Unless otherwise specified herein, all patents, publications and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.
The present invention relates generally to imaging techniques, and more particularly to ultrasound imaging, and still more particularly to systems and methods for calibration and quality assurance measurement of ultrasound probes, particularly probes having multiple apertures.
In conventional ultrasonic imaging, a focused beam of ultrasound energy is transmitted into body tissues to be examined and the returned echoes are detected and plotted to form an image. While ultrasound has been used extensively for diagnostic purposes, conventional ultrasound has been greatly limited by depth of scanning, speckle noise, poor lateral resolution, obscured tissues and other such problems.
Significant improvements have been made in the field of ultrasound imaging with the creation of multiple aperture imaging, examples of which are shown and described in Applicant's U.S. Pat. No. 8,007,439 issued Aug. 30, 2011 and titled “Method and Apparatus to Produce Ultrasonic Images Using Multiple Apertures”; U.S. Pat. No. 9,146,313 issued Sep. 29, 2015, titled “Point Source Transmission and Speed-Of-Sound Correction Using Multiple-Aperture Ultrasound Imaging”; and U.S. patent application Ser. No. 12/760,375, filed Apr. 14, 2010, titled “Universal Multiple Aperture Medical Ultrasound Probe,” all three of which are incorporated herein by reference. Multiple aperture imaging methods and systems allow for ultrasound signals to be both transmitted and received from separate apertures.
One problem with multiple aperture imaging is that it can be difficult to know the exact position of the elements of a large apparatus with multiple and separate physical points of contact (“footprints”) on the patient. It is desirable for each element position to be known to within 1/10 wavelength (for example, 0.03 mm at 3 MHz). In contrast, with conventional ultrasound probes, regardless of array vertical displacement or integration (e.g., 1.5D or 2D), there has never been a need to solve alignment and position issues between multiple arrays or multiple individual elements. The calibration methods and apparatuses described herein teach how to solve these problems for Universal Multiple Aperture ultrasound probes.
In general, in one aspect, a method of calibrating an ultrasound probe includes mounting an ultrasound probe onto a calibration system, transmitting an ultrasound test signal from an element of the probe through a test medium of the calibration system, receiving the test signal at a first hydrophone of the calibration system at a first time; receiving the test signal at a second hydrophone of the calibration system at a second time, receiving the test signal at a third hydrophone of the calibration system at a third time, and determining an acoustic position of the element based upon differences in the first time, the second time, and the third time.
This and other embodiments may include one or more of the following features.
The elements can be part of an array having a plurality of elements, and the method can further include repeating the transmitting, receiving, and determining steps for at least one additional element in the array. The transmitting, receiving, and determining steps can be performed for every element in the array. The transmitting, receiving, and determining steps can be performed for less than all of the elements in the array, and the method can further include interpolating acoustic positions of all remaining elements. The probe can include a plurality of distinct arrays, and the transmitting, receiving, and determining steps can be performed for at least two elements in each array. The plurality of arrays can be separated by physical space. At least one array can be non-planar with respect to another array.
The first, second, and third hydrophones can be part of a first line of hydrophones and fourth, fifth, and sixth hydrophones can be part of a second line that is parallel to the first line, and the method can further include receiving the test signal on all six hydrophones and determining an x, y, and z position of the element based on differences of arrival times at each hydrophone. Further, there can be a third line of two or more hydrophones that is transverse to the first and second lines, and the method can further include computing the angle of transmission of the element based upon the position of maximum levels of energy received on any of the hydrophones.
The method can further include storing the determine position of the element in a memory chip on the probe. The method can further include overwriting position data stored in a memory chip with the determined position.
The method can further include establishing a tank coordinate system relative to the first, second, or third hydrophone. The method can further include determining a position of every element of the probe relative to the tank coordinate system. The method can further include establishing a probe coordinate system relative to an element of the probe. The method can further include rotating or translating all of the determined positions to the probe coordinate system. The position can be determined relative to a Cartesian coordinate system.
The method can further include storing the determined position in memory and retrieving the stored position during imaging or image processing.
The method can further include transmitting an ultrasound test signal from a fourth hydrophone to the first, second, or third hydrophone to verify the operation of the first, second, or third hydrophone.
In general, in one aspect, a method of determining functionality of an ultrasound probe can include mounting an ultrasound probe onto a calibration system, transmitting an ultrasound signal between a hydrophone of the calibration system and an element of the probe, the transmitting occurring through test medium of the calibration system; and determining an acoustic performance of the element.
This and other embodiments can include one or more of the following features.
The test signal can be transmitted from the hydrophone and received by the element. The test signal can be transmitted from the element and received by the hydrophone.
The element can be part of an array having a plurality of elements, and the method can further include repeating the transmitting, receiving, and determining steps for at least one additional element in the array. The probe can include a plurality of distinct arrays, and the transmitting, receiving, and determining steps can be performed for at least one element of each array.
The test signal can be transmitted by the first, second, or third hydrophone and received by a fourth hydrophone to verify signal performance.
The determined acoustic performance can be stored and transmitted electronically to report probe performance to service providers and end users.
In general, in one aspect, a system for calibrating an ultrasound probe includes a tank substantially filled with a test medium, a dock attached to the tank, and a plurality of hydrophones. The dock is configured to hold an ultrasound probe. The plurality of hydrophones are arranged in a matrix along a wall of the tank opposite the dock.
This and other embodiments can include one or more of the following features.
The system can further include a controller configured to send an ultrasound signal from an element of the probe through the test medium to first, second, and third hydrophones of the plurality of hydrophones, and the controller can be further configured to determine an acoustic position of the element based upon differences in times that the signal is received at the first, second, and third hydrophones.
The system can further include the probe, and the probe can include at least two arrays separated by a physical space, and the dock can be configured so as to hold at least one of the arrays at a non-orthogonal angle with respect to the hydrophone matrix. The probe can include a calibration memory chip configured to store data obtained by the calibration system.
The dock can be configured to conform to the ultrasound probe shape. The dock can be configured such that, when the probe is positioned in the dock, the probe is directly adjacent to the test medium. The material of the dock can have substantially the same speed of sound as the test medium.
The matrix can include a first row of hydrophones, a second row of hydrophones parallel to the first row of hydrophones, and a third row of hydrophones transverse to the first and second rows.
The system can further include a calibrator hydrophone located on a wall of the tank separate from the wall along which the plurality of hydrophone receivers are arranged.
The following disclosure provides embodiments of calibration systems and related operation methods for calibrating ultrasound imaging probes, and particularly multiple aperture ultrasound imaging (MAUI) probes. Embodiments herein also provide systems and methods for operating such a calibration system for various purposes relating to quality assurance of the probes.
In some embodiments, a calibrating system may be configured to identify the location of each and every individual element in an ultrasound probe to a high degree of accuracy and precision. In probes having multiple arrays of transducer elements, a calibration system may be configured to identify the location and/or orientation of individual arrays. In other embodiments, a calibration system may be configured to identify the location of only selected elements of one or more arrays. In some embodiments, the location of elements and/or arrays may be determined in a three dimensional space such as a given X, Y, and Z coordinate system. In other embodiments, the location of elements and/or arrays may be determined in only two dimensions, such as an X, Y coordinate system which may correspond to an imaging plane of the probe.
As used herein, references to the “exact” or “precise” position of transducer elements (and similar terms) may imply a relatively tight tolerance. For example, in some embodiments ultrasound probe calibration systems and methods may provide information describing the acoustic position of each transducer element in an array to within a distance of a fraction of a wavelength of ultrasound being used. In some embodiments, the acoustic position of transducer elements may be determined to within 1/10 of a wavelength. In other embodiments, the acoustic position of transducer elements may be determined to within a tolerance of less than 1/10 of a wavelength. In some embodiments, such as for calibrating a standard (i.e., single aperture) ultrasound probe, much looser tolerances may also be used, provided that such tolerances meet the needs of a particular system.
The simplest multi-aperture system consists of two apertures, as shown in
Referring to
Another multi-aperture system is shown
The Multiple Aperture Ultrasonic Imaging methods described herein are dependent on a probe apparatus that allows the position of every element to be known and reports those positions to any new apparatus the probe becomes attached.
An aspect of the omni-probe apparatus includes returning echoes from a separate relatively non-directional receive transducer 310 and 410 located away from the insonifying probe transmit transducer 320 and 420, and the non-directional receive transducer can be placed in a different acoustic window from the insonifying probe. The omni-directional probe can be designed to be sensitive to a wide field of view for this purpose.
The echoes detected at the omni-probe may be digitized and stored separately. If the echoes detected at the omni-probe (310 in
In
In this illustration, transmitted energy is coming from an element or small group of elements in Aperture 2620 and reflected off of scatterer 670 to all other elements in all the apertures. Therefore, the total width 690 of the received energy is extends from the outermost element of Aperture 1610 to the outmost element of Aperture 2630.
Some embodiments described herein include a precision carrier for the proper alignment of a universal multiple aperture ultrasound transducer. Referring to
Referring back to
Alternative apparatus and methods for constructing and aligning multi-aperture ultrasound probes will now be discussed. Variations in the ultrasound beam displacement or rotation of both the insonifying and receiving probes about the x, y and z axes are preferably detected and corrected to achieve the best image quality. A MAUI alignment fixture for aligning a multi-aperture probe uses one or more precision angular alignment controls, precision stage assemblies that provide for the adjustment, in 6 degrees of freedom of the each array under test.
One factor in making multi-aperture imaging systems is the importance of precisely aligning the elements of the multiple arrays. It is well recognized that by increasing the effective aperture of a probe system by including more than one probe head and using the elements of all of the probes to render an image, the lateral resolution of the image can be greatly improved. In order to render an image, the relative positions of all of the elements are preferably known precisely. In some embodiments, if the probe system has position and rotation adjustments, a display is provided to position all of the elements to be in the same plane of scan and to transmit or receive in the same plane of scan.
In
A precision alignment stage assembly is shown in
As used herein, calibration of an ultrasound probe may involve determining the acoustic position of each individual ultrasound element in a probe with a desired degree of precision relative to some known coordinate system. The basic technique for aligning and calibrating a multiple aperture probe can be seen with reference to
As used herein, the term “hydrophone” is used in a generic sense and refers to any instrument capable of accurately receiving and transducing ultrasound waves into electronic signals. In some embodiments, hydrophones may also be used to transmit ultrasound signals. Thus, in some embodiments, hydrophones may comprise piezoelectric transducer arrays, or any other suitable technology. The term “hydrophone” is generally used herein to refer to ultrasound receiving and/or transmitting instruments attached to a calibration system, as distinct from the transducer elements and arrays of ultrasound imaging probes to be calibrated.
As shown in
In use, the probe can be attached to a signal generator configured to excite any of the transducer elements to transmit ultrasonic pulses. An ultrasonic signal is transmitted which exhibits good autocorrelation properties (e.g., a long frequency sweep, or ‘chirp’ waveform, a short (wideband) pulse, a spread spectrum waveform, etc) from at least one element in arrays 1710, 1720 and 1730. The transmitted ultrasound signal can travel through the test block and be received by the receiving hydrophone transducer elements 2091, 2092, 2093, 2094, 2095, 2096 and the transverse hydrophone 2086. It is important to note that detection of the ultrasonic signal or pulse as received by the hydrophone arrays cannot be detected accurately enough by cross correlation with the signal impressed on the probe element because the probe element itself distorts the signal.
Two innovative techniques are used to obtain the needed accuracy in finding the relative time delays and hence the relative distances. The first technique is to use cross correlation between the signal received at one element of the hydrophone (for example 2091) and the signal received at another element of the same hydrophone (for example 2093). The correlation peak will yield the time difference and thus the distance difference.
The second technique is to interpolate between samples of the received waveforms to obtain better time resolution than simply the sampling interval. Perhaps the best way to accomplish both of these tasks is to take the Fourier transform of both signals, fill in zeros for the high frequency components of a much larger transform. Call these larger transforms FFT1 and FFT2. Then find the peak of the inverse transform of (FFT1*(conjugate of FFT2)).
A third technique may be used to convert differential distances to total distance. Consider the triangle bce in
For the following analysis, the hydrophones 2094, 2095 and 2096 are preferably on the same line and on a parallel line to that formed by 2091, 2092 and 2093. The distance between 2094 and 2095 is designated d and the distance between 2095 and 2096 is designated d3. d1 and d3 are preferably known precisely as this becomes the reference “yardstick” for the other measurements. 2095 should be roughly centered between 2094 and 2096 LN, but d1 does not need to equal d3. The same is true for R0, RC, and RN.
Let d2 be the reference distance and define measured distances as:
d2m=d2−d2=0
d0m=d0−d2
d4m=d4−d2
From the law of cosines we have
d42=d22+d32−2d3d2 cos α
d02=d22+d2−2d1d2 cos(π−α)=d22+d2+2d1d2 cos α
cos α=(d42−d22−d32)/(−2d3d2)=(d02−d22−d12)/(2d1d2)
d42−d22−d32=−(d02−d22−d2)d3/d1
(d4m+d2)2−d22−d32+(d0m+d2)2d3/d1−d22d3/d1−d1d3=0
Combining and canceling terms this becomes
d2=(−d4m2+d32−d2d3/d+d1d3)/(2d4m+2d0md3/d1)
Then d0=d0m+d2 and d4=d4m+d2.
Thus we have the full measurements from received differential times.
Two parallel “yardsticks” or right and left hydrophones are provided in the bottom of the tank in order to measure position along the z axis (i.e., the axis perpendicular to the scan plane), as illustrated in
Referring now to
Now from trigonometry, distance a=(d02−d42+(d1+d3)2)/(2(d1+d3))
The position along the x′ axis is d1−a.
Assuming that the element is midway between the two yardsticks, then the position along the y′ axis is sqrt((d02−a2−(zr/2)2)).
Initially considerable error may occur as a result of this assumption, but the measurement of z will allow for adjustment of the element or the entire probe assembly until this assumption is satisfied.
Again referring to
Advantageously, by having two hydrophone arrays or “yardsticks,” the z axis can be measured, i.e., the position of the elements in or out of the scan plane. Then the array alignment apparatus can display it (see
In some embodiments, the right and left hydrophone arrays may be used to measure an acoustic position of a test element along the z axis; i.e., the test element's position in or out of the scan plane. In some embodiments, following such a measurement the calibration system may display and/or automatically correct an alignment of the probe within the docking area of the calibration system. In other embodiments, the calibration system may direct an operator to manually adjust an alignment of the probe.
The z variable may be proportional to the distance d2 as computed from the hydrophones on track 845 minus the distance d2 as computed from the hydrophones on track 875 in
In other embodiments in which the probe element cannot be mechanically centered between the two tracks, the z position can be computed. This is particularly true for 1.5D probes and 2D probes where it is not possible to position all elements simultaneously to a central position. In these cases, the acoustic position of elements along the z axis may be stored in the calibration table along with x and y coordinates as discussed above.
The value of z can be computed through a straightforward trigonometric calculation as illustrated in
Let m=the distance d2 as computed from the hydrophones on track 845 and let n=the distance d2 as computed from the hydrophones on track 875.
Let w indicate half the known distance between the two tracks.
n2=(w−z)2+y2
m2=(w+z)2+y2
then n2=(w−z)2+m2−(w+z)2
and z=(m2−n2)/4w.
In some embodiments, the transverse hydrophone array may be used to determine an angular displacement of a probe test element. In some embodiments, such information may be used to direct automatic or manual re-positioning of the probe. In alternative embodiments, such information may be incorporated into stored calibration data.
In some embodiments, a controller, such as a computer, can scan and find the maximum signal strength on the transverse hydrophone 2086 and record the angular displacement for the probe element.
To use the multiple aperture array alignment apparatus as a daily calibrator, multiple aperture ultrasound transducers may already be fully assembled, such as the embodiment illustrated in
The transmit synchronization module 2202 is not related to calibration, but may be used to identify the start of pulse when the probe is used as an add-on device with a host machine transmitting. The probe displacement sensor 2203 can be an accelerometer or gyroscope that senses the three dimensional movement of the probe. During calibration, the probe should be securely attached to the array alignment apparatus so that the probe is still. The calibration system may then compare information from the position sensor of the probe with information from the position sensor of the calibration tank 122 to determine whether the probe is properly aligned.
Referring now to
Each small square, such as 2305, 2306, 2307, 2308, 2309, 2310 and 2011, is the position of a probe element in the x-z plane. In this example there are six small squares indicating the positions of the end elements of three probe heads. However, the positions of more or fewer elements could be displayed in this way. The thin horizontal lines 2312, 2313, 2314, 2315, 2316, 2317 and 2018 represent the directivity and angular spread of each element as detected on the multi-axis hydrophone. A useful angular spread measure is the number of hydrophone elements on the transverse hydrophone array which record signal strength greater or equal to half of the maximum strength.
Finally,
Adjustments of the probe position and angulation with the precision alignment stage assembly or assemblies should continue until all of the small squares and all of the horizontal lines are aligned on the center vertical line as closely as practicable, ensuring in alignment in the z axis. As this is done, the x and y positions will be computed accurately and no separate iteration will be required for these.
In some manufacturing formats, arrays 2406 could be loaded into an automated precision stage assembly like the one in
Using the precision stage assemblies with the array alignment system is only part of the value of the system.
To calibrate a probe, MAUI electronic apparatus can send a test pattern to the arrays in the probe to transmit to the hydrophone assembly 2085. When the positions of the probes and their directivities are reported as a result of the sequence, the positions of all of the elements can be downloaded to a file specific to that probe. Each file may be stored in the probe calibration chip 2201. The calibration chip may report element positions in x, y and z axes to every MAUI electronic apparatus it connects to, and therefore can perform multiple aperture imaging without recalibrating before use with a different MAUI apparatus. The calibration chip memory can also be used to analyze probe performance and reliability.
In the special case in which all of the transmit and receive elements are aligned in the same plane or are manufactured so that there is no adjustment in z position, a simplified alignment fixture can be used. Instead of two parallel “yardsticks” of hydrophones, a single yardstick can be used. In this case the probe would be centered over the single yardstick using a plumb bob or a clamping device. The x and y measurements would then be made assuming z=0 and zr=0. This is possible since accuracy in the value of z is much less critical in beamforming than is accuracy in the values of x and y. Thus adjusting z by the relatively crude methods of sighting with a plumb bob or clamping to a machined edge of the probe can be acceptable in spite of the high accuracy demands for measurement of x and y. Obviously, the cost of this simplified fixture would be much reduced resulting in a fixture which could be used in the field rather just in the probe assembly factory.
Embodiments below provide further systems and methods for calibrating ultrasound imaging probes as well as systems and methods for testing quality assurance characteristics of ultrasound imaging probes. Although the following embodiments are shown and described with reference to multiple aperture ultrasound imaging (MAUI) probes, the skilled artisan will recognize that many features of the systems and methods described may also be applied to ultrasound probes of any configuration where it is desirable to determine the acoustic position or the health of one or more ultrasound transducer elements in an ultrasound probe.
As discussed above and with further reference to
Embodiments of the systems and methods herein may quantify both transmitted and received ultrasonic pulses and use the information obtained to identify the acoustic position of single transducer elements and/or full arrays of transducer elements. Further, embodiments of the systems and methods herein may also quantify the “health” of probe elements. The “health” of a probe element may refer to a number of factors including transmitting and receiving efficiency of probe elements, element sensitivity, and electronic functionality.
Probes with multiple aperture arrays may be properly aligned during production as discussed above. However, regularly recalibrating an ultrasound probe throughout the life of the probe as opposed to only during manufacturing can allow for high quality imaging over a long period of time without requiring the probe to be returned to a manufacturer or repair facility. To address these needs, a calibration system may be provided to accompany probes into the field. In some embodiments, a calibration system may be attached to or integrally formed with an ultrasound control panel. In some embodiments, a calibration system may include a tank in the shape of an open-topped box with a mounting portion in a top section of the box for holding a probe in a calibration orientation and a plurality of receivers at a bottom of the box for receiving ultrasound signals transmitted from the probe.
By providing a calibration system as an attachment to an ultrasound imaging system, the calibration system becomes easily accessible to operators. In some embodiments, the calibration system may serve as a probe storage location for holding probes not in use. In some embodiments, a plurality of imaging probes of different configurations may be stored in the calibration system. Probes may then be selectively calibrated according to a calibration process, thus making a wide range of probe designs readily available for imaging. Moreover, adjustable multiple aperture probes may be re-configured into a different shape and then recalibrated for each patient.
Referring to
As shown in
In some embodiments, a matrix of ultrasonic sensors or hydrophones 230 may be attached to the bottom of the tank 122. The matrix of hydrophones 230 can function similar to the multi-axis hydrophone 2085 described above. It is desirable for the calibration tank 122 to be configured such that an entire ultrasound path between the probe and all receivers is occupied by a material with a consistent and known speed of sound. Thus, similar to the tank 2012 described above, the tank 122 may be filled by a filler 210 made of a liquid, gel or solid material with a consistent and known speed of sound. The filler 210 may be any material that is desirable for manufacture and safety considerations. The speed of sound through the filler 210 should be known precisely in order to accurately calculate the distance traveled by any given ultrasound pulse during a calibration process. In one embodiment, the filler 210 is made of a relatively rigid ballistics gel. The filler 210 can occupy substantially all of the tank 122. In some embodiments, the filler occupies most of the tank 122 except for a top layer which may be reserved for a docking area 220 configured for receiving an ultrasound probe to be calibrated.
In some embodiments, the docking area 220 may be an empty void which may be filled with a liquid or gel which may conform to a shape of a probe to be calibrated such as the illustrated multiple aperture probe 370. In other embodiments, the docking area 220 may include a molded piece of ballistics gel (or other suitable material) configured to conform to the shape of a probe to be calibrated. Preferably, the material used in the docking area 220 has substantially the same speed of sound as the filler material 210. In other embodiments, the docking area and/or the entire filler may comprise a flexible bladder filled with a suitable liquid or gel material. In some embodiments, the probe and/or the docking area may be coated with an ultrasound coupling gel as will be clear to the skilled artisan.
For the best results, probes should be substantially immobile during all calibration and quality testing. To reduce error the calibration system 120 may be equipped with a mechanical docking device configured to hold the probe(s) in a substantially rigid and consistent position. Referring to
In other embodiments, accelerometers, gyroscopes or other position sensors within the probe may be used to inform an operator of proper or improper positioning of a probe within a docking area of a calibration system. In some embodiments, corresponding position sensors (e.g., gyroscopes, accelerometers or other sensors) may be provided in or on the calibration tank. A calibration system may then compare information from the position sensor of the probe with information from the position sensor of the calibration tank 120 to determine whether the probe is properly aligned for calibration.
Other embodiments, as shown for example in
In some embodiments, the dock may be configured such that the ultrasound probe may be stored in the dock when not in use. The user or operator can then optionally calibrate the probe prior to removing the probe from the dock.
In some embodiments, one or more temperature sensors may be provided and configured to measure a temperature of the filler 210. As discussed above, the temperature of the filler material 210 is used to calculate the acoustic position of transducer elements in a probe during calibration. Thus, in some embodiments, a plurality of temperature sensors (e.g., thermocouples, thermistors, optical thermal imaging systems, etc.) may be positioned throughout the tank to obtain enough measurements to determine an average temperature of the filler 210 at any given time. In other embodiments, a single temperature sensor may be sufficient.
In some embodiments, a hydrophone matrix 230 such as that shown in
In some embodiments, the hydrophone matrix 230 may act as a target when the probe is firing. In some embodiments, hydrophone elements selected to be detectors to may depend on the size, shape and orientation of the probe to be calibrated. In some embodiments, such calibration process details may be stored in the calibration chip or another data store in communication with the calibration system electronics.
Ultrasound transducer elements or arrays of elements are typically cut from a common crystal wafer (e.g., of a piezoelectric crystal) to form 1D, 1.5D and 2D arrays. Alternatively, some ultrasound elements may be printed or machined into a micromachined lattice structure to form an array called a Capacitive Micromachined Ultrasonic Transducer (CMUT) array.
In the case of conventional 1D and 1.5D phased array probes, the position of the elements is often roughly determined by the size of the cuts inside the crystal wafer upon initial manufacture. Referring to
Once an ultrasound probe is firmly mounted in the docking area of the calibration system, a calibration process may be initiated. In some embodiments, a calibration process may be initiated by a user pressing a button (e.g., 140 in
In some embodiments, the calibration system may be configured to determine the acoustic position of transducer elements relative to a single array of which an individual test element is a part. For example, in the case of a multiple aperture probe such as that shown in
A further calibration process may then be employed to detect the position of one full array relative to another, thereby providing information describing the relative positions of the three coordinate systems. In such an embodiment, test signals may be transmitted from elements at opposite ends or corners of each array to be located relative to other arrays. This may allow for the measurement of the length, acoustic center and 3-dimensional orientation of each array relative to other arrays in a probe containing multiple arrays. For example, the position and orientation of a planar transducer array may be determined by identifying the three-dimensional location of a sufficient number of array elements to define the orientation of the array's planar surface. In some embodiments, three elements may be sufficient to define the plane of an array. In other embodiments, several or all elements may be located to define the orientation of the array's plane. In some embodiments, information describing the orientation of a planar array may be stored along with other calibration data. Such embodiments may be especially useful when calibrating adjustable probes which may contain two or more physically separate arrays which are free to move relative to one another.
In some embodiments, the calibration system can be configured to transmit a new test signal to the hydrophone matrix from every element of the probe such that the acoustic location of every element of the probe can be determined. In other embodiments, a test signal can be sent from only a few of the probe elements, such as two probe elements in an array, and the remaining locations can be determined through interpolation.
Many transmit pulse patterns may be used in the step of transmitting an ultrasound test signal from a test element. In some embodiments, an ultrasonic test signal may be transmitted which exhibits good autocorrelation properties. In some embodiments, such a test signal may comprise a long frequency sweep, a ‘chirp’ waveform, a spread spectrum waveform, a ‘ping’, a pseudorandom sequence, or another suitable pattern. In some embodiments, a test signal may be selected to require minimal computational complexity.
As will be clear to the skilled artisan in view of the discussion herein, the only directly measurable ultrasound parameter in the calibration system is the time delay between transmission of a test signal from a probe test element and receipt of the test signal at each hydrophone element. Based on these time delays, known speed of sound through the filler material, and known physical geometry of the calibration system, the position of a test element may be calculated.
It is important to note that in many cases, a test element may distort the timing of a transmitted signal. Thus, in some embodiments, it may be desirable to perform time delay measurements without relying on a presumed “transmit time” as determined by a time of sending an electrical signal to a transducer element. In such embodiments, the total distance traveled by an ultrasound test signal may be determined by using only the speed of sound and the difference between the time at which the test signal is received at a first hydrophone element and a time-of-receipt of the test signal at a second hydrophone element.
Multiple techniques, such as those described above with reference to
Referring to
In some embodiments, position measurements may be translated from the coordinate system 260 with an origin relative to the hydrophones matrix to a coordinate system 380 with an origin located on the probe itself, as shown in
With a conventional array, a transmit pulse from a transmitting element to a reflector is easily calculated back to a given receive element. Assuming a constant speed of sound, the positions in a conventional matrix or linear array are mechanically assumed so that transmit and receive paths can be easily computed. In multiple aperture imaging it is important to determine the position of each element relative to the position of any other element(s) in a known space such as a Cartesian X, Y, and Z coordinate system illustrated in
As will be clear to the skilled artisan, the origin of a coordinate system may be centered at any element, or at any other point on or off of the probe. Additionally, the calibration system need not necessarily use a Cartesian coordinate system; any suitable coordinate system may be used, provided that such a coordinate system gives accurate information about the position of transducer elements.
The information obtained through calibration as well as the new coordinate system may then be compared to original element position information for the probe, as well as any previous calibration data. In some embodiments, this information may be tracked over time to better understand the properties of the probe elements and the probes as they are used. In some embodiments, this time-series calibration information may be stored and/or analyzed in an ultrasound imaging system, a remote server system, or any other suitable computing system.
During manufacturing, each MAUI transducer may be properly aligned and calibrated according to the type of crystal matrix used. The initial coordinate system and calibration may then be programmed into a memory chip 310, which can be set in the handle of the probe as shown in
In some embodiments, calibration data for a probe may be stored in a location other than the probe itself. It is generally desirable for calibration data to be associated specifically with the probe it describes, but such information may be stored in any practical physical location. For example, in some embodiments, a probe may have an ID chip which carries substantially only an identification number which may be used to retrieve a unique calibration record stored in a remote (e.g., internet-accessible) database, in an ultrasound imaging system, or any other location. In some embodiments, communications systems may also be provided to allow for logging of calibration data into an ultrasound imaging system data log, and/or sending to a service provider and/or providing an operator with an appropriate on screen notification.
Each probe may have a unique element coordinate table which may be permanently associated with the probe, and which may be updated in subsequent calibration processes. In some embodiments, the calibration data overwrites calibration data previously stored in the memory. Overwriting advantageously ensures that updated data is constantly available, even in systems with small amounts of available memory.
In some embodiments, probes may be recalibrated and data stored as many times as desired by an operator, technician, or manufacturer.
The stored coordinate table may be used by ultrasound imaging system electronics in order improve the quality of ultrasound images generated using the calibrated probe. In one embodiment, the updated position data can be used during imaging, e.g., the stored data can be used as an input in an algorithm used to generate an image from a multiple aperture ultrasound imaging system. In another embodiment, the stored coordinate table can be used in post-image processing, i.e., the stored data can be used to decode stored image data or raw echo data.
Instruments of any kind used in the field on a daily basis will typically suffer from general wear and tear. To better understand the degradation of ultrasound transducers over time, as well as to obtain regular feedback pertaining to the general functionality of the probe, the calibration system may also be configured to perform general quality assurance functions. In some embodiments, the calibration system may test both the transmitting and receiving functions of the probe, report operational capabilities to the sonographer and send probe functionality data and repair requests to the service provider.
In some embodiments, the quality assurance test may be performed before each calibration so that the information obtained can be used to more accurately calibrate the probe. In some embodiments, after securing a probe in a docking area of the calibration system, a quality assurance test sequence may be manually or automatically initiated. For example, in some embodiments, the quality assurance test may be initiated via a button on the control panel. In some embodiments, a quality assurance test sequence may comprise three stages: The first stage will be referred to as hydrophone verification, the second stage will be referred to as an element transmit test and the third will be referred to as an element receive test.
In some embodiments, an additional self-test hydrophone 240 may be mounted to a side wall near the top of the tank 122 for use in quality assurance testing. The self-test hydrophone 240 and corresponding control electronics may be configured to check the position and function of the hydrophones of the main hydrophone matrix 230 in order to ensure proper calibration of the calibration system. In one embodiment the self-test hydrophone 240 may be located in the top of the tank 122 along the centerline of the hydrophone matrix 230. In other embodiments, a self-test hydrophone 240 may be positioned at any other location within the tank suitable for performing the described functions. In a process similar to the process for calibrating ultrasound probe elements, the self-test hydrophone 240 may send and receive ultrasound pulses to the main calibration hydrophones 230 and then use this information to ensure the hydrophones 230 are functioning properly and accurately.
Each hydrophone of the main hydrophone matrix 230 may also transmit a self-test signal to be received by the self-calibrator hydrophone 240. The process may be similar to those described elsewhere herein for the calibration and quality assurance testing of ultrasound probe elements. The proper functioning and exact location of the hydrophone elements is very important for the best possible calibration of the probes.
In some embodiments, the hydrophone verification stage may ensure that information obtained from the hydrophones is accurate. As shown in
In some embodiments, a quality assurance transmit test may be designed to test the transmit strength, efficiency and/or effectiveness of each transducer element of an ultrasound probe. A QA transmit test may begin by exciting a test transducer element with a precise electrical signal to cause the transducer to transmit ultrasonic pulses. The transmit test signal may have any shape and frequency as desired, preferably with good autocorrelation properties as discussed above with reference to calibration test embodiments.
The test signals may then be received by one or more hydrophone elements. The received frequency may then be transformed by the hydrophone transducer into specific amplitudes of electrical charge. From the resulting charges obtained by the hydrophones, the calibration system may determine whether a received signal has expected properties based on the electrical signal input to the test element. After testing all test elements, the calibration system may determine which test elements fall below an average transmitting capability and which fail to fire at all. This information may be obtained by comparing the amplitudes created by each test signal and then identifying which elements fall below the mean and by how much. In some embodiments, QA transmit test result data may be stored in a calibration chip within a probe or in any other suitable location. In some embodiments, an absolute value of a mean transmit strength may also be stored and analyzed over time to evaluate the long term health of a probe.
In some embodiments, a quality assurance receive test may evaluate the receiving capabilities of each probe element in a similar (but opposite) process. In some embodiments, a calibration hydrophone (230 or 240) may transmit a precise ultrasonic test signal pulse or pulses of a known frequency. Each probe element may then receive the test signal and transform it into an electrical charge with a specific amplitude. The electric charges or amplitudes of the receiving probe elements may then be compared relative to each other and to any previous receive test data. Much like the transmitting test elements that are receiving poorly or not converting the ultrasonic pulses at all may fall out of tolerance. The average of the element receiving pulse amplitudes compared over time may indicate the degradation of elements. As above, test data may be logged, stored, and analyzed over time.
In some embodiments an ultrasound system operator/technician may be provided with information about quality assurance calibration and test data resulting from the above processes. In some embodiments, a service provider and/or probe manufacturer may also be informed of calibration and/or test data, e.g., when elements are underperforming or no longer transmitting or receiving. This information can be used to decide when to schedule probe repairs or when a probe should be replaced. Compensation for elements which are no longer firing, or for the adjustment of transmit amplitude and receive gain of any particular element may then be done internally to the electronics of an ultrasound imaging system (e.g., MAUI electronics in the case of a multiple aperture ultrasound imaging system).
Although many of the embodiments of ultrasound probe calibration and quality assurance testing systems and methods are shown and described with reference to multiple aperture ultrasound imaging probes, these systems and methods can also be applied to single aperture ultrasound imaging systems.
Terms such as “optimized,” “optimum,” “precise,” “exact” and similar terms used in relation to quantitative parameters are merely intended to indicate design parameters which may be controlled or varied in accordance with general engineering principles, and may involve a compromise based on the balancing of competing design factors. Use of these terms is not intended to imply or require that the parameters or components thereof are designed for the best possible or theoretical performance.
The above disclosure is sufficient to enable one of ordinary skill in the art to practice the invention, and provides the best mode of practicing the invention presently contemplated by the inventor. While there is provided herein a full and complete disclosure of the preferred embodiments of this invention, it is not desired to limit the invention to the exact construction, dimensional relationships, and operation shown and described. Various modifications, alternative constructions, changes and equivalents will readily occur to those skilled in the art and may be employed, as suitable, without departing from the true spirit and scope of the invention. Such changes might involve alternative materials, components, structural arrangements, sizes, shapes, forms, functions, operational features or the like.
This is a continuation of U.S. patent application Ser. No. 15/044,932, filed Feb. 16, 2016, now U.S. Pat. No. 10,206,662, which is a continuation of U.S. patent application Ser. No. 13/279,110, filed Oct. 21, 2011, now U.S. Pat. No. 9,282,945, which is a continuation-in-part of U.S. patent application Ser. No. 12/760,327, filed Apr. 14, 2010, now U.S. Pat. No. 8,473,239, which claims the benefit of U.S. Provisional Patent Application No. 61/169,200, filed Apr. 14, 2009, titled “Alignment and Fixturing of the Universal Multiple Aperture Medical Ultrasound Transducer”. All of the above referenced patents and applications are incorporated herein by reference in their entireties. This application is relevant to Applicant's co-owned patent applications including U.S. patent application Ser. No. 12/760,375, filed Apr. 14, 2010, titled “Universal Multiple Aperture Medical Ultrasound Probe”, published Oct. 14, 2010 as U.S Patent Publication No. 2010-0262013, and U.S. Provisional Patent Application No. 61/392,896, filed Oct. 13, 2010, titled “Multiple Aperture Medical Ultrasound Transducers.” All of the above referenced patents and applications are incorporated herein by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
3174286 | Erickson | Mar 1965 | A |
3895381 | Kock | Jul 1975 | A |
3974692 | Hassler | Aug 1976 | A |
4055988 | Dutton, Jr. | Nov 1977 | A |
4072922 | Taner | Feb 1978 | A |
4097835 | Green | Jun 1978 | A |
4105018 | Greenleaf | Aug 1978 | A |
4180792 | Lederman | Dec 1979 | A |
4259733 | Taner | Mar 1981 | A |
4265126 | Papadofrangakis | May 1981 | A |
4271842 | Specht | Jun 1981 | A |
4325257 | Kino | Apr 1982 | A |
4327738 | Green | May 1982 | A |
4333474 | Nigam | Jun 1982 | A |
4339952 | Foster | Jul 1982 | A |
4452084 | Taenzer | Jun 1984 | A |
4501279 | Seo | Feb 1985 | A |
4511998 | Kanda | Apr 1985 | A |
4539847 | Paap | Sep 1985 | A |
4566459 | Umemura | Jan 1986 | A |
4567768 | Satoh | Feb 1986 | A |
4604697 | Luthra | Aug 1986 | A |
4662222 | Johnson | May 1987 | A |
4669482 | Ophir | Jun 1987 | A |
4682497 | Sasaki | Jul 1987 | A |
4781199 | Hirama | Nov 1988 | A |
4817434 | Anderson | Apr 1989 | A |
4831601 | Breimesser | May 1989 | A |
4893284 | Magrane | Jan 1990 | A |
4893628 | Angelsen | Jan 1990 | A |
4990462 | Sliwa, Jr. | Feb 1991 | A |
5050588 | Grey | Sep 1991 | A |
5141738 | Rasor | Aug 1992 | A |
5161536 | Vilkomerson | Nov 1992 | A |
5197475 | Antich | Mar 1993 | A |
5226019 | Bahorich | Jul 1993 | A |
5230339 | Charlebois | Jul 1993 | A |
5269309 | Fort | Dec 1993 | A |
5278757 | Hoctor | Jan 1994 | A |
5293871 | Reinstein | Mar 1994 | A |
5299576 | Shiba | Apr 1994 | A |
5301674 | Erikson | Apr 1994 | A |
5305756 | Entrekin | Apr 1994 | A |
5339282 | Kuhn | Aug 1994 | A |
5340510 | Bowen | Aug 1994 | A |
5345426 | Lipschutz | Sep 1994 | A |
5349960 | Gondo | Sep 1994 | A |
5355888 | Kendall | Oct 1994 | A |
5398216 | Hall | Mar 1995 | A |
5409010 | Beach | Apr 1995 | A |
5442462 | Guissin | Aug 1995 | A |
5454372 | Banjanin | Oct 1995 | A |
5503152 | Oakley | Apr 1996 | A |
5515853 | Smith | May 1996 | A |
5515856 | Olstad | May 1996 | A |
5522393 | Phillips | Jun 1996 | A |
5526815 | Granz | Jun 1996 | A |
5544659 | Banjanin | Aug 1996 | A |
5558092 | Unger | Sep 1996 | A |
5564423 | Mele | Oct 1996 | A |
5568812 | Murashita | Oct 1996 | A |
5570691 | Wright | Nov 1996 | A |
5581517 | Gee | Dec 1996 | A |
5625149 | Gururaja | Apr 1997 | A |
5628320 | Teo | May 1997 | A |
5673697 | Bryan | Oct 1997 | A |
5675550 | Ekhaus | Oct 1997 | A |
5720291 | Schwartz | Feb 1998 | A |
5720708 | Lu | Feb 1998 | A |
5744898 | Smith | Apr 1998 | A |
5769079 | Hossack | Jun 1998 | A |
5784334 | Sena | Jul 1998 | A |
5785654 | Iinuma | Jul 1998 | A |
5795297 | Daigle | Aug 1998 | A |
5797845 | Barabash | Aug 1998 | A |
5798459 | Ohba | Aug 1998 | A |
5820561 | Olstad | Oct 1998 | A |
5838564 | Bahorich | Nov 1998 | A |
5850622 | Vassiliou | Dec 1998 | A |
5862100 | VerWest | Jan 1999 | A |
5870691 | Partyka | Feb 1999 | A |
5876342 | Chen | Mar 1999 | A |
5891038 | Seyed-Bolorforosh | Apr 1999 | A |
5892732 | Gersztenkorn | Apr 1999 | A |
5916169 | Hanafy | Jun 1999 | A |
5919139 | Lin | Jul 1999 | A |
5920285 | Benjamin | Jul 1999 | A |
5930730 | Marfurt | Jul 1999 | A |
5940778 | Marfurt | Aug 1999 | A |
5951479 | Holm | Sep 1999 | A |
5964707 | Fenster | Oct 1999 | A |
5969661 | Benjamin | Oct 1999 | A |
5999836 | Nelson | Dec 1999 | A |
6007499 | Martin | Dec 1999 | A |
6013032 | Savord | Jan 2000 | A |
6014473 | Hossack | Jan 2000 | A |
6048315 | Chiao | Apr 2000 | A |
6049509 | Sonneland | Apr 2000 | A |
6050943 | Slayton | Apr 2000 | A |
6056693 | Haider | May 2000 | A |
6058074 | Swan | May 2000 | A |
6077224 | Lang | Jun 2000 | A |
6092026 | Bahorich | Jul 2000 | A |
6122538 | Sliwa, Jr. | Sep 2000 | A |
6123670 | Mo | Sep 2000 | A |
6129672 | Seward | Oct 2000 | A |
6135960 | Holmberg | Oct 2000 | A |
6138075 | Yost | Oct 2000 | A |
6148095 | Prause | Nov 2000 | A |
6162175 | Marian, Jr. | Dec 2000 | A |
6166384 | Dentinger | Dec 2000 | A |
6166853 | Sapia | Dec 2000 | A |
6193665 | Hall | Feb 2001 | B1 |
6196739 | Silverbrook | Mar 2001 | B1 |
6200266 | Shokrollahi | Mar 2001 | B1 |
6210335 | Miller | Apr 2001 | B1 |
6213958 | Winder | Apr 2001 | B1 |
6221019 | Kantorovich | Apr 2001 | B1 |
6231511 | Bae | May 2001 | B1 |
6238342 | Feleppa | May 2001 | B1 |
6246901 | Benaron | Jun 2001 | B1 |
6251073 | Imran | Jun 2001 | B1 |
6264609 | Herrington | Jul 2001 | B1 |
6266551 | Osadchy | Jul 2001 | B1 |
6278949 | Alam | Aug 2001 | B1 |
6289230 | Chaiken | Sep 2001 | B1 |
6299580 | Asafusa | Oct 2001 | B1 |
6304684 | Niczyporuk | Oct 2001 | B1 |
6309356 | Ustuner | Oct 2001 | B1 |
6324453 | Breed | Nov 2001 | B1 |
6345539 | Rawes | Feb 2002 | B1 |
6361500 | Masters | Mar 2002 | B1 |
6363033 | Cole | Mar 2002 | B1 |
6370480 | Gupta | Apr 2002 | B1 |
6374185 | Taner | Apr 2002 | B1 |
6394955 | Perlitz | May 2002 | B1 |
6423002 | Hossack | Jul 2002 | B1 |
6436046 | Napolitano | Aug 2002 | B1 |
6449821 | Sudol | Sep 2002 | B1 |
6450965 | Williams | Sep 2002 | B2 |
6468216 | Powers | Oct 2002 | B1 |
6471650 | Powers | Oct 2002 | B2 |
6475150 | Haddad | Nov 2002 | B2 |
6480790 | Calvert | Nov 2002 | B1 |
6487502 | Taner | Nov 2002 | B1 |
6499536 | Ellingsen | Dec 2002 | B1 |
6508768 | Hall | Jan 2003 | B1 |
6508770 | Cai | Jan 2003 | B1 |
6517484 | Wilk | Feb 2003 | B1 |
6526163 | Halmann | Feb 2003 | B1 |
6543272 | Vitek | Apr 2003 | B1 |
6547732 | Jago | Apr 2003 | B2 |
6551246 | Ustuner | Apr 2003 | B1 |
6565510 | Haider | May 2003 | B1 |
6585647 | Winder | Jul 2003 | B1 |
6604421 | Li | Aug 2003 | B1 |
6614560 | Silverbrook | Sep 2003 | B1 |
6620101 | Azzam | Sep 2003 | B2 |
6652461 | Levkovitz | Nov 2003 | B1 |
6668654 | Dubois | Dec 2003 | B2 |
6672165 | Rather | Jan 2004 | B2 |
6681185 | Young | Jan 2004 | B1 |
6690816 | Aylward | Feb 2004 | B2 |
6692450 | Coleman | Feb 2004 | B1 |
6695778 | Golland | Feb 2004 | B2 |
6702745 | Smythe | Mar 2004 | B1 |
6719693 | Richard | Apr 2004 | B2 |
6728567 | Rather | Apr 2004 | B2 |
6752762 | DeJong | Jun 2004 | B1 |
6755787 | Hossack | Jun 2004 | B2 |
6780152 | Ustuner | Aug 2004 | B2 |
6790182 | Eck | Sep 2004 | B2 |
6837853 | Marian | Jan 2005 | B2 |
6843770 | Sumanaweera | Jan 2005 | B2 |
6847737 | Kouri | Jan 2005 | B1 |
6854332 | Alleyne | Feb 2005 | B2 |
6932767 | Landry | Aug 2005 | B2 |
7033320 | Von Behren | Apr 2006 | B2 |
7087023 | Daft | Aug 2006 | B2 |
7104956 | Christopher | Sep 2006 | B1 |
7217243 | Takeuchi | May 2007 | B2 |
7221867 | Silverbrook | May 2007 | B2 |
7231072 | Yamano | Jun 2007 | B2 |
7269299 | Schroeder | Sep 2007 | B2 |
7283652 | Mendonca | Oct 2007 | B2 |
7285094 | Nohara | Oct 2007 | B2 |
7313053 | Wodnicki | Dec 2007 | B2 |
7366704 | Reading | Apr 2008 | B2 |
7402136 | Hossack | Jul 2008 | B2 |
7410469 | Talish | Aug 2008 | B1 |
7415880 | Renzel | Aug 2008 | B2 |
7443765 | Thomenius | Oct 2008 | B2 |
7444875 | Wu | Nov 2008 | B1 |
7447535 | Lavi | Nov 2008 | B2 |
7448998 | Robinson | Nov 2008 | B2 |
7466848 | Metaxas | Dec 2008 | B2 |
7469096 | Silverbrook | Dec 2008 | B2 |
7474778 | Shinomura | Jan 2009 | B2 |
7481577 | Ramamurthy | Jan 2009 | B2 |
7491171 | Barthe | Feb 2009 | B2 |
7497828 | Wilk | Mar 2009 | B1 |
7497830 | Li | Mar 2009 | B2 |
7510529 | Chou | Mar 2009 | B2 |
7514851 | Wilser | Apr 2009 | B2 |
7549962 | Dreschel | Jun 2009 | B2 |
7574026 | Rasche | Aug 2009 | B2 |
7625343 | Cao | Dec 2009 | B2 |
7637869 | Sudol | Dec 2009 | B2 |
7668583 | Fegert | Feb 2010 | B2 |
7674228 | Williams | Mar 2010 | B2 |
7682311 | Simopoulos | Mar 2010 | B2 |
7699776 | Walker | Apr 2010 | B2 |
7722541 | Cai | May 2010 | B2 |
7744532 | Ustuner | Jun 2010 | B2 |
7750311 | Daghighian | Jul 2010 | B2 |
7785260 | Umemura | Aug 2010 | B2 |
7787680 | Ahn | Aug 2010 | B2 |
7806828 | Stringer | Oct 2010 | B2 |
7819810 | Stringer | Oct 2010 | B2 |
7822250 | Yao | Oct 2010 | B2 |
7824337 | Abe | Nov 2010 | B2 |
7833163 | Cai | Nov 2010 | B2 |
7837624 | Hossack | Nov 2010 | B1 |
7846097 | Jones | Dec 2010 | B2 |
7850613 | Stribling | Dec 2010 | B2 |
7862508 | Davies | Jan 2011 | B2 |
7876945 | Lotjonen | Jan 2011 | B2 |
7887486 | Ustuner | Feb 2011 | B2 |
7901358 | Mehi | Mar 2011 | B2 |
7914451 | Davies | Mar 2011 | B2 |
7919906 | Cerofolini | Apr 2011 | B2 |
7926350 | Kroning | Apr 2011 | B2 |
7927280 | Davidsen | Apr 2011 | B2 |
7972271 | Johnson | Jul 2011 | B2 |
7984637 | Ao | Jul 2011 | B2 |
7984651 | Randall | Jul 2011 | B2 |
8002705 | Napolitano | Aug 2011 | B1 |
8007439 | Specht | Aug 2011 | B2 |
8057392 | Hossack | Nov 2011 | B2 |
8057393 | Yao | Nov 2011 | B2 |
8079263 | Randall | Dec 2011 | B2 |
8079956 | Azuma | Dec 2011 | B2 |
8088067 | Vortman | Jan 2012 | B2 |
8088068 | Yao | Jan 2012 | B2 |
8088071 | Hwang | Jan 2012 | B2 |
8105239 | Specht | Jan 2012 | B2 |
8135190 | Bae | Mar 2012 | B2 |
8157737 | Zhang | Apr 2012 | B2 |
8182427 | Wu | May 2012 | B2 |
8202219 | Luo | Jun 2012 | B2 |
8277383 | Specht | Oct 2012 | B2 |
8279705 | Choi | Oct 2012 | B2 |
8412307 | Willis | Apr 2013 | B2 |
8419642 | Sandrin | Apr 2013 | B2 |
8473239 | Specht | Jun 2013 | B2 |
8478382 | Burnside | Jul 2013 | B2 |
8532951 | Roy | Sep 2013 | B2 |
8582848 | Funka-Lea | Nov 2013 | B2 |
8602993 | Specht | Dec 2013 | B2 |
8627724 | Papadopoulos | Jan 2014 | B2 |
8634615 | Brabec | Jan 2014 | B2 |
8672846 | Napolitano | Mar 2014 | B2 |
8684936 | Specht | Apr 2014 | B2 |
9072495 | Specht | Jul 2015 | B2 |
9146313 | Specht | Sep 2015 | B2 |
9192355 | Smith | Nov 2015 | B2 |
9220478 | Smith | Dec 2015 | B2 |
9247926 | Smith | Feb 2016 | B2 |
9265484 | Brewer | Feb 2016 | B2 |
9282945 | Smith | Mar 2016 | B2 |
9339256 | Specht | May 2016 | B2 |
9420994 | Specht | Aug 2016 | B2 |
9510806 | Smith | Dec 2016 | B2 |
9526475 | Specht | Dec 2016 | B2 |
10206662 | Smith | Feb 2019 | B2 |
10267913 | Smith | Apr 2019 | B2 |
20020035864 | Paltieli | Mar 2002 | A1 |
20020087071 | Schmitz | Jul 2002 | A1 |
20020111568 | Bukshpan | Aug 2002 | A1 |
20020138003 | Bukshpan | Sep 2002 | A1 |
20020161299 | Prater | Oct 2002 | A1 |
20030013962 | Bjaerum | Jan 2003 | A1 |
20030028111 | Vaezy | Feb 2003 | A1 |
20030040669 | Grass | Feb 2003 | A1 |
20030228053 | Li | Dec 2003 | A1 |
20040054283 | Corey | Mar 2004 | A1 |
20040068184 | Trahey | Apr 2004 | A1 |
20040100163 | Baumgartner | May 2004 | A1 |
20040111028 | Abe | Jun 2004 | A1 |
20040122313 | Moore | Jun 2004 | A1 |
20040122322 | Moore | Jun 2004 | A1 |
20040127793 | Mendlein | Jul 2004 | A1 |
20040138565 | Trucco | Jul 2004 | A1 |
20040144176 | Yoden | Jul 2004 | A1 |
20040236217 | Cerwin | Nov 2004 | A1 |
20040236223 | Barnes | Nov 2004 | A1 |
20050004449 | Mitschke | Jan 2005 | A1 |
20050053305 | Li | Mar 2005 | A1 |
20050054910 | Tremblay | Mar 2005 | A1 |
20050090743 | Kawashima | Apr 2005 | A1 |
20050090745 | Steen | Apr 2005 | A1 |
20050111846 | Steinbacher | May 2005 | A1 |
20050113689 | Gritzky | May 2005 | A1 |
20050113694 | Haugen | May 2005 | A1 |
20050124883 | Hunt | Jun 2005 | A1 |
20050131300 | Bakircioglu | Jun 2005 | A1 |
20050147297 | McLaughlin | Jul 2005 | A1 |
20050165312 | Knowles | Jul 2005 | A1 |
20050203404 | Freiburger | Sep 2005 | A1 |
20050215883 | Hundley | Sep 2005 | A1 |
20050240125 | Makin | Oct 2005 | A1 |
20050252295 | Fink | Nov 2005 | A1 |
20050281447 | Moreau-Gobard | Dec 2005 | A1 |
20050288588 | Weber | Dec 2005 | A1 |
20060062447 | Rinck | Mar 2006 | A1 |
20060074313 | Slayton | Apr 2006 | A1 |
20060074315 | Liang | Apr 2006 | A1 |
20060074320 | Yoo | Apr 2006 | A1 |
20060079759 | Vaillant | Apr 2006 | A1 |
20060079778 | Mo | Apr 2006 | A1 |
20060079782 | Beach | Apr 2006 | A1 |
20060094962 | Clark | May 2006 | A1 |
20060111634 | Wu | May 2006 | A1 |
20060122506 | Davies | Jun 2006 | A1 |
20060173327 | Kim | Aug 2006 | A1 |
20060262961 | Holsing | Nov 2006 | A1 |
20060270934 | Savord | Nov 2006 | A1 |
20070016022 | Blalock | Jan 2007 | A1 |
20070016044 | Blalock | Jan 2007 | A1 |
20070036414 | Georgescu | Feb 2007 | A1 |
20070055155 | Owen | Mar 2007 | A1 |
20070078345 | Mo | Apr 2007 | A1 |
20070088213 | Poland | Apr 2007 | A1 |
20070138157 | Dane | Jun 2007 | A1 |
20070161898 | Hao | Jul 2007 | A1 |
20070161904 | Urbano | Jul 2007 | A1 |
20070167752 | Proulx | Jul 2007 | A1 |
20070167824 | Lee | Jul 2007 | A1 |
20070232914 | Chen | Oct 2007 | A1 |
20070238985 | Smith | Oct 2007 | A1 |
20070242567 | Daft | Oct 2007 | A1 |
20080110261 | Randall | May 2008 | A1 |
20080110263 | Klessel | May 2008 | A1 |
20080112265 | Urbano | May 2008 | A1 |
20080114241 | Randall | May 2008 | A1 |
20080114245 | Randall | May 2008 | A1 |
20080114246 | Randall | May 2008 | A1 |
20080114247 | Urbano | May 2008 | A1 |
20080114248 | Urbano | May 2008 | A1 |
20080114249 | Randall | May 2008 | A1 |
20080114250 | Urbano | May 2008 | A1 |
20080114251 | Weymer | May 2008 | A1 |
20080114252 | Randall | May 2008 | A1 |
20080114253 | Randall | May 2008 | A1 |
20080114255 | Schwartz | May 2008 | A1 |
20080125659 | Wilser | May 2008 | A1 |
20080181479 | Yang | Jul 2008 | A1 |
20080183075 | Govari | Jul 2008 | A1 |
20080188747 | Randall | Aug 2008 | A1 |
20080188750 | Randall | Aug 2008 | A1 |
20080194957 | Hoctor | Aug 2008 | A1 |
20080194958 | Lee | Aug 2008 | A1 |
20080194959 | Wang | Aug 2008 | A1 |
20080208061 | Halmann | Aug 2008 | A1 |
20080242996 | Hall | Oct 2008 | A1 |
20080249408 | Palmeri | Oct 2008 | A1 |
20080255452 | Entrekin | Oct 2008 | A1 |
20080269604 | Boctor | Oct 2008 | A1 |
20080269613 | Summers | Oct 2008 | A1 |
20080275344 | Glide-Hurst | Nov 2008 | A1 |
20080285819 | Konofagou | Nov 2008 | A1 |
20080287787 | Sauer | Nov 2008 | A1 |
20080294045 | Ellington | Nov 2008 | A1 |
20080294050 | Shinomura | Nov 2008 | A1 |
20080294052 | Wilser | Nov 2008 | A1 |
20080306382 | Guracar | Dec 2008 | A1 |
20080306386 | Baba | Dec 2008 | A1 |
20080319317 | Kamiyama | Dec 2008 | A1 |
20090010459 | Garbini | Jan 2009 | A1 |
20090012393 | Choi | Jan 2009 | A1 |
20090016163 | Freeman | Jan 2009 | A1 |
20090018445 | Schers | Jan 2009 | A1 |
20090024039 | Wang | Jan 2009 | A1 |
20090036780 | Abraham | Feb 2009 | A1 |
20090043206 | Towfiq | Feb 2009 | A1 |
20090048519 | Hossack | Feb 2009 | A1 |
20090069681 | Lundberg | Mar 2009 | A1 |
20090069686 | Daft | Mar 2009 | A1 |
20090069692 | Cooley | Mar 2009 | A1 |
20090099483 | Rybyanets | Apr 2009 | A1 |
20090112095 | Daigle | Apr 2009 | A1 |
20090131797 | Jeong | May 2009 | A1 |
20090143680 | Yao | Jun 2009 | A1 |
20090148012 | Altmann | Jun 2009 | A1 |
20090150094 | Van Velsor | Jun 2009 | A1 |
20090182237 | Angelsen | Jul 2009 | A1 |
20090198134 | Hashimoto | Aug 2009 | A1 |
20090203997 | Ustuner | Aug 2009 | A1 |
20090208080 | Grau | Aug 2009 | A1 |
20090259128 | Stribling | Oct 2009 | A1 |
20090264760 | Lazebnik | Oct 2009 | A1 |
20090306510 | Hashiba | Dec 2009 | A1 |
20090326379 | Daigle | Dec 2009 | A1 |
20100010354 | Skerl | Jan 2010 | A1 |
20100016725 | Thiele | Jan 2010 | A1 |
20100063397 | Wagner | Mar 2010 | A1 |
20100063399 | Walker | Mar 2010 | A1 |
20100069751 | Hazard | Mar 2010 | A1 |
20100069756 | Ogasawara | Mar 2010 | A1 |
20100106431 | Baba | Apr 2010 | A1 |
20100109481 | Buccafusca | May 2010 | A1 |
20100121193 | Fukukita | May 2010 | A1 |
20100121196 | Hwang | May 2010 | A1 |
20100130855 | Lundberg | May 2010 | A1 |
20100168566 | Bercoff | Jul 2010 | A1 |
20100168578 | Garson, Jr. | Jul 2010 | A1 |
20100174194 | Chiang | Jul 2010 | A1 |
20100191110 | Insana | Jul 2010 | A1 |
20100217124 | Cooley | Aug 2010 | A1 |
20100228126 | Emery | Sep 2010 | A1 |
20100240994 | Zheng | Sep 2010 | A1 |
20100249570 | Carson | Sep 2010 | A1 |
20100249596 | Magee | Sep 2010 | A1 |
20100256488 | Kim | Oct 2010 | A1 |
20100262013 | Smith | Oct 2010 | A1 |
20100266176 | Masumoto | Oct 2010 | A1 |
20100268503 | Specht | Oct 2010 | A1 |
20100286525 | Osumi | Nov 2010 | A1 |
20100286527 | Cannon | Nov 2010 | A1 |
20100310143 | Rao | Dec 2010 | A1 |
20100324418 | El-Aklouk | Dec 2010 | A1 |
20100324423 | El-Aklouk | Dec 2010 | A1 |
20100329521 | Beymer | Dec 2010 | A1 |
20110005322 | Ustuner | Jan 2011 | A1 |
20110016977 | Guracar | Jan 2011 | A1 |
20110021920 | Shafir | Jan 2011 | A1 |
20110021923 | Daft | Jan 2011 | A1 |
20110033098 | Richter | Feb 2011 | A1 |
20110044133 | Tokita | Feb 2011 | A1 |
20110066030 | Yao | Mar 2011 | A1 |
20110098565 | Masuzawa | Apr 2011 | A1 |
20110112400 | Emery | May 2011 | A1 |
20110112404 | Gourevitch | May 2011 | A1 |
20110125017 | Ramamurthy | May 2011 | A1 |
20110270088 | Shiina | Nov 2011 | A1 |
20110301470 | Sato | Dec 2011 | A1 |
20110306886 | Daft | Dec 2011 | A1 |
20110319764 | Okada | Dec 2011 | A1 |
20120004545 | Ziv-Ari | Jan 2012 | A1 |
20120035482 | Kim | Feb 2012 | A1 |
20120036934 | Kroning | Feb 2012 | A1 |
20120057428 | Specht | Mar 2012 | A1 |
20120085173 | Papadopoulos | Apr 2012 | A1 |
20120095347 | Adam | Apr 2012 | A1 |
20120101378 | Lee | Apr 2012 | A1 |
20120114210 | Kim | May 2012 | A1 |
20120116226 | Specht | May 2012 | A1 |
20120121150 | Murashita | May 2012 | A1 |
20120137778 | Kitazawa | Jun 2012 | A1 |
20120141002 | Urbano | Jun 2012 | A1 |
20120165670 | Shi | Jun 2012 | A1 |
20120179044 | Chiang | Jul 2012 | A1 |
20120226201 | Clark | Sep 2012 | A1 |
20120235998 | Smith-Casern | Sep 2012 | A1 |
20120243763 | Wen | Sep 2012 | A1 |
20120253194 | Tamura | Oct 2012 | A1 |
20120265075 | Pedrizzetti | Oct 2012 | A1 |
20120277585 | Koenig | Nov 2012 | A1 |
20130070062 | Fouras | Mar 2013 | A1 |
20130076207 | Krohn | Mar 2013 | A1 |
20130079639 | Hoctor | Mar 2013 | A1 |
20130083628 | Qiao | Apr 2013 | A1 |
20130088122 | Krohn | Apr 2013 | A1 |
20130116561 | Rothberg | May 2013 | A1 |
20130131516 | Katsuyama | May 2013 | A1 |
20130144165 | Ebbini | Jun 2013 | A1 |
20130144166 | Specht | Jun 2013 | A1 |
20130204136 | Duric | Aug 2013 | A1 |
20130204137 | Roy | Aug 2013 | A1 |
20130253325 | Call | Sep 2013 | A1 |
20130258805 | Hansen | Oct 2013 | A1 |
20130261463 | Chiang | Oct 2013 | A1 |
20140043933 | Belevich | Feb 2014 | A1 |
20140058266 | Call | Feb 2014 | A1 |
20140073921 | Specht | Mar 2014 | A1 |
20140086014 | Kobayashi | Mar 2014 | A1 |
20140243673 | Anand | Aug 2014 | A1 |
20150045668 | Smith | Feb 2015 | A1 |
20150080727 | Specht | Mar 2015 | A1 |
20160095579 | Smith | Apr 2016 | A1 |
20160135783 | Brewer | May 2016 | A1 |
20160157833 | Smith | Jun 2016 | A1 |
20160256134 | Specht | Sep 2016 | A1 |
20160354059 | Specht | Dec 2016 | A1 |
20190175152 | Smith | Jun 2019 | A1 |
Number | Date | Country |
---|---|---|
101190134 | Jun 2008 | CN |
102018533 | Apr 2011 | CN |
102123668 | Jul 2011 | CN |
1949856 | Jul 2008 | EP |
2058796 | May 2009 | EP |
2101191 | Sep 2009 | EP |
2182352 | May 2010 | EP |
2198785 | Jun 2010 | EP |
1757955 | Nov 2010 | EP |
2325672 | May 2011 | EP |
1462819 | Jul 2011 | EP |
2356941 | Aug 2011 | EP |
1979739 | Oct 2011 | EP |
2385391 | Nov 2011 | EP |
2294400 | Feb 2012 | EP |
2453256 | May 2012 | EP |
1840594 | Jun 2012 | EP |
2514368 | Oct 2012 | EP |
1850743 | Dec 2012 | EP |
1594404 | Sep 2013 | EP |
2026280 | Oct 2013 | EP |
2851662 | Aug 2004 | FR |
54-44375 | Apr 1979 | JP |
55-103839 | Aug 1980 | JP |
57-31848 | Feb 1982 | JP |
58223059 | Dec 1983 | JP |
59-101143 | Jun 1984 | JP |
59-174151 | Oct 1984 | JP |
60-13109 | Jan 1985 | JP |
60-68836 | Apr 1985 | JP |
2-501431 | May 1990 | JP |
03126443 | May 1991 | JP |
04017842 | Jan 1992 | JP |
4-67856 | Mar 1992 | JP |
05042138 | Feb 1993 | JP |
6-125908 | May 1994 | JP |
7-051266 | Feb 1995 | JP |
7-204201 | Aug 1995 | JP |
08252253 | Oct 1996 | JP |
9-103429 | Apr 1997 | JP |
9-201361 | Aug 1997 | JP |
2777197 | May 1998 | JP |
10216128 | Aug 1998 | JP |
11089833 | Apr 1999 | JP |
11239578 | Sep 1999 | JP |
2001507794 | Jun 2001 | JP |
2001245884 | Sep 2001 | JP |
2002209894 | Jul 2002 | JP |
2002253548 | Sep 2002 | JP |
2002253549 | Sep 2002 | JP |
2004167092 | Jun 2004 | JP |
2004215987 | Aug 2004 | JP |
2004337457 | Dec 2004 | JP |
2004351214 | Dec 2004 | JP |
2005152187 | Jun 2005 | JP |
2005-523792 | Aug 2005 | JP |
2005-526539 | Sep 2005 | JP |
2006051356 | Feb 2006 | JP |
2006-61203 | Mar 2006 | JP |
2006122657 | May 2006 | JP |
2006130313 | May 2006 | JP |
2007325937 | Dec 2007 | JP |
2008122209 | May 2008 | JP |
2008513763 | May 2008 | JP |
2008132342 | Jun 2008 | JP |
2008522642 | Jul 2008 | JP |
2008259541 | Oct 2008 | JP |
2008279274 | Nov 2008 | JP |
2010-5375 | Jan 2010 | JP |
2010124842 | Jun 2010 | JP |
2010526626 | Aug 2010 | JP |
100715132 | Apr 2007 | KR |
1020090103408 | Oct 2009 | KR |
WO-9218054 | Oct 1992 | WO |
WO-9800719 | Jan 1998 | WO |
WO-0164109 | Sep 2001 | WO |
WO-2005009245 | Feb 2005 | WO |
WO-2006114735 | Nov 2006 | WO |
WO-2007127147 | Nov 2007 | WO |
WO 2009060182 | May 2009 | WO |
WO-2010095094 | Aug 2010 | WO |
WO-2010139519 | Dec 2010 | WO |
WO-2011004661 | Jan 2011 | WO |
WO-2011057252 | May 2011 | WO |
WO-2011064688 | Jun 2011 | WO |
WO-2011100697 | Aug 2011 | WO |
WO-2011123529 | Oct 2011 | WO |
WO-2012028896 | Mar 2012 | WO |
WO-2012049124 | Apr 2012 | WO |
WO-2012049612 | Apr 2012 | WO |
WO-2012078639 | Jun 2012 | WO |
WO-2012091280 | Jul 2012 | WO |
WO-2012112540 | Aug 2012 | WO |
WO-2012131340 | Oct 2012 | WO |
WO-2012160541 | Nov 2012 | WO |
WO-2013059358 | Apr 2013 | WO |
WO-2013109965 | Jul 2013 | WO |
WO-2013116866 | Aug 2013 | WO |
WO-2013116807 | Aug 2013 | WO |
WO-2013116809 | Aug 2013 | WO |
WO-2013116851 | Aug 2013 | WO |
WO-2013116854 | Aug 2013 | WO |
WO-2013128301 | Sep 2013 | WO |
Entry |
---|
Abeysekera et al.; Alignment and calibration of dual ultrasound transducers using a wedge phantom; Ultrasound in Medicine and Biology; 37(2); pp. 271-279; Feb. 2011. (Year: 2011). |
Arigovindan et al.; Full motion and flow field recovery from echo doppler data; IEEE Transactions on Medical Imaging; 26(1); pp. 31-45; Jan. 2007. (Year: 2007). |
Capineri et al.; A doppler system for dynamic vector velocity maps; Ultrasound in Medicine & Biology; 28(2); pp. 237-248; Feb. 28, 2002. (Year: 2002). |
Carson et al.; Measurement of photoacoustic transducer position by robotic source placement and nonlinear parameter estimation; Biomedical Optics (BiOS); International Society for Optics and Photonics (Year: 2008). |
Chen et al.; Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field; IEEE Transactions on Signal Processing; 50(8); pp. 1843-1854; Aug. 2002 (Year: 2002). |
Chen et al.; Source localization and tracking of a wideband source using a randomly distributed beamforming sensor array; International Journal of High Performance Computing Applications; 16(3); pp. 259-272; Fall 2002. (Year: 2002). |
Cristianini et al.; An Introduction to Support Vector Machines; Cambridge University Press; pp. 93-111; Mar. 2000. Dunmire et al.; A brief history of vector doppler; Medical Imaging 2001; International Society for Optics and Photonics; pp. 200-214; (Year: 2001). |
Du et al.; User parameter free approaches to multistatic adaptive ultrasound imaging; 5th IEEE International Symposium; pp. 1287-1290, May 2008. (Year: 2008). |
Feigenbaum, Harvey, M.D.; Echocardiography; Lippincott Williams & Wilkins; Philadelphia; 5th Ed.; pp. 482, 484; Feb. 1994 (Year: 1994). |
Fernandez et al.; High resolution ultrasound beamforming using synthetic and adaptive imaging techniques; Proceedings IEEE International Symposium on Biomedical Imaging; Washington, D.C.; pp. 433-436; Jul. 7-10, 2002. (Year: 2002). |
Gazor et al.; Wideband multi-source beamforming with array location calibration and direction finding; Conference on Acoustics, Speech and Signal Processing ICASSP-95; Detroit, MI; vol. 3 IEEE; pp. 1904-1907; May 9-12, 1995. (Year: 1995). |
Haykin, Simon; Neural Networks: A Comprehensive Foundation (2nd Ed.); Prentice Hall; pp. 156-187; Jul. 16, 1998. (Year: 1998). |
Heikkila et al.; A four-step camera calibration procedure with implicit image correction; Proceedings IEEE Computer Scociety Conference on Computer Vision and Pattern Recognition; San Juan; pp. 1106-1112; Jun. 17-19, 1997. (Year: 1997). |
Hendee et al.; Medical Imaging Physics; Wiley-Liss, Inc. 4th Edition; Chap. 19-22; pp. 303-353; (year of pub. sufficiently earlier than effective US filing date and any foreign priority date) © 2002. (Year: 2002). |
Hsu et al.; Real-time freehand 3D ultrasound calibration; CUED/F-INFENG/TR 565; Department of Engineering, University of Cambridge, United Kingdom; 14 pages; Sep. 2006. (Year: 2006). |
Jeffs; Beamforming: a brief introduction; Brigham Young University; 14 pages; retrieved from the internet (http://ens.ewi.tudelft.nl/Education/courses/et4235/Beamforming.pd1); Oct. 2004. (Year: 2004). |
Khamene et al.; A novel phantom-less spatial and temporal ultrasound calibration method; Medical Image Computing and Computer-Assisted Intervention—MI CC AI (Proceedings 8th Int. Conf. ); Springer Berlin Heidelberg; Palm Springs, CA; pp. 65-72; Oct. 26-29, 2005. (Year: 2005). |
Kramb et al,.; Considerations for using phased array ultrasonics in a fully automated inspection system. Review of Quantitative Nondestructive Evaluation, vol. 23, ed. D. 0. Thompson and D. E. Chimenti, pp. 817-825. (Year: 2004). |
Ledesma-Carbayo et al.; Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation; IEEE Trans. on Medical Imaging; vol. 24; No. 9; Sep. 2005. (Year: 2005). |
Leotta et al.; Quantitative three-dimensional echocardiography by rapid imaging . . . ; J American Society of Echocardiography; vol. 10; No. 8; pp. 830-839; Oct. 1997. (Year: 1997). |
Li et al.; An efficient speckle tracking algorithm for ultrasonic imaging; 24; pp. 215-228; Oct. 1, 2002. (Year: 2002). |
Morrison et al.; A probabilistic neural network based image segmentation network for magnetic resonance images; Proc. Conf. Neural Networks; Baltimore, MD; vol. 3; pp. 60-65; Jun. 1992. (Year: 1992). |
Nadkarni et al.; Cardiac motion synchronization for 3D cardiac ultrasound imaging; Ph.D. Dissertation, University of Western Ontario; Jun. 2002. (Year: 2002). |
Opretzka et al.; A high-frequency ultrasound imaging system combining limited-angle spatial compounding and model-based synthetic aperture focusing; IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, IEEE, US; 58(7); pp. 1355-1365; Jul. 2, 2011 (Year: 2011). |
Press et al.; Cubic spline interpolation; §3.3 in “Numerical Recipes in FORTRAN: The Art of Scientific Computing”, 2nd Ed.; Cambridge, England; Cambridge University Press; pp. 107-110; Sep. 1992. (Year: 1992). |
Saad et al.; Computer vision approach for ultrasound doppler angle estimation; Journal of Digital Imaging; 22(6); pp. 681-688; Dec. 1, 2009. (Year: 2009). |
Sakas et al.; Preprocessing and volume rendering of 3D ultrasonic data; IEEE Computer Graphics and Applications; pp. 47-54, Jul. 1995. (Year: 1995). |
Sapia et al.; Deconvolution of ultrasonic waveforms using an adaptive wiener filter; Review of Progress in Quantitative Nondestructive Evaluation; vol. 13A; Plenum Press; pp. 855-862; 1994 (Year: 1994). |
Sapia et al.; Ultrasound image deconvolution using adaptive inverse filtering; 12 IEEE Symposium on Computer-Based Medical Systems, CBMS, pp. 248-253; Jun. 1999. (Year: 1999). |
Sapia, Mark Angelo; Multi-dimensional deconvolution of optical microscope and ultrasound imaging using adaptive least-meansquare (LMS) inverse filtering; Ph.D. Dissertation; University of Connecticut; Jan. 2000. (Year: 2000). |
Slavine et al.; Construction, calibration and evaluation of a tissue phantom with reproducible optical properties for investigations in light emission tomography; Engineering in Medicine and Biology Workshop; Dallas, TX; IEEE pp. 122-125; Nov. 11-12, 2007. (Year: 2007). |
Smith et al.; High-speed ultrasound volumetric imaging system. 1. Transducer design and beam steering; IEEE Trans. Ultrason., Ferroelect., Freq. Contr.; vol. 38; pp. 100-108; Mar. 1991. (Year: 1991). |
Specht et al.; Experience with adaptive PNN and adaptive GRNN; Proc. IEEE International Joint Conf. on Neural Networks; vol. 2; pp. 1203-1208; Orlando, FL; Jun. 1994. (Year: 1994). |
Specht, D.F.; A general regression neural network; IEEE Trans. on Neural Networks; vol. 2.; No. 6; Nov. 1991. (Year: 1991). |
Specht, D.F.; Blind deconvolution of motion blur using LMS inverse filtering; Lockheed Independent Research (unpublished); Jun. 23, 1975. (Year: 1975). |
Specht, D.F.; Enhancements to probabilistic neural networks; Proc. IEEE International Joint Conf. on Neural Networks; Baltimore, MD; Jun. 1992. (Year: 1992). |
Specht, D.F.; GRNN with double clustering; Proc. IEEE International Joint Conf. Neural Networks; Vancouver, Canada; Jul. 16-21, 2006. (Year: 2006). |
Specht, D.F.; Probabilistic neural networks; Pergamon Press; Neural Networks; vol. 3; pp. 109-118; Feb. 1990. (Year: 1990). |
UCLA Academic Technology; SPSS learning module: How can I analyze a subset of my data; 6 pages; retrieved from the internet (http:/ /www.ats.ucla.edu/stat/spss/modules/subset_analyze.htm) Nov. 26, 2001. (Year: 2001). |
Urban et al; Implementation of vibro-acoustography on a clinical ultrasound system; IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control; 58(6); pp. 1169-1181 (Author Manuscript, 25 pgs.); Jun. 2011. (Year: 2011). |
Urban et al; Implementation of vibro-acoustography on a clinical ultrasound system; IEEE Ultrasonics Symposium (IUS); pp. 326-329; Oct. 14, 2010. (Year: 2010). |
Von Ramm et al.; High-speed ultrasound volumetric imagingSystem. 2. Parallel processing and image display; IEEE Trans. Ultrason., Ferroelect., Freq. Contr.; vol. 38; pp. 109-115; Mar. 1991. (Year: 1991). |
Wang et al.; Photoacoustic tomography of biological tissues with high cross-section resolution: reconstruction and experiment; Medical Physics; 29(12); pp. 2799-2805; Dec. 2002. (Year: 2002). |
Wells, P.N.T.; Biomedical ultrasonics; Academic Press; London, New York, San Francisco; pp. 124-125; Mar. 1977. (Year: 1977). |
Widrow et al.; Adaptive signal processing; Prentice-Hall; Englewood Cliffs, NJ; pp. 99-116; Mar. 1985. (Year: 1985). |
Wikipedia; Point cloud; 2 pages; retrieved Nov. 24, 2014 from the internet (https:/ /en .wikipedia.org/w/index.php?title= Point_cloud&oldid=47258313 8). (Year: 2014). |
Wikipedia; Curve fitting; 5 pages; retrieved from the internet (http:en.wikipedia.org/wiki/Curve_fitting) Dec. 19, 2010. (Year: 2010). |
Wikipedia; Speed of sound; 17 pages; retrieved from the internet (http:en.wikipedia.org/wiki/Speed_of_sound) Feb. 15, 2011. (Year: 2011). |
Yang et al.; Time-of-arrival calibration for improving the microwave breast cancer imaging; 2011 IEEE Topical Conf. on Biomedical Wrreless Technologies, Networks, and sensing Systems (BioWireleSS); Phoenix, AZ; pp. 67-70; Jan. 16-19, 2011. (Year: 2011). |
Zhang et al.; A high-frequency high frame rate duplex ultrasound linear array imaging system for small animal imaging; IEEE transactions on ultrasound, ferroelectrics, and frequency control; 57(7); pp. 1548-1567; Jul. 2010. (Year: 2010). |
Specht et al.; U.S. Appl. No. 15/364,075 entitled “Point source transmission and speed-of-sound correction using multi-aperture ultrasound imaging,” filed Nov. 29, 2016 (Year: 2016). |
Davies et al.; U.S. Appl. No. 15/418,534 entitled “Ultrasound imaging with sparse array probes,” filed Jan. 27, 2017. (Year: 2017). |
Call et al.; U.S. Appl. No. 15/500,933 entitled “Network-based ultrasound imaging system,” filed Feb. 1, 2017. (Year: 2017). |
Number | Date | Country | |
---|---|---|---|
20190175152 A1 | Jun 2019 | US |
Number | Date | Country | |
---|---|---|---|
61169200 | Apr 2009 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 15044932 | Feb 2016 | US |
Child | 16277853 | US | |
Parent | 13279110 | Oct 2011 | US |
Child | 15044932 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12760327 | Apr 2010 | US |
Child | 13279110 | US |