses 356.


The outputs from DG1 352 and DG2 348 are used as input of a logical element AND gate 360 or NAND gate 362. The main condition for the logical element is its output when both inputs are high (logical 1) should be different from any other possible input logical states. The output of the logical element is the single TTL pulse with regulated width which is fixed at a specific wavelength and can be directly used as a gas cell trigger 364 for acquisition of the OCT signal data.


The gas cell trigger 364 is tightly connected with a reference wavelength, where the source of the reference wavelength is the gas cell 310. The gas cell 310 is a hermetic capsule containing a known gas, as describe previously. The central wavelength of absorption lines of the gas depend on molecular energy levels and practically do not depend on the external conditions such as temperature. If the swept laser source is centered at 1310 nm, then the gas cell 310 should have appropriate corresponding centered absorption lines. The need for the trigger 364 fixed at selected wavelength is a particular interest for phase sensitive OCT, where phase is determined as







φ
=


kn





Δ





z

=


2

π





n





Δ





z

λ



,





where n is the refractive index, Δz is the in pathlength difference between the sample and reference arms of OCT interferometer, λ is the wavelength of light. Therefore, to have ΔΦ=0.1 at Δz=0.2 mm, the uncertainty of wavelength should be <10 pm. The sweep to sweep wavelength dependence of the swept source is several orders greater. Using the Pathway 6, the uncertainty is <2 pm for a 20 kHz scan rate of the swept source (with increasing swept source scan repetition rate the uncertainty of the trigger position increases linearly). Phase sensitive OCT provides additional contrast that may be color coded onto OCT intensity images.


The gas cell trigger may be used for any OCT imaging system. The need for a trigger depends on the stability (instability) of the laser source. If the source is highly spectrally stable in time (i.e. the drive signal of the tuning element) then need for a gas cell trigger is less. Generally, the gas cell can provide a highly stable trigger. After the gas cell trigger 354 has been produced, the trigger 354 may be split into two signals. One signal is used to trigger the A/D digitizer card (Alazar) to start acquiring A-scans, and the other signal is directed to trigger the external clock circuitry 370, as shown in FIG. 12 The external clock circuitry 370 comprises a delay generator and a k-space/dummy clock switching circuit D. The delay generator comes first and uses an edge detect to sense when the differentiation circuit (trigger from the gas cell circuitry, 354) has gone high. After the edge has been detected, the delay generator outputs a 5V signal 372, where the time duration may be fixed using a resistor-capacitor combination. Time duration of the 5V pulse from the delay generator is selected to ensure sufficiently high signal to noise ratio of the K-space clock. In one embodiment, the delay generator can be programmed to provide a pulse duration from (20-50) μs. The 5V signal pulse 372 goes into the clock circuitry 370.


The clock circuitry 370 is composed of a buffer amplifier, a high pass filter, a switching network that can switch between a k-space 374 and a dummy clock 376, another high pass filter, and a comparator that converts the sine wave of the k-space 374 to a TTL signal 378. The resulting clock has a constant step in wavenumber space (k) during the (20-50) is of the pulse duration from the delay generator 380 and constant duration in other time periods. The OCT data signal is acquired uniformly in wavenumber space 374 provided by the external clock circuitry 370.


As shown in FIG. 12, the original pulse from the gas cell circuitry 354 is used to produce the (20-50) μs pulse from delay generator 380 to be used to generate switching between k-space 374 and dummy clocks 378. The TTL pulse train 378 is produced from a sinusoidal signal and used as a final clock at the external clock input of the digitizer (ADC board).


Common Path OCT Interferometer


In one embodiment, the OCT interferometer 40 is a common path interferometer 400, as shown in FIG. 13. The common path interferometer 400 comprises a Phase-Sensitive Fourier Domain OCT system 400 (“PS-FD-OCT”) system wherein reference and sample light propagate in a common optical path 410. The common optical path 410 can propagate in an optical fiber, free space or some other material. Any environmentally induced perturbations in the common path experience common-mode rejection and phase-stable OCT signal data results. Some portion of the common optical path needs to be different, that is some portion of the sample path is distinct from the reference path. So while the reference and sample share some portion of the path, some portion of the sample path is distinct from the reference path.


As shown in FIG. 13, the optical layout of the common-path OCT interferometer employs a coupler 412 splitting light to a 3-port polarization-insensitive optical circulator 414 and a 3-port polarization-insensitive optical circulator 416. The circulator 414 includes a source light input on port 1, common reference and sample paths on port 2, and the output to a balanced photoreceiver 420 on port 3. Light is split (30%) to the circulator 416 from the input channel to a variable reflector 422 to reduce noise and improve detector dynamic range for the balancing channel 426 of the photoreceiver 420. The variable reflector 422 in the balancing channel insures equal power levels and spectral shape on the balanced detector's 420 two photodiodes. The distal end of the common-path fiber is terminated with a focusing gradient-index 424 (GRIN) lens. The GRIN lens 424 is optimized for <−65 dB return loss to minimize interference from spurious back-reflections, and may include a working distance of 5 mm and focused spot size of 20 um. A wedged 50% beam-splitter is aligned in the beam to provide a reference reflection. The sample may be positioned on two motorized linear translation stages and actuated in a raster pattern to create three-dimensional OCT volume scans. Alternatively, the sample path can be coupled to a scanning system with a flat and calibrated optical field. Such scanning systems are known in the art of optical design and can include for example a galvanometer, a scanning lens and field flattener lens. Alternatively, the sample path can be coupled to a probe or catheter via a fiber optic rotary junction. Examples of a catheter for in vivo imaging in the sample path include, U.S. Provisional Application No. 60/949,511, filed Jul. 12, 2007, a turbine-type catheter as described in Patent Cooperation Treaty application PCT/US04/12773 filed Apr. 23, 2004; or a rotating optical catheter tip as described in U.S. patent application Ser. No. 11/551,684; or a rotating catheter probe as described in U.S. patent application Ser. No. 11/551,684; each herein incorporated by reference for the methods, apparatuses and systems taught therein. The catheter can be located within a subject to allow light reflection off of subject tissues or nanoparticles to obtain optical measurements, medical diagnosis, treatment, and the like.


As shown in FIG. 14, the common path OCT interferometer 400 is coupled to a FMDL tunable laser source 430, where the FMDL source 430 is coupled to the optical wavemeter 300 and the calibration gas cell 310. The OCT interferogram [S(k)] and calibration gas cell signature are digitized at 16-bit resolution on two channels of a high-speed PCI digitizer 432 board (AlazarTech ATS660, Toronto, Canada). The external clock derived from the wavemeter 300 output and allows acquisition of data directly in wavenumber (k) space. S(ko) is shifted to remove any bias as determined by the gas cell 310 absorption fingerprint and converted using the Fast Fourier Transform (FFT) into the pathlength (z) domain. The transformed OCT A-scan [S(z)] is a complex signal {|S(z)|, arg[S(z)]} representing the backscattered magnitude and phase at depth z in the sample. The digitizer 432 is coupled to a host PC 434 is a state-of-the-art workstation with a fast multi-core processor, RAID striped disk array, and large RAM space. The complex signal representing the A-scan may be used as input into an algorithm to solve the inverse problem to estimate the refractive index profile (n(z)) of the sample.



FIG. 15 compares axial point spread functions and OCT images generated with both uniform time sampling and the uniform frequency sample clocking approach 10 using the previously discussed Pathways. The graph shows the OCT point spread functions vs. depth for an internally clocked/remapped scheme 440 and the novel externally clocked scheme 442; the larger height and narrower width of the externally clocked functions results in greater signal-to-noise ratio (“SNR’), improved axial resolution, and suppressed artifacts, especially at larger depths (2.5 mm-3.5 mm). Additionally, the externally clocked scheme is less computationally and bandwidth intensive.


Multiple Uniform Frequency Clock Signals


For each acquisition channel, one clock signal may be active at a given time, which may be switched between different clock signals in any particular combination or order. Alternatively, more than one uniform frequency clock signal may be synchronously coupled to the ADC channel through a circuit that combines/alters the two clock signal to produce a synchronous signal that reveals something more than just one clock signal. As shown in FIG. 18, multiple clock signals from various pathways is inputted into a demultiplexer 600, where the demultiplexer has an input (possibly digital) that selects one of the input signals. The demulitiplexer would be applicable for the real time clock signal derived from the wavemeter and a backup clock signal is provided just in case the real-time circuitry fails or is intermittent in one way or another.


Phase Sensitive OCT System


As shown in FIG. 16, an alternative Phase-Sensitive OCT (PS-OCT) system 500 comprising a signal interferometer 510, a reference interferometer 520, a clocking interferometer 530, a spectrally fixed trigger 540. The swept source laser 502 is coupled to an 80/20 splitter 504. The splitter 504 is coupled to a splitter 506 (95% transmittance, 5% reflection) and a splitter 508.


Light (λ=1310 nm, Δλ=100 nm, 20 KHz scan rate) emitted from a swept laser source 502 (Santec, Hackensack, N.J.) is input into four optical subsystems: the signal-interferometer 510; the reference-interferometer 520; the clocking-interferometer 530; and the spectrally fixed trigger 540. The sample under test 512 is positioned in the signal interferometer 510. Interference fringes (Fs(v)) are formed between light reflected from a splitter 514 and the sample 512 and directed into Channel A 552 of an analog-to-digital (A/D) converter 550 (ADC). The interference fringes (τr(v)) in the reference interferometer 520 are formed analogously to (τs(v)) between light reflected from a splitter 524 and a high reflection mirror 522 and directed into Channel B 554 of the ADC 550. Interference fringes (τc1(v)) in the clocking interferometer 530 are formed between light going through a first arm 532 and a second aim 534 of the Mach-Zehnder clocking interferometer 530, and after analogous bandpassing 536 served as a real time external clock 538 source for the ADC 550. The frequency of the external clock 538 depends on the optical path difference between 532 and 534 and varied with a variable Delay Line (“DL”) 542. A sequence of the narrowband TTL like pulses are formed after light is outputted from a gas cell 544 (Wavelength Reference, Mulino, Oreg.) in the spectrally fixed trigger subsystem 540. The only pulse is selected using a time window produced out off a single channel detector (“SCD”) 546 and serves as the spectrally fixed trigger for the ADC 550 at the AND gate using TTL pulse produced from laser sweep intensity profile.


Accuracy and sensitivity of the phase sensitive OCT instrument can be measured using a set of standardized metal films commonly used for calibrating resolution of atomic force microscopes. Sensitivity of the phase sensitive Fourier-domain OCT instrument is measured by placing a reflecting surface on a piezoelectric stepper (PolyTech PI, Auburn, Mass.) with 0.5 nm resolution. After aligning light reflection from the piezoelectric stepper, one-hundred A-scans are recorded for each position and the stepper is incremented 10 nm. Proceeding in this manner, accuracy and sensitivity of the phase sensitive Fourier-domain OCT instrument can be calibrated. Optical scanning systems that incorporate field flatteners can provide optical fields that are flat to within a fraction of a wave (e.g., 1/10 wave) a calibration procedure may be employed to correct residual phase variations that occur when scanning across the field. Calibration procedures using precision reference optical flats as reflective surfaces may be employed to correct for phase variation over the field curvature due to the scanning optics.


The strain constant of the PVDF copolymer piezofilm is d33=−38*10−12 m/V (Images SI Inc, Staten Island, N.Y.). A 10 V amplitude sinusoidal voltage to the piezofilm is applied using an Agilent function generator, which corresponds to 20 V peak peak change of voltage. The result change in the thickness of the piezofilm equals d33*20V=0.76 nm. The voltage frequency was 500 Hz (FIG. 17A), 1000 Hz (FIG. 17B) and 2000 Hz (FIG. 17C).


The phase measurement versus time for the piezofilm induced by applied 10 V sinusoidal voltage with three different frequencies 500 Hz (17A), 1000 Hz (17B), 2000 Hz (17C). The measured phase (Y-scale on the right) is due to changing in thickness of the piezofilm. The thickness of the piezofilm (the Y-scale on the left) can be calculated from the phase measurements as T=Φ*λ/(4*π), where it-measured phase (rad), λ-central wavelength of the Swept Source laser (nm).


K-Space Clock Dispersion Correction


The difference in the dispersion between the reference path and the sample path is a common problem in OCT systems. The difference in dispersion between the reference and sample path can cause a degradation of the point spread function and reduce image quality. Mathematically, the point spread function S(x) is represented by Equation (1):

S(x)=∫F(k(t)eiΔφ(k(t))ejk(t)x(dk/dt)dt+c.c.,  (1)

where S(x) is point spread function of the swept source OCT system from one sharp boundary; F(k(t)) is the power spectrum of the swept source laser; Re(eiΔφ(k(T))))=D, is the dispersion mismatch component in the arms of OCT interferometer; dk/dt=C is the component due to non-uniform clocking in k-space; k is the wavenumber; t is time; and c.c. is the complex conjugate. Dispersion D can be altered, so D*C=1.


One method addressing the degradation of the point spread function is to account for the dispersion and apply a complex resampling algorithm to the raw data acquired from the Analog to Digital Converter (ADC). Another method comprises dispersion matching of the sample path to the k-space clock path with hardware dispersion matching. The k-space clock pathway is discussed previously. A hardware based approach comprises dispersion correcting the k-space clock to include the difference in dispersion between the sample and reference path. After the difference in dispersion has been measured, it is used to modify the k-space clock. If the OCT system is being clocked by an arbitrary waveform generator, a non-dispersion correct k-space clock signal is acquired by the ADC, the non-dispersion correct k-space clock signal is modified to take into account the difference in dispersion, and then this dispersion corrected k-space clock signal is used to clock the ADC to acquire the OCT data.


Alternatively, the method comprises modifying the k-space clock optics to account for the dispersion mismatch in the sample and reference path. The k-space clock optics includes some kind of interferometer that is relying on interference. The k-space clock corrective optical elements could include a glass window, fiber optic elements, a plurality of prisms, and/or a plurality of air gaps. By modifying the optics of the k-space clock then the effect of dispersion mismatch between reference and sample paths in the interferometer may be corrected. The dispersion corrected k-space clock optics enables the OCT system to be clocked with minimal dispersion in “real time”, since the k-space clock would not require non-causal resampling techniques. The real time dispersion corrected clock could also be coupled with the arbitrary waveform generator pathway, where the difference is the real time dispersion correct k-space clock does not require dispersion resampling before being used.


The dispersion characteristic D is usually smooth and cosine modulated (D=Cos [ΔΦ(k(t))]) versus k but C component can vary non-smoothly from digitized sample to digitized sample (neighbor k numbers).


The C component can vary from A-scan to A-scan. From the arbitrary waveform generator 50 (Gage CompuGen), the C component does not change from A-scan to A-scan. However, the dispersion component may still need correction from A-scan to A-scan in some embodiments of the arbitrary waveform generator.


Another approach addressing the degradation of the point spread function is the presence of an amplitude optical filter Φ(k(t)) in the reference arm of interferometer, which converts Equation (1) to:

S(x)=∫F(k(t)eiΔφ(k(t))ejk(t)x(dk/dt)Φ(k(t)dt+c.c.,  (2)


The amplitude optical filter Φ(k(t)) facilitates to correct the distortion of the resolution with depth due to non-uniform k-space clocking (D*C*Φ=1 may be easier to achieve than D*C=1). The depth resolution of the OCT system can be improved by effectively increasing the bandwidth of the power spectrum F(k(t)). Some power in the reference arm may be lost by damping central k-numbers and not modifying k-numbers at the edge of the spectrum.


All the Uniform Frequency Sample Clocking 10 Pathways, systems, and methods provide for external clocking of a swept laser source and can provide different Pathways, independently or in combination, to generate the clock, process the clock, and transmit the clock to the digitizer for uniform sampling of detected light in the wavenumber domain. Alternatively, all the Uniform Frequency Sample Clocking 10 Pathways may be combined with each other, in any particular combination or order. For example, an optical parameter of light can be measured by the clocking system and the optical parameter can be used in a model or look-up-table to predict the clocking wavenumber for a swept-source OCT system.


In one embodiment, the Uniform-Frequency Sample Clock Pathways for OCT systems image at least a portion of a sample. In one embodiment, the sample is a biological sample. The sample path of the OCT interferometers can be coupled to a probe or catheter via a fiber optic rotary junction to image a biological sample. The catheter can be located within a subject to allow light reflection off of subject tissues or nanoparticles to obtain optical measurements, medical diagnosis, treatment, and the like. In one embodiment, the Uniform-Frequency Sample Clock Pathways is coupled to OCT systems and catheters for imaging blood flow, such as in U.S. patent application Ser. No. 11/550,771, imaging a vessel or internal lumen of a patient, such as in U.S. patent application Ser. No. 11/446,683, and imaging nanoparticle labeled cells, such as in U.S. patent application Ser. No. 11/441,824, each herein incorporated by reference for the methods, apparatuses and systems taught therein.


Reconfiguration Between Imaging Modes


There are numerous different approaches for having a single OCT system that can switch between two different imaging modes. In one embodiment, the sweep rate and coherence length of the light source (e.g., swept source laser) is changed. That is accomplished by changing the drive waveform (and thus the sweep rate) to the optical filter responsible for instantaneous wavelength selection. For a laser, typically a slower sweep rate will inherently result in a narrower instantaneous line width and an increase in the laser's coherence length. Generally, a first imaging mode uses a high sweep rate with a relatively low coherence length (<10 mm). Such a configuration is acceptable for imaging a coronary vessel. A second imaging mode uses a lower sweep rate (<50 kHz) with a corresponding higher coherence length (>10 mm). Such a configuration is more appropriate for imaging a peripheral vessel.


The invention also contemplates reconfiguration of the sweep bandwidth over the total sweep range in order to accomplish OCT switching. Alternatively, sweeping over smaller bandwidth ranges is another way to change the sweep rate (i.e. nm/μm) and improve coherence length, but not affect the repetition rate (kHz). This could also be accomplished with changes to drive waveforms for filter and gain medium. Duty cycle would also be another parameter to reconfigure as imaging modes are switched.


Other methods include switching to a completely different filter that is designed with a different bandwidth characteristic. This switching can be performed using beam steering, MEMS, and a variety of optical switching/routing approaches. MEMS approaches involving arrays of micromirrors that can deflect an optical signal to the appropriate receiver (e.g., U.S. Pat. No. 6,396,976) may be used with methods of the invention. Piezoelelectric Beam Steering involving piezoelectric ceramics provides enhanced optical switching characteristics may be used with methods of the invention. Inkjet methods involving the intersection of two waveguides so that light is deflected from one to the other when an inkjet-like bubble is created (e.g., U.S. Pat. No. 6,212,308) may be used with methods of the invention. Liquid crystals (e.g., U.S. Pat. No. 4,948,229) that rotate polarized light either 0° or 90° depending on the applied electric field to support switching may be used with methods of the invention. Thermal methods (e.g., U.S. Pat. No. 5,037,169) that vary the index of refraction in one leg of an interferometer to switch the signal on or off may be used. Nonlinear methods (e.g., U.S. Pat. No. 5,319,492) that vary the diffraction pattern in a medium by taking advantage of the material nonlinear properties to deflect light to the desired receiver may be used. Acousto-optic methods that change the refractive index as a result of strain induced by an acoustic field to deflect light (e.g., U.S. Pat. No. 6,922,498) may be used. Amplifiers and attenuators in output fibers that adjust the signal to the digital “0” power range (when the fiber is not switched to) or to the normal power range when it is (e.g., U.S. Pat. No. 7,027,211). Optical switches are further described for example in Okuno et al. (NTT Technical Review, 1(7):20-30, 2003), the content of which is incorporated by reference herein in its entirety.


In another embodiment, sampling characteristics of the OCT signal digitization are changed. OCT signal digitization is discussed above. For direct “externally” clocked digitizers, changing the sampling characteristics of the OCT signal digitization can be accomplished by changing an external K-space sample clock waveform using either optical means (e.g. switching a different wavemeter interferometer into a K-clock generator using an optical switch) or by electronic means (e.g. enabling or disabling clock multiplication circuitry). Alternatively, or “internally” (time-uniform) clocked digitizers, the sampling rate can be reconfigured directly by selection of the sampling time-base.


In other embodiments, the system is configured to work with two or more different catheters, one for each imaging mode, i.e., the different catheter types can both be used on the same reconfigurable OCT system hardware. For example, it is expected that a different catheter could be used for coronary versus peripheral imaging. In this embodiment, the OCT system includes a connector equipped with an RFID reader than can operably couple to an RFID component on a catheter. The reader on the system obtains information from the catheter and determines whether a coronary imaging catheter or a peripheral imaging catheter is connected to the system and switches to the appropriate layout. RFID sensors and their use are described for example in Broughton et al. (U.S. patent application number 2003/0050871), Kalantar (U.S. Pat. No. 6,954,737), and Kates (U.S. patent application number 2006/0267756).


In another embodiment, the system includes two image acquisition modules. Reconfiguration in this embodiment is accomplished by changing the software that processes and handles the image acquisition. That can be accomplished by running a different software program in each of the operational modes, or by changing parameters of the software to handle image streams with different imaging rates and field of views. It can also be accomplished by re-programming an embedded processor responsible for image processing.


In another embodiment, changing the software which provides a Graphical User Interface is used to switch between the two imaging modes. It is expected that different user features may be needed for coronary imaging versus peripheral imaging.


INCORPORATION BY REFERENCE

References and citations to other documents, such as patents, patent applications, patent publications, journals, books, papers, web contents, have been made throughout this disclosure. All such documents are hereby incorporated herein by reference in their entirety for all purposes.


EQUIVALENTS

The invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The foregoing embodiments are therefore to be considered in all respects illustrative rather than limiting on the invention described herein. Scope of the invention is thus indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims
  • 1. A reconfigurable optical coherence tomography (OCT) system configured to reconfigure between at least a first imaging mode optimized for coronary imaging and a second imaging mode optimized for peripheral imaging, the system comprising: a reconfigurable swept-source laser configured to be adjusted between a first setting corresponding to the first imaging mode and a second setting corresponding to the second imaging mode, wherein the reconfigurable swept-source laser comprises: a first filter comprising a first bandwidth characteristic corresponding to the first imaging mode;a second filter comprising a second bandwidth characteristic corresponding to the second imaging mode; andan optical switch configured to switch an optical signal between the first filter and the second filter;wherein, in the first setting, the swept-source laser has a first sweep rate with a first coherence length and the first imaging mode is for imaging a coronary vessel; andwherein, in the second setting, the swept-source laser has a second sweep rate with a second coherence length, the second sweep rate being less than the first sweep rate and the second coherence length being greater than the first coherence length, and the second imaging mode is for imaging a peripheral vessel;wherein sampling characteristics of OCT signal digitization are changed between the first and second imaging modes by changing an external K-space sample clock waveform by switching a different wavemeter interferometer into a K-clock generator for each of the imaging modes.
  • 2. The system according to claim 1, wherein the OCT system comprises two different software image acquisition modules, one for each imaging mode.
  • 3. The system according to claim 1, wherein the system is compatible with two different catheters, one for each imaging mode.
  • 4. The system according to claim 1, further comprising an apparatus selected from the group consisting of: a spectroscopic apparatus, an intravascular ultrasound (IVUS) apparatus, a Forward-Looking IVUS (FLIVUS) apparatus, a high intensity focused ultrasound (HIFU) apparatus, a radiofrequency apparatus, a thermal imaging or thermography apparatus, an optical light-based imaging apparatus, a magnetic resonance imaging (MRI) apparatus, a radiography apparatus, a nuclear imaging apparatus, a photoacoustic imaging apparatus, an electrical impedance tomography apparatus, an elastography apparatus, an intracardiac echocardiography (ICE) apparatus, a forward looking ICE apparatus, an orthopedic apparatus, a spinal imaging apparatus, and a neurological imaging apparatus.
  • 5. The system according to claim 1, wherein the optical switch comprises a piezoelectric beam steering optical switch.
  • 6. The system according to claim 1, wherein the optical switch comprises a MEMS-type optical switch.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of, and priority to, U.S. Provisional Application Ser. No. 61/740,104, filed Dec. 20, 2012, the contents of which are incorporated by reference herein in its entirety.

US Referenced Citations (1004)
Number Name Date Kind
3301258 Werner Jan 1967 A
3617880 Cormack et al. Nov 1971 A
3789841 Antoshkiw Feb 1974 A
3841308 Tate Oct 1974 A
4140364 Yamashita et al. Feb 1979 A
4274423 Mizuno et al. Jun 1981 A
4344438 Schultz Aug 1982 A
4398791 Dorsey Aug 1983 A
4432370 Hughes et al. Feb 1984 A
4552554 Gould et al. Nov 1985 A
4577543 Wilson Mar 1986 A
4676980 Segal et al. Jun 1987 A
4682895 Costello Jul 1987 A
4733665 Palmaz Mar 1988 A
4744619 Cameron May 1988 A
4762129 Bonzel Aug 1988 A
4766386 Oliver et al. Aug 1988 A
4771774 Simpson et al. Sep 1988 A
4794931 Yock Jan 1989 A
4800886 Nestor Jan 1989 A
4803639 Steele et al. Feb 1989 A
4816567 Cabilly et al. Mar 1989 A
4819740 Warrington Apr 1989 A
4821731 Martinelli et al. Apr 1989 A
4824435 Giesy et al. Apr 1989 A
4830023 de Toledo et al. May 1989 A
4834093 Littleford et al. May 1989 A
4841977 Griffith et al. Jun 1989 A
4864578 Proffitt et al. Sep 1989 A
4873690 Adams Oct 1989 A
4877314 Kanamori Oct 1989 A
4887606 Yock et al. Dec 1989 A
4917085 Smith Apr 1990 A
4917097 Proudian et al. Apr 1990 A
4928693 Goodin et al. May 1990 A
4932413 Shockey et al. Jun 1990 A
4932419 de Toledo Jun 1990 A
4948229 Soref Aug 1990 A
4951677 Crowley et al. Aug 1990 A
4969742 Falk et al. Nov 1990 A
4987412 Vaitekunas et al. Jan 1991 A
4993412 Murphy-Chutorian Feb 1991 A
4998972 Chin et al. Mar 1991 A
5000185 Yock Mar 1991 A
5024234 Leary et al. Jun 1991 A
5025445 Anderson et al. Jun 1991 A
5032123 Katz et al. Jul 1991 A
5037169 Chun Aug 1991 A
5039193 Snow et al. Aug 1991 A
5040548 Yock Aug 1991 A
5041108 Fox et al. Aug 1991 A
5054492 Scribner et al. Oct 1991 A
5065010 Knute Nov 1991 A
5065769 de Toledo Nov 1991 A
5085221 Ingebrigtsen et al. Feb 1992 A
5095911 Pomeranz Mar 1992 A
5100424 Jang et al. Mar 1992 A
5120308 Hess Jun 1992 A
5125137 Corl et al. Jun 1992 A
5135486 Eberle et al. Aug 1992 A
5135516 Sahatjian et al. Aug 1992 A
5155439 Holmbo et al. Oct 1992 A
5158548 Lau et al. Oct 1992 A
5163445 Christian et al. Nov 1992 A
5167233 Eberle et al. Dec 1992 A
5174295 Christian et al. Dec 1992 A
5176141 Bom et al. Jan 1993 A
5176674 Hofmann Jan 1993 A
5178159 Christian Jan 1993 A
5183048 Eberle Feb 1993 A
5188632 Goldenberg Feb 1993 A
5201316 Pomeranz et al. Apr 1993 A
5202745 Sorin et al. Apr 1993 A
5203779 Muller et al. Apr 1993 A
5220922 Barany Jun 1993 A
5224953 Morgentaler Jul 1993 A
5226421 Frisbie et al. Jul 1993 A
5240003 Lancee et al. Aug 1993 A
5240437 Christian Aug 1993 A
5242460 Klein et al. Sep 1993 A
5243988 Sieben et al. Sep 1993 A
5257974 Cox Nov 1993 A
5266302 Peyman et al. Nov 1993 A
5267954 Nita Dec 1993 A
5301001 Murphy et al. Apr 1994 A
5312425 Evans et al. May 1994 A
5313949 Yock May 1994 A
5313957 Little May 1994 A
5319492 Dorn et al. Jun 1994 A
5321501 Swanson et al. Jun 1994 A
5325198 Hartley et al. Jun 1994 A
5336178 Kaplan et al. Aug 1994 A
5346689 Peyman et al. Sep 1994 A
5348017 Thornton et al. Sep 1994 A
5348481 Ortiz Sep 1994 A
5353798 Sieben Oct 1994 A
5358409 Obara Oct 1994 A
5358478 Thompson et al. Oct 1994 A
5368037 Eberle et al. Nov 1994 A
5373845 Gardineer et al. Dec 1994 A
5373849 Maroney et al. Dec 1994 A
5375602 Lancee et al. Dec 1994 A
5377682 Ueno et al. Jan 1995 A
5383853 Jung et al. Jan 1995 A
5387193 Miraki Feb 1995 A
5396328 Jestel et al. Mar 1995 A
5397355 Marin et al. Mar 1995 A
5405377 Cragg Apr 1995 A
5411016 Kume et al. May 1995 A
5419777 Hofling May 1995 A
5421338 Crowley et al. Jun 1995 A
5423806 Dale et al. Jun 1995 A
5427118 Nita et al. Jun 1995 A
5431673 Summers et al. Jul 1995 A
5436759 Dijaili et al. Jul 1995 A
5439139 Brovelli Aug 1995 A
5443457 Ginn et al. Aug 1995 A
5453575 O'Donnell et al. Sep 1995 A
5456693 Conston et al. Oct 1995 A
5459570 Swanson et al. Oct 1995 A
5480388 Zadini et al. Jan 1996 A
5485845 Verdonk et al. Jan 1996 A
5492125 Kim et al. Feb 1996 A
5496997 Pope Mar 1996 A
5507761 Duer Apr 1996 A
5512044 Duer Apr 1996 A
5514128 Hillsman et al. May 1996 A
5529674 Hedgcoth Jun 1996 A
5541730 Chaney Jul 1996 A
5546717 Penczak et al. Aug 1996 A
5546948 Hamm et al. Aug 1996 A
5565332 Hoogenboom et al. Oct 1996 A
5573520 Schwartz et al. Nov 1996 A
5581638 Givens et al. Dec 1996 A
5586054 Jensen et al. Dec 1996 A
5592939 Martinelli Jan 1997 A
5596079 Smith et al. Jan 1997 A
5598844 Diaz et al. Feb 1997 A
5609606 O'Boyle Mar 1997 A
5630806 Inagaki et al. May 1997 A
5651366 Liang et al. Jul 1997 A
5660180 Malinowski et al. Aug 1997 A
5667499 Welch et al. Sep 1997 A
5667521 Keown Sep 1997 A
5672877 Liebig et al. Sep 1997 A
5674232 Halliburton Oct 1997 A
5693015 Walker et al. Dec 1997 A
5713848 Dubrul et al. Feb 1998 A
5745634 Garrett et al. Apr 1998 A
5771895 Slager Jun 1998 A
5779731 Leavitt Jul 1998 A
5780958 Strugach et al. Jul 1998 A
5798521 Froggatt Aug 1998 A
5800450 Lary et al. Sep 1998 A
5803083 Buck et al. Sep 1998 A
5814061 Osborne et al. Sep 1998 A
5817025 Alekseev et al. Oct 1998 A
5820594 Fontirroche et al. Oct 1998 A
5824520 Mulligan-Kehoe Oct 1998 A
5827313 Ream Oct 1998 A
5830222 Makower Nov 1998 A
5848121 Gupta et al. Dec 1998 A
5851464 Davila et al. Dec 1998 A
5857974 Eberle et al. Jan 1999 A
5872829 Wischmann et al. Feb 1999 A
5873835 Hastings et al. Feb 1999 A
5882722 Kydd Mar 1999 A
5912764 Togino Jun 1999 A
5916194 Jacobsen et al. Jun 1999 A
5921931 O'Donnell et al. Jul 1999 A
5925055 Adrian et al. Jul 1999 A
5943352 Fee Aug 1999 A
5949929 Hamm Sep 1999 A
5951586 Berg et al. Sep 1999 A
5974521 Akerib Oct 1999 A
5976120 Chow et al. Nov 1999 A
5978391 Das et al. Nov 1999 A
5997523 Jang Dec 1999 A
6021240 Murphy et al. Feb 2000 A
6022319 Willard et al. Feb 2000 A
6031071 Mandeville et al. Feb 2000 A
6036889 Kydd Mar 2000 A
6043883 Leckel et al. Mar 2000 A
6050949 White et al. Apr 2000 A
6059738 Stoltze et al. May 2000 A
6068638 Makower May 2000 A
6074362 Jang et al. Jun 2000 A
6078831 Belef et al. Jun 2000 A
6080109 Baker et al. Jun 2000 A
6091496 Hill Jul 2000 A
6094591 Foltz et al. Jul 2000 A
6095976 Nachtomy et al. Aug 2000 A
6097755 Guenther, Jr. et al. Aug 2000 A
6099471 Torp et al. Aug 2000 A
6099549 Bosma et al. Aug 2000 A
6102938 Evans et al. Aug 2000 A
6106476 Corl et al. Aug 2000 A
6120445 Grunwald Sep 2000 A
6123673 Eberle et al. Sep 2000 A
6134003 Tearney et al. Oct 2000 A
6139510 Palermo Oct 2000 A
6141089 Thoma et al. Oct 2000 A
6146328 Chiao et al. Nov 2000 A
6148095 Prause et al. Nov 2000 A
6151433 Dower et al. Nov 2000 A
6152877 Masters Nov 2000 A
6152878 Nachtomy et al. Nov 2000 A
6159225 Makower Dec 2000 A
6165127 Crowley Dec 2000 A
6176842 Tachibana et al. Jan 2001 B1
6179809 Khairkhahan et al. Jan 2001 B1
6186949 Hatfield et al. Feb 2001 B1
6190353 Makower et al. Feb 2001 B1
6200266 Shokrollahi et al. Mar 2001 B1
6200268 Vince et al. Mar 2001 B1
6203537 Adrian Mar 2001 B1
6208415 De Boer et al. Mar 2001 B1
6210332 Chiao et al. Apr 2001 B1
6210339 Kiepen et al. Apr 2001 B1
6212308 Donald Apr 2001 B1
6231518 Grabek et al. May 2001 B1
6245066 Morgan et al. Jun 2001 B1
6249076 Madden et al. Jun 2001 B1
6254543 Grunwald et al. Jul 2001 B1
6256090 Chen et al. Jul 2001 B1
6258052 Milo Jul 2001 B1
6261246 Pantages et al. Jul 2001 B1
6275628 Jones et al. Aug 2001 B1
6283921 Nix et al. Sep 2001 B1
6283951 Flaherty et al. Sep 2001 B1
6295308 Zah Sep 2001 B1
6299622 Snow et al. Oct 2001 B1
6312384 Chiao Nov 2001 B1
6325797 Stewart et al. Dec 2001 B1
6328696 Fraser Dec 2001 B1
6343168 Murphy et al. Jan 2002 B1
6343178 Burns et al. Jan 2002 B1
6350240 Song et al. Feb 2002 B1
6364841 White et al. Apr 2002 B1
6366722 Murphy et al. Apr 2002 B1
6367984 Stephenson et al. Apr 2002 B1
6373970 Dong et al. Apr 2002 B1
6375615 Flaherty et al. Apr 2002 B1
6375618 Chiao et al. Apr 2002 B1
6375628 Zadno-Azizi et al. Apr 2002 B1
6376830 Froggatt et al. Apr 2002 B1
6379352 Reynolds et al. Apr 2002 B1
6381350 Klingensmith et al. Apr 2002 B1
6387124 Buscemi et al. May 2002 B1
6396976 Little et al. May 2002 B1
6398792 O'Connor Jun 2002 B1
6417948 Chowdhury et al. Jul 2002 B1
6419644 White et al. Jul 2002 B1
6421164 Tearney et al. Jul 2002 B2
6423012 Kato et al. Jul 2002 B1
6426796 Pulliam et al. Jul 2002 B1
6428041 Wohllebe et al. Aug 2002 B1
6428498 Uflacker Aug 2002 B2
6429421 Meller et al. Aug 2002 B1
6440077 Jung et al. Aug 2002 B1
6443903 White et al. Sep 2002 B1
6450964 Webler Sep 2002 B1
6457365 Stephens et al. Oct 2002 B1
6459844 Pan Oct 2002 B1
6468290 Weldon et al. Oct 2002 B1
6475149 Sumanaweera Nov 2002 B1
6480285 Hill Nov 2002 B1
6491631 Chiao et al. Dec 2002 B2
6491636 Chenal et al. Dec 2002 B2
6501551 Tearney et al. Dec 2002 B1
6504286 Porat et al. Jan 2003 B1
6508824 Flaherty et al. Jan 2003 B1
6514237 Maseda Feb 2003 B1
6520269 Geiger et al. Feb 2003 B2
6520677 Iizuka Feb 2003 B2
6535764 Imran et al. Mar 2003 B2
6538778 Leckel et al. Mar 2003 B1
6544217 Gulachenski Apr 2003 B1
6544230 Flaherty et al. Apr 2003 B1
6545760 Froggatt et al. Apr 2003 B1
6546272 MacKinnon et al. Apr 2003 B1
6551250 Khalil Apr 2003 B2
6566648 Froggatt May 2003 B1
6570894 Anderson May 2003 B2
6572555 White et al. Jun 2003 B2
6579311 Makower Jun 2003 B1
6584335 Haar et al. Jun 2003 B1
6592612 Samson et al. Jul 2003 B1
6594448 Herman et al. Jul 2003 B2
6602241 Makower et al. Aug 2003 B2
6611322 Nakayama et al. Aug 2003 B1
6611720 Hata et al. Aug 2003 B2
6612992 Hossack et al. Sep 2003 B1
6615062 Ryan et al. Sep 2003 B2
6615072 Izatt et al. Sep 2003 B1
6621562 Durston Sep 2003 B2
6631284 Nutt et al. Oct 2003 B2
6638227 Bae Oct 2003 B2
6645152 Jung et al. Nov 2003 B1
6646745 Verma et al. Nov 2003 B2
6655386 Makower et al. Dec 2003 B1
6659957 Vardi et al. Dec 2003 B1
6660024 Flaherty et al. Dec 2003 B1
6663565 Kawagishi et al. Dec 2003 B2
6665456 Dave et al. Dec 2003 B2
6669716 Gilson et al. Dec 2003 B1
6671055 Wavering et al. Dec 2003 B1
6673015 Glover et al. Jan 2004 B1
6673064 Rentrop Jan 2004 B1
6685648 Flaherty et al. Feb 2004 B2
6689056 Kilcoyne et al. Feb 2004 B1
6689144 Gerberding Feb 2004 B2
6696173 Naundorf et al. Feb 2004 B1
6701044 Arbore et al. Mar 2004 B2
6701176 Halperin et al. Mar 2004 B1
6709444 Makower Mar 2004 B1
6712836 Berg et al. Mar 2004 B1
6714703 Lee et al. Mar 2004 B2
6719717 Johnson et al. Apr 2004 B1
6725073 Motamedi et al. Apr 2004 B1
6726677 Flaherty et al. Apr 2004 B1
6730107 Kelley et al. May 2004 B2
6733474 Kusleika May 2004 B2
6738144 Dogariu May 2004 B1
6740113 Vrba May 2004 B2
6746464 Makower Jun 2004 B1
6780157 Stephens et al. Aug 2004 B2
6795188 Ruck et al. Sep 2004 B2
6795196 Funakawa Sep 2004 B2
6798522 Stolte et al. Sep 2004 B2
6822798 Wu et al. Nov 2004 B2
6830559 Schock Dec 2004 B2
6832024 Gerstenberger et al. Dec 2004 B2
6842639 Winston et al. Jan 2005 B1
6847449 Bashkansky et al. Jan 2005 B2
6855115 Fonseca et al. Feb 2005 B2
6856138 Bohley Feb 2005 B2
6856400 Froggatt Feb 2005 B1
6856472 Herman et al. Feb 2005 B2
6860867 Seward et al. Mar 2005 B2
6866670 Rabiner et al. Mar 2005 B2
6878113 Miwa et al. Apr 2005 B2
6886411 Kjellman et al. May 2005 B2
6891984 Petersen et al. May 2005 B2
6895106 Wang et al. May 2005 B2
6898337 Averett et al. May 2005 B2
6900897 Froggatt May 2005 B2
6912051 Jensen Jun 2005 B2
6916329 Zhao Jul 2005 B1
6922498 Shah Jul 2005 B2
6937346 Nebendahl et al. Aug 2005 B2
6937696 Mostafavi Aug 2005 B1
6943939 DiJaili et al. Sep 2005 B1
6947147 Motamedi et al. Sep 2005 B2
6947787 Webler Sep 2005 B2
6949094 Yaron Sep 2005 B2
6952603 Gerber et al. Oct 2005 B2
6954737 Kalantar et al. Oct 2005 B2
6958042 Honda Oct 2005 B2
6961123 Wang et al. Nov 2005 B1
6966891 Ookubo et al. Nov 2005 B2
6969293 Thai Nov 2005 B2
6969395 Eskuri Nov 2005 B2
6985234 Anderson Jan 2006 B2
7004963 Wang et al. Feb 2006 B2
7006231 Ostrovsky et al. Feb 2006 B2
7010458 Wilt Mar 2006 B2
7024025 Sathyanarayana Apr 2006 B2
7027211 Ruffa Apr 2006 B1
7027743 Tucker et al. Apr 2006 B1
7033347 Appling Apr 2006 B2
7035484 Silberberg et al. Apr 2006 B2
7037269 Nix et al. May 2006 B2
7042573 Froggatt May 2006 B2
7044915 White et al. May 2006 B2
7044964 Jang et al. May 2006 B2
7048711 Rosenman et al. May 2006 B2
7049306 Konradi et al. May 2006 B2
7058239 Singh et al. Jun 2006 B2
7060033 White et al. Jun 2006 B2
7060421 Naundorf et al. Jun 2006 B2
7063679 Maguire et al. Jun 2006 B2
7068852 Braica Jun 2006 B2
7074188 Nair et al. Jul 2006 B2
7095493 Harres Aug 2006 B2
7110119 Maestle Sep 2006 B2
7113875 Terashima et al. Sep 2006 B2
7123777 Rondinelli et al. Oct 2006 B2
7130054 Ostrovsky et al. Oct 2006 B2
7139440 Rondinelli et al. Nov 2006 B2
7153299 Tu et al. Dec 2006 B1
7171078 Sasaki et al. Jan 2007 B2
7175597 Vince et al. Feb 2007 B2
7177491 Dave et al. Feb 2007 B2
7190464 Alphonse Mar 2007 B2
7215802 Klingensmith et al. May 2007 B2
7218811 Shigenaga et al. May 2007 B2
7236812 Ballerstadt et al. Jun 2007 B1
7245125 Harer et al. Jul 2007 B2
7245789 Bates et al. Jul 2007 B2
7249357 Landman et al. Jul 2007 B2
7291146 Steinke et al. Nov 2007 B2
7292715 Furnish Nov 2007 B2
7292885 Scott et al. Nov 2007 B2
7294124 Eidenschink Nov 2007 B2
7300460 Levine et al. Nov 2007 B2
7335161 Von Arx et al. Feb 2008 B2
7337079 Park et al. Feb 2008 B2
7355716 de Boer et al. Apr 2008 B2
7356367 Liang et al. Apr 2008 B2
7358921 Snyder et al. Apr 2008 B2
7359062 Chen et al. Apr 2008 B2
7359554 Klingensmith et al. Apr 2008 B2
7363927 Ravikumar Apr 2008 B2
7366376 Shishkov et al. Apr 2008 B2
7382949 Bouma et al. Jun 2008 B2
7387636 Cohn et al. Jun 2008 B2
7391520 Zhou et al. Jun 2008 B2
7397935 Kimmel et al. Jul 2008 B2
7399095 Rondinelli Jul 2008 B2
7408648 Kleen et al. Aug 2008 B2
7414779 Huber et al. Aug 2008 B2
7440087 Froggatt et al. Oct 2008 B2
7447388 Bates et al. Nov 2008 B2
7449821 Dausch Nov 2008 B2
7450165 Ahiska Nov 2008 B2
RE40608 Glover et al. Dec 2008 E
7458967 Appling et al. Dec 2008 B2
7463362 Lasker et al. Dec 2008 B2
7463759 Klingensmith et al. Dec 2008 B2
7491226 Palmaz et al. Feb 2009 B2
7515276 Froggatt et al. Apr 2009 B2
7527594 Vardi et al. May 2009 B2
7534251 WasDyke May 2009 B2
7535797 Peng et al. May 2009 B2
7547304 Johnson Jun 2009 B2
7564949 Sattler et al. Jul 2009 B2
7577471 Camus et al. Aug 2009 B2
7583857 Xu et al. Sep 2009 B2
7603165 Townsend et al. Oct 2009 B2
7612773 Magnin et al. Nov 2009 B2
7633627 Choma et al. Dec 2009 B2
7645229 Armstrong Jan 2010 B2
7658715 Park et al. Feb 2010 B2
7660452 Zwirn et al. Feb 2010 B2
7660492 Bates et al. Feb 2010 B2
7666204 Thornton et al. Feb 2010 B2
7672790 McGraw et al. Mar 2010 B2
7680247 Atzinger et al. Mar 2010 B2
7684991 Stohr et al. Mar 2010 B2
7711413 Feldman et al. May 2010 B2
7720322 Prisco May 2010 B2
7728986 Lasker et al. Jun 2010 B2
7734009 Brunner et al. Jun 2010 B2
7736317 Stephens et al. Jun 2010 B2
7742795 Stone et al. Jun 2010 B2
7743189 Brown et al. Jun 2010 B2
7762954 Nix et al. Jul 2010 B2
7766896 Kornkven Volk et al. Aug 2010 B2
7773792 Kimmel et al. Aug 2010 B2
7775981 Guracar et al. Aug 2010 B1
7777399 Eidenschink et al. Aug 2010 B2
7781724 Childers et al. Aug 2010 B2
7783337 Feldman et al. Aug 2010 B2
7787127 Galle et al. Aug 2010 B2
7792342 Barbu et al. Sep 2010 B2
7801343 Unal et al. Sep 2010 B2
7801590 Feldman et al. Sep 2010 B2
7813609 Petersen et al. Oct 2010 B2
7831081 Li Nov 2010 B2
7846101 Eberle et al. Dec 2010 B2
7853104 Oota et al. Dec 2010 B2
7853316 Milner et al. Dec 2010 B2
7860555 Saadat Dec 2010 B2
7862508 Davies et al. Jan 2011 B2
7872759 Tearney et al. Jan 2011 B2
7880868 Aoki Feb 2011 B2
7881763 Brauker et al. Feb 2011 B2
7909844 Alkhatib et al. Mar 2011 B2
7921854 Hennings et al. Apr 2011 B2
7927784 Simpson Apr 2011 B2
7929148 Kemp Apr 2011 B2
7930014 Huennekens et al. Apr 2011 B2
7930104 Baker et al. Apr 2011 B2
7936462 Jiang et al. May 2011 B2
7942852 Mas et al. May 2011 B2
7947012 Spurchise et al. May 2011 B2
7951186 Eidenschink et al. May 2011 B2
7952719 Brennan, III May 2011 B2
7972353 Hendriksen et al. Jul 2011 B2
7976492 Brauker et al. Jul 2011 B2
7977950 Maslen Jul 2011 B2
7978916 Klingensmith et al. Jul 2011 B2
7981041 McGahan Jul 2011 B2
7981151 Rowe Jul 2011 B2
7983737 Feldman et al. Jul 2011 B2
7993333 Oral et al. Aug 2011 B2
7995210 Tearney et al. Aug 2011 B2
7996060 Trofimov et al. Aug 2011 B2
7999938 Wang Aug 2011 B2
8021377 Eskuri Sep 2011 B2
8021420 Dolan Sep 2011 B2
8036732 Milner Oct 2011 B2
8040586 Smith et al. Oct 2011 B2
8047996 Goodnow et al. Nov 2011 B2
8049900 Kemp et al. Nov 2011 B2
8050478 Li et al. Nov 2011 B2
8050523 Younge et al. Nov 2011 B2
8052605 Muller et al. Nov 2011 B2
8057394 Dala-Krishna Nov 2011 B2
8059923 Bates et al. Nov 2011 B2
8070800 Lock et al. Dec 2011 B2
8080800 Hoctor et al. Dec 2011 B2
8088102 Adams et al. Jan 2012 B2
8100838 Wright et al. Jan 2012 B2
8104479 Glynn et al. Jan 2012 B2
8108030 Castella et al. Jan 2012 B2
8114102 Galdonik et al. Feb 2012 B2
8116605 Petersen et al. Feb 2012 B2
8125648 Milner et al. Feb 2012 B2
8126239 Sun et al. Feb 2012 B2
8133199 Weber et al. Mar 2012 B2
8133269 Flechsenhar et al. Mar 2012 B2
8140708 Zaharia et al. Mar 2012 B2
8148877 Jiang et al. Apr 2012 B2
8167932 Bourang et al. May 2012 B2
8172757 Jaffe et al. May 2012 B2
8177809 Mavani et al. May 2012 B2
8187191 Hancock et al. May 2012 B2
8187267 Pappone et al. May 2012 B2
8187830 Hu et al. May 2012 B2
8199218 Lee et al. Jun 2012 B2
8206429 Gregorich et al. Jun 2012 B2
8208995 Tearney et al. Jun 2012 B2
8222906 Wyar et al. Jul 2012 B2
8233681 Aylward et al. Jul 2012 B2
8233718 Klingensmith et al. Jul 2012 B2
8238624 Doi et al. Aug 2012 B2
8239938 Simeral et al. Aug 2012 B2
8277386 Ahmed et al. Oct 2012 B2
8280470 Milner et al. Oct 2012 B2
8289284 Glynn et al. Oct 2012 B2
8289522 Tearney et al. Oct 2012 B2
8298147 Huennekens et al. Oct 2012 B2
8298149 Hastings et al. Oct 2012 B2
8301000 Sillard et al. Oct 2012 B2
8309428 Lemmerhirt et al. Nov 2012 B2
8317713 Davies et al. Nov 2012 B2
8323201 Towfiq et al. Dec 2012 B2
8329053 Martin et al. Dec 2012 B2
8336643 Harleman Dec 2012 B2
8349000 Schreck Jan 2013 B2
8353945 Andreas et al. Jan 2013 B2
8353954 Cai et al. Jan 2013 B2
8357981 Martin et al. Jan 2013 B2
8361097 Patel et al. Jan 2013 B2
8386560 Ma et al. Feb 2013 B2
8398591 Mas et al. Mar 2013 B2
8412312 Judell et al. Apr 2013 B2
8417491 Trovato et al. Apr 2013 B2
8449465 Nair et al. May 2013 B2
8454685 Hariton et al. Jun 2013 B2
8454686 Alkhatib Jun 2013 B2
8475522 Jimenez et al. Jul 2013 B2
8478384 Schmitt et al. Jul 2013 B2
8486062 Belhe et al. Jul 2013 B2
8486063 Werneth et al. Jul 2013 B2
8491567 Magnin et al. Jul 2013 B2
8500798 Rowe et al. Aug 2013 B2
8550911 Sylla Oct 2013 B2
8594757 Boppart et al. Nov 2013 B2
8597349 Alkhatib Dec 2013 B2
8600477 Beyar et al. Dec 2013 B2
8600917 Schimert et al. Dec 2013 B1
8601056 Lauwers et al. Dec 2013 B2
8620055 Barratt et al. Dec 2013 B2
8644910 Rousso et al. Feb 2014 B2
20010007940 Tu et al. Jul 2001 A1
20010029337 Pantages et al. Oct 2001 A1
20010037073 White et al. Nov 2001 A1
20010046345 Snyder et al. Nov 2001 A1
20010049548 Vardi et al. Dec 2001 A1
20020034276 Hu et al. Mar 2002 A1
20020041723 Ronnekleiv et al. Apr 2002 A1
20020069676 Kopp et al. Jun 2002 A1
20020089335 Williams Jul 2002 A1
20020099289 Crowley Jul 2002 A1
20020163646 Anderson Nov 2002 A1
20020186818 Arnaud et al. Dec 2002 A1
20020196446 Roth et al. Dec 2002 A1
20020197456 Pope Dec 2002 A1
20030004412 Izatt et al. Jan 2003 A1
20030016604 Hanes Jan 2003 A1
20030018273 Corl et al. Jan 2003 A1
20030023153 Izatt et al. Jan 2003 A1
20030032886 Dgany et al. Feb 2003 A1
20030050871 Broughton Mar 2003 A1
20030065371 Satake Apr 2003 A1
20030069723 Hegde Apr 2003 A1
20030077043 Hamm et al. Apr 2003 A1
20030085635 Davidsen May 2003 A1
20030090753 Takeyama et al. May 2003 A1
20030092995 Thompson May 2003 A1
20030093059 Griffin et al. May 2003 A1
20030103212 Westphal et al. Jun 2003 A1
20030152259 Belykh et al. Aug 2003 A1
20030181802 Ogawa Sep 2003 A1
20030187369 Lewis et al. Oct 2003 A1
20030194165 Silberberg et al. Oct 2003 A1
20030195419 Harada Oct 2003 A1
20030208116 Liang et al. Nov 2003 A1
20030212491 Mitchell et al. Nov 2003 A1
20030216621 Alpert Nov 2003 A1
20030219202 Loeb et al. Nov 2003 A1
20030220749 Chen et al. Nov 2003 A1
20030228039 Green Dec 2003 A1
20040015065 Panescu et al. Jan 2004 A1
20040023317 Motamedi et al. Feb 2004 A1
20040028333 Lomas Feb 2004 A1
20040037742 Jen et al. Feb 2004 A1
20040042066 Kinoshita et al. Mar 2004 A1
20040054287 Stephens Mar 2004 A1
20040067000 Bates et al. Apr 2004 A1
20040068161 Couvillon Apr 2004 A1
20040082844 Vardi et al. Apr 2004 A1
20040092830 Scott et al. May 2004 A1
20040106853 Moriyama Jun 2004 A1
20040111552 Arimilli et al. Jun 2004 A1
20040126048 Dave et al. Jul 2004 A1
20040143160 Couvillon Jul 2004 A1
20040146546 Gravett et al. Jul 2004 A1
20040186369 Lam Sep 2004 A1
20040186558 Pavcnik et al. Sep 2004 A1
20040195512 Crosetto Oct 2004 A1
20040220606 Goshgarian Nov 2004 A1
20040225220 Rich Nov 2004 A1
20040239938 Izatt Dec 2004 A1
20040242990 Brister et al. Dec 2004 A1
20040248439 Gernhardt et al. Dec 2004 A1
20040260236 Manning et al. Dec 2004 A1
20050013778 Green et al. Jan 2005 A1
20050031176 Hertel et al. Feb 2005 A1
20050036150 Izatt et al. Feb 2005 A1
20050078317 Law et al. Apr 2005 A1
20050101859 Maschke May 2005 A1
20050140582 Lee et al. Jun 2005 A1
20050140682 Sumanaweera et al. Jun 2005 A1
20050140981 Waelti Jun 2005 A1
20050140984 Hitzenberger Jun 2005 A1
20050147303 Zhou et al. Jul 2005 A1
20050165439 Weber et al. Jul 2005 A1
20050171433 Boppart et al. Aug 2005 A1
20050171438 Chen et al. Aug 2005 A1
20050182297 Gravenstein et al. Aug 2005 A1
20050196028 Kleen et al. Sep 2005 A1
20050197585 Brockway et al. Sep 2005 A1
20050213103 Everett et al. Sep 2005 A1
20050215942 Abrahamson et al. Sep 2005 A1
20050234445 Conquergood et al. Oct 2005 A1
20050243322 Lasker et al. Nov 2005 A1
20050249391 Kimmel et al. Nov 2005 A1
20050251567 Ballew et al. Nov 2005 A1
20050254059 Alphonse Nov 2005 A1
20050264823 Zhu et al. Dec 2005 A1
20060013523 Childlers et al. Jan 2006 A1
20060015126 Sher Jan 2006 A1
20060029634 Berg et al. Feb 2006 A1
20060036167 Shina Feb 2006 A1
20060038115 Maas Feb 2006 A1
20060039004 de Boer et al. Feb 2006 A1
20060041180 Viswanathan et al. Feb 2006 A1
20060045536 Arahira Mar 2006 A1
20060055936 Yun et al. Mar 2006 A1
20060058622 Tearney et al. Mar 2006 A1
20060064009 Webler et al. Mar 2006 A1
20060067620 Shishkov et al. Mar 2006 A1
20060072808 Grimm et al. Apr 2006 A1
20060074442 Noriega et al. Apr 2006 A1
20060098927 Schmidt et al. May 2006 A1
20060100694 Globerman May 2006 A1
20060106375 Werneth et al. May 2006 A1
20060132790 Gutin Jun 2006 A1
20060135870 Webler Jun 2006 A1
20060142703 Carter et al. Jun 2006 A1
20060142733 Forsberg Jun 2006 A1
20060173299 Romley et al. Aug 2006 A1
20060179255 Yamazaki Aug 2006 A1
20060184048 Saadat Aug 2006 A1
20060187537 Huber et al. Aug 2006 A1
20060195269 Yeatman et al. Aug 2006 A1
20060204119 Feng et al. Sep 2006 A1
20060229591 Lee Oct 2006 A1
20060239312 Kewitsch et al. Oct 2006 A1
20060241342 Macaulay et al. Oct 2006 A1
20060241465 Huennekens et al. Oct 2006 A1
20060241503 Schmitt et al. Oct 2006 A1
20060244973 Yun et al. Nov 2006 A1
20060258895 Maschke Nov 2006 A1
20060264743 Kleen et al. Nov 2006 A1
20060267756 Kates Nov 2006 A1
20060270976 Savage et al. Nov 2006 A1
20060276709 Khamene et al. Dec 2006 A1
20060279742 Tearney et al. Dec 2006 A1
20060279743 Boesser et al. Dec 2006 A1
20060285638 Boese et al. Dec 2006 A1
20060287595 Maschke Dec 2006 A1
20060293597 Johnson et al. Dec 2006 A1
20070015969 Feldman et al. Jan 2007 A1
20070016029 Donaldson et al. Jan 2007 A1
20070016034 Donaldson Jan 2007 A1
20070016062 Park et al. Jan 2007 A1
20070027390 Maschke et al. Feb 2007 A1
20070036417 Argiro et al. Feb 2007 A1
20070038061 Huennekens et al. Feb 2007 A1
20070038121 Feldman et al. Feb 2007 A1
20070038125 Kleen et al. Feb 2007 A1
20070043292 Camus et al. Feb 2007 A1
20070043597 Donaldson Feb 2007 A1
20070049847 Osborne Mar 2007 A1
20070060973 Ludvig et al. Mar 2007 A1
20070065077 Childers et al. Mar 2007 A1
20070066888 Maschke Mar 2007 A1
20070066890 Maschke Mar 2007 A1
20070066983 Maschke Mar 2007 A1
20070084995 Newton et al. Apr 2007 A1
20070100226 Yankelevitz et al. May 2007 A1
20070135887 Maschke Jun 2007 A1
20070142707 Wiklof et al. Jun 2007 A1
20070156019 Larkin et al. Jul 2007 A1
20070161893 Milner et al. Jul 2007 A1
20070161896 Adachi et al. Jul 2007 A1
20070161963 Smalling Jul 2007 A1
20070162860 Muralidharan et al. Jul 2007 A1
20070165141 Srinivas et al. Jul 2007 A1
20070167710 Unal et al. Jul 2007 A1
20070167804 Park et al. Jul 2007 A1
20070191682 Rolland et al. Aug 2007 A1
20070201736 Klingensmith et al. Aug 2007 A1
20070206193 Pesach Sep 2007 A1
20070208276 Kornkven Volk et al. Sep 2007 A1
20070225220 Ming et al. Sep 2007 A1
20070225590 Ramos Sep 2007 A1
20070229801 Tearney et al. Oct 2007 A1
20070232872 Prough et al. Oct 2007 A1
20070232874 Ince Oct 2007 A1
20070232890 Hirota Oct 2007 A1
20070232891 Hirota Oct 2007 A1
20070232892 Hirota Oct 2007 A1
20070232893 Tanioka Oct 2007 A1
20070232933 Gille et al. Oct 2007 A1
20070238957 Yared Oct 2007 A1
20070247033 Eidenschink et al. Oct 2007 A1
20070250000 Magnin et al. Oct 2007 A1
20070250036 Volk et al. Oct 2007 A1
20070258094 Izatt et al. Nov 2007 A1
20070260138 Feldman et al. Nov 2007 A1
20070278389 Ajgaonkar et al. Dec 2007 A1
20070287914 Cohen Dec 2007 A1
20080002183 Yatagai et al. Jan 2008 A1
20080013093 Izatt et al. Jan 2008 A1
20080021275 Tearney et al. Jan 2008 A1
20080027481 Gilson et al. Jan 2008 A1
20080043024 Schiwietz et al. Feb 2008 A1
20080045842 Furnish Feb 2008 A1
20080051660 Kakadaris et al. Feb 2008 A1
20080063304 Russak et al. Mar 2008 A1
20080085041 Breeuwer Apr 2008 A1
20080095465 Mullick et al. Apr 2008 A1
20080095714 Castella et al. Apr 2008 A1
20080097194 Milner Apr 2008 A1
20080101667 Begelman et al. May 2008 A1
20080108867 Zhou May 2008 A1
20080114254 Matcovitch et al. May 2008 A1
20080119739 Vardi et al. May 2008 A1
20080124495 Horn et al. May 2008 A1
20080125772 Stone et al. May 2008 A1
20080139897 Ainsworth et al. Jun 2008 A1
20080143707 Mitchell Jun 2008 A1
20080146941 Dala-Krishna Jun 2008 A1
20080147111 Johnson et al. Jun 2008 A1
20080154128 Milner Jun 2008 A1
20080161696 Schmitt et al. Jul 2008 A1
20080171944 Brenneman et al. Jul 2008 A1
20080175465 Jiang et al. Jul 2008 A1
20080177183 Courtney et al. Jul 2008 A1
20080180683 Kemp Jul 2008 A1
20080181477 Izatt et al. Jul 2008 A1
20080187201 Liang et al. Aug 2008 A1
20080228086 Ilegbusi et al. Sep 2008 A1
20080247622 Aylward et al. Oct 2008 A1
20080247716 Thomas et al. Oct 2008 A1
20080262470 Lee et al. Oct 2008 A1
20080262489 Steinke Oct 2008 A1
20080269599 Csavoy et al. Oct 2008 A1
20080281205 Naghavi et al. Nov 2008 A1
20080281248 Angheloiu et al. Nov 2008 A1
20080285043 Fercher et al. Nov 2008 A1
20080287795 Klingensmith et al. Nov 2008 A1
20080291463 Milner et al. Nov 2008 A1
20080292173 Hsieh et al. Nov 2008 A1
20080294034 Krueger et al. Nov 2008 A1
20080298655 Edwards Dec 2008 A1
20080306766 Ozeki et al. Dec 2008 A1
20090009801 Tabuki Jan 2009 A1
20090018393 Dick et al. Jan 2009 A1
20090034813 Dikmen et al. Feb 2009 A1
20090043191 Castella et al. Feb 2009 A1
20090046295 Kemp Feb 2009 A1
20090052614 Hempel et al. Feb 2009 A1
20090069843 Agnew Mar 2009 A1
20090079993 Yatagai et al. Mar 2009 A1
20090088650 Corl Apr 2009 A1
20090093980 Kemp et al. Apr 2009 A1
20090122320 Petersen et al. May 2009 A1
20090138544 Wegenkittl et al. May 2009 A1
20090149739 Maschke Jun 2009 A9
20090156941 Moore Jun 2009 A1
20090174886 Inoue Jul 2009 A1
20090174931 Huber et al. Jul 2009 A1
20090177090 Grunwald et al. Jul 2009 A1
20090177183 Pinkernell et al. Jul 2009 A1
20090195514 Glynn et al. Aug 2009 A1
20090196470 Carl et al. Aug 2009 A1
20090198125 Nakabayashi et al. Aug 2009 A1
20090203991 Papaioannou et al. Aug 2009 A1
20090264768 Courtney et al. Oct 2009 A1
20090269014 Winberg et al. Oct 2009 A1
20090270695 McEowen Oct 2009 A1
20090284322 Harrison et al. Nov 2009 A1
20090284332 Moore et al. Nov 2009 A1
20090284749 Johnson et al. Nov 2009 A1
20090290167 Flanders et al. Nov 2009 A1
20090292048 Li et al. Nov 2009 A1
20090299195 Muller et al. Dec 2009 A1
20090299284 Holman et al. Dec 2009 A1
20090318951 Kashkarov et al. Dec 2009 A1
20090326634 Vardi Dec 2009 A1
20100007669 Bethune et al. Jan 2010 A1
20100030042 Denninghoff et al. Feb 2010 A1
20100061611 Xu et al. Mar 2010 A1
20100063400 Hall et al. Mar 2010 A1
20100087732 Eberle et al. Apr 2010 A1
20100094125 Younge et al. Apr 2010 A1
20100094127 Xu Apr 2010 A1
20100094135 Fang-Yen et al. Apr 2010 A1
20100094143 Mahapatra et al. Apr 2010 A1
20100110376 Everett May 2010 A1
20100113919 Maschke May 2010 A1
20100125238 Lye et al. May 2010 A1
20100125268 Gustus et al. May 2010 A1
20100125648 Zaharia et al. May 2010 A1
20100128348 Taverner May 2010 A1
20100152717 Keeler Jun 2010 A1
20100160788 Davies et al. Jun 2010 A1
20100161023 Cohen et al. Jun 2010 A1
20100168714 Burke et al. Jul 2010 A1
20100179421 Tupin Jul 2010 A1
20100179426 Davies et al. Jul 2010 A1
20100220334 Condit et al. Sep 2010 A1
20100226607 Zhang et al. Sep 2010 A1
20100234736 Corl Sep 2010 A1
20100249601 Courtney Sep 2010 A1
20100256616 Katoh et al. Oct 2010 A1
20100272432 Johnson Oct 2010 A1
20100284590 Peng et al. Nov 2010 A1
20100290693 Cohen et al. Nov 2010 A1
20100331950 Strommer Dec 2010 A1
20110010925 Nix et al. Jan 2011 A1
20110021926 Spencer et al. Jan 2011 A1
20110025853 Richardson Feb 2011 A1
20110026797 Declerck et al. Feb 2011 A1
20110032533 Izatt et al. Feb 2011 A1
20110034801 Baumgart Feb 2011 A1
20110044546 Pan et al. Feb 2011 A1
20110066073 Kuiper et al. Mar 2011 A1
20110071401 Hastings et al. Mar 2011 A1
20110072405 Chen et al. Mar 2011 A1
20110077528 Kemp et al. Mar 2011 A1
20110080591 Johnson et al. Apr 2011 A1
20110087104 Moore et al. Apr 2011 A1
20110137140 Tearney et al. Jun 2011 A1
20110144502 Zhou et al. Jun 2011 A1
20110152771 Milner et al. Jun 2011 A1
20110157597 Lu et al. Jun 2011 A1
20110160586 Li et al. Jun 2011 A1
20110178413 Schmitt et al. Jul 2011 A1
20110190586 Kemp Aug 2011 A1
20110216378 Poon et al. Sep 2011 A1
20110220985 Son et al. Sep 2011 A1
20110238061 van der Weide et al. Sep 2011 A1
20110238083 Moll et al. Sep 2011 A1
20110245669 Zhang Oct 2011 A1
20110249094 Wang et al. Oct 2011 A1
20110257545 Suri Oct 2011 A1
20110264125 Wilson et al. Oct 2011 A1
20110274329 Mathew et al. Nov 2011 A1
20110282334 Groenhoff Nov 2011 A1
20110301684 Fischell et al. Dec 2011 A1
20110306995 Moberg Dec 2011 A1
20110319752 Steinberg Dec 2011 A1
20120004529 Tolkowsky et al. Jan 2012 A1
20120004668 Wallace et al. Jan 2012 A1
20120013914 Kemp et al. Jan 2012 A1
20120016344 Kusakabe Jan 2012 A1
20120016395 Olson Jan 2012 A1
20120022360 Kemp Jan 2012 A1
20120026503 Lewandowski et al. Feb 2012 A1
20120029007 Graham et al. Feb 2012 A1
20120059253 Wang et al. Mar 2012 A1
20120059368 Takaoka et al. Mar 2012 A1
20120062843 Ferguson et al. Mar 2012 A1
20120065481 Hunter et al. Mar 2012 A1
20120071823 Chen Mar 2012 A1
20120071838 Fojtik Mar 2012 A1
20120075638 Rollins et al. Mar 2012 A1
20120083696 Kitamura Apr 2012 A1
20120095340 Smith Apr 2012 A1
20120095372 Sverdlik et al. Apr 2012 A1
20120108943 Bates et al. May 2012 A1
20120113108 Dala-Krishna May 2012 A1
20120116353 Arnold et al. May 2012 A1
20120130243 Balocco et al. May 2012 A1
20120130247 Waters et al. May 2012 A1
20120136259 Milner et al. May 2012 A1
20120136427 Palmaz et al. May 2012 A1
20120137075 Vorbach May 2012 A1
20120155734 Barratt et al. Jun 2012 A1
20120158101 Stone et al. Jun 2012 A1
20120162660 Kemp Jun 2012 A1
20120165661 Kemp et al. Jun 2012 A1
20120170848 Kemp et al. Jul 2012 A1
20120172698 Teo et al. Jul 2012 A1
20120176607 Ott Jul 2012 A1
20120184853 Waters Jul 2012 A1
20120184859 Shah et al. Jul 2012 A1
20120184977 Wolf Jul 2012 A1
20120215094 Rahimian et al. Aug 2012 A1
20120220836 Alpert et al. Aug 2012 A1
20120220851 Razansky et al. Aug 2012 A1
20120220865 Brown et al. Aug 2012 A1
20120220874 Hancock et al. Aug 2012 A1
20120220883 Manstrom et al. Aug 2012 A1
20120224751 Kemp et al. Sep 2012 A1
20120226153 Brown et al. Sep 2012 A1
20120230565 Steinberg et al. Sep 2012 A1
20120232400 Dickinson et al. Sep 2012 A1
20120238869 Schmitt et al. Sep 2012 A1
20120238956 Yamada et al. Sep 2012 A1
20120244043 Leblanc et al. Sep 2012 A1
20120250028 Schmitt et al. Oct 2012 A1
20120253186 Simpson et al. Oct 2012 A1
20120253192 Cressman Oct 2012 A1
20120253276 Govari et al. Oct 2012 A1
20120257210 Whitney et al. Oct 2012 A1
20120262720 Brown et al. Oct 2012 A1
20120265077 Gille et al. Oct 2012 A1
20120265268 Blum et al. Oct 2012 A1
20120265296 McNamara et al. Oct 2012 A1
20120271170 Emelianov et al. Oct 2012 A1
20120271175 Moore et al. Oct 2012 A1
20120271339 O'Beirne et al. Oct 2012 A1
20120274338 Baks et al. Nov 2012 A1
20120276390 Ji et al. Nov 2012 A1
20120277722 Gerber et al. Nov 2012 A1
20120279764 Jiang et al. Nov 2012 A1
20120283758 Miller et al. Nov 2012 A1
20120289987 Wilson et al. Nov 2012 A1
20120299439 Huang Nov 2012 A1
20120310081 Adler et al. Dec 2012 A1
20120310332 Murray et al. Dec 2012 A1
20120319535 Dausch Dec 2012 A1
20120323075 Younge et al. Dec 2012 A1
20120323127 Boyden et al. Dec 2012 A1
20120330141 Brown et al. Dec 2012 A1
20130015975 Huennekens et al. Jan 2013 A1
20130023762 Huennekens et al. Jan 2013 A1
20130023763 Huennekens et al. Jan 2013 A1
20130026655 Lee et al. Jan 2013 A1
20130030295 Huennekens et al. Jan 2013 A1
20130030303 Ahmed et al. Jan 2013 A1
20130030410 Drasler et al. Jan 2013 A1
20130053949 Pintor et al. Feb 2013 A1
20130109958 Baumgart et al. May 2013 A1
20130109959 Baumgart et al. May 2013 A1
20130137980 Waters et al. May 2013 A1
20130150716 Stigall et al. Jun 2013 A1
20130158594 Carrison et al. Jun 2013 A1
20130218201 Obermiller et al. Aug 2013 A1
20130218267 Braido et al. Aug 2013 A1
20130223789 Lee et al. Aug 2013 A1
20130223798 Jenner et al. Aug 2013 A1
20130271772 Johnson et al. Oct 2013 A1
20130296704 Magnin et al. Nov 2013 A1
20130303907 Corl Nov 2013 A1
20130303920 Corl Nov 2013 A1
20130308136 Kuznetsov et al. Nov 2013 A1
20130310698 Judell et al. Nov 2013 A1
20130331820 Itou et al. Dec 2013 A1
20130338766 Hastings et al. Dec 2013 A1
20130339958 Droste et al. Dec 2013 A1
20140039294 Jiang Feb 2014 A1
20140180067 Stigall et al. Jun 2014 A1
20140180128 Corl Jun 2014 A1
20140200438 Millett et al. Jul 2014 A1
Foreign Referenced Citations (79)
Number Date Country
1041373 Oct 2000 EP
01172637 Jan 2002 EP
2438877 Apr 2012 EP
2280261 Jan 1995 GB
2000-262461 Sep 2000 JP
2000-292260 Oct 2000 JP
2001-125009 May 2001 JP
2001-272331 Oct 2001 JP
2002-374034 Dec 2002 JP
2003-143783 May 2003 JP
2003-172690 Jun 2003 JP
2003-256876 Sep 2003 JP
2003-287534 Oct 2003 JP
2005-274380 Oct 2005 JP
2006-184284 Jul 2006 JP
2006-266797 Oct 2006 JP
2006-313158 Nov 2006 JP
2007-024677 Feb 2007 JP
2009-233001 Oct 2009 JP
2011-56786 Mar 2011 JP
9101156 Feb 1991 WO
9216865 Oct 1992 WO
9306213 Apr 1993 WO
9308829 May 1993 WO
9838907 Sep 1998 WO
9857583 Dec 1998 WO
0011511 Mar 2000 WO
0044296 Aug 2000 WO
0111409 Feb 2001 WO
03062802 Jul 2003 WO
03073950 Sep 2003 WO
2004010856 Feb 2004 WO
2004023992 Mar 2004 WO
2004096049 Nov 2004 WO
2005047813 May 2005 WO
2005106695 Nov 2005 WO
2006029634 Mar 2006 WO
2006037132 Apr 2006 WO
2006039091 Apr 2006 WO
2006061829 Jun 2006 WO
2006068875 Jun 2006 WO
2006111704 Oct 2006 WO
2006119416 Nov 2006 WO
2006121851 Nov 2006 WO
2006130802 Dec 2006 WO
2007002685 Jan 2007 WO
2007025230 Mar 2007 WO
2007045690 Apr 2007 WO
2007058895 May 2007 WO
2007067323 Jun 2007 WO
2007084995 Jul 2007 WO
2008058084 May 2008 WO
2008069991 Jun 2008 WO
2008107905 Sep 2008 WO
2009009799 Jan 2009 WO
2009009801 Jan 2009 WO
2009046431 Apr 2009 WO
2009121067 Oct 2009 WO
2009137704 Nov 2009 WO
2011006886 Jan 2011 WO
2011038048 Mar 2011 WO
2011081688 Jul 2011 WO
2012003369 Jan 2012 WO
2012061935 May 2012 WO
2012071388 May 2012 WO
2012087818 Jun 2012 WO
2012098194 Jul 2012 WO
2012109676 Aug 2012 WO
2012130289 Oct 2012 WO
2012154767 Nov 2012 WO
2012155040 Nov 2012 WO
2013033414 Mar 2013 WO
2013033415 Mar 2013 WO
2013033418 Mar 2013 WO
2013033489 Mar 2013 WO
2013033490 Mar 2013 WO
2013033592 Mar 2013 WO
2013126390 Aug 2013 WO
2014109879 Jul 2014 WO
Non-Patent Literature Citations (190)
Entry
Sihan et al., 2008, A novel approach to quantitative analysis of intraluminal optical coherence tomography imaging, Comput. Cardiol:1089-1092.
Siwy et al., 2003, Electro-responsive asymmetric nanopores in polyimide with stable ion-current signal, Applied Physics A: Materials Science & Processing 76:781-785.
Smith et al., 1989, Absolute displacement measurements using modulation of the spectrum of white light in a Michelson interferometer, Applied Optics, 28(16):3339-3342.
Smith, 1997, The Scientist and Engineer's Guide to Digital Signal Processing, California Technical Publishing, San Diego, CA:432-436.
Soller, 2003, Polarization diverse optical frequency domain interferometry:All coupler implementation, Bragg Grating, Photosensitivity, and Poling in Glass Waveguides Conference MB4:30-32.
Song et al., 2012, Active tremor cancellation by a “Smart” handheld vitreoretinal microsurgical tool using swept source optical coherence tomography, Optics Express, 20(21):23414-23421.
Stenqvist et al., 1983, Stiffness of central venous catheters, Acta Anaesthesiol Scand., 2:153-157.
Strickland, 1970, Time-Domain Reflectometer Measurements, Tektronix, Beaverton, OR, (107 pages).
Strobl et al., 2009, An Introduction to Recursive Partitioning:Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests, Psychol Methods., 14(4):323-348.
Sutcliffe et al., 1986, Dynamics of UV laser ablation of organic polymer surfaces, Journal of Applied Physics, 60(9):3315-3322.
Suzuki, 2013, A novel guidewire approach for handling acute-angle bifurcations, J Inv Cardiol 25(1):48-54.
Tanimoto et al., 2008, A novel approach for quantitative analysis of intracoronary optical coherence tomography: high inter-observer agreement with computer-assisted contour detection, Cathet Cardiovascular Intervent., 72(2):228-235.
Tearney et al., 1997, In vivo Endoscopic Optical Biopsy with Optical Coherence Tomography, Science, 276:2037-2039.
Tonino et al., 2009, Fractional flow reserve versus angiography for guiding percutaneous coronary intervention, The New England Journal of Medicine, 360:213-224.
Toregeani et al., 2008, Evaluation of hemodialysis arteriovenous fistula maturation by color-flow Doppler ultrasound, J Vase. Bras. 7(3):203-213.
Translation of Notice of Reason(s) for Refusal dated Apr. 30, 2014, for Japanese Patent Application No. 2011-508677, (5 pages).
Translation of Notice of Reason(s) for Refusal dated May 25, 2012, for Japanese Patent Application No. 2009-536425, (3 pages).
Translation of Notice of Reason(s) for Refusal dated Nov. 22, 2012, for Japanese Patent Application No. 2010-516304, (6 pages).
Traunecker et al., 1991, Bispecific single chain molecules (Janusins) target cytotoxic lymphocytes on HIV infected cells, EMBO J., 10:3655-3659.
Trolier-McKinstry et. al., 2004, Thin Film Piezoelectric for MEMS, Journal of Electroceramics 12:7-17.
Tuniz et al., 2010, Weaving the invisible thread: design of an optically invisible metamaterial fibre, Optics Express 18(17):18095-18105.
Turk et al., 1991, Eigenfaces for Recognition, Journal of Cognitive Neuroscience 3(1):71-86.
Tuzel et al., 2006, Region Covariance: A Fast Descriptor for Detection and Classification, European Conference on Computer Vision (ECCV).
Urban et al., 2010, Design of a Pressure Sensor Based on Optical Bragg Grating Lateral Deformation, Sensors (Basel), 10(12):11212-11225.
Vakhtin et al., 2003, Common-path interferometer for frequency-domain optical coherence tomography, Applied Optics, 42(34):6953-6958.
Vakoc et al., 2005, Phase-Resolved Optical Frequency Domain Imaging, Optics Express 13(14):5483-5493.
Verhoeyen et al., 1988, Reshaping human antibodies: grafting an antilysozyme activity, Science, 239:1534-1536.
Villard et al., 2002, Use of a blood substitute to determine instantaneous murine right ventricular thickening with optical coherence tomography, Circulation, 105:1843-1849.
Wang et al., 2002, Optimizing the Beam Patten of a Forward-Viewing Ring-Annular Ultrasound Array for Intravascular Imaging, Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 49(12).
Wang et al., 2006, Multiple biomarkers for the prediction of first major cardiovascular events and death, The New England Journal of Medicine, 355(25):2631-2639.
Wang et al., 2009, Robust Guidewire Tracking in Fluoroscopy, IEEE Conference on Computer Vision and Pattern Recognition—CVPR 2009:691-698.
Wang et al., 2011, In vivo intracardiac optical coherence tomography imaging through percutaneous access: toward image-guided radio-frequency ablation, J. Biomed. Opt. 0001 16(11):110505-1 (3 pages).
Waterhouse et. al., 1993, Combinatorial infection and in vivo recombination: a strategy for making large phage antibody repertoires, Nucleic Acids Res., 21:2265-2266.
Wegener, 2011, 3D Photonic Metamaterials and Invisibility Cloaks: The Method of Making, MEMS 2011, Cancun, Mexico, Jan. 23-27, 2011.
West et al., 1991, Arterial insufficiency in hemodialysis access procedures: correction by banding technique, Transpl Proc 23(2):1838-40.
Wyawahare et al., 2009, Image registration techniques: an overview, International Journal of Signal Processing, Image Processing and Pattern Recognition, 2(3):11-28.
Yaqoob et al., 2006, Methods and application areas of endoscopic optical coherence tomography, J. Biomed. Opt, 11, 063001-1-063001-19.
Yasuno et al., 2004, Polarization-sensitive complex Fourier domain optical coherence tomography for Jones matrix imaging of biological samples, Applied Physics Letters 85(15):3023-3025.
Zhang et al., 2004, Full range polarization-sensitive Fourier domain optical coherence tomography, Optics Express, 12(24):6033-6039.
Zitova et al., 2003, Image registration methods: A survey. Image and Vision Computing, 21(11):977-1000.
International Search Report and Written Opinion mailed Nov. 2, 2012, for International Patent Application No. PCT/US12/53168, filed Aug. 30, 2013 (8 pages).
International Search Report and Written Opinion mailed on Apr. 14, 2014, for International Patent Application No. PCT/US2013/076148, filed Dec. 18, 2013 (8 pages).
International Search Report and Written Opinion mailed on Apr. 21, 2014, for International Patent Application No. PCT/US2013/076015, filed Dec. 18, 2013 (7 pages).
International Search Report and Written Opinion mailed on Apr. 23, 2014, for International Patent Application No. PCT/US2013/075328, filed Dec. 16, 2013 (8 pages).
International Search Report and Written Opinion mailed on Apr. 29, 2014, for International Patent Application No. PCT/US13/76093, filed Dec. 18, 2013 (6 pages).
International Search Report and Written Opinion mailed on Apr. 9, 2014, for International Patent Application No. PCT/US13/75089, filed Dec. 13, 2013 (7 pages).
International Search Report and Written Opinion mailed on Feb. 21, 2014, for International Patent Application No. PCT/US13/76053, filed Dec. 18, 2013 (9 pages).
International Search Report and Written Opinion mailed on Feb. 21, 2014, for International Patent Application No. PCT/US2013/076965, filed Dec. 20, 2013 (6 pages).
International Search Report and Written Opinion mailed on Feb. 27, 2014, for International Patent Application No. PCT/US13/75416, filed Dec. 16, 2013 (7 pages).
International Search Report and Written Opinion mailed on Feb. 28, 2014, for International Patent Application No. PCT/US13/75653, filed Dec. 17, 2013 (7 pages).
International Search Report and Written Opinion mailed on Feb. 28, 2014, for International Patent Application No. PCT/US13/75990, filed Dec. 18, 2013 (7 pages).
International Search Report and Written Opinion mailed on Jan. 16, 2009, for International Patent Application No. PCT/US08/78963 filed on Oct. 6, 2008 (7 Pages).
International Search Report and Written Opinion mailed on Jul. 30, 2014, for International Patent Application No. PCT/US14/21659, filed Mar. 7, 2014 (15 pages).
International Search Report and Written Opinion mailed on Mar. 10, 2014, for International Patent Application No. PCT/US2013/076212, filed Dec. 18, 2013 (8 pages).
International Search Report and Written Opinion mailed on Mar. 11, 2014, for International Patent Application No. PCT/US13/76173, filed Dec. 16, 2013 (9 pages).
International Search Report and Written Opinion mailed on Mar. 11, 2014, for International Patent Application No. PCT/US13/76449, filed Dec. 19, 2013 (9 pages).
International Search Report and Written Opinion mailed on Mar. 18, 2014, for International Patent Application No. PCT/US2013/076502, filed Dec. 19, 2013 (7 pages).
International Search Report and Written Opinion mailed on Mar. 18, 2014, for International Patent Application No. PCT/US2013/076788, filed Dec. 20, 2013 (7 pages).
International Search Report and Written Opinion mailed on Mar. 19, 2014, for International Patent Application No. PCT/US13/75349, filed Dec. 16, 2013 (10 pages).
International Search Report and Written Opinion mailed on Mar. 19, 2014, for International Patent Application No. PCT/US2013/076587, filed Dec. 19, 2013 (10 pages).
International Search Report and Written Opinion mailed on Mar. 19, 2014, for International Patent Application No. PCT/US2013/076909, filed Dec. 20, 2013 (7 pages).
International Search Report and Written Opinion mailed on Mar. 7, 2014, for International Patent Application No. PCT/US2013/076304, filed Dec. 18, 2013 (9 pages).
International Search Report and Written Opinion mailed on Mar. 7, 2014, for International Patent Application No. PCT/US2013/076480, filed Dec. 19, 2013 (8 pages).
International Search Report and Written Opinion mailed on Mar. 7, 2014, for International Patent Application No. PCT/US2013/076512, filed Dec. 19, 2013 (8 pages).
International Search Report and Written Opinion mailed on Mar. 7, 2014, for International Patent Application No. PCT/US2013/076531, filed Dec. 19, 2013 (10 pages).
Jakobovits et al., 1993, Analysis of homozygous mutant chimeric mice:deletion of the immunoglobulin heavy-chain joining region blocks B-cell development and antibody production, PNAS USA 90:2551-255.
Jakobovits et al., 1993, Germ-line transmission and expression of a human-derived yeast artificial chromosome, Nature 362:255-258.
Jang et al., 2002, Visualization of Coronary Atherosclerotic Plaques in Patients Using Optical Coherence Tomography: Comparison With Intravascular Ultrasound, Journal of the American College of Cardiology 39:604-609.
Jiang et al., 1992, Image registration of multimodality 3-D medical images by chamfer matching, Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, 356-366.
Johnson et al., 1993, Human antibody engineering: Current Opinion in Structural Biology, 3:564-571.
Jones et al., 1986, Replacing the complementarity-determining regions in a human antibody with those from a mouse, Nature, 321:522-525.
Juviler et al., 2008, Anorectal sepsis and fistula-in-ano, Surgical Technology International, 17:139-149.
Karapatis et al., 1998, Direct rapid tooling:a review of current research, Rapid Prototyping Journal, 4(2):77-89.
Karp et al., 2009, The benefit of time-of-flight in PET imaging, J Nucl Med 49:462-470.
Kelly et al., 2005, Detection of Vascular Adhesion Molecule-1 Expression Using a Novel Multimodal Nanoparticle, Circulation Research 96:327-336.
Kemp et al., 2005, Depth Resolved Optic Axis Orientation in Multiple Layered Anisotropic Tissues Measured with Enhanced Polarization Sensitive Optical Coherence Tomography, Optics Express 13(12):4507-4518.
Kersey et al., 1991, Polarization insensitive fiber optic Michelson interferometer, Electron. Lett. 27:518-520.
Kheir et al., 2012, Oxygen Gas-Filled Microparticles Provide Intravenous Oxygen Delivery, Science Translational Medicine 4(140):140ra88 (10 pages).
Khuri-Yakub et al., 2011, Capacitive micromachined ultrasonic transducers for medical imaging and therapy, J Micromech Microeng. 21(5):054004-054014.
Kirkman, 1991, Technique for flow reduction in dialysis access fistulas, Surg Gyn Obstet, 172(3):231-3.
Kohler et al., 1975, Continuous cultures of fused cells secreting antibody of predefined specificity, Nature, 256:495-7.
Koo et al., 2011, Diagnosis of IschemiaCausing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms, J Am Coll Cardiol 58(19):1989-1997.
Kozbor et al., 1984, A human hybrid myeloma for production of human monoclonal antibodies, J. Immunol., 133:3001-3005.
Kruth et al., 2003, Lasers and materials in selective laser sintering, Assembly Automation, 23(4):357-371.
Kumagai et al., 1994, Ablation of polymer films by a femtosecond high-peak-power Ti:sapphire laser at 798 nm, Applied Physics Letters, 65(14):1850-1852.
Larin et al., 2002, Noninvasive Blood Glucose Monitoring with Optical Coherence Tomography: a pilot study in human subjects, Diabetes Care, 25(12):2263-7.
Larin et al., 2004, Measurement of Refractive Index Variation of Physiological Analytes using Differential Phase OCT, Proc of SPIE 5325:31-34.
Laufer, 1996, Introduction to Optics and Lasers in Engineering, Cambridge University Press, Cambridge UK:156-162.
Lefevre et al., 2001, Stenting of bifurcation lesions:a rational approach, J. Interv. Cardiol., 14(6):573-585.
Li et al., 2000, Optical Coherence Tomography: Advanced Technology for the Endoscopic Imaging of Barrett's Esophagus, Endoscopy, 32(12):921-930.
Abdi et al., 2010, Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics 2:433-459.
Adler et al., 2007, Phase-Sensitive Optical Coherence Tomography at up to 370,000 Lines Per Second Using Buffered Fourier Domain Mode-Locked Lasers, Optics Letters, 32(6):626-628.
Agresti, 1996, Models for Matched Pairs, Chapter 8, An Introduction to Categorical Data Analysis, Wiley-Interscience A John Wiley & Sons, Inc., Publication, Hoboken, New Jersey.
Akasheh et al., 2004, Development of piezoelectric micromachined ultrasonic transducers, Sensors and Actuators A Physical, 111:275-287.
Amini et al., 1990, Using dynamic programming for solving variational problems in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(9):855-867.
Bail et al., 1996, Optical coherence tomography with the “Spectral Radar”—Fast optical analysis in volume scatterers by short coherence interferometry, Optics Letters 21(14):1087-1089.
Bain, 2011, Privacy protection and face recognition, Chapter 3, Handbook of Face Recognition, Stan et al., Springer-Verlag.
Barnea et al., 1972, A class of algorithms for fast digital image registration, IEEE Trans. Computers, 21(2):179-186.
Blanchet et al., 1993, Laser Ablation and the Production of Polymer Films, Science, 262(5134):719-721.
Bonnema, 2008, Imaging Tissue Engineered Blood Vessel Mimics with Optical Tomography, College of Optical Sciences dissertation, University of Arizona (252 pages).
Bouma et al., 1999, Power-efficient nonreciprocal interferometer and linear-scanning fiber-optic catheter for optical coherence tomography, Optics Letters, 24(8):531-533.
Breiman, 2001, Random forests, Machine Learning 45:5-32.
Brown, 1992, A survey of image registration techniques, ACM Computing Surveys 24(4):325-376.
Bruining et al., 2009, Intravascular Ultrasound Registration/Integration with Coronary Angiography, Cardiology Clinics, 27(3):531-540.
Brummer, 1997, An euclidean distance measure between covariance matrices of speechcepstra for text-independent speaker recognition, in Proc. South African Symp. Communications and Signal Processing:167-172.
Burr et al., 2005, Searching for the Center of an Ellipse in Proceedings of the 17th Canadian Conference on Computational Geometry:260-263.
Canny, 1986, A computational approach to edge detection, IEEE Trans. Pattern Anal. Mach. Intell. 8:679-698.
Cavalli et al., 2010, Nanosponge formulations as oxygen delivery systems, International Journal of Pharmaceutics 402:254-257.
Choma et al., 2003, Sensitivity Advantage of Swept Source and Fourier Domain Optical Coherence Tomography, Optics Express 11(18):2183-2189.
Clarke et al., 1995, Hypoxia and myocardial ischaemia during peripheral angioplasty, Clinical Radiology, 50(5):301-303.
Collins, 1993, Coronary flow reserve, British Heart Journal 69:279-281.
Communication Mechanisms for Distributed Real-Time Applications, NI Developer Zone, http://zone.ni.eom/devzone/cda/tut/p/id/3105, accessed Jul. 23, 2007.
Cook, 2007, Use and misuse of receiver operating characteristic curve in risk prediction, Circulation 115(7):928-35.
D'Agostino et al., 2001, Validation of the Framingham coronary heart disease prediction score: results of a multiple ethnic group investigation, JAMA 286:180-187.
David et al., 1974, Protein iodination with solid-state lactoperoxidase, Biochemistry 13:1014-1021.
Davies et al., 1985, Plaque fissuring—the cause of acute myocardial infarction, sudden ischaemic death, and crescendo angina, British Heart Journal 53:363-373.
Davies et al., 1993, Risk of thrombosis in human atherosclerotic plaques: role of extracellular lipid, macrophage, and smooth muscle cell content, British Heart Journal 69:377-381.
Deterministic Data Streaming in Distributed Data Acquisition Systems, NI Developer Zone, “What is Developer Zone?”, http://zone.ni.eom/devzone/cda/tut/p/id/3105, accessed Jul. 23, 2007.
Eigenwillig, 2008, K-Space Linear Fourier Domain Mode Locked Laser and Applications for Optical Coherence Tomography, Optics Express 16(12):8916-8937.
Elghanian et al., 1997, Selective colorimetric detection of polynucleotides based on the distance-dependent optical properties of gold nanoparticles, Science, 277(5329):1078-1080.
Ergun et al., 2003, Capacitive Micromachined Ultrasonic Transducers:Theory and Technology, Journal of Aerospace Engineering, 16(2):76-84.
Evans et al., 2006, Optical coherence tomography to identify intramucosa carcinoma and high-grade dysplasia in Barrett's esophagus, Clin Gast Hepat 4(1):38-43.
Fatemi et al., 1999, Vibro-acoustography: an imaging modality based on ultrasound-stimulated acoustic emission, PNAS U.S.A., 96(12):6603-6608.
Felzenszwalb et al., 2005, Pictorial Structures for Object Recognition, International Journal of Computer Vision, 61(1):55-79.
Ferring et al., 2008, Vasculature ultrasound for the pre-operative evaluation prior to arteriovenous fistula formation for haemodialysis: review of the evidence, Nephrol. Dial. Transplant. 23(6):1809-1815.
Fischler et al., 1973, The representation and matching of pictorial structures, IEEE Transactions on Computer 22:67-92.
Fleming et al., 2010, Real-time monitoring of cardiac radio-frequency ablation lesion formation using an optical coherence tomography forward-imaging catheter, Journal of Biomedical Optics 15 (3):030516-1 (3 pages).
Fookes et al., 2002, Rigid and non-rigid image registration and its association with mutual information:A review, Technical Report ISBN:1 86435 569 7, RCCVA, QUT.
Forstner & Moonen, 1999, A metric for covariance matrices, In Technical Report of the Dpt of Geodesy and Geoinformatics, Stuttgart University, 113-128.
Goel et al., 2006, Minimally Invasive Limited Ligation Endoluminal-assisted Revision (MILLER) for treatment of dialysis access-associated steal syndrome, Kidney Int 70(4):765-70.
Gotzinger et al., 2005, High speed spectral domain polarization sensitive optical coherence tomography of the human retina, Optics Express 13(25):10217-10229.
Gould et al., 1974, Physiologic basis for assessing critical coronary stenosis, American Journal of Cardiology, 33:87-94.
Griffiths et al., 1993, Human anti-self antibodies with high specificity from phage display libraries, The EMBO Journal, 12:725-734.
Griffiths et al., 1994, Isolation of high affinity human antibodies directly from large synthetic repertoires, The EMBO Journal, 13(14):3245-3260.
Grund et al., 2010, Analysis of biomarker data:logs, odds, ratios and ROC curves, Curr Opin HIV AIDS 5(6):473-479.
Harrison et al., 2011, Guidewire Stiffness: What's in a name?, J Endovasc Ther, 18(6):797-801.
Huber et al., 2005, Amplified, Frequency Swept Lasers for Frequency Domain Reflectometry and OCT Imaging: Design and Scaling Principles, Optics Express 13(9):3513-3528.
Huber et al., 2006, Fourier Domain Mode Locking (FDML): A New Laser Operating Regime and Applications for Optical Coherence Tomography, Optics Express 14(8):3225-3237.
International Search Report and Written Opinion mailed Mar. 11, 2014, for International Patent Application No. PCT/US13/75675, filed Dec. 17, 2013 (7 pages).
International Search Report and Written Opinion mailed Mar. 19, 2014, for International Patent Application No. PCT/US13/075353, filed Dec. 16, 2013 (8 pages).
Little et al., 1991, The underlying coronary lesion in myocardial infarction:implications for coronary angiography, Clinical Cardiology, 14(11):868-874.
Loo, 2004, Nanoshell Enabled Photonics-Based Imaging and Therapy of Cancer, Technology in Cancer Research & Treatment 3(1):33-40.
Machine translation of JP 2000-097846.
Machine translation of JP 2000-321034.
Machine translation of JP 2000-329534.
Machine translation of JP 2004-004080.
Maintz et al., 1998, An Overview of Medical Image Registration Methods, Technical Report UU-CS, (22 pages).
Mamas et al., 2010, Resting Pd/Pa measured with intracoronary pressure wire strongly predicts fractional flow reserve, Journal of Invasive Cardiology 22(6):260-265.
Marks et al., 1991, By-passing Immunization Human Antibodies from V-gene Libraries Displayed on Phage, J. Mol. Biol. 222:581-597.
Marks et al., 1992, By-Passing Immunization:Building High Affinity Human Antibodies by Chain Shuffling, BioTechnol., 10:779-783.
Maruno et al., 1991, Fluorine containing optical adhesives for optical communications systems, J. Appl. Polymer. Sci. 42:2141-2148.
McCafferty et al., 1990, Phage antibodies: filamentous phage displaying antibody variable domains, Nature 348:552-554.
Mendieta et al., 1996, Complementary sequence correlations with applications to reflectometry studies, Instrumentation and Development 3(6):37-46.
Mickley, 2008, Steal Syndrome-strategies to preserve vascular access and extremity, Nephrol Dial Transplant 23:19-24.
Miller et al., 2010, The MILLER banding procedure is an effective method for treating dialysis-associated steal syndrome, Kidney International 77:359-366.
Milstein et al., 1983, Hybrid hybridomas and their use in immunohistochemistry, Nature 305:537-540.
Mindlin et al., 1936, A force at a point of a semi-infinite solid, Physics, 7:195-202.
Morrison et al., 1984, Chimeric human antibody molecules: mouse antigen-binding domains with human constant region domains, PNAS 81:6851-6855.
Munson et al., 1980, Ligand: a versatile computerized approach for characterization of ligand-binding systems, Analytical Biochemistry, 107:220-239.
Nezam, 2008, High Speed Polygon-Scanner-Based Wavelength-Swept Laser Source in the Telescope-Less Configurations with Application in Optical Coherence Tomography, Optics Letters 33(15):1741-1743.
Nissen, 2001, Coronary Angiography and Intravascular Ultrasound, American Journal of Cardiology, 87 (suppl):15A-20A.
Nitenberg et al., 1995, Coronary vascular reserve in humans: a critical review of methods of evaluation and of interpretation of the results, Eur Heart J. 16(Suppl 1):7-21.
Notice of Reason(s) for Refusal dated Apr. 30, 2013, for Japanese Patent Application No. 2011-508677 for Optical Imaging Catheter for Aberation Balancing to Volcano Corporation, which application is a Japanese national stage entry of PCT/US2009/043181 with international filing date May 7, 2009, of the same title, published on Nov. 12, 2009, as WO 2009/137704, and accompanying English translation of the Notice of Reason(s) for Refusal and machine translations of JP11-56786 and JP2004-290548 (56 pages).
Nygren, 1982, Conjugation of horseradish peroxidase to Fab fragments with different homobifunctional and heterobifunctional cross-linking reagents. A comparative study, J. Histochem. and Cytochem. 30:407-412.
Oesterle et al., 1986, Angioplasty at coronary bifurcations: single-guide, two-wire technique, Cathet Cardiovasc Diagn., 12:57-63.
Okuno et al., 2003, Recent Advances in Optical Switches Using Silica-based PLC Technology, NTT Technical Review 1(7):20-30.
Oldenburg et al., 1998, Nanoengineering of Optical Resonances, Chemical Physics Letters 288:243-247.
Oldenburg et al., 2003, Fast-Fourier-Domain Delay Line for In Vivo Optical Coherence Tomography with a Polygonal Scanner, Applied Optics, 42(22):4606-4611.
Othonos, 1997, Fiber Bragg gratings, Review of Scientific Instruments 68(12):4309-4341.
Owens et al., 2007, A Survey of General-Purpose Computation on Graphics Hardware, Computer Graphics Forum 26(1):80-113.
Pain et al., 1981, Preparation of protein A-peroxidase mono conjugate using a heterobifunctional reagent, and its use in enzyme immunoassays, J Immunol Methods, 40:219-30.
Park et al., 2005, Real-time fiber-based multi-functional spectral-domain optical coherence tomography at 1.3 um., Optics Express 13(11):3931-3944.
Pasquesi et al., 2006, In vivo detection of exercise induced ultrastructural changes in genetically-altered murine skeletal muscle using polarization-sensitive optical coherence tomography, Optics Express 14(4):1547-1556.
Pepe et al., 2004, Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker, American Journal of Epidemiology 159(9):882-890.
Persson et al., 1985, Acoustic impedance matching of medical ultrasound transducers, Ultrasonics, 23(2):83-89.
Placht et al., 2012, Fast time-of-flight camera based surface registration for radiotherapy patient positioning, Medical Physics 39(1):4-17.
Rabbani et al., 1999, Review: Strategies to achieve coronary arterial plaque stabilization, Cardiovascular Research 41:402-417.
Radvany et al., 2008, Plaque Excision in Management of Lower Extremity Peripheral Arterial Disease with the SilverHawk Atherectomy Catheter, Seminars in Interventional Radiology, 25(1):11-19.
Reddy et al., 1996, An FFT-Based Technique for Translation, Rotation, and Scale-Invariant Image Registration, IEEE Transaction on Image Processing 5(8):1266-1271.
Riechmann et al., 1988, Reshaping human antibodies for therapy, Nature, 332:323-327.
Rivers et al., 1992, Correction of steal syndrome secondary to hemodialysis access fistulas: a simplified quantitative technique, Surgery, 112(3):593-7.
Robbin et al., 2002, Hemodialysis Arteriovenous Fistula Maturity: US Evaluation, Radiology 225:59-64.
Rollins et al., 1998, In vivo video rate optical coherence tomography, Optics Express 3:219-229.
Sarunic et al., 2005, Instantaneous Complex Conjugate Resolved Spectral Domain and Swept-Source OCT Using 3×3 Fiber Couplers, Optics Express 13(3):957-967.
Satiani et al., 2009, Predicted Shortage of Vascular Surgeons in the United States, J. Vascular Surgery 50:946-952.
Schneider et al., 2006, T-banding: A technique for flow reduction of a hyper-functioning arteriovenous fistula, J Vase Surg. 43(2):402-405.
Sen et al., 2012, Development and validation of a new adenosine-independent index of stenosis severity from coronary wave-intensity analysis, Journal of the American College of Cardiology 59(15):1392-1402.
Setta et al., 2005, Soft versus firm embryo transfer catheters for assisted reproduction: a systematic review and meta-analysis, Human Reproduction, 20(11):3114-3121.
Seward et al., 1996, Ultrasound Cardioscopy: Embarking on New Journey, Mayo Clinic Proceedings 71(7):629-635.
Shen et al., 2006, Eigengene-based linear discriminant model for tumor classification using gene expression microarray data, Bioinformatics 22(21):2635-2642.
Related Publications (1)
Number Date Country
20140176963 A1 Jun 2014 US
Provisional Applications (1)
Number Date Country
61740104 Dec 2012 US