Method and apparatus for optimizing a computer assisted surgical procedure

Abstract
A method and apparatus for optimizing a computer assisted procedure is provided. A method and apparatus for performing a procedure is also provided. Data can be accessed and processed to optimize and perform a procedure. The data can be augmented or supplemented with patient specific data.
Description
FIELD

The present disclosure relates to a method and apparatus for performing a computer assisted surgical procedure, and particularly to a method and apparatus for optimizing a computer assisted surgical procedure.


BACKGROUND

The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.


Various procedures can be performed on the anatomy of a patient to assist in providing various treatments to the patient. For example, an orthopedic procedure can include implanting a prosthesis or repairing an anatomical structure of a patient. Additional surgical procedures can include neurological procedures, cardiovascular procedures, and the like. Some of these exemplary procedures are generally selected to be performed in a small or minimally invasive manner. Some surgical procedures are performed in very surgically sensitive areas of the patient, such as in the brain or spinal area. In various procedures, therefore, an assistive system, such as an imaging or navigation system can be used to assist in a procedure. For example, a navigation system can be used to assist in illustrating a position of a device or instrument relative to a patient.


Although imaging systems to image portions of the anatomy and navigation systems are generally available, they may not provide multiple levels or types of information to the user. For example, an imaging device may generally only be able to provide one or two types of image data for use by a user. Nevertheless, providing several types of data for use during a single procedure may be desirable. For example, it may be desirable to provide a generally accepted map of a selected portion of the anatomy, such as the brain, for review during a procedure. It may also be desirable to illustrate a map of the anatomy relative to a patient specific image to assist in determining or verifying a location or target in the anatomy.


In addition, it may be desirable to provide a system that allows for integration of numerous types of systems. For example, it may be desirable to provide a system that allows for integration of both a navigation system, an imaging system, a data feedback system, and the like. Therefore, it is desirable to provide a system that allows for integration of several systems to allow for a synergistic approach to performing a selected surgical procedure. It is also desirable to provide an adaptive system that allows updating of static or database models to optimize various surgical procedures.


SUMMARY

Taught herein is a method and apparatus for providing an integrated adaptive system and approach to performing a surgical procedure. This system may be provided to obtain or display a selected type of data relating to a portion of the anatomy, and the system may allow for the synergy of several types of information for a single user. For example, image data of a particular patient, atlas information, instrument or recorder information, navigation information, archived or historical information, patient specific information and other appropriate types of information. All can be provided on or by a single system for use by a user during an operative procedure, after an operative procedure, or prior to an operative procedure.


In one example, various types of data can be provided to a user to plan a selected procedure. The plan and various types of data can be provided to a user during the actual procedure to assist navigating and assuring that the procedure is performed according to the plan. The data can also allow a user to perform a follow-up or programming of a device for a particular procedure. The data can assist the user in ensuring that an appropriate therapy is provided to a selected area of the anatomy, such as the brain. In addition, the various types of data can be used to post-operatively assist in refining various databases of data, such as atlases, including the anatomical and functional locations defined therein.


Further areas of applicability will become apparent from the description provided herein. It should be understood that the description and specific examples are intended for purposes of illustration only and are not intended to limit the scope of the present disclosure.





DRAWINGS

The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way.



FIG. 1 is a schematic block diagram of an optimization system according to various embodiments;



FIG. 2 is an environmental view of a navigation system according to various embodiments;



FIG. 2A is an environmental view of a navigation system according to various embodiments;



FIG. 2B is an environmental view of a navigation system according to various embodiments;



FIG. 3 is an illustration of three-dimensional atlas data according to various embodiments;



FIG. 4 is an illustration of image data and atlas data according to various embodiments;



FIG. 5 is an illustration of image data and planning data according to various embodiments;



FIG. 6 is an illustration of various types of data including image data, physiological data, icon data, atlas data, according to various embodiments;



FIG. 7 is an illustration of tracking and positioning of a device relative to an anatomy;



FIG. 8 is a perspective view of a work station including a display displaying various types of data according to various types of embodiments;



FIG. 9A is an illustration of an affect of a therapy according to various embodiments;



FIG. 9B is a display of image data including an icon representing an affected area according to a selected therapy according to various embodiments;



FIG. 10A is image data including an icon representing a selected therapy's affect on the anatomy;



FIG. 10B is an illustration of image data with an icon representing an area of the anatomy affected by a selected therapy;



FIG. 11 is a block diagram graphical representation of an optimization system; and



FIG. 12 is an illustration of physiological data according to various embodiments.





DETAILED DESCRIPTION

The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses.


With reference to FIG. 1, an optimization or synergistic system 1 is illustrated. The optimization system 1 can allow the provision of numerous types of data to be used or provided for planning a procedure, performing a procedure, optimizing a procedure, or assisting in updating or enhancing the data 2. The data 2 can include various types of data. Exemplary data can include atlas data 2a, patient image data 2b, acquired physiological data 2c, patient specific data 2d, and archived or statistical functional data 2e.


The various types of data 2 can be provided within the optimization system of 1 for use in various portions of the optimization procedure 1 The optimization system 1 can include a procedure planning 3, performing a procedure 4, or optimizing and programming a system 5, such as an implantable device. The various types of data 2 can be provided in any appropriate manner, such as visually, a list, a database, a computer accessible database, or the like.


The various types of data 2, although only exemplary and not intended to be an exhaustive list, can include atlas data 2a. The atlas data 2a can be any appropriate atlas data, such as a neurological atlas data, a cardiovascular atlas data, a musculature atlas data, skeletal atlas data, or the like. The atlas data can include three-dimensional atlas data 100 (FIG. 3) of selected portions of the anatomy. For example, atlas data can include three-dimensional atlas data of a neurological feature or structure, such as the sub-thalamic nucleus, various ventricles, and the like. Atlas data can also include two-dimensional atlas data 102 (FIG. 4) of portions of the anatomy, such as neurological portions. Other atlas data can also include the various boundaries of anatomical or functional features, locations of various anatomical or functional features, or any appropriate atlas data. Generally, the atlas data can be understood to be a well defined image data of a single or multiple patients. Generally accepted locations of functional or anatomical locations in an anatomy can be provided in the atlas data. The atlas data, as discussed further herein, can then be used to determine various functional or anatomical locations within an image data of a particular patient.


The data 2 provided within the optimization system 1 can also include the patient specific image data 2b. The patient specific image data 2b can be acquired in any appropriate manner, including those discussed further herein. The acquired image data can include magnetic resonance imaging data, diffusion tensor image data, optical coherence tomography image data, x-ray image data, or any appropriate image data. The patient image data can be acquired at any appropriate time, such as pre-operatively, intra-operatively or post-operatively. Also, as discussed further herein, the patient image data 2b can be registered to the atlas data 2a for use by a user within the optimization system 1. The atlas data 2a can be fitted to the image data of the patient 2b in any appropriate manner, also discussed further herein.


Also, other types of exemplary patient data that can be acquired, can include physiological data 2c. The physiological data 2c can be any appropriate type of data, such as electrical signal data recorded with a micro-electrode recorder (MER). Micro-electrode recording is understood by one skilled in the art and can be used to precisely pin point or locate various portions of the anatomy. For example, the MER can be used to determine the electrical signal relative to a single neuron or to a group of neurons. Further, the MER can be moved through the neurological tissue to determine differences between selected regions of a patient. The acquired physiological data, however, can also include any appropriate type of data, such as optical coherence tomography data 220 (see FIG. 12), temperature data, hydraulic data, or the like. The acquired physiological data can also be used with or superimposed on various types of patient specific data, such as the patient image data 2b. The acquired physiological data 2c can also be used to assist in an appropriate registration, re-registration or superimposing of the atlas data 2a onto the patient image data 2b.


In addition, various patient specific data in block 2d can also be provided. The patient specific data 2d can also include data, such as prior procedures, physical issues with the particular patient 14, or any appropriate patient specific data. The patient specific data 2d can also include a particular geometry or the patient, known locations of portions of the anatomy of the patient, and the like. Patient specific data 2d can also include functional data of the patient. Also, patient specific data can include function data acquired during a particular procedure. Functional data can include microelectrode recording data, pressure data, gating data, etc. Functional data, according to various embodiments, can be obtained with a microelectrode recorder, a scope, a catheter, or any other appropriate instrument.


In addition, as discussed above, the data 2 can include various archived or multiple procedural data portions or data sets 2e. Although various portions of the data can be integrated into the atlas data 2a, an additional database of data can include the archived or statistical functional data 2e. The archived and statistical functional data 2e can include data obtained during the performance of the procedure in block 4 or during the optimization and programming of the device, which can be implanted in the patient 14 in block 5. Archived or statistical functional data 2e can also include functional data of a group or previous patients. Functional data can include microelectrode recording data, pressure data, gating data, etc. The archived functional data can be used to augment data base data, including an atlas or other appropriate data. Therefore, the data in block 2 can include both data relating to the particular patient and to historical data that can assist in optimizing static data, such as atlas data, to a particular patient.


It will be understood that the system 1, as illustrated in FIG. 11, can include a substantially graphical interface that allows for both representation of the static and archived data and for manipulation of the data. Further, the archived data can be provided in a graphical manner relative to the patient specific data for illustration and reference during a particular procedure.


The data 2 can be provided to any appropriate procedure planning system 3. As discussed further herein, the data 2 can also be provided to an optimization or programming system for a device 5. The data 2 can be used in the procedure planning 3 or in the optimization programming system 5 to enhance or optimize a procedure on a particular patient. For example, the procedure planning block 3 can use the data 2 to assist in pre-selecting a target for a therapy, selecting a trajectory to reach the target for therapy, determining an appropriate amount of therapy, determining an appropriate type of therapy, or other appropriate pre-surgical planning information.


The data 2 can be provided, generally, in a database for access by a system or user. As discussed further herein, a workstation including a processor or any appropriate processor can execute instructions relating to the data base of the data 2. The database of the data 2 can be stored on a memory system for access by the processor. Thus, the data 2 can be accessed for use during a procedure, as discussed herein.


Also, as discussed further herein, a feedback 6 can allow the database of the data 2 to be augmented or updated. The database data 2 can be augmented or updated for use in multiple procedures or only in a current procedure. In this way, the data 2 in the database can be used in one or multiple procedures and accessed by multiple users. Thus, the data 2 can be used to optimize or assist in several procedures and updated and improved over time.


The data 2 in the database, can be accessed for use in a procedure. The data 2 in the database can be stored on a local memory system or accessed via a communications network. This can allow a centralized storage and access of the data 2 to efficiently update and augment the data 2 with numerous procedure data.


In planning a procedure, the patient image data 2b can be further refined with the acquired physiological data 2c or other patient specific information 2d. This can assist determining the location of the various anatomical or functional locations. Further, the data 2 can also include specific inputs or database inputs of the effective therapies on selected portions of the anatomy. For example, known effects of electrical stimulation, material delivery, or the like can be provided to assist in planning a procedure, including the amounts or type of therapy to be provided to a selected target or region.


Also, as discussed herein and illustrated in FIGS. 8-10B, various types of data can be used to illustrate the affect on the anatomy during a programming in the optimization of programming in block 5. However, this data can also be used pre-operatively, when illustrated relative to a selected location, such as a target location, to illustrate a possible affect of a therapy to be provided at the selected location. Therefore, the image data, atlas data, and the other database data can be used to plan a procedure. For example, an icon representing the implanted probe can be positioned on the image data of the patient and an icon representing an area affected by the therapy can be displayed relative to the probe. Planning the procedure can be used to select an optimal location, an optimal therapy based upon the optimal location, an optimal trajectory to attempt to reach the application, and the like. The instrument that is implanted can include a plurality of instruments, such as a plurality of DBS leads. Each of the instruments can be activated or used separately or together to provide a therapy.


The procedure planned in block 3 can also be performed in block 4 with the assistance of the data 2. As discussed herein, a device or instrument can be navigated relative to a patient, based upon the planned procedure from block 3, which is based upon the data from block 2. The navigation can be substantially imageless or with images to assist in ensuring that an appropriate location of the instrument or device is reached. Further, the data can be used to illustrate the type of therapy being provided and the effect of the therapy being provided to the patient. Also, various imaging techniques can be used to intraoperatively verify positioning of a selected device to ensure that the plan from the procedure planning of block 3 has been achieved.


As understood by one skilled in the art, various types of devices may be programmed or optimized once they are implanted or positioned relative to a patient. For example, a deep brain stimulator (DBS) probe can be implanted into the brain and can be programmed over time to achieve an optimal result. It will be understood, however, that various types of implantable devices can also be employed to provide any appropriate type of therapy, such as a pacing lead, a drug delivery therapy, a pharmaceutical delivery, a cell or gene delivery therapy, or any appropriate type of therapy and delivery. Therefore, the optimization and programming system in block 5 can use the data from block 2 to assist in determining the appropriate type of programming that should be provided. For example, also discussed further herein, an appropriate voltage and pulse width can be programmed for an appropriate lead to stimulate a selected portion of the anatomy. The data from block 2 can be used to assist in determining the appropriate voltage, the appropriate pulse width, and the appropriate lead to be activated.


Also, the optimization and programming system for the device 5 can be used to assist in creating or augmenting the data in block 2, via feedback 6. For example, when providing a selected voltage, pulse width, and the like achieves the selected result or achieves a particular result, the data from block 2 can be augmented or changed based upon the observed result. The optimal location or optimal initial voltage, pulse width, therapy delivery, or the like can be input for retrieval when planning a procedure 3 from the data block 2.


The procedure can be planned or performed with any appropriate system, which can include a navigation system 10 (FIG. 2). The navigation system 10 can be used by any appropriate individual, such as a user to assist in both planning and performing a procedure. Nevertheless, the data 2 can be used and processed by a user or an electronic processor to assist in planning or performing a procedure.


With reference to FIG. 2 the navigation system 10 that can be used for various procedures in relation to the optimized therapy plan and system 1. The navigation system 10 can be used to track the location of a device, such as a delivery device, relative to a patient 14 to assist in the implementation of the plan in block 3, and discussed herein. It should be further noted that the navigation system 10 may be used to navigate or track other devices including: catheters, probes, needles, leads, implants, etc. Moreover, the navigated device may be used in any region of the body. The navigation system 10 and the various devices may be used in any appropriate procedure, such as one that is generally minimally invasive, arthroscopic, percutaneous, stereotactic, or an open procedure. Although an exemplary navigation system 10 including an imaging system 12 are discussed herein, one skilled in the art will understand that the disclosure is merely for clarity of the present discussion and any appropriate imaging system, navigation system, patient specific data, and non-patient specific data can be used. For example, the imaging system can include an MRI imaging system 12′ (FIG. 2A) or an O-arm imaging system 12″ (FIG. 2B).


The navigation system 10 can include the optional imaging device 12 that is used to acquire pre-, intra-, or post-operative or real-time image data of a patient 14. The image data acquired with the imaging device 12 can be used as part of the patient specific information in block 2. Alternatively various imageless systems can be used or images from atlas models can be used to produce patient images, such as those disclosed in U.S. patent application Ser. No. 10/687,539, filed Oct. 16, 2003, entitled “METHOD AND APPARATUS FOR SURGICAL NAVIGATION OF A MULTIPLE PIECE CONSTRUCT FOR IMPLANTATION”, incorporated herein by reference. The optional imaging device 12 is, for example, a fluoroscopic X-ray imaging device that may be configured as a C-arm 16 having an X-ray source 18, an X-ray receiving section 20, an optional calibration and tracking target 22 and optional radiation sensors 24. The calibration and tracking target 22 includes calibration markers (not illustrated). Image data may also be acquired using other imaging devices, such as those discussed above and herein.


An optional imaging device controller 28 may control the imaging device 12, such as the C-arm 16, which can capture the x-ray images received at the receiving section 20 and store the images for later use. The controller 28 may also be separate from the C-arm 16 and can be part of or incorporated into a work station 31. The controller 28 can control the rotation of the C-arm 16. For example, the C-arm 16 can move in the direction of arrow 30 or rotate about a longitudinal axis 14a of the patient 14, allowing anterior or lateral views of the patient 14 to be imaged. Each of these movements involves rotation about a mechanical axis 32 of the C-arm 16. The movements of the imaging device 12, such as the C-arm 16 can be tracked with a tracking device 59.


In the example of FIG. 2, the longitudinal axis 14a of the patient 14 is substantially in line with the mechanical axis 32 of the C-arm 16. This enables the C-arm 16 to be rotated relative to the patient 14, allowing images of the patient 14 to be taken from multiple directions or about multiple planes. An example of a fluoroscopic C-arm x-ray device that may be used as the optional imaging device 12 is the “Series 9600 Mobile Digital Imaging System,” from GE Healthcare, (formerly OEC Medical Systems, Inc.) of Salt Lake City, Utah. Other exemplary fluoroscopes include bi-plane fluoroscopic systems, ceiling fluoroscopic systems, cath-lab fluoroscopic systems, fixed C-arm fluoroscopic systems, isocentric C-arm fluoroscopic systems, 3D fluoroscopic systems, intraoperative O-arms, etc.


In operation, the C-arm 16 generates X-rays from the −X-ray source 18 that propagate through the patient 14 and calibration and/or tracking target 22, into the X-ray receiving section 20. This allows direct visualization of the patient 14 and radio-opaque instruments in the cone of X-rays. It will be understood that the tracking target or device need not include a calibration portion. The receiving section 20 generates image data representing the intensities of the received X-rays. Typically, the receiving section 20 includes an image intensifier that first converts the X-rays to visible light and a charge coupled device (CCD) video camera that converts the visible light into digital image data. Receiving section 20 may also be a digital device that converts X-rays directly to digital image data for forming images, thus potentially avoiding distortion introduced by first converting to visible light. With this type of digital C-arm, which is generally a flat panel device, the optional calibration and/or tracking target 22 and the calibration process discussed below may be eliminated. Also, the calibration process may be eliminated or not used at all for various procedures. Alternatively, the imaging device 12 may only take a single image with the calibration and tracking target 22 in place. Thereafter, the calibration and tracking target 22 may be removed from the line-of-sight of the imaging device 12.


Two dimensional fluoroscopic images that may be taken by the imaging device 12 are captured and stored in the C-arm controller 28. Multiple two-dimensional images taken by the imaging device 12 may also be captured and assembled to provide a larger view or image of a whole region of a patient, as opposed to being directed to only a portion of a region of the patient. For example, multiple image data of a patient's leg or cranium and brain may be appended together to provide a full view or complete set of image data of the leg or brain that can be later used to follow contrast agent, such as Bolus or therapy tracking.


The image data can then be forwarded from the C-arm controller 28 to a navigation computer and/or processor controller or work station 31 having a display 34 to display image data 36 and a user interface 38. The work station 31 can also include or be connected to an image processor, navigation processor, and memory to hold instruction and data. The work station 31 can include an optimization processor, which includes the system 1, as discussed herein, or a separate optimization processor system 39 can be included. The optimization processor system 39 can also include a display 39a and a user input 39b. It will also be understood that the image data is not necessarily first retained in the controller 28, but may also be directly transmitted to the workstation 31, which can also include an image processor, navigation processor, memory, etc. Moreover, processing for the navigation system and optimization can all be done with a single or multiple processors.


The work station 31 or optimization processor 39 provides facilities for displaying the image data 36 as an image on the display 34, saving, digitally manipulating, or printing a hard copy image of the received image data. The user interface 38, which may be a keyboard, mouse, touch pen, touch screen or other suitable device, allows a physician or user 67 to provide inputs to control the imaging device 12, via the C-arm controller 28, or adjust the display settings of the display 34. The work station 31 may also direct the C-arm controller 28 to adjust the rotational axis 32 of the C-arm 16 to obtain various two-dimensional images along different planes in order to generate representative two-dimensional and three-dimensional images.


The optimization processor 39 can be provided in any appropriate format, such as a substantially portable format. The optimization processor 39 can be used in any appropriate portion of the optimization process or system 1. For example, the optimization processor 39 can be separate from the navigation processor to allow for planning of the procedure, programming of the device in step 5, or any appropriate portion.


Various calibration techniques can be used to calibrate the imaging device 12. Intrinsic calibration, which is the process of correcting image distortion in a received image and establishing the projective transformation for that image, involves placing the calibration markers in the path of the x-ray, where the calibration markers are opaque or semi-opaque to the x-rays. A more detailed explanation of exemplary methods for performing intrinsic calibration are described in the references: B. Schuele, et al., “Correction of Image Intensifier Distortion for Three-Dimensional Reconstruction,” presented at SPIE Medical Imaging, San Diego, Calif., 1995; G. Champleboux, et al., “Accurate Calibration of Cameras and Range Imaging Sensors: the NPBS Method,” Proceedings of the IEEE International Conference on Robotics and Automation, Nice, France, May, 1992; and U.S. Pat. No. 6,118,845, entitled “System And Methods For The Reduction And Elimination Of Image Artifacts In The Calibration Of X-Ray Imagers,” issued Sep. 12, 2000, the contents of which are each hereby incorporated by reference.


While the optional imaging device 12 is shown in FIG. 2, any other alternative 2D, 3D or 4D imaging modality may also be used. For example, any 2D, 3D or 4D imaging device, such as isocentric fluoroscopy, bi-plane fluoroscopy, ultrasound, computed tomography (CT), multi-slice computed tomography (MSCT), magnetic resonance imaging (MRI), high frequency ultrasound (HIFU), positron emission tomography (PET), optical coherence tomography (OCT) (a more detailed discussion on optical coherence tomography (OCT), is set forth in U.S. Pat. No. 5,740,808, issued Apr. 21, 1998, entitled “Systems And Methods For Guiding Diagnostic Or Therapeutic Devices In Interior Tissue Regions” which is hereby incorporated by reference), intra-vascular ultrasound (IVUS), intra-operative CT, single photo emission computed tomography (SPECT), planar gamma scintigraphy (PGS). Addition imaging systems include intraoperative MRI systems 12. (FIG. 2A), such as the PoleStar® MRI system sold by Medtronic, Inc. Further systems include the O-Arm™ imaging system 12 (FIG. 2B) sold by Breakaway Imaging, LLC. The images may also be obtained and displayed in two, three or four dimensions. In more advanced forms, four-dimensional surface rendering regions of the body may also be achieved by incorporating patient data or other data from an atlas or anatomical model map or from pre-operative image data captured by MRI, CT, or echocardiography modalities.


Image datasets from hybrid modalities, such as positron emission tomography (PET) combined with CT, or single photon emission computer tomography (SPECT) combined with CT, could also provide functional image data superimposed onto anatomical data to be used to confidently reach target sights within the patient 14. It should further be noted that the optional imaging device 12, as shown in FIG. 2, provides a virtual bi-plane image using a single-head C-arm fluoroscope as the optional imaging device 12 by simply rotating the C-arm 16 about at least two planes, which could be orthogonal planes to generate two-dimensional images that can be converted to three-dimensional volumetric images. By acquiring images in more than one plane, an icon representing the location of an impacter, stylet, reamer driver, taps, drill, or other instrument, or probe introduced and advanced in the patient 14, may be superimposed in more than one view on display 34 allowing simulated bi-plane or even multi-plane views, including two and three-dimensional views.


4D image information can be used with the navigation system 10 as well. For example, the user 67 can use the physiologic signal 2C, which can include Heart Rate (EKG), Breath Rate (Breath Gating) and combine this data with image data 2b acquired during the phases of the physiologic signal to represent the anatomy at various stages of the physiologic cycle. For example, the brain pulses (and therefore moves) with each heartbeat. Images can be acquired to create a 4D map of the brain, onto which the atlas data 2a and representations of the instrument can be projected. This 4D data set can be matched and co-registered with the physiologic signal (EKG) to represent a compensated image within the system. The image data registered with the 4D information can show the brain (or anatomy of interest) moving during the cardiac or breath cycle. This movement can be displayed on the display 34 as the image data 36.


Likewise, other imaging modalities can be used to gather the 4D dataset to which pre-operative 2D and 3D data can be matched. One need not necessarily acquire multiple 2D or 3D images during the physiologic cycle of interest (breath or heart beat). Ultrasound imaging or other 4D imaging modalities can be used to create an image data that allows for a singular static pre-operative image to be matched via image-fusion techniques and/or matching algorithms that are non-linear to match the distortion of anatomy based on the movements during the physiologic cycle. The combination of a the dynamic reference frame 54 and 4D registration techniques can help compensate for anatomic distortions during movements of the anatomy associated with normal physiologic processes.


With continuing reference to FIG. 2, the navigation system 10 can further include an electromagnetic navigation or tracking system 44 that includes a localizer, such as a coil array 46 and/or second coil array 47, the coil array controller 48, a navigation probe interface 50, a device 52 (e.g. catheter, needle, or instruments, as discussed herein) and a dynamic reference frame 54. Other tracking systems can include optical tracking systems 44′, 44″ exemplary optical tracking systems include the StealthStation® Treon® and the StealthStation® Tria® both sold by Medtronic Navigation, Inc. The dynamic reference frame 54 can include a dynamic reference frame holder 80 and a removable tracking device 54a. Alternatively, the dynamic reference frame 54 can include a tracking device 54a that is formed integrally with the dynamic reference frame holder 80.


The tracking device 54a or any appropriate tracking device as discussed herein, can include both a sensor, a transmitter, or combinations thereof. Further, the tracking devices can be wired or wireless to provide a signal or emitter or receive a signal from a system. Nevertheless, the tracking device can include an electromagnetic coil to sense a field produced by the localizing array 46 or 47 or reflectors that can reflect a signal to be received by the optical localizer 44′, 44″. Nevertheless, one will understand that the tracking device can receive a signal, transmit a signal, or combinations thereof to provide information to the navigation system 10 to determine a location of the tracking device 54a, 58. The navigation system can then determine a position of the instrument or tracking device to allow for navigation relative to the patient and patient space.


The coil arrays 46, 47 may also be supplemented or replaced with a mobile localizer. The mobile localizer may be one such as that described in U.S. patent application Ser. No. 10/941,782, filed Sep. 15, 2004, and entitled “METHOD AND APPARATUS FOR SURGICAL NAVIGATION”, herein incorporated by reference. As is understood the localizer array can transmit signals that are received by the tracking device 54a, 58. The tracking device 58 can then transmit or receive signals based upon the transmitted or received signals from or to the array.


Other tracking systems include acoustic, radiation, radar, infrared, etc. The optical localizer can transmit and receive, or combinations thereof. An optical tracking device can be interconnected with the instrument 52, or other portions such as the dynamic reference frame 54. As is generally known the optical tracking device 58a can reflect, transmit or receive an optical signal to the optical localizer 44′ that can be used in the navigation system 10 to navigate or track various elements. Therefore, one skilled in the art will understand, that the tracking devices 54a, 58, and 59 can be any appropriate tracking device to work with any one or multiple tracking systems.


Further included in the navigation system 10 may be an isolator circuit or assembly. The isolator circuit or assembly may be included in a transmission line to interrupt a line carrying a signal or a voltage to the navigation probe interface 50. Alternatively, the isolator circuit included in the isolator box may be included in the navigation probe interface 50, the device 52, the dynamic reference frame 54, the transmission lines coupling the devices, or any other appropriate location. The isolator assembly is operable to isolate any of the instruments or patient coincidence instruments or portions that are in contact with the patient should an undesirable electrical surge or voltage take place.


It should further be noted that the entire tracking system 44 or parts of the tracking system 44 may be incorporated into the imaging device 12, including the work station 31, radiation sensors 24 and optimization processor 39. Incorporating the tracking system 44 may provide an integrated imaging and tracking system. This can be particularly useful in creating a fiducial-less system. Any combination of these components may also be incorporated into the imaging system 12, which again can include a fluoroscopic C-arm imaging device or any other appropriate imaging device.


The coil array 46 can include a plurality of coils that are each operable to generate distinct electromagnetic fields into the navigation region of the patient 14, which is sometimes referred to as patient space. Representative electromagnetic systems are set forth in U.S. Pat. No. 5,913,820, entitled “Position Location System,” issued Jun. 22, 1999 and U.S. Pat. No. 5,592,939, entitled “Method and System for Navigating a Catheter Probe,” issued Jan. 14, 1997, each of which are hereby incorporated by reference.


The coil array 46 is controlled or driven by the coil array controller 48. The coil array controller 48 drives each coil in the coil array 46 in a time division multiplex or a frequency division multiplex manner. In this regard, each coil may be driven separately at a distinct time or all of the coils may be driven simultaneously with each being driven by a different frequency.


Upon driving the coils in the coil array 46 with the coil array controller 48, electromagnetic fields are generated within the patient 14 in the area where the medical procedure is being performed, which is again sometimes referred to as patient space. The electromagnetic fields generated in the patient space induce currents in the tracking device 54a, 58 positioned on or in the device 52. These induced signals from the tracking device 58 are delivered to the navigation probe interface 50 and subsequently forwarded to the coil array controller 48. The navigation probe interface 50 can also include amplifiers, filters and buffers to directly interface with the tracking device 58 in the device 52. Alternatively, the tracking device 58, or any other appropriate portion, may employ a wireless communications channel, such as that disclosed in U.S. Pat. No. 6,474,341, entitled “Surgical Communication Power System,” issued Nov. 5, 2002, herein incorporated by reference, as opposed to being coupled directly to the navigation probe interface 50.


Various portions of the navigation system 10, such as the device 52, the dynamic reference frame (DRF) 54, the instrument 52, are equipped with at least one, and generally multiple, EM or other tracking devices 58, that may also be referred to as localization sensors. The EM tracking devices 58 can include one or more coils that are operable with the EM localizer array 46 or 47. An alternative tracking device may include an optical sensor, and may be used in addition to or in place of the electromagnetic sensor 58. The optical sensor may work with the optional optical array 44′. One skilled in the art will understand, however, that any appropriate tracking device can be used in the navigation system 10. An additional representative alternative localization and tracking system is set forth in U.S. Pat. No. 5,983,126, entitled “Catheter Location System and Method,” issued Nov. 9, 1999, which is hereby incorporated by reference. Alternatively, the localization system may be a hybrid system that includes components from various systems.


In brief, the EM tracking device 58 on the device 52 can be in a handle or inserter that interconnects with an attachment and may assist in placing an implant or in driving a portion. The device 52 can include a graspable or manipulable portion at a proximal end and the tracking device 58 may be fixed near the manipulable portion of the device 52 or at a distal working end, as discussed herein. The tracking device 58 can include an electromagnetic sensor to sense the electromagnetic field generated by the coil array 46 that can induce a current in the electromagnetic device 58. Alternatively, the tracking sensor 54a, 58 can be driven (i.e., like the coil array above) and the tracking array 46, 46a can receive a signal produced by the tracking device 54a, 58.


The dynamic reference frame 54 may be fixed to the patient 14 adjacent to the region being navigated so that any movement of the patient 14 is detected as relative motion between the coil array 46 and the dynamic reference frame 54. The dynamic reference frame 54 can be interconnected with the patient in any appropriate manner, including those discussed herein. This relative motion is forwarded to the coil array controller 48, which updates registration correlation and maintains accurate navigation, further discussed herein. The dynamic reference frame 54 may be any appropriate tracking sensor used as the dynamic reference frame 54 in the navigation system 10. Therefore the dynamic reference frame 54 may also be optical, acoustic, etc. If the dynamic reference frame 54 is electromagnetic it can be configured as a pair of orthogonally oriented coils, each having the same center or may be configured in any other non-coaxial or co-axial coil configurations.


Briefly, the navigation system 10 operates as follows. The navigation system 10 creates a translation map between all points in the image data generated from the imaging device 12 which can include external and internal portions, and the corresponding points in the patient's anatomy in patient space. After this map is established, whenever the tracked device 52 is used the work station 31 in combination with the coil array controller 48 and the C-arm controller 28 uses the translation map to identify the corresponding point on the pre-acquired image or atlas model, which is displayed on display 34. This identification is known as navigation or localization. An icon representing the localized point or instruments is shown on the display 34 within several two-dimensional image planes, as well as on three and four dimensional images and models.


To enable navigation, the navigation system 10 must be able to detect both the position of the patient's anatomy and the position of the instrument 52 or attachment member (e.g. tracking device 58) attached to the instrument 52. Knowing the location of these two items allows the navigation system 10 to compute and display the position of the instrument 52 or any portion thereof in relation to the patient 14. The tracking system 44 is employed to track the instrument 52 and the anatomy simultaneously.


The tracking system 44, if it is using an electromagnetic tracking assembly, essentially works by positioning the coil array 46 adjacent to the patient space to generate a magnetic field, which can be low energy, and generally referred to as a navigation field. Because every point in the navigation field or patient space is associated with a unique field strength, the electromagnetic tracking system 44 can determine the position of the instrument 52 by measuring the field strength at the tracking device 58 location. The dynamic reference frame 54 is fixed to the patient 14 to identify the location of the patient in the navigation field. The electromagnetic tracking system 44 continuously recomputes the relative position of the dynamic reference frame 54 and the instrument 52 during localization and relates this spatial information to patient registration data to enable image guidance of the device 52 within and/or relative to the patient 14.


Patient registration is the process of determining how to correlate the position of the instrument 52 relative to the patient 14 to the position on the diagnostic or pre-acquired images. To register the patient 14, a physician or user 67 may use point registration by selecting and storing particular points (e.g. fiducial points 60) from the pre-acquired images and then touching the corresponding points on the patient's anatomy with the pointer probe 66. The navigation system 10 analyzes the relationship between the two sets of points that are selected and computes a match, which correlates every point in the image data with its corresponding point on the patient's anatomy or the patient space. The points that are selected to perform registration are the fiducial markers or landmarks 60, such as anatomical landmarks. Again, the landmarks or fiducial points are identifiable on the images and identifiable and accessible on the patient 14. The landmarks 60 can be artificial landmarks 60 that are positioned on the patient 14 or anatomical landmarks that can be easily identified in the image data. The artificial landmarks, such as the fiducial markers 60, can also form part of the dynamic reference frame 54, such as those disclosed in U.S. Pat. No. 6,381,485, entitled “Registration of Human Anatomy Integrated for Electromagnetic Localization,” issued Apr. 30, 2002, herein incorporated by reference.


The system 10 may also perform registration using anatomic surface information or path information as is known in the art (and may be referred to as auto-registration). The system 10 may also perform 2D to 3D registration by utilizing the acquired 2D images to register 3D volume images by use of contour algorithms, point algorithms or density comparison algorithms, as is known in the art. An exemplary 2D to 3D registration procedure is set forth in U.S. Ser. No. 10/644,680, entitled “Method and Apparatus for Performing 2D to 3D Registration” filed on Aug. 20, 2003, hereby incorporated by reference.


Also as discussed herein, a substantially fiducial-less registration system can be provided, particularly if the imaging device 12 and the tracking system 44 are substantially integrated. Therefore, the tracking system 44 would generally know the position of the imaging device 12 relative to the patient 14 and fiducials may not be required to create registration. Nevertheless, it will be understood that any appropriate type of registration system can be provided for the navigation system 10.


In order to maintain registration accuracy, the navigation system 10 continuously tracks the position of the patient 14 during registration and navigation. This is because the patient 14, dynamic reference frame 54, and transmitter coil array 46 may all move during the procedure, even when this movement is not desired. Alternatively the patient 14 may be held immobile once the registration has occurred, such as with a head frame. Therefore, if the navigation system 10 did not track the position of the patient 14 or area of the anatomy, any patient movement after image acquisition would result in inaccurate navigation within that image. The dynamic reference frame 54 allows the electromagnetic tracking system 44 to register and track the anatomy. Because the dynamic reference frame 54 is rigidly fixed to the patient 14, any movement of the anatomy or the coil array 46 is detected as the relative motion between the coil array 46 and the dynamic reference frame 54. This relative motion is communicated to the coil array controller 48, via the navigation probe interface 50, which updates the registration correlation to thereby maintain accurate navigation.


The navigation system 10 can be used according to any appropriate method or system. For example, pre-acquired images, atlas or 3D models may be registered relative to the patient and patient space, as discussed further herein. Generally, the navigation system allows the images on the display 34 to be registered and accurately display the real time location of the various instruments and other appropriate items, such as the trackable pointer. In addition, the pointer may be used to register the patient space to the pre-acquired images or the atlas or 3D models. In addition, the dynamic reference frame 54 may be used to ensure that any planned or unplanned movement of the patient or the receiver array 46 is determined and used to correct the image on the display 36.


With additional reference to FIG. 2, the dynamic reference frame 54 can be affixed to any appropriate portion of the patient 14, and can be used to register the patient to the image data, as discussed above. For example, when a procedure is being performed relative to a cranium 17, the dynamic reference frame 54 can be interconnected with the cranium 17. The dynamic reference frame 54 can be interconnected with the cranium 17 in any appropriate manner, such as those discussed herein according to various embodiments.


To obtain a maximum reference it can be selected to fix the dynamic reference frame 54 in each of at least 6 degrees of freedom. Thus, the dynamic reference frame 54 can be fixed relative to axial motion X, translational motion Y, rotational motion Z, yaw, pitch, and roll relative to the portion of the patient 14 to which it is attached. Any appropriate coordinate system can be used to describe the various degrees of freedom. Fixing the dynamic reference frame relative to the patient 14 in this manner can assist in maintaining maximum accuracy of the navigation system 10.


In addition the dynamic reference frame 54 can be affixed to the patient in such a manner that the tracking sensor portion thereof is immovable relative to the area of interest, such as the cranium 17. A head band may form a part of the dynamic reference from 54. Further, a stereotactic frame, as generally known in the art, can be attached to the head band. Such systems for tracking and performing procedures are disclosed in U.S. patent application Ser. No. 10/651,267, filed on Aug. 28, 2003, and incorporated herein by reference.


The instrument 52 can be a DBS probe, a MER device, a catheter, etc. and each can include at least one of the tracking devices, such as the tracking device 58. The tracking device 58 can be any appropriate tracking device and can be formed in any appropriate manner such as the catheters described in pending U.S. patent application Ser. No. 11/241,837, filed on Sep. 30, 2005, incorporated herein by reference.


The catheter 52 can include the tracking device 58 at any appropriate position, such as near a distal end of the catheter 52. By positioning the tracking device 58 near the distal end of the catheter 52 knowing or determining a precise location of the distal end can be efficient. Determining a position of the distal end of the catheter 52 can be used to achieve various results, such as determining a precise position of the distal end of the catheter 52, a precise movement of the distal end of the catheter 52. It will be understood that knowing a position and moving the catheter 52 in a precise manner can be useful for various purposes, including those discussed further herein. Likewise, the catheter 52 can be directable according to various mechanisms and such as directing or pulling wires, directing or pulling signals, or any appropriate mechanism generally known in the art.


The catheter 52 can be used for various mechanisms and methods, such as delivering a material to a selected portion of the patient 14, such as within the cranium 17. The material can be any appropriate material such as a bioactive material, a pharmacological material, a contrast agent. Instead of a material, a therapy such as electrical stimulation can be used with a deep brain stimulation probe (DBS). The DBS can be used to apply a voltage, a pulse width, etc. to a selected portion of the brain.


As mentioned briefly above, the display 34 can display any appropriate type of image data 36. For example, the image data 36 can include patient specific image data that can be acquired at any appropriate time. The image data can include magnetic resonance imaging data (MRI) that can provide structural anatomical image data of the patient 14. The image data can be displayed on the display 34 for use during a procedure by the user 67. The display on the display 34 can also include various atlas image data. Atlas image data can include two-dimensional image data sets, three-dimensional image data sets, and even four-dimensional image data sets that show the change of various anatomical structures over time.


With reference to FIG. 3, a three-dimensional atlas data set 100 is illustrated for a neurological region. The neurological region illustrated in FIG. 3 can be any appropriate neurological region, such as a sub-thalamic nucleus, a cerebrum, or the like. In addition, the three-dimensional atlas 100 can be used to identify various regions of the anatomy of the patient 14 on the display 34. For example, the atlas image 100 can be registered to the image data 36 in any appropriate manner. For example, the atlas can be registered to the image data using generally known algorithms, registration or fiducial markers, and the like. Nevertheless, the 3-D atlas 100 can be used to identify or assist in identifying various landmarks within the image data 36 of the patient 14. Certain algorithms can include shape matching, space matching, or structure matching. Shape fitting algorithms can include least square fitting to match one image to another.


With reference to FIG. 4, a 2-D atlas image data 102 can be overlaid on the image data 36 of the patient 14. The display 34 can include various regions that show the image data 36 of the patient 14 from a plurality or any appropriate perspectives. In addition, the display device 34 can display a position of the instrument 52 with an icon 52i. The icon 52i can illustrate a position of the instrument 52 relative to a selected portion of the anatomy, such as identified by the atlas 102 or any other appropriate procedure. The atlas 102 can also be registered to the image data 36 of the patient 14 according to various known techniques, including various automatic or manual registration techniques. The registration of the atlas data 102 to the image data 36 can assist in identifying various anatomical and functional landmarks or portions of the anatomy of the patient 14.


With reference to FIG. 5, the display 34 can be used to display various types of image data, including the image data 36 of the patient 14, and atlas image data relative thereto. The appropriate type of image data displayed on the display 34 can then be used to plan a selected procedure. The planning can occur substantially pre-operatively or intra-operatively. Nevertheless, various targets 104, 106 can be displayed on the display 34 as can various trajectories 108, 110. The targets 104, 106 and the trajectories 108, 110 can be displayed on the display 34 for selection by the user 67. It will be understood that the plan can be prepared at any appropriate time to assist in performing the procedure with the navigation system 10. Also, the plan can be created manually, automatically, or combinations thereof. The plan, including a target and trajectory, can then be selected manually, automatically, or combinations thereof.


The planning procedure can use the atlas data, and functional data, discussed further herein, to assist in determining the appropriate location of the targets 104, 106. In addition, the anatomical and functional features identified in the image data 36 can be used to assist in determining the appropriate trajectory 108, 110. Various aiming devices can also be tracked in addition to tracking the instrument 52, as discussed further herein. The identification of appropriate trajectories 108, 110 or the selection of one of many trajectories, such as the selected trajectories 108, 110 can be used to assist in positioning an appropriate aiming device or the instrument 52 during a procedure.


The planning information displayed on the display 34 can also be used post-operatively to determine whether the device, such as a deep brain stimulation probe, was implanted or positioned at an appropriate location, such as a planned location 104, 106. The planning information displayed on the display 34 can be compared to post-operative image data, such as a post-operative MRI of the patient 14, to assist in determining the success or the final positioning of the selected implant. In addition, the post-operative information can be used with the optimization/programming system for the device in block 5 to assist in ensuring that an appropriate lead, therapy, or the like is provided to the selected or target location. Therefore, the planning information on the display 34 can be used to assist in ensuring that an appropriate therapy is provided to the patient, as discussed further herein.


With reference to FIG. 6, various types of anatomical or physiological information can be collected using any appropriate system and can be provided as the data 2. For example, a micro-electrode recorder (MER) can be moved through the anatomy of the patient 14. The image data 36 can be displayed on the display 34 and a position of the MER, which can be the instrument 52, can be displayed as the MER icon 120. The MER icon 120 can be displayed or superimposed on the image data 36 and also on the atlas data 102. Although the atlas data 102 can assist in determining a position of a selected location in the image data 36, the MER can be used to assist in further refining a location within the anatomy of the patient 14. Additional icons, such as bread crumb icons 122 can be displayed superimposed on the image data 36, the atlas data 102, etc. to illustrate various changes or sensed anatomical locations based upon the information recorded by the MER. The bread crumbs 122 can assist in determining a selected region, such as a functional or anatomical region, within the image data 36. A generally known recording for a selected region of the anatomy can be recorded with the MER 120 to verify the identity of an anatomical or functional portion and a location of the MER 120 can be determined via the navigation system 10. The determined location of a selected region, such as the thalamus, can be detected with the MER and can be displayed on the display 34 with one of the bread crumbs 122. The atlas location from the atlas data 102 can then be refined when being superimposed on the image data 36 of the patient 14. Also, refinement of the atlas data 102 can also be used to refine the location of other atlas or mapped locations that are illustrated with the atlas data 102.


The data used to refine the atlas data 102 or the data 2 can also be used during an operative procedure. The anatomy and neurophysiology that is depicted by the atlas data 102 and the plan created may show the probe as navigated in one location, but the intra-operative functional data may confirm it to be in another location (due to clinical shifting, etc.). To determine the next steps, or help refine a trajectory, path, or treatment should be chosen for the therapy, the atlas data 102 can be manipulated to match the intra-operative functional and observed data


It will be understood that any appropriate recording or sensing device can also be used in addition or alternatively to the MER. Other appropriate or selected sensing probes, such as an optical coherence sensor, or the like can be used to provide an appropriate anatomical or functional landmark or structure information. The atlas 102 can be enhanced or further augmented based upon the probe information to assist in determining an appropriate transformation or customization of the atlas relative to the image data 36. It will be further understood that the atlas data can be the 3D atlas data 100 or any other appropriate atlas data and need not necessarily be the 3D atlas data.


As discussed above, the atlas data, which can include the 3D data 100 or 2D data 102, can be provided. The 2D and 3D data can be displayed for viewing on the display device 34. Further, the atlas data information can be registered with the patient image information. The registration can include custom patient alignment. For example, the anterior commissure and the posterior commissure can be determined with Talairach scaling. Also, basal ganglia and local non-linear alignment or global non-linear alignment can be determined. The data can be used for digital mapping of the selected portion of the anatomy, such as the brain. Further, automatic fit or cell types can be determined. That is, cell types in the image data can be determined and displayed on the display 34 for use by the user 67. In addition, the MER can be used for automated fitting, such as by determining or assisting the determination of different cell types or anatomical or functional regions and fitting the atlas 100, 102 to the image data 36. In addition, back projection of physiology or back projection of therapeutic contacts can be used in physical atlases.


The atlas data allows for the statistical or general mapping or indication of various portions of the anatomy, such as portions in the brain, portions in the spinal cord, various anatomical features, or the like. Atlas data can be based upon various procedures or studies, such as well understood and studied anatomical scans. For example, the Schaltenbrand-Wharen or Talairach atlases are generally accepted and well understood atlases of the human brain. Portions that are identified within the Schaltenbrand-Wharen or Talairach atlases can be the atlas data that is used, as discussed above, and herein.


The atlas data can be used at any appropriate time. For example, the atlas data can be superimposed or registered to the image data of the patient for planning a procedure. The atlas data can also be superimposed or registered to the image data for use during a procedure, such as to assist in navigation. The additional instruments, such as the MER, can be used to verify the locations of various portions of the anatomy based upon the atlas data. The MER can be introduced into the brain to record activity within the brain to confirm locations identified with the atlas data.


The feedback loop 6 in the optimization procedure 1 can be used to enhance the atlas data. The atlas data can be stored in the memory system, or any appropriate memory system, and can be augmented based upon information from the procedure or post procedure follow-up. The detected or confirmed location of an anatomical feature or target, can be used to augment or provide a statistical range of the atlas data for use in future procedures. It will be understood, the atlas data can represent any appropriate data 2.


The atlas data can also be used post operatively. For example the atlas data can be superimposed onto image data acquired post operatively of a patient. The atlas data can be used to confirm long time positioning of various implants or instruments, such as DBS leads. Therefore, the atlas data can be used at any appropriate time relative to a procedure time.


With reference to FIG. 7, the image data 36 can be displayed on the display 34. The instrument 52 can include a deep brain stimulation probe 140. The DBS probe 140 can be the instrument 52 being tracked for determining its position in the brain. In addition, the stereotactic frame 80 can be provided according to various embodiments as an aiming device 142. According to various embodiments, including those discussed above, a tracking device can be positioned relative to the DBS probe. For example, a tracking device can include a small electromagnetic coil positioned at a tip 144 of the DBS probe 140. In addition, the stereotactic or aiming device 142 can be tracked by the tracking system 44 for navigation with the navigation system 10. Regardless, the location of the tip 144 of the DBS probe 140 can be displayed relative to the image data 36. For example, an icon can be displayed on or relative to the image data 36 for illustration of the position of the tip 144 of the DBS probe while performing the procedure in block 4.


The provision of the various atlas data 100, 102 and the image data 36 of the patient 14, including other information, such as the physiological data from block 2c, can assist in registration and determination of various targets and an appropriate aiming of the aiming device 142. In addition, the tip 144 of the DBS probe 140 can be substantially precisely tracked due to various elements, such as the positioning of the tracking device 58 at the tip 144, the aiming device 142, or other appropriate mechanisms. Regardless, the exact location of the tip 144 can be navigated relative to a selected portion of the patient 14, such as the target 104, 106 defined during the planning procedure. This can allow for determination or correct placement of a select instrument, such as a DBS probe. It will be understood that any appropriate instrument can be positioned relative to the patient 14 and the DBS probe is merely exemplary. However, the precise positioning, in addition to determination of the appropriate target based on the data provided as discussed above, can assist in performing the appropriate procedure.


Although the procedure can be navigated, as illustrated in FIG. 7, direct visualization can occur via the imaging system 12 or any appropriate imaging system. Returning reference to FIGS. 2, 2A and 2B, the navigation system 10′ can include an alternative imaging device 12′, such as an intraoperative MRI system 12′ (FIG. 2A) or O-Arm™ imaging system 12″ (FIG. 2B). A work station 31′ can be provided to control various portions, such as the alternative imaging device 12′, and the optical localization system 44″. Therefore, one skilled in the art will understand that the appropriate navigation system can be provided and the navigation systems 10, 10′ are merely exemplary. Further, direct visualization can be used to assist in the performing of the selected procedure. Therefore, navigation, with or without images, is merely exemplary and can be used to assist the user 67 in performing a selected procedure.


As illustrated in FIG. 7, the instrument 52 can include a the DBS 140. When positioning the DBS probe 140, it can be navigated with an electromagnetic navigation system or electromagnetic tracking system, as discussed above. In addition, the DBS probe 140 or any appropriate instrument can be positioned with no line of sight navigation. This can include positioning or navigation of the instrument simply by navigating the instrument based upon the various visualization techniques, including the image data obtained of the patient and registered to various atlas information or other appropriate systems.


Further, the image data can be used for navigation by the user 67 with the navigation system 10, 10′ in any appropriate manner. As discussed above, fiducials 60 can be provided for use to register patient space to image space. Alternatively, or in addition thereto, substantially fiducial less registration can be provided. Fiducialless registration can include providing an imaging system 12, 12′, 12″ integrated with the tracking system 44, 44′, 44″. The imaging system 12, 12′, 12″ can be integrated into the tracking system 44, 44′, 44″ so that the position of the imaging device 12, 12′, 12″ is known by the tracking system 44, 44′, 44″ so that the navigation system 10, 10′ acts as one system. In this case, fiducials may not be required to register the image data with the patient space.


In addition, substantially automatic registration can include positioning the tracking device 54a substantially on the top or integrally with the fiducial 60 During the acquisition of the images, the fiducial 60 is present and the tracking device 54a can be interconnected with the fiducial 60 or at substantially the same location after imaging. Therefore, the tracking system 44 can determine the position of the tracking device 54a once the patient 14 is moved into the localization field and substantially automatic registration can occur if the fiducial points in the image data are determined.


With integration of the imaging system and the tracking system, the integrated navigation system can be provided for post-operative confirmation. That is the navigation system can be used to confirm the positioning of the instrument, such as the DBS probe 140, in the procedure. The post-operative confirmation can be substantially immediately post-operative or at a later time, but can be used to ensure the appropriate positioning of the probe 140. The position of the probe 140 can again be determined based upon the atlas information, which can be provided relative to post-operative image data or any other appropriate system.


As discussed above, any appropriate procedure can occur. For example, the positioning of a deep brain stimulation probe 140 can be performed. As is generally known in the art, the deep brain stimulation probe is then programmed or can be programmed post-operatively to apply a selected therapy, such as a voltage to the area of the anatomy relative to positioning of the probe. It will be understood, however, that any other appropriate therapy can be provided, such as a pharmaceutical delivery, a gene or cell therapy, a radiation therapy, or the like. The exemplary discussion of a deep brain stimulation programming is provided for illustration. Further, as discussed above, the appropriate positioning of the deep brain stimulation probe can be provided based upon atlas data, physiological, or patient specific data (e.g., image data of the patient, physiological data of the patient, MER data of the patient, optical coherence tomography data of the patient).


With reference to FIG. 8, the various physiological data can be provided with any appropriate system, such as the MER, optical coherence tomography, or the like. Further, these various instruments can be tracked with the tracking system 44, 44′, 44″ as discussed above. Therefore, the exact position of various portions of the anatomy, such as portions of the brain, can be determined and sensed with the various sensing probes or recorders. This can allow the image data to be substantially real time mapped for use in the procedure in block 4. For example, the atlas data 102, 104 can be substantially real time updated, morphed or translated for use during the procedure with sensing probes, such as the MER. This can assist in determining an exact location of various anatomical structures or functional structures for assisting in determining a selected position to implant the DBS probe 140, or any appropriate system or implant. The determination of physiological data can assist during a procedure to ensure an appropriate identification of a selected anatomical or functional structure and can assist in updating, in substantially real time, a selected physical or functional map of the anatomy. Tracking the instrument while determining the physiological feature assists in its appropriate determination and location.


The placement and appropriate therapy can be determined using the various data, such as the patient specific data, including physiological image data, and atlas data. For example, the work station 31, illustrated according to various embodiments in FIG. 8, can include the display 34 that displays the image data 36 and the atlas data 102. Further, displayed relative to the image data 36 and the atlas data 102 can be an icon 150 illustrating a position of the DBS probe 140 in the anatomy. The illustration of the probe as the icon 150 can also be provided for substantially post-operative programming of the implant.


It will be understood that the position of the probe in the anatomy can be determined in any appropriate manner, such as based upon the navigation during the procedure, based on post-operative imaging of the patient, based on post-operative tracking of the tracking sensor, or any appropriate manner. Nevertheless, the determination of the position of the probe and its illustration as the icon 150 relative to the image data 136 can be used to assist in programming the DBS probe or lead in an appropriate manner. Further, the various data collected during the procedure can also be illustrated relative to the image data 36 and the atlas data 102, such as the neuro-physiological data that can be collected with the various instruments, such as the MER or optical coherence tomography. This information, including the physiological data, functional data, and location data, can also be used for later programming and operation of the DBS lead. For example, the location of the lead relative to a functionally identified region of the anatomy can be used to assist in programming the amount of therapy to be delivered from the lead.


With continuing reference to FIG. 8, the workstation 31 can be used to program an implant, such as the DBS probe or lead. It will be understood that the workstation 31 can be the workstation 31 used during the navigation or can be any appropriate workstation. The workstation 31 can allow programming of the DBS probe in a generally known manner. Information from the procedure during which the implantation of the instrument occurred can be used. Further, the data from block 2 of the optimization procedure can be used to assist in the programming of the implants. Programming the implants can include determining a voltage level, determining a pulse width, frequency, power level, frequency, or other features. The information from the procedure, such as the exact location within the brain, the determined anatomical or functional structures near the position of the implant, or the like can be used in programming the implants. Therefore, the information obtained during a procedure can be used both in a general statistical sense, for use with other patients, and for use in post-operative work on a specific patient.


With reference to FIGS. 9A and 9B, the display of the image data 36 including the icon 150 of the DBS probe can be illustrated relative to a first therapy icon 152a. It will be understood that the representation of the atlas 102 can also be included if selected, and its absence from FIGS. 9A and 9B is merely for clarity of the illustration. Nevertheless, when the probe is being programmed, which can occur substantially intraoperatively or post-operatively, a selection of a voltage, a pulse width, or other appropriate programmable features, including a selection of appropriate leads can be used.


The therapy icon 152a can illustrate an assumed or predicted treatment affected area. The therapy icon 152a can illustrate a size, density amount, etc. of the therapy. The therapy icons, according to various embodiments, generally illustrate a localized affect on the anatomy. The localized affect or treatment area can be based upon the data 2. Generalized affects on the patient can be determined after the therapy is applied, such as reduction of Parkinson's disease symptoms.


The first or initial therapy icon 152a can illustrate an affected area based upon a selected or programmed therapy for viewing by a user, which can include the surgeon 67. It will be understood that the initial therapy icon 152a can illustrate a size, a geometry, a density, and the like of the therapy that is selected or programmed. It will be understood that the initial icon 152a can merely be a virtual representation of the predicted effect of a selected therapy. In addition, it will be understood that the image data 36 and the various icons can be two-dimensional, three-dimensional, four-dimensional or the like. Therefore, the representation of the two-dimensional image data 36 and the two-dimensional initial therapy icon 152a is merely exemplary. Nevertheless, the initial therapy icon 152a can illustrate the possible or selected affect area of a selected therapy on the anatomy.


Turning to FIG. 9B, the image data 36 can be illustrated with the probe icon 150 and a secondary therapy icon 152b. The secondary therapy icon 152b can illustrate a predicted affect of a second selected therapy, such as a higher pulse width. The higher pulse width may affect a higher density or higher number of cells within a selected geometrical region. Therefore, the second therapy icon 152b can illustrate or graphically illustrate the higher density of the cells being affected. Therefore, the initial therapy icon 152a can be substantially transparent while the second therapy icon 152b may be substantially opaque.


The icons 152a, 152b can illustrate representation of a possible or selected therapy on the patient prior to instigating a therapy on the patient. This can allow for substantially a graphical programming of the implant to make the programming of the implant more efficient and require fewer attempts to obtain an optimal therapy. The predicted affect using the therapy icons 152a, 152b can also be used during the procedure to ensure that an instrument is positioned in an appropriate location for the selected or predicted therapy.


The therapy icons 152a, 152b, according to various embodiments, can be used to predict an area that will be affected by therapy, ensure that an instrument is implanted in the appropriate location for providing a therapy, or a procedure to position an instrument to provide a therapy. Therefore, it will be understood, that the therapy icons are not only provided for a single part of the procedure, but can be provided for multiple parts of the procedure. The therapy icons can be used to plan a procedure, perform a procedure, and post operatively to provide a treatment to the patient. In any of these situations, the icons can be displayed on the display device for use by the user 67 to optimize the therapy for the patient 14.


In addition to a therapy density, a therapy field of shape, depth, or other geometry can also be selected and visualized. With reference to FIGS. 10A and 10B, and initially to 10A, the image data 36 can be illustrated relative to a second initial therapy icon 160. The second initial therapy icon can include two lobes or portions 160a and 160b. The two portions 160a, 160b of the second initial therapy icon 160 are merely exemplary of any appropriate or possible geometrical shape. Nevertheless, the second initial therapy icon 160 can illustrate that a proposed or selected therapy will affect a region generally having a longitudinal axis A. The longitudinal axis A may be provided relative to the image data 36 for viewing by the user 67. The longitudinal axis A and the icon portions 160a, 160b can be used by the user to determine whether a selected geometrical area is appropriate for the provided therapy. Further, the icon portions 160a, 160b can also include differing opacities to represent different densities of the therapy.


With reference to FIG. 10B, a secondary therapy icon 170 is illustrated. The second secondary therapy icon 170 can include a first portion 170a and a second portion 170b. The two portions 170a and 170b can define a longitudinal axis B relative to the image data 36. The longitudinal axis B can be different than the longitudinal axis A, such as including a different angle relative to the image data 36. Although the icon portions 170a, 170b can include different opacities or similar opacities, the icons can represent a different geometrical shape relative to the image data 36 of the patient 14. The different geometrical shapes can illustrate a different geometrical application of the therapy relative to the patient, illustrated in the image data 36.


The therapy icons can be illustrated in any appropriate orientation relative to the image data or atlas data. The illustration of the therapy icons, whether to illustrate a different size, different therapy type, different therapy amounts, or the like can be illustrated for procedure planning, procedure performance, or post operative treatment provisions. Moreover, the therapy icons can be illustrated to assist a user in determining an appropriate or optimal therapy provision. For example, the user can view on the display device the predicted therapy and determine the effect of the treatment on the patient. Therefore, the therapy icons can be used to determine whether a predicted therapy is having a predicted affect on the patient 14.


It will be understood that the various icons 152, 160 and 170 can represent two-dimensional, three-dimensional, four-dimensional, or any appropriate geometrical shapes. The icons provide a graphical representation of a proposed or selected therapy on the image data 36 of the patient 14. The icons 152, 160, 170 can illustrate a depth, geometry, affected area, amount of affected cells, charge over time, etc. of the selected therapy. The graphical representation can be used by the user 67 to assist in determining the appropriateness of the selected therapy. In addition, the graphical representation can be used to ensure that the therapy is being provided to an appropriate location within the anatomy. Again, the provision of the atlases 102, 104 can assist in this. Also, the various data that is determined intraoperatively or post-operatively, such as the physiological data, can be used to ensure or augment or customize the atlases relative to the particular patient 14. Therefore, the image data 36 during the programming phase in block 5 can also be illustrated or displayed relative to the atlas data to assist in determining whether the therapy is being applied to a selected or appropriate location.


Thus, one skilled in the art will understand that the optimization system 1 can be used to assist in all of a preoperative planning, an intraoperative procedure, and a post-operative follow up or programming. The programming can be of any appropriate system, such as the deep brain stimulator, a therapy application, a pacer, or any appropriate implant system. In addition, the optimization system 1 can include any appropriate or be used with any appropriate navigational or imaging system to assist in obtaining the appropriate image data. Also the various probes or sensors, such as the MER, can be used to assist in customizing an atlas relative to the particular patient to assist in locating or determining appropriate anatomical or functional regions.


The optimization system 1, diagrammatically illustrated in FIG. 1, and taught and described above, can be provided with a substantially graphical user interface (GUI) to assist in performing a procedure. As illustrated in FIG. 11, a system with a selected GUI can be provided for use with the system 1. The various illustrations include exemplary screen shots from the work station 31. The image data 36 can be provided on the display 34 for manipulation by a user employing the user input 38. As illustrated above, various types of data can be provided that include those graphically illustrated in block 202 in FIG. 11. It will be understood that additional information can also be provided, including an optical coherence data, illustrated in FIG. 12 below. The optical coherence data 220 can be displayed relative to a graphical or diagrammatic representation of the brain 221 and an instrument obtaining the optical coherence data.


The data, with reference to FIGS. 11 and 12, can include image data 36 and an initial atlas fitting, such as the two-dimensional atlas 102. In addition, various types of physiological data can be provided, such as with an MER that can create or report an electrical signal 204. The electrical signal 204 can be illustrated on the display 34 and can also be illustrated relative to a diagram or position of the MER, in the anatomy of the patient 14 relative to the image data 36. A substantially pre-registered or custom display of the atlas data can be provided or illustrated at block 206. The various data, such as data recorded by the MER can be illustrated as various icons 208. The various icons 208 or the data recorded by the MER can be used to create a substantially custom or real time registration or morph of the atlas data 102 to the image data 36 of the patient. This can allow substantially real-time registration of the atlas 102 to the patient data 36. This can also allow for a substantially precise locating or positioning of various portions, such as a deep brain stimulation probe relative to the patient using the image data 36.


A graphical planning can be provided based upon the various data collected either intraoperatively or preoperatively. The planning, graphically illustrated at 210, can occur at any appropriate time, as discussed above. Further, the planning or planned procedure can be changed substantially intraoperatively based upon obtained information, including the substantially real time registration or morphing of the atlas data 102 to the patient data or image data 36.


The various types of data can then be used to assist in programming or selecting a particular therapy. The optimization programming of block 5 is graphically illustrated in block 212. As discussed above, the various graphical displays can illustrate icons that illustrate how a therapy is predicted to affect various portions of the anatomy and can be used to substantially, precisely and efficiently program a particular therapy, such as a deep brain stimulation, cell therapy, gene therapy, or the like. Nevertheless, the icons can assist in determining or illustrating how a therapy will likely affect various portions of the anatomy and can be used to assist in more precisely or efficiently programming the system. Also as discussed above, the illustration of how a therapy might affect the anatomy can be used in planning the procedure, such as selecting an appropriate target, trajectory, or the like.


Moreover, the target can be reached based upon a linear or non-linear path. Optimization of a therapy can include determining the appropriate path and trajectory to reach a selected location in the anatomy. Again, the data 2 can assist in identifying regions of the anatomy to provide a treatment to and assist in identifying the trajectory or path to reach the target for therapy.


One skilled in the art will understand that the predicted affected or therapy icons illustrated an empirical physiological effect. The actual effect on the patient's symptoms can differ from patient to patient. Therefore, the icons can be used in future models and also to determine an amount or location of treatment provided to a selected patient. As the therapy for the selected patient is refined, reference can be made to the previous therapy areas or type illustrated with the icons.


The description of the present teachings is merely exemplary in nature and, thus, variations that do not depart from the gist of the present teachings are intended to be within the scope of the present teachings. Such variations are not to be regarded as a departure from the spirit and scope of the present teachings.

Claims
  • 1. A system for performing a procedure on an anatomy of a patient, comprising: a first memory system configured to store database data;an instrument having a sensor configured to be positioned in a brain of the patient to obtain functional patient specific data; anda processor operable to access the first memory system and operable to execute instructions to: perform an initial registration of a patient specific image data and the database data, andperform a second registration of the patient specific image data and the database data after the initial registration based at least in part on the functional patient specific data obtained with the sensor from the patient with the instrument having the sensor.
  • 2. The system of claim 1, wherein the database data includes atlas data, average functional data, the functional patient specific data previously acquired, or combinations thereof.
  • 3. The system of claim 1, further comprising: a display device operable to display the patient specific image data after performing the second registration; andwherein a first icon is displayed on the display device to identify a target in the patient specific image data displayed on the display device.
  • 4. The system of claim 3, wherein the first icon is illustrated at a location defined via a user input, an automatic determination of the target by the processor, or combinations thereof.
  • 5. The system of claim 3, wherein a second icon is displayed on the display device operable to illustrate a predicted localized physiological affect of a therapy superimposed on the patient specific image data.
  • 6. The system of claim 5, wherein the second icon displays a localized physiological affect of a voltage, an affect of a pulse width, an affect of a chemical volume delivered, an affect of a biological treatment delivered, an affect of a radiation treatment delivered, an affect of therapy over time, or combinations thereof.
  • 7. The system of claim 6, further comprising: a deep brain stimulation lead operable to be implanted in the anatomy of the patient; anda treatment device operable to be programmed to provide a therapy through the deep brain stimulation lead implanted in the anatomy based at least in part on the localized physiological affect displayed on the display device.
  • 8. The system of claim 7, further comprising: a tracking system including a localizer and a tracking device, wherein the tracking device is associated with at least one of the deep brain stimulation lead or the instrument.
  • 9. The system of claim 1, further comprising: an imaging system operable to obtain the patient specific image data; anda tracking system including a localizer and a tracking device;wherein a position of the tracking device is operable to be determined and indicated relative to the patient specific image data.
  • 10. The system of claim 1, wherein the functional patient specific data includes at least one of a microelectrode recording data, a pressure data, a gating data, or combinations thereof.
  • 11. The system of claim 1, wherein the instrument includes at least one of a microelectrode recorder, a catheter, a scope, a pressure monitor, or combinations thereof.
  • 12. A system for performing a procedure on an anatomy of a patient, comprising: an electronic processor to execute instructions to perform an initial registration of a patient specific image data and a database data at a first time; andan instrument having a sensing portion configured to be placed within the anatomy of the patient and to obtain functional patient specific data after the first time with the sensing portion;wherein the electronic processor executes further instructions to perform a second registration of the patient specific image data and the database data at a second time after the first time based at least in part on the functional patient specific data obtained with the instrument.
  • 13. The system of claim 12, further comprising: a first memory system configured to store the database data;wherein the electronic processor is in communication with the first memory system.
  • 14. The system of claim 13, further comprising: a display device in communication with the electronic processor and configured to display the patient specific image data after at least the second registration.
  • 15. The system of claim 14, further comprising: a tracking system having at least a tracking device associated with the instrument operable with a localizer to track a location of the instrument.
  • 16. The system of claim 15, wherein the tracking system includes at least one of an electromagnetic localizer or an optical localizer.
  • 17. The system of claim 15, wherein the electronic processor is configured to execute instructions to illustrate a tracked location of the instrument superimposed on the patient specific image data illustrated with the display device.
  • 18. The system of claim 13, further comprising: an imaging system operable to obtain the patient specific image data for registration to the database data.
  • 19. A system for performing a procedure on an anatomy of a patient, comprising: an instrument having a sensing portion to sense functional patient specific data in at least one location within the anatomy of the patient;a tracking system having at least a tracking device associated with the instrument to track the instrument in the at least one location within the anatomy of the patient;an electronic processor to execute instructions to perform a refined registration of a patient specific image data and a database data based upon at least one tracked location of the instrument; anda display device configured to display the patient specific image data and at least one icon superimposed on the patient specific image data displayed on the display device illustrating the at least one location of the functional patient specific data sensed with the sensing portion;wherein the refined registration follows an initial registration.
  • 20. The system of claim 19, wherein the electronic processor is further configured to execute instructions to perform the initial registration of the patient specific image data and the database data prior to the refined registration.
  • 21. The system of claim 20, further comprising: a deep brain stimulation lead configured to be placed at a patient target location represented in the patient specific image data.
  • 22. The system of claim 21, further comprising: an imaging system configured to obtain the patient specific image data.
  • 23. The system of claim 19, wherein the electronic processor is further configured to execute instructions to determine a patient target based on the performed refined registration.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a divisional of U.S. application Ser. No. 11/683,796 filed on Mar. 8, 2007, which claims the benefit of U.S. Provisional Application No. 60/848,442, filed on Sep. 29, 2006. The disclosures of the above applications are incorporated herein by reference.

US Referenced Citations (628)
Number Name Date Kind
1576781 Phillips Mar 1926 A
1735726 Bornhardt Nov 1929 A
2407845 Nemeyer Sep 1946 A
2650588 Drew Sep 1953 A
2697433 Sehnder Dec 1954 A
3016899 Stenvall Jan 1962 A
3017887 Heyer Jan 1962 A
3061936 Dobbeleer Nov 1962 A
3073310 Mocarski Jan 1963 A
3109588 Polhemus et al. Nov 1963 A
3294083 Alderson Dec 1966 A
3367326 Frazier Feb 1968 A
3439256 Kahne Apr 1969 A
3577160 White May 1971 A
3614950 Rabey Oct 1971 A
3644825 Davis, Jr. et al. Feb 1972 A
3674014 Tillander Jul 1972 A
3702935 Carey et al. Nov 1972 A
3704707 Halloran Dec 1972 A
3821469 Whetstone et al. Jun 1974 A
3868565 Kuipers Feb 1975 A
3941127 Froning Mar 1976 A
3983474 Kuipers Sep 1976 A
4017858 Kuipers Apr 1977 A
4037592 Kronner Jul 1977 A
4052620 Brunnett Oct 1977 A
4054881 Raab Oct 1977 A
4117337 Staats Sep 1978 A
4173228 Van Steenwyk et al. Nov 1979 A
4182312 Mushabac Jan 1980 A
4202349 Jones May 1980 A
4228799 Anichkov et al. Oct 1980 A
4256112 Kopf et al. Mar 1981 A
4262306 Renner Apr 1981 A
4287809 Egli et al. Sep 1981 A
4298874 Kuipers Nov 1981 A
4314251 Raab Feb 1982 A
4317078 Weed et al. Feb 1982 A
4319136 Jinkins Mar 1982 A
4328548 Crow et al. May 1982 A
4328813 Ray May 1982 A
4339953 Iwasaki Jul 1982 A
4341220 Perry Jul 1982 A
4346384 Raab Aug 1982 A
4358856 Stivender et al. Nov 1982 A
4368536 Pfeiler Jan 1983 A
4396885 Constant Aug 1983 A
4396945 DiMatteo et al. Aug 1983 A
4403321 Kruger Sep 1983 A
4418422 Richter et al. Nov 1983 A
4419012 Stephenson et al. Dec 1983 A
4422041 Lienau Dec 1983 A
4431005 McCormick Feb 1984 A
4485815 Amplatz et al. Dec 1984 A
4506676 Duska Mar 1985 A
4543959 Sepponen Oct 1985 A
4548208 Niemi Oct 1985 A
4571834 Fraser et al. Feb 1986 A
4572198 Codrington Feb 1986 A
4583538 Onik et al. Apr 1986 A
4584577 Temple Apr 1986 A
4608977 Brown Sep 1986 A
4613866 Blood Sep 1986 A
4617925 Laitinen Oct 1986 A
4618978 Cosman Oct 1986 A
4621628 Brudermann Nov 1986 A
4625718 Olerud et al. Dec 1986 A
4638798 Shelden et al. Jan 1987 A
4642786 Hansen Feb 1987 A
4645343 Stockdale et al. Feb 1987 A
4649504 Krouglicof et al. Mar 1987 A
4651732 Frederick Mar 1987 A
4653509 Oloff et al. Mar 1987 A
4659971 Suzuki et al. Apr 1987 A
4660970 Ferrano Apr 1987 A
4673352 Hansen Jun 1987 A
4688037 Krieg Aug 1987 A
4701049 Beckman et al. Oct 1987 A
4705395 Hageniers Nov 1987 A
4705401 Addleman et al. Nov 1987 A
4706665 Gouda Nov 1987 A
4709156 Murphy et al. Nov 1987 A
4710708 Rorden et al. Dec 1987 A
4719419 Dawley Jan 1988 A
4722056 Roberts et al. Jan 1988 A
4722336 Kim et al. Feb 1988 A
4723544 Moore et al. Feb 1988 A
4727565 Ericson Feb 1988 A
RE32619 Damadian Mar 1988 E
4733969 Case et al. Mar 1988 A
4737032 Addleman et al. Apr 1988 A
4737794 Jones Apr 1988 A
4737921 Goldwasser et al. Apr 1988 A
4742356 Kuipers May 1988 A
4742815 Ninan et al. May 1988 A
4743770 Lee May 1988 A
4743771 Sacks et al. May 1988 A
4745290 Frankel et al. May 1988 A
4750487 Zanetti Jun 1988 A
4753528 Hines et al. Jun 1988 A
4761072 Pryor Aug 1988 A
4764016 Johansson Aug 1988 A
4771787 Wurster et al. Sep 1988 A
4779212 Levy Oct 1988 A
4782239 Hirose et al. Nov 1988 A
4788481 Niwa Nov 1988 A
4791934 Brunnett Dec 1988 A
4793355 Crum et al. Dec 1988 A
4794262 Sato et al. Dec 1988 A
4797907 Anderton Jan 1989 A
4803976 Frigg et al. Feb 1989 A
4804261 Kirschen Feb 1989 A
4805615 Carol Feb 1989 A
4809694 Ferrara Mar 1989 A
4821200 Oberg Apr 1989 A
4821206 Arora Apr 1989 A
4821731 Martinelli et al. Apr 1989 A
4822163 Schmidt Apr 1989 A
4825091 Breyer et al. Apr 1989 A
4829373 Leberl et al. May 1989 A
4836778 Baumrind et al. Jun 1989 A
4838265 Cosman et al. Jun 1989 A
4841967 Chang et al. Jun 1989 A
4845771 Wislocki et al. Jul 1989 A
4849692 Blood Jul 1989 A
4860331 Williams et al. Aug 1989 A
4862893 Martinelli Sep 1989 A
4869247 Howard, III et al. Sep 1989 A
4875165 Fencil et al. Oct 1989 A
4875478 Chen Oct 1989 A
4884566 Mountz et al. Dec 1989 A
4889526 Rauscher et al. Dec 1989 A
4896673 Rose et al. Jan 1990 A
4905698 Strohl, Jr. et al. Mar 1990 A
4923459 Nambu May 1990 A
4931056 Ghajar et al. Jun 1990 A
4945305 Blood Jul 1990 A
4945914 Allen Aug 1990 A
4951653 Fry et al. Aug 1990 A
4955891 Carol Sep 1990 A
4961422 Marchosky et al. Oct 1990 A
4977655 Martinelli Dec 1990 A
4989608 Ratner Feb 1991 A
4991579 Allen Feb 1991 A
5002058 Martinelli Mar 1991 A
5005592 Cartmell Apr 1991 A
5013317 Cole et al. May 1991 A
5016639 Allen May 1991 A
5017139 Mushabac May 1991 A
5027818 Bova et al. Jul 1991 A
5030196 Inoue Jul 1991 A
5030222 Calandruccio et al. Jul 1991 A
5031203 Trecha Jul 1991 A
5042486 Pfeiler et al. Aug 1991 A
5047036 Koutrouvelis Sep 1991 A
5050608 Watanabe et al. Sep 1991 A
5054492 Scribner et al. Oct 1991 A
5057095 Fabian Oct 1991 A
5059789 Salcudean Oct 1991 A
5078140 Kwoh Jan 1992 A
5079699 Tuy et al. Jan 1992 A
5086401 Glassman et al. Feb 1992 A
5094241 Allen Mar 1992 A
5097839 Allen Mar 1992 A
5098426 Sklar et al. Mar 1992 A
5099845 Besz et al. Mar 1992 A
5099846 Hardy Mar 1992 A
5105829 Fabian et al. Apr 1992 A
5107839 Houdek et al. Apr 1992 A
5107843 Aarnio et al. Apr 1992 A
5107862 Fabian et al. Apr 1992 A
5109194 Cantaloube Apr 1992 A
5117836 Millar Jun 1992 A
5119817 Allen Jun 1992 A
5142930 Allen et al. Sep 1992 A
5143076 Hardy et al. Sep 1992 A
5152288 Hoenig et al. Oct 1992 A
5160337 Cosman Nov 1992 A
5161536 Vilkomerson et al. Nov 1992 A
5178164 Allen Jan 1993 A
5178621 Cook et al. Jan 1993 A
5186174 Schlondorff et al. Feb 1993 A
5187475 Wagener et al. Feb 1993 A
5188126 Fabian et al. Feb 1993 A
5190059 Fabian et al. Mar 1993 A
5193106 DeSena Mar 1993 A
5197476 Nowacki et al. Mar 1993 A
5197965 Cherry et al. Mar 1993 A
5198768 Keren Mar 1993 A
5198877 Schulz Mar 1993 A
5207688 Carol May 1993 A
5211164 Allen May 1993 A
5211165 Dumoulin et al. May 1993 A
5211176 Ishiguro et al. May 1993 A
5212720 Landi et al. May 1993 A
5214615 Bauer May 1993 A
5219351 Teubner et al. Jun 1993 A
5222499 Allen et al. Jun 1993 A
5224049 Mushabac Jun 1993 A
5228442 Imran Jul 1993 A
5230338 Allen et al. Jul 1993 A
5230623 Guthrie et al. Jul 1993 A
5233990 Barnea Aug 1993 A
5237996 Waldman et al. Aug 1993 A
5249581 Horbal et al. Oct 1993 A
5251127 Raab Oct 1993 A
5251635 Dumoulin et al. Oct 1993 A
5253647 Takahashi et al. Oct 1993 A
5255680 Darrow et al. Oct 1993 A
5257636 White Nov 1993 A
5257998 Ota et al. Nov 1993 A
5261404 Mick et al. Nov 1993 A
5265610 Darrow et al. Nov 1993 A
5265611 Hoenig et al. Nov 1993 A
5269759 Hernandez et al. Dec 1993 A
5271400 Dumoulin et al. Dec 1993 A
5273025 Sakiyama et al. Dec 1993 A
5274551 Corby, Jr. Dec 1993 A
5279309 Taylor et al. Jan 1994 A
5285787 Machida Feb 1994 A
5291199 Overman et al. Mar 1994 A
5291889 Kenet et al. Mar 1994 A
5295483 Nowacki et al. Mar 1994 A
5297549 Beatty et al. Mar 1994 A
5299253 Wessels Mar 1994 A
5299254 Dancer et al. Mar 1994 A
5299288 Glassman et al. Mar 1994 A
5300080 Clayman et al. Apr 1994 A
5305091 Gelbart et al. Apr 1994 A
5305203 Raab Apr 1994 A
5306271 Zinreich et al. Apr 1994 A
5307072 Jones, Jr. Apr 1994 A
5309913 Kormos et al. May 1994 A
5315630 Sturm et al. May 1994 A
5316024 Hirschi et al. May 1994 A
5318025 Dumoulin et al. Jun 1994 A
5320111 Livingston Jun 1994 A
5325728 Zimmerman et al. Jul 1994 A
5325873 Hirschi et al. Jul 1994 A
5329944 Fabian et al. Jul 1994 A
5330485 Clayman et al. Jul 1994 A
5333168 Fernandes et al. Jul 1994 A
5353795 Souza et al. Oct 1994 A
5353800 Pohndorf et al. Oct 1994 A
5353807 DeMarco Oct 1994 A
5359417 Muller et al. Oct 1994 A
5368030 Zinreich et al. Nov 1994 A
5371778 Yanof et al. Dec 1994 A
5375596 Twiss et al. Dec 1994 A
5377678 Dumoulin et al. Jan 1995 A
5383454 Bucholz Jan 1995 A
5385146 Goldreyer Jan 1995 A
5385148 Lesh et al. Jan 1995 A
5386828 Owens et al. Feb 1995 A
5389101 Heilbrun et al. Feb 1995 A
5391199 Ben-Haim Feb 1995 A
5394457 Leibinger et al. Feb 1995 A
5394875 Lewis et al. Mar 1995 A
5397329 Allen Mar 1995 A
5398684 Hardy Mar 1995 A
5399146 Nowacki et al. Mar 1995 A
5400384 Fernandes et al. Mar 1995 A
5402801 Taylor Apr 1995 A
5408409 Glassman et al. Apr 1995 A
5413573 Koivukangas May 1995 A
5417210 Funda et al. May 1995 A
5419325 Dumoulin et al. May 1995 A
5423334 Jordan Jun 1995 A
5425367 Shapiro et al. Jun 1995 A
5425382 Golden et al. Jun 1995 A
5426683 O'Farrell, Jr. et al. Jun 1995 A
5426687 Goodall et al. Jun 1995 A
5427097 Depp Jun 1995 A
5429132 Guy et al. Jul 1995 A
5433198 Desai Jul 1995 A
RE35025 Anderton Aug 1995 E
5437277 Dumoulin et al. Aug 1995 A
5443066 Dumoulin et al. Aug 1995 A
5443489 Ben-Haim Aug 1995 A
5444756 Pai et al. Aug 1995 A
5445144 Wodicka et al. Aug 1995 A
5445150 Dumoulin et al. Aug 1995 A
5445166 Taylor Aug 1995 A
5446548 Gerig et al. Aug 1995 A
5447154 Cinquin et al. Sep 1995 A
5448610 Yamamoto et al. Sep 1995 A
5453686 Anderson Sep 1995 A
5456718 Szymaitis Oct 1995 A
5457641 Zimmer et al. Oct 1995 A
5458718 Venkitachalam Oct 1995 A
5464446 Dreessen et al. Nov 1995 A
5469847 Zinreich et al. Nov 1995 A
5478341 Cook et al. Dec 1995 A
5478343 Ritter Dec 1995 A
5480422 Ben-Haim Jan 1996 A
5480439 Bisek et al. Jan 1996 A
5483961 Kelly et al. Jan 1996 A
5484437 Michelson Jan 1996 A
5485849 Panescu et al. Jan 1996 A
5487391 Panescu Jan 1996 A
5487729 Avellanet et al. Jan 1996 A
5487757 Truckai et al. Jan 1996 A
5490196 Rudich et al. Feb 1996 A
5494034 Schlondorff et al. Feb 1996 A
5503416 Aoki et al. Apr 1996 A
5513637 Twiss et al. May 1996 A
5514146 Lam et al. May 1996 A
5515160 Schulz et al. May 1996 A
5517990 Kalfas et al. May 1996 A
5531227 Schneider Jul 1996 A
5531520 Grimson et al. Jul 1996 A
5531673 Helenowski Jul 1996 A
5542938 Avellanet et al. Aug 1996 A
5543951 Moehrmann Aug 1996 A
5546940 Panescu et al. Aug 1996 A
5546949 Frazin et al. Aug 1996 A
5546951 Ben-Haim Aug 1996 A
5551429 Fitzpatrick et al. Sep 1996 A
5558091 Acker et al. Sep 1996 A
5558638 Evers et al. Sep 1996 A
5566681 Manwaring et al. Oct 1996 A
5568384 Robb et al. Oct 1996 A
5568809 Ben-haim Oct 1996 A
5571109 Bertagnoli Nov 1996 A
5572999 Funda et al. Nov 1996 A
5573533 Strul Nov 1996 A
5575794 Walus et al. Nov 1996 A
5575798 Koutrouvelis Nov 1996 A
5583909 Hanover Dec 1996 A
5588430 Bova et al. Dec 1996 A
5590215 Allen Dec 1996 A
5592939 Martinelli Jan 1997 A
5595193 Walus et al. Jan 1997 A
5596228 Anderton et al. Jan 1997 A
5600330 Blood Feb 1997 A
5603318 Heilbrun et al. Feb 1997 A
5611025 Lorensen et al. Mar 1997 A
5617462 Spratt Apr 1997 A
5617857 Chader et al. Apr 1997 A
5619261 Anderton Apr 1997 A
5622169 Golden et al. Apr 1997 A
5622170 Schulz Apr 1997 A
5627873 Hanover et al. May 1997 A
5628315 Vilsmeier et al. May 1997 A
5630431 Taylor May 1997 A
5636644 Hart et al. Jun 1997 A
5638819 Manwaring et al. Jun 1997 A
5640170 Anderson Jun 1997 A
5642395 Anderton et al. Jun 1997 A
5643268 Vilsmeier et al. Jul 1997 A
5645065 Shapiro et al. Jul 1997 A
5646524 Gilboa Jul 1997 A
5647361 Damadian Jul 1997 A
5662111 Cosman Sep 1997 A
5664001 Tachibana et al. Sep 1997 A
5674296 Bryan et al. Oct 1997 A
5676673 Ferre et al. Oct 1997 A
5681260 Ueda et al. Oct 1997 A
5682886 Delp et al. Nov 1997 A
5682890 Kormos et al. Nov 1997 A
5690108 Chakeres Nov 1997 A
5690117 Gilbert Nov 1997 A
5694945 Ben-Haim Dec 1997 A
5695500 Taylor et al. Dec 1997 A
5695501 Carol et al. Dec 1997 A
5696500 Diem Dec 1997 A
5697377 Wittkampf Dec 1997 A
5702406 Vilsmeier et al. Dec 1997 A
5711299 Manwaring et al. Jan 1998 A
5713946 Ben-Haim Feb 1998 A
5715822 Watkins et al. Feb 1998 A
5715836 Kliegis et al. Feb 1998 A
5718241 Ben-Haim et al. Feb 1998 A
5727552 Ryan Mar 1998 A
5727553 Saad Mar 1998 A
5729129 Acker Mar 1998 A
5730129 Darrow et al. Mar 1998 A
5730130 Fitzpatrick et al. Mar 1998 A
5732703 Kalfas et al. Mar 1998 A
5733259 Valcke et al. Mar 1998 A
5735278 Hoult et al. Apr 1998 A
5735814 Elsberry et al. Apr 1998 A
5738096 Ben-Haim Apr 1998 A
5740802 Nafis et al. Apr 1998 A
5740808 Panescu et al. Apr 1998 A
5741214 Ouchi et al. Apr 1998 A
5742394 Hansen Apr 1998 A
5744953 Hansen Apr 1998 A
5748767 Raab May 1998 A
5749362 Funda et al. May 1998 A
5749835 Glantz May 1998 A
5752513 Acker et al. May 1998 A
5755725 Druais May 1998 A
RE35816 Schulz Jun 1998 E
5758667 Slettenmark Jun 1998 A
5762064 Polvani Jun 1998 A
5767669 Hansen et al. Jun 1998 A
5767699 Bosnyak et al. Jun 1998 A
5767960 Orman Jun 1998 A
5769789 Wang et al. Jun 1998 A
5769843 Abela et al. Jun 1998 A
5769861 Vilsmeier Jun 1998 A
5772594 Barrick Jun 1998 A
5772661 Michelson Jun 1998 A
5775322 Silverstein et al. Jul 1998 A
5776064 Kalfas et al. Jul 1998 A
5782765 Jonkman Jul 1998 A
5787886 Kelly et al. Aug 1998 A
5792055 McKinnon Aug 1998 A
5795294 Luber et al. Aug 1998 A
5797849 Vesely et al. Aug 1998 A
5799055 Peshkin et al. Aug 1998 A
5799099 Wang et al. Aug 1998 A
5800352 Ferre et al. Sep 1998 A
5800535 Howard, III Sep 1998 A
5802719 O'Farrell, Jr. et al. Sep 1998 A
5803089 Ferre et al. Sep 1998 A
5807252 Hassfeld et al. Sep 1998 A
5810008 Dekel et al. Sep 1998 A
5810728 Kuhn Sep 1998 A
5810735 Halperin et al. Sep 1998 A
5820553 Hughes Oct 1998 A
5823192 Kalend et al. Oct 1998 A
5823958 Truppe Oct 1998 A
5824048 Tuch Oct 1998 A
5828725 Levinson Oct 1998 A
5828770 Leis et al. Oct 1998 A
5829444 Ferre et al. Nov 1998 A
5831260 Hansen Nov 1998 A
5833608 Acker Nov 1998 A
5834759 Glossop Nov 1998 A
5836954 Heilbrun et al. Nov 1998 A
5840024 Taniguchi et al. Nov 1998 A
5840025 Ben-Haim Nov 1998 A
5843076 Webster, Jr. et al. Dec 1998 A
5848967 Cosman Dec 1998 A
5851183 Bucholz Dec 1998 A
5865846 Bryan et al. Feb 1999 A
5868674 Glowinski et al. Feb 1999 A
5868675 Henrion et al. Feb 1999 A
5871445 Bucholz Feb 1999 A
5871455 Ueno Feb 1999 A
5871487 Warner et al. Feb 1999 A
5873822 Ferre et al. Feb 1999 A
5882304 Ehnholm et al. Mar 1999 A
5884410 Prinz Mar 1999 A
5889834 Vilsmeier et al. Mar 1999 A
5891034 Bucholz Apr 1999 A
5891157 Day et al. Apr 1999 A
5904691 Barnett et al. May 1999 A
5907395 Schulz et al. May 1999 A
5913820 Bladen et al. Jun 1999 A
5920395 Schulz Jul 1999 A
5921992 Costales et al. Jul 1999 A
5923727 Navab Jul 1999 A
5928248 Acker Jul 1999 A
5938603 Ponzi Aug 1999 A
5938694 Jaraczewski et al. Aug 1999 A
5947980 Jensen et al. Sep 1999 A
5947981 Cosman Sep 1999 A
5950629 Taylor et al. Sep 1999 A
5951475 Gueziec et al. Sep 1999 A
5951571 Audette Sep 1999 A
5954647 Bova et al. Sep 1999 A
5954796 McCarty et al. Sep 1999 A
5957844 Dekel et al. Sep 1999 A
5967980 Ferre et al. Oct 1999 A
5967982 Barnett Oct 1999 A
5968047 Reed Oct 1999 A
5970499 Smith et al. Oct 1999 A
5971997 Guthrie et al. Oct 1999 A
5976156 Taylor et al. Nov 1999 A
5980535 Barnett et al. Nov 1999 A
5983126 Wittkampf Nov 1999 A
5987349 Schulz Nov 1999 A
5987960 Messner et al. Nov 1999 A
5999837 Messner et al. Dec 1999 A
5999840 Grimson et al. Dec 1999 A
6001130 Bryan et al. Dec 1999 A
6006126 Cosman Dec 1999 A
6006127 Van Der Brug et al. Dec 1999 A
6013087 Adams et al. Jan 2000 A
6014580 Blume et al. Jan 2000 A
6016439 Acker Jan 2000 A
6019725 Vesely et al. Feb 2000 A
6024695 Taylor et al. Feb 2000 A
6026316 Kucharczyk et al. Feb 2000 A
6050724 Schmitz et al. Apr 2000 A
6059718 Taniguchi et al. May 2000 A
6063022 Ben-Haim May 2000 A
6064904 Yanof et al. May 2000 A
6071288 Carol et al. Jun 2000 A
6073043 Schneider Jun 2000 A
6076008 Bucholz Jun 2000 A
6096050 Audette Aug 2000 A
6104944 Martinelli Aug 2000 A
6118845 Simon et al. Sep 2000 A
6122538 Sliwa, Jr. et al. Sep 2000 A
6122541 Cosman et al. Sep 2000 A
6131396 Duerr et al. Oct 2000 A
6139183 Graumann Oct 2000 A
6147480 Osadchy et al. Nov 2000 A
6149592 Yanof et al. Nov 2000 A
6156067 Bryan et al. Dec 2000 A
6161032 Acker Dec 2000 A
6165181 Heilbrun et al. Dec 2000 A
6167296 Shahidi Dec 2000 A
6172499 Ashe Jan 2001 B1
6175756 Ferre et al. Jan 2001 B1
6178345 Vilsmeier et al. Jan 2001 B1
6194639 Botella et al. Feb 2001 B1
6198794 Peshkin et al. Mar 2001 B1
6201387 Govari Mar 2001 B1
6201988 Bourland et al. Mar 2001 B1
6203497 Dekel et al. Mar 2001 B1
6206885 Ghahremani et al. Mar 2001 B1
6211666 Acker Apr 2001 B1
6223067 Vilsmeier et al. Apr 2001 B1
6233476 Strommer et al. May 2001 B1
6246231 Ashe Jun 2001 B1
6259942 Westermann et al. Jul 2001 B1
6273896 Franck et al. Aug 2001 B1
6283951 Flaherty et al. Sep 2001 B1
6285902 Kienzle, III et al. Sep 2001 B1
6298262 Franck et al. Oct 2001 B1
6314310 Ben-Haim et al. Nov 2001 B1
6332089 Acker et al. Dec 2001 B1
6341231 Ferre et al. Jan 2002 B1
6348058 Melkent et al. Feb 2002 B1
6351659 Vilsmeier Feb 2002 B1
6381485 Hunter et al. Apr 2002 B1
6385483 Uber, III et al. May 2002 B1
6390097 Chandra May 2002 B1
6402689 Scarantino et al. Jun 2002 B1
6406426 Reuss et al. Jun 2002 B1
6424856 Vilsmeier et al. Jul 2002 B1
6427314 Acker Aug 2002 B1
6428547 Vilsmeier et al. Aug 2002 B1
6434415 Foley et al. Aug 2002 B1
6437567 Schenck et al. Aug 2002 B1
6445943 Ferre et al. Sep 2002 B1
6464662 Raghavan et al. Oct 2002 B1
6470207 Simon et al. Oct 2002 B1
6474341 Hunter et al. Nov 2002 B1
6478802 Kienzle, III et al. Nov 2002 B2
6482182 Carroll et al. Nov 2002 B1
6484049 Seeley et al. Nov 2002 B1
6490475 Seeley et al. Dec 2002 B1
6491699 Henderson et al. Dec 2002 B1
6493573 Martinelli et al. Dec 2002 B1
6498944 Ben-Haim et al. Dec 2002 B1
6499488 Hunter et al. Dec 2002 B1
6516046 Frohlich et al. Feb 2003 B1
6516212 Bladen et al. Feb 2003 B1
6526415 Smith et al. Feb 2003 B2
6527443 Vilsmeier et al. Mar 2003 B1
6531152 Lerner et al. Mar 2003 B1
6549803 Raghavan et al. Apr 2003 B1
6551325 Neubauer et al. Apr 2003 B2
6567690 Giller et al. May 2003 B2
6584174 Schubert et al. Jun 2003 B2
6609022 Vilsmeier et al. Aug 2003 B2
6611700 Vilsmeier et al. Aug 2003 B1
6640128 Vilsmeier et al. Oct 2003 B2
6658396 Tang et al. Dec 2003 B1
6671538 Ehnholm et al. Dec 2003 B1
6694162 Hartlep Feb 2004 B2
6701179 Martinelli et al. Mar 2004 B1
6740883 Stodilka et al. May 2004 B1
6755789 Stringer et al. Jun 2004 B2
6828966 Gavriliu et al. Dec 2004 B1
6901287 Davis et al. May 2005 B2
6905492 Zvuloni et al. Jun 2005 B2
6973718 Sheppard, Jr. et al. Dec 2005 B2
6979348 Sundar Dec 2005 B2
6982282 Lambert et al. Jan 2006 B2
7011814 Suddarth et al. Mar 2006 B2
7047235 Yang et al. May 2006 B2
7072705 Miga et al. Jul 2006 B2
7081088 Geiger Jul 2006 B2
7092748 Valdes Sosa et al. Aug 2006 B2
7103399 Miga et al. Sep 2006 B2
7167180 Shibolet Jan 2007 B1
7194295 Vilsmeier Mar 2007 B2
7313430 Urquhart et al. Dec 2007 B2
7599730 Hunter et al. Oct 2009 B2
20010007918 Vilsmeier et al. Jul 2001 A1
20020069215 Orbanes et al. Jun 2002 A1
20020095081 Vilsmeier et al. Jul 2002 A1
20030078485 Hartlep Apr 2003 A1
20030101081 Putnam et al. May 2003 A1
20030114752 Henderson et al. Jun 2003 A1
20030191408 Montgomery Oct 2003 A1
20040024309 Ferre et al. Feb 2004 A1
20040039259 Krause et al. Feb 2004 A1
20040068172 Nowinski et al. Apr 2004 A1
20040092809 DeCharms May 2004 A1
20040097806 Hunter et al. May 2004 A1
20040107210 Yang et al. Jun 2004 A1
20040138551 Hartlep et al. Jul 2004 A1
20040158313 Altman Aug 2004 A1
20040210124 Nowinski et al. Oct 2004 A1
20040215071 Frank et al. Oct 2004 A1
20040215162 Putz Oct 2004 A1
20040236554 Raghavan et al. Nov 2004 A1
20040240753 Hu et al. Dec 2004 A1
20050002918 Strauss et al. Jan 2005 A1
20050004617 Dawant et al. Jan 2005 A1
20050004909 Stevenson et al. Jan 2005 A1
20050018885 Chen et al. Jan 2005 A1
20050031210 Shen et al. Feb 2005 A1
20050049486 Urquhart et al. Mar 2005 A1
20050070781 Dawant Mar 2005 A1
20050084146 Watson et al. Apr 2005 A1
20050085714 Foley et al. Apr 2005 A1
20050085720 Jascob et al. Apr 2005 A1
20050101855 Miga et al. May 2005 A1
20050111621 Riker et al. May 2005 A1
20050148859 Miga et al. Jul 2005 A1
20050171558 Abovitz et al. Aug 2005 A1
20050245814 Anderson et al. Nov 2005 A1
20060017749 McIntyre et al. Jan 2006 A1
20060084867 Tremblay et al. Apr 2006 A1
20060182321 Hu et al. Aug 2006 A1
20060217733 Plassky et al. Sep 2006 A1
20070021668 Boese et al. Jan 2007 A1
20070100226 Yankelevitz et al. May 2007 A1
20080081982 Simon et al. Apr 2008 A1
Foreign Referenced Citations (107)
Number Date Country
964149 Mar 1975 CA
3042343 Jun 1982 DE
3508730 Sep 1986 DE
3717871 Dec 1988 DE
3831278 Mar 1989 DE
3838011 Jul 1989 DE
4213426 Oct 1992 DE
4225112 Dec 1993 DE
4233978 Apr 1994 DE
19715202 Oct 1998 DE
19751761 Oct 1998 DE
19832296 Feb 1999 DE
19747427 May 1999 DE
10085137 Nov 2002 DE
0062941 Oct 1982 EP
0119660 Sep 1984 EP
0155857 Sep 1985 EP
0319844 Jun 1989 EP
0326768 Aug 1989 EP
0350996 Jan 1990 EP
0419729 Apr 1991 EP
0427358 May 1991 EP
0456103 Nov 1991 EP
0469966 Feb 1992 EP
0581704 Feb 1994 EP
0651968 May 1995 EP
0655138 May 1995 EP
0894473 Feb 1999 EP
0908146 Apr 1999 EP
0930046 Jul 1999 EP
1306050 May 2003 EP
1344187 Sep 2003 EP
1396233 Mar 2004 EP
1406203 Apr 2004 EP
1442715 Aug 2004 EP
1474782 Nov 2004 EP
1597701 Nov 2005 EP
1603076 Dec 2005 EP
1691687 Aug 2006 EP
1692633 Aug 2006 EP
1692657 Aug 2006 EP
1713015 Oct 2006 EP
2417970 Sep 1979 FR
2618211 Jan 1989 FR
2094590 Sep 1982 GB
2164856 Apr 1986 GB
62327 Jun 1983 JP
61-94639 Oct 1984 JP
63240851 Oct 1988 JP
2765738 Apr 1991 JP
3267054 Nov 1991 JP
WO-8809151 Dec 1988 WO
WO-8905123 Jun 1989 WO
WO 9005494 May 1990 WO
WO-9103982 Apr 1991 WO
WO-9104711 Apr 1991 WO
WO-9107726 May 1991 WO
WO-9203090 Mar 1992 WO
WO -9206645 Apr 1992 WO
WO-9404938 Mar 1994 WO
WO-9423647 Oct 1994 WO
WO-9424933 Nov 1994 WO
WO-9507055 Mar 1995 WO
WO-9611624 Apr 1996 WO
WO-9632059 Oct 1996 WO
WO-9736192 Oct 1997 WO
WO-9749453 Dec 1997 WO
WO-9808554 Mar 1998 WO
WO-9838908 Sep 1998 WO
WO-9915097 Apr 1999 WO
WO-9921498 May 1999 WO
WO-9923956 May 1999 WO
WO-9926549 Jun 1999 WO
WO-9927839 Jun 1999 WO
WO-9929253 Jun 1999 WO
WO-9933406 Jul 1999 WO
WO-9937208 Jul 1999 WO
WO-9938449 Aug 1999 WO
WO-9952094 Oct 1999 WO
WO-9960939 Dec 1999 WO
WO-0007652 Feb 2000 WO
WO-0010034 Feb 2000 WO
WO-0130437 May 2001 WO
WO-0243003 May 2002 WO
WO-02093292 Nov 2002 WO
WO-02097735 Dec 2002 WO
WO-02098292 Dec 2002 WO
WO-03039600 May 2003 WO
WO-03060827 Jul 2003 WO
WO-2004077359 Sep 2004 WO
WO-2004096018 Nov 2004 WO
WO-2005002444 Jan 2005 WO
WO-2005048844 Jun 2005 WO
WO-2005052838 Jun 2005 WO
WO-2005057493 Jun 2005 WO
WO-2005057498 Jun 2005 WO
WO-2005084542 Sep 2005 WO
WO-2005096227 Oct 2005 WO
WO-2005111931 Nov 2005 WO
WO-2006011850 Feb 2006 WO
WO-2006017053 Feb 2006 WO
WO-2006017392 Feb 2006 WO
WO-2006028416 Mar 2006 WO
WO-2006028474 Mar 2006 WO
WO-2006069250 Jun 2006 WO
WO-2006083236 Aug 2006 WO
WO-2006088429 Aug 2006 WO
Non-Patent Literature Citations (159)
Entry
“Advanced Drug Delivery: Technologies, Applications & Markets Jul. 2003, A Kalorama Information Market Intelligence Report.” (Jul. 2003) Kalorama Information 432 sheets.
“Interventional Radiology Grand Rounds. Topic: Central Venous Access.” Society of Interventional Radiology, (2004) 4 sheets.
Adams et al., “Orientation Aid for Head and Neck Surgeons,” Innov. Tech. Biol. Med., vol. 13, No. 4, 1992, pp. 409-424.
Adams et al., Computer-Assisted Surgery, IEEE Computer Graphics & Applications, pp. 43-51, (May 1990).
Arndt, “Neopharm Investigators Present Final Results of Peritumoral vs. Intratumoral Infusion of IL13-PE38QQR from Phasel Clinical Studies at the American Society of Clinical Oncology Meeting.” NeoPharm. Biowire2k 4st Annual Meeting of the American Society of Clinical Oncology. Business Wire (May 17, 2005) www.businesswire.com/news/home/20050517005098/en/NeoPharm-Investigators-Pr accessed Jul. 27, 2011.
Barrick et al., “Prophylactic Intramedullary Fixation of the Tibia for Stress Fracture in a Professional Athlete,” Journal of Orthopaedic Trauma, vol. 6, No. 2, pp. 241-244 (1992).
Barrick et al., “Technical Difficulties with the Brooker-Wills Nail in Acute Fractures of the Femur,” Journal of Orthopaedic Trauma, vol. 4, No. 2, pp. 144-150 (1990).
Barrick, “Distal Locking Screw Insertion Using a Cannulated Drill Bit: Technical Note,” Journal of Orthopaedic Trauma, vol. 7, No. 3, 1993, pp. 248-251.
Batnitzky et al., “Three-Dimensional Computer Reconstructions of Brain Lesions from Surface Contours Provided by Computed Tomography: A Prospectus,” Neurosurgery, vol. 11, No. 1, Part 1, 1982, pp. 73-84.
Beghetto, M.G., et al. Parenteral Nutrition as a Risk Factor for Central Venous Catheter-Related Infection. Journal of Parenteral and Enteral Nutrition 29(5): (Sep. 4, 2005) pp. 367-373. http://www.redorbit.com/news/health/229618/parenteral—nutrition—as—a—risk—factor—for—central—venous—catheter/ (accessed Jul. 27, 2011).
Benzel et al., “Magnetic Source Imaging: a Review of the Magnes System of Biomagnetic Technologies Incorporated,” Neurosurgery, vol. 33, No. 2 (Aug. 1993), pp. 252-259.
Bergstrom et al. Stereotaxic Computed Tomography, Am. J. Roentgenol, vol. 127 pp. 167-170 (1976).
Bouazza-Marouf et al.; “Robotic-Assisted Internal Fixation of Femoral Fractures”, IMECHE., pp. 51-58 (1995).
Brack et al., “Accurate X-ray Based Navigation in Computer-Assisted Orthopedic Surgery,” CAR '98, pp. 716-722.
Brown, R., M.D., A Stereotactic Head Frame for Use with CT Body Scanners, Investigative Radiology © J.B. Lippincott Company, pp. 300-304 (Jul.-Aug. 1979).
Bryan, “Bryan Cervical Disc System Single Level Surgical Technique”, Spinal Dynamics, 2002, pp. 1-33.
Bucholz et al., “Variables affecting the accuracy of stereotactic localizationusing computerized tomography,” Journal of Neurosurgery, vol. 79, Nov. 1993, pp. 667-673.
Bucholz, R.D., et al. Image-guided surgical techniques for infections and trauma of the central nervous system, Neurosurg. Clinics of N.A., vol. 7, No. 2, pp. 187-200 (1996).
Bucholz, R.D., et al., A Comparison of Sonic Digitizers Versus Light Emitting Diode-Based Localization, Interactive Image-Guided Neurosurgery, Chapter 16, pp. 179-200 (1993).
Bucholz, R.D., et al., Intraoperative localization using a three dimensional optical digitizer, SPIE—The Intl. Soc. for Opt. Eng., vol. 1894, pp. 312-322 (Jan. 17-19, 1993).
Bucholz, R.D., et al., Intraoperative Ultrasonic Brain Shift Monitor and Analysis, Stealth Station Marketing Brochure (2 pages) (undated).
Bucholz, R.D., et al., The Correction of Stereotactic Inaccuracy Caused by Brain Shift Using an Intraoperative Ultrasound Device, First Joint Conference, Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Grenoble, France, pp. 459-466 (Mar. 19-22, 1997).
Butz et al. Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation, Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention, p. 317-326, Oct. 11-14, 2000.
Champleboux et al., “Accurate Calibration of Cameras and Range Imaging Sensors: the NPBS Method,” IEEE International Conference on Robotics and Automation, Nice, France, May 1992.
Champleboux, “Utilisation de Fonctions Splines pour la Mise au Point D'un Capteur Tridimensionnel sans Contact,” Quelques Applications Medicales, Jul. 1991.
Cinquin et al., “Computer Assisted Medical Interventions,” IEEE Engineering in Medicine and Biology, May/Jun. 1995, pp. 254-263.
Cinquin et al., “Computer Assisted Medical Interventions,” International Advanced Robotics Programme, Sep. 1989, pp. 63-65.
Clarysse et al., “A Computer-Assisted System for 3-D Frameless Localization in Stereotaxic MRI,” IEEE Transactions on Medical Imaging, vol. 10, No. 4, Dec. 1991, pp. 523-529.
Cutting M.D. et al., Optical Tracking of Bone Fragments During Craniofacial Surgery, Second Annual International Symposium on Medical Robotics and Computer Assisted Surgery, pp. 221-225, (Nov. 1995).
Feldmar et al., “3D-2D Projective Registration of Free-Form Curves and Surfaces,” Rapport de recherche (Inria Sophia Antipolis), 1994, pp. 1-44.
Finnis, Kirk W., et al., “Three-Dimensional Database of Subcortical Electrophysiology for Image-Guided Stereotactic Functional Neurosurgery,” IEEE Transactions of Medical Imaging, vol. 22, No. 1 (Jan. 2003) pp. 93-104.
Flanigan, M. et al.. Peritoneal Catheters and Exit-Site Practices Toward Optimum Peritoneal Access: A Review of Current Developments. Peritoneal Dialysis International. (2005) vol. 25, pp. 132-139.
Fletcher, S.J., et al. “Editorial II. Safe placement of central venous catheters: where should the tip of the catheter lie?” Oxford Journals, British Journal of Anaesthesia (2000) vol. 85 Issue 2, Aug. pp. 188-191.
Foley et al., “Fundamentals of Interactive Computer Graphics,” The Systems Programming Series, Chapter 7, Jul. 1984, pp. 245-266.
Foley et al., “Image-guided Intraoperative Spinal Localization,” Intraoperative Neuroprotection, Chapter 19, 1996, pp. 325-340.
Foley, “The StealthStation: Three-Dimensional Image-Interactive Guidance for the Spine Surgeon,” Spinal Frontiers, Apr. 1996, pp. 7-9.
Friets, E.M., et al. A Frameless Stereotaxic Operating Microscope for Neurosurgery, IEEE Trans. on Biomed. Eng., vol. 36, No. 6, pp. 608-617 (Jul. 1989).
G. Champleboux, et al., “Accurate Calibration of Cameras and Range Imaging Sensors: the NPBS Method,” Proceedings of the IEEE International Conference on Robotics and Automation, Nice, France, May 1992.
Gallen, C.C., et al., Intracranial Neurosurgery Guided by Functional Imaging, Surg. Neurol., vol. 42, pp. 523-530 (1994).
Galloway, R.L., et al., Interactive Image-Guided Neurosurgery, IEEE Trans. on Biomed. Eng., vol. 89, No. 12, pp. 1226-1231 (1992).
Galloway, R.L., Jr. et al, Optical localization for interactive, image-guided neurosurgery, SPIE, vol. 2164, (May 1, 1997) pp. 137-145.
Germano, “Instrumentation, Technique and Technology”, Neurosurgery, vol. 37, No. 2, Aug. 1995, pp. 348-350.
Gildenberg et al., “Calculation of Stereotactic Coordinates from the Computed Tomographic Scan,” Neurosurgery, vol. 10, No. 5, May 1982, pp. 580-586.
Gomez, C.R., et al., Transcranial Doppler Ultrasound Following Closed Head Injury: Vasospasm or Vasoparalysis?, Surg. Neurol., vol. 35, pp. 30-35 (1991).
Gonzalez, “Digital Image Fundamentals,” Digital Image Processing, Second Edition, 1987, pp. 52-54.
Gottesfeld Brown et al., “Registration of Planar Film Radiographs with Computer Tomography,” Proceedings of MMBIA, Jun. '96, pp. 42-51.
Grimson, W.E.L., An Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery, and enhanced Reality Visualization, IEEE, pp. 430-436 (1994).
Grimson, W.E.L., et al., Virtual-reality technology is giving surgeons the equivalent of x-ray vision helping them to remove tumors more effectively, to minimize surgical wounds and to avoid damaging critical tissues, Sci. Amer., vol. 280, No. 6, pp. 62-69 (Jun. 1999).
Gueziec et al., “Registration of Computed Tomography Data to a Surgical Robot Using Fluoroscopy: A Feasibility Study,” Computer Science/Mathematics, Sep. 27, 1996, 6 pages.
Guthrie, B.L., Graphic-Interactive Cranial Surgery: The Operating Arm System, Handbook of Stereotaxy Using the CRW Apparatus, Chapter 13 (1994) pp. 193-211.
Hamadeh et al, “Kinematic Study of Lumbar Spine Using Functional Radiographies and 3D/2D Registration,” TIMC UMR 5525—IMAG (1997).
Hamadeh et al., “Automated 3-Dimensional Computed Tomographic and Fluorscopic Image Registration,” Computer Aided Surgery (1998), 3:11-19.
Hamadeh et al., “Towards Automatic Registration Between CT and X-ray Images: Cooperation Between 3D/2D Registration and 2D Edge Detection,” MRCAS '95, pp. 39-46.
Hanas, M.D., Ragnar. “Indwelling—Catheters—for—Injections. How to Reduce Injection Anxiety. Insuflon.” (Jun. 2003) Children with Diabetes. http://www.childrenwithdiabetes.com/d—06—311.htm web accessed Jul. 27, 2011.
Hardy, T., M.D., et al., CASS: A Program for Computer Assisted Stereotaxic Surgery, The Fifth Annual Symposium on Comptuer Applications in Medical Care, Proceedings, Nov. 1-4, 1981, IEEE, pp. 1116-1126, (1981).
Hatch, “Reference-Display System for the Integration of CT Scanning and the Operating Microscope,” Thesis, Thayer School of Engineering, Oct. 1984, pp. 1-189.
Hatch, et al., “Reference-Display System for the Integration of CT Scanning and the Operating Microscope”, Proceedings of the Eleventh Annual Northeast Bioengineering Conference, Mar. 14-15, 1985, pp. 252-254.
Hayashi, Y., et al. “Optimal Placement of CVP Catheter in Paediatric Cardiac Patients.” Canadian Journal of Anesthesia, (1995) 42:6 pp. 479-482.
Heilbrun et al., “Preliminary experience with Brown-Roberts-Wells (BRW) computerized tomography stereotaxic guidance system,” Journal of Neurosurgery, vol. 59, Aug. 1983, pp. 217-222.
Heilbrun, M.D., Progressive Technology Applications, Neurosurgery for the Third Millenium, Chapter 15, J. Whitaker & Sons, Ltd., Amer. Assoc. of Neurol. Surgeons, pp. 191-198 (1992).
Heilbrun, M.P., Computed Tomography—Guided Stereotactic Systems, Clinical Neurosurgery, Chapter 31, pp. 564-581 (1983).
Heilbrun, M.P., et al., Stereotactic Localization and Guidance Using a Machine Vision Technique, Sterotact & Funct. Neurosurg., Proceed. of the Mtg. of the Amer. Soc. For Sterot. and Funct. Neurosurg. (Pittsburgh, PA) vol. 58, pp. 94-98 (1992).
Henderson et al., “An Accurate and Ergonomic Method of Registration for Image-guided Neurosurgery,” Computerized Medical Imaging and Graphics, vol. 18, No. 4, Jul.-Aug. 1994, pp. 273-277.
Hodge, D. et al. “Diagnosis, prevention, and management of catheter related bloodstream infection during long term parenteral nutrition.” Arch. Dis. Child. Fetal Neonatal Ed. (2002) vol. 87 pp. F21-F24.
Hoenecke, Heinz, R., et al. “Continuous Local Anesthetic Infiltration,” Case Report. Orthopedic Technology Review (Mar./Apr. 2002) vol. 3 No. 2. http://www.orthopedictechreview.com/issues/marapr02/case.htm. Said url is no longer valid. The article can be found using the Wayback Machine archive at: http://web.archive.org/web/20060315052636/http://www.orthopedictechreview.com/issues/marapr02/case.htm. Accessed and printed Aug. 11, 2011.
Hoerenz, “The Operating Microscope I. Optical Principles, Illumination Systems, and Support Systems,” Journal of Microsurgery, vol. 1, 1980, pp. 364-369.
Hofstetter et al., “Fluoroscopy Based Surgical Navigation—Concept and Clinical Applications,” Computer Assisted Radiology and Surgery, 1997, pp. 956-960.
Horner et al., “A Comparison of CT-Stereotaxic Brain Biopsy Techniques,” Investigative Radiology, Sep.-Oct. 1984, pp. 367-373.
Hounsfield, “Computerized transverse axial scanning (tomography): Part 1. Description of system,” British Journal of Radiology, vol. 46, No. 552, Dec. 1973, pp. 1016-1022.
International Preliminary Report on Patentability for PCT/US2007/009820 mailed Oct. 30, 2008 claiming benefit of U.S. Appl. No. 11/409,499.
International Preliminary Report on Patentability for PCT/US2007/009931 mailed Jan. 20, 2009, claiming priority to U.S. Appl. No. 11/683,796, filed Mar. 8, 2007.
International Search Report and Written Opinion for PCT/US2007/009820 mailed Sep. 21, 2007 claiming benefit of U.S. Appl. No. 11/409,499.
International Search Report and Written Opinion for PCT/US2007/009931 mailed Nov. 14, 2007, claiming priority to U.S. Appl. No. 11/683,796, filed Mar. 8, 2007.
International Search Report and Written Opinion mailed Apr. 11, 2009 for PCT/US2009/051341 filed Jul. 22, 2009.
iPlan® Stereotaxy Software, BrainLab, http://www.brainlab.com/scripts/website—english.asp?menuDeactivate=1&articleID=1842&articleTypeID=27&pageTypeID=4&article—short—headline=iPlan%AE%20Stereotaxy printed Apr. 1, 2009.
Jacques et al., “A Computerized Microstereotactic Method to Approach, 3-Dimensionally Reconstruct, Remove and Adjuvantly Treat Small CNS Lesions,” Applied Neurophysiology, vol. 43, 1980, pp. 176-182.
Jacques et al., “Computerized three-dimensional stereotaxic removal of small central nervous system lesion in patients,” J. Neurosurg., vol. 53, Dec. 1980, pp. 816-820.
Joskowicz et al., “Computer-Aided Image-Guided Bone Fracture Surgery: Concept and Implementation,” CAR '98, pp. 710-715.
Kall, B., The Impact of Computer and lmgaging Technology on Stereotactic Surgery, Proceedings of the Meeting of the American Society for Stereotactic and Functional Neurosurgery, pp. 10-22 (1987).
Kato, A., et al., A frameless, armless navigational system for computer-assisted neurosurgery, J. Neurosurg., vol. 74, pp. 845-849 (May 1991).
Kelly et al., “Computer-assisted stereotaxic laser resection of intra-axial brain neoplasms,” Journal of Neurosurgery, vol. 64, Mar. 1986, pp. 427-439.
Kelly et al., “Precision Resection of Intra-Axial CNS Lesions by CT-Based Stereotactic Craniotomy and Computer Monitored CO2 Laser,” Acta Neurochirurgica, vol. 68, 1983, pp. 1-9.
Kelly, P.J., Computer Assisted Stereotactic Biopsy and Volumetric Resection of Pediatric Brain Tumors, Brain Tumors in Children, Neurologic Clinics, vol. 9, No. 2, pp. 317-336 (May 1991).
Kelly, P.J., Computer-Directed Stereotactic Resection of Brain Tumors, Neurologica Operative Atlas, vol. 1, No. 4, pp. 299-313 (1991).
Kelly, P.J., et al., Results of Computed Tomography-based Computer-assisted Stereotactic Resection of Metastatic Intracranial Tumors, Neurosurgery, vol. 22, No. 1, Part 1, 1988, pp. 7-17 (Jan. 1988).
Kelly, P.J., Stereotactic Imaging, Surgical Planning and Computer-Assisted Resection of Intracranial Lesions: Methods and Results, Advances and Technical Standards in Neurosurgery, vol. 17, pp. 78-118, (1990).
Kim, W.S. et al., A Helmet Mounted Display for Telerobotics, IEEE, pp. 543-547 (1988).
Klimek, L., et al., Long-Term Experience with Different Types of Localization Systems in Skull-Base Surgery, Ear, Nose & Throat Surgery, Chapter 51 (1996) pp. 635-638.
Kosugi, Y., et al., An Articulated Neurosurgical Navigation System Using MRI and CT Images, IEEE Trans. on Biomed, Eng. vol. 35, No. 2, pp. 147-152 (Feb. 1988).
Krybus, W., et al., Navigation Support for Surgery by Means of Optical Position Detection, Computer Assisted Radiology Proceed. of the Intl. Symp. CAR '91 Computed Assisted Radiology, pp. 362-366 (Jul. 3-6, 1991).
Kunwar, S., et al. “Peritumoral convection-enhanced delivery (CED) of IL13-PE38QQR (IL13PE): Results of multicenter phase 1 studies in recurrent High Grade Glioma (HGG).” Abstracts from the World Federation of Neuro-Oncology Second Quadrennial Meeting and Sixth Meeting of the European Association for Neuro-Oncology, Edinburgh, UK. (May 5-8, 2005) p. 311 Society for Neuro-Oncology.
Kwoh, Y.S., Ph.D., et al., A New Computerized Tomographic-Aided Robotic Stereotaxis System, Robotics Age, vol. 7, No. 6, pp. 17-22 (Jun. 1985).
Laitinen et al., “An Adapter for Computed Tomography-Guided, Stereotaxis,” Surg. Neurol., 1985, pp. 559-566.
Laitinen, “Noninvasive multipurpose stereoadapter,” Neurological Research, Jun. 1987, pp. 137-141.
Lavallee et al, “Matching 3-D Smooth Surfaces with their 2-D Projections using 3-D Distance Maps,” SPIE, vol. 1570, Geometric Methods in Computer Vision, 1991, pp. 322-336.
Lavallee et al., “Computer Assisted Driving of a Needle into the Brain,” Proceedings of the International Symposium CAR '89, Computer Assisted Radiology, 1989, pp. 416-420.
Lavallee et al., “Computer Assisted Interventionist Imaging: The Instance of Stereotactic Brain Surgery,” North-Holland MEDINFO 89, Part 1, 1989, pp. 613-617.
Lavallee et al., “Computer Assisted Spine Surgery: A Technique for Accurate Transpedicular Screw Fixation Using CT Data and a 3-D Optical Localizer,” TIMC, Faculte de Medecine de Grenoble (1995).
Lavallee et al., “Image guided operating robot: a clinical application in stereotactic neurosurgery,” Proceedings of the 1992 IEEE Internation Conference on Robotics and Automation, May 1992, pp. 618-624.
Lavallee et al., “Matching of Medical Images for Computed and Robot Assisted Surgery,” IEEE EMBS, Orlando, 1991.
Lavallee, “A New System for Computer Assisted Neurosurgery,” IEEE Engineering in Medicine & Biology Society 11th Annual International Conference, 1989, pp. 0926-0927.
Lavallee, “VI Adaption de la Methodologie a Quelques Applications Cliniques,” Chapitre VI, pp. 133-148.
Lavallee, S., et al., Computer Assisted Knee Anterior Cruciate Ligament Reconstruction First Clinical Tests, Proceedings of the First International Symposium on Medical Robotics and Computer Assisted Surgery, pp. 11-16 (Sep. 1994).
Lavallee, S., et al., Computer Assisted Medical Interventions, NATO ASI Series, vol. F 60, 3d Imaging in Medic., pp. 301-312 (1990).
Leavitt, D.D., et al., Dynamic Field Shaping to Optimize Stereotactic Radiosurgery, I.J. Rad. Onc. Biol. Physc., vol. 21, pp. 1247-1255 (1991).
Leksell et al., “Stereotaxis and Tomography—A Technical Note,” ACTA Neurochirurgica, vol. 52, 1980, pp. 1-7.
Lemieux et al., “A Patient-to-Computed-Tomography Image Registration Method Based on Digitally Reconstructed Radiographs,” Med. Phys. 21 (11), Nov. 1994, pp. 1749-1760.
Levin et al., “The Brain: Integrated Three-dimensional Display of MR and PET Images,” Radiology, vol. 172, No. 3, Sep. 1989, pp. 783-789.
Maurer, Jr., et al., Registration of Head CT Images to Physical Space Using a Weighted Combination of Points and Surfaces, IEEE Trans. on Med. Imaging, vol. 17, No. 5, pp. 753-761 (Oct. 1998).
Mazier et al., “Computer-Assisted Interventionist Imaging: Application to the Vertebral Column Surgery,” Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 12, No. 1, 1990, pp. 0430-0431.
Mazier et al., Chirurgie de la Colonne Vertebrate Assistee par Ordinateur: Appication au Vissage Pediculaire, Innov. Tech. Biol. Med., vol. 11, No. 5, 1990, pp. 559-566.
McGirr, S., M.D., et al., Stereotactic Resection of Juvenile Pilocytic Astrocytomas of the Thalamus and Basal Ganglia, Neurosurgery, vol. 20, No. 3, pp. 447-452, (1987).
Merloz, et al., “Computer Assisted Spine Surgery”, Clinical Assisted Spine Surgery, No. 337 (1997) pgs. 86-96.
Müller, M., et al. “Issues in Pharmacokinetics and Pharmacodynamics of Anti-Infective Agents: Distribution in Tissue.” Antimicrobial Agents and Chemotherapy, Minireview (2004) vol. 48, No. 5. pp. 1441-1453.
NeuroSight™ Cranial Module, Radionics™, Jul. 27, 2003 http://www.radionics.com/products/frameless/omnisight/omnisight—modules.shtml#neuro accessed and printed on Apr. 1, 2009 through the Wayback Machine at http://www.archive.org/web/web.php.
Ng, W.S. et al., Robotic Surgery—A First-Hand Experience in Transurethral Resection of the Prostate Surgery, IEEE Eng. in Med. and Biology, pp. 120-125 (Mar. 1993).
Pelizzari et al., “Accurate Three-Dimensional Registration of CT, PET, and/or MR Images of the Brain,” Journal of Computer Assisted Tomography, Jan./Feb. 1989, pp. 20-26.
Pelizzari et al., “Interactive 3D Patient-Image Registration,” Information Processing in Medical Imaging, 12th International Conference, IPMI '91, Jul. 7-12, 136-141 (A.C.F. Colchester et al. eds. 1991).
Pelizzari et al., No. 528—“Three Dimensional Correlation of PET, CT and MRI Images,” The Journal of Nuclear Medicine, vol. 28, No. 4, Apr. 1987, p. 682.
Penn, R.D., et al., Stereotactic Surgery with Image Processing of Computerized Tomographic Scans, Neurosurgery, vol. 3, No. 2, pp. 157-163 (Sep.-Oct. 1978).
Phillips et al., “Image Guided Orthopaedic Surgery Design and Analysis,” Trans Inst. MC, vol. 17, No. 5, 1995, pp. 251-264.
Pixsys, 3-D Digitizing Accessories, by Pixsys (marketing brochure)(undated) (2 pages).
Potamianos et al., “Intra-Operative Imaging Guidance for Keyhole Surgery Methodology and Calibration,” First International Symposium on Medical Robotics and Computer Assisted Surgery, Sep. 22-24, 1994, pp. 98-104.
Prestige Cervical Disc System Surgical Technique, 12 pgs.
Reinhardt et al., “CT-Guided ‘Real Time’ Stereotaxy,” ACTA Neurochirurgica, 1989.
Reinhardt, H., et al., A Computer-Assisted Device for Intraoperative CT-Correlated Localization of Brain Tumors, pp. 51-58 (1988).
Reinhardt, H.F. et al., Sonic Stereometry in Microsurgical Procedures for Deep-Seated Brain Tumors and Vascular Malformations, Neurosurgery, vol. 32, No. 1, pp. 51-57 (Jan. 1993).
Reinhardt, H.F., et al., Mikrochirugische Entfernung tiefliegender Gefäβmiβbildungen mit Hilfe der Sonar-Stereometrie (Microsurgical Removal of Deep-Seated Vascular Malformations Using Sonar Stereometry). Ultraschall in Med. 12, pp. 80-83 (1991).
Reinhardt, Hans. F., Neuronavigation: A Ten-Year Review, Neurosurgery (1996) pp. 329-341.
Renard, E., et. al. “Catheter Complications Associated with Implantable Systems for Peritoneal Insulin Delivery. An Analysis of Frequency, Predisposing Factors, and Obstructing Materials.” Diabetes Care (Mar. 1995) vol. 18, No. 3. pp. 300-306.
Roberts et al., “A frameless stereotaxic integration of computerized tomographic imaging and the operating microscope,” J. Neurosurg., vol. 65, Oct. 1986,pp. 545-549.
Rosenbaum et al., “Computerized Tomography Guided Stereotaxis: A New Approach,” Applied Neurophysiology, vol. 43, No. 3-5, 1980, pp. 172-173.
Sautot, “Vissage Pediculaire Assiste Par Ordinateur,” Sep. 20, 1994.
Schueler et al., “Correction of Image Intensifier Distortion for Three-Dimensional X-Ray Angiography,” SPIE Medical Imaging 1995, vol. 2432, pp. 272-279.
Schueler, Beth, et al., “Correction of Image Intensifier Distortion for Three-Dimensional X-ray Angiography,” Proceedings, SPIE—the International Society for Optical Engineering, Medical Imaging 1995—Physics of Medical Imaging, pp. 273-279 (San Diego, California, Feb. 26-27, 1995).
Selvik et al., “A Roentgen Stereophotogrammetric System,” Acta Radiologica Diagnosis, 1983, pp. 343-352.
Shelden et al., “Development of a computerized microsteroetaxic method for localization and removal of minute CNS lesions under direct 3-D vision,” J. Neurosurg., vol. 52, 1980, pp. 21-27.
Simon, D.A., Accuracy Validation in Image-Guided Orthopaedic Surgery, Second Annual Intl. Symp. on Med. Rob. an Comp-Assisted surgery, MRCAS (1995) pp. 185-192.
Smith et al., “Computer Methods for Improved Diagnostic Image Display Applied to Stereotactic Neurosurgery,” Automedical, vol. 14, 1992, pp. 371-382 (4 unnumbered pages).
Smith et al., “The Neurostation™—A Highly Accurate, Minimally Invasive Solution to Frameless Stereotactic Neurosurgery,” Computerized Medical Imaging and Graphics, vol. 18, Jul.-Aug. 1994, pp. 247-256.
Smith, K.R., et al. Multimodality Image Analysis and Display Methods for Improved Tumor Localization in Stereotactic Neurosurgery, Annul Intl. Conf. of the IEEE Eng. in Med. and Biol. Soc., vol. 13, No. 1, p. 210 (1991).
Tan, K., Ph.D., et al., A frameless stereotactic approach to neurosurgical planning based on retrospective patient-image registration, J Neurosurgy, vol. 79, pp. 296-303 (Aug. 1993).
The Laitinen Stereotactic System, E2-E6.
Thompson, et al., A System for Anatomical and Functional Mapping of the Human Thalamus, Computers and Biomedical Research, vol. 10, pp. 9-24 (1977).
Trobraugh, J.W., et al., Frameless Stereotactic Ultrasonography: Method and Applications, Computerized Medical Imaging and Graphics, vol. 18, No. 4, pp. 235-246 (1994).
Vande Walle, et al. “Use of Bicarbonate/Lactate Buffered Dialysate with Nighttime Cycler, Associated with a Daytime Dwell with Icodextrin, May Result in Alkalosis in Children.” Advances in Peritoneal Dialysis (2004) vol. 20, pp. 222-225.
VectorVision® cranial Navigation Software, BrainLab, http://www.brainlab.com/scripts/website—english.asp?menuDeactivate=1&articleID=593&articleTypeID=27&pageTypeID=4&article—short—headline=VectorVision%AE%20%20cranial printed Apr. 1, 2009.
Versweyveld, Leslie, “Scientists in Singapore develop Virtual Brain Bench for stereotactic frame neurosurgery,” VMW Virtual Medical Worlds Monthly, printed Apr. 1, 2009 (3 pages).
Vesely, T.M., “Central Venous Catheter Tip Position: A Continuing Controversy.” J Vasc Interv Radiol (2003) vol. 14, No. 5. pp. 527-534.
Viant et al., “A Computer Assisted Orthopaedic System for Distal Locking of Intramedullary Nails,” Proc. of MediMEC '95, Bristol, 1995, pp. 86-91.
Von Hanwhr et al., Foreword, Computerized Medical Imaging and Graphics, vol. 18, No. 4, pp. 225-228, (Jul.-Aug. 1994).
Wang, M.Y., et al., An Automatic Technique for Finding and Localizing Externally Attached Markers in CT and MR Volume Images of the Head, IEEE Trans. on Biomed. Eng., vol. 43, No. 6, pp. 627-637 (Jun. 1996).
Washburn, Kimberly, K, et al. “Surgical Technique for Peritoneal Dialysis Catheter Placement in the Pediatric Patient: A North American Survey.” Advances in Peritoneal Dialysis (2004) vol. 20, pp. 218-221.
Watanabe et al., “Three-Dimensional Digitizer (Neuronavigator): New Equipment for Computed Tomography-Guided Stereotaxic Surgery,” Surgical Neurology, vol. 27, No. 6, Jun. 1987, pp. 543-547.
Watanabe, “Neuronavigator,” Igaku-no-Ayumi, vol. 137, No. 6, May 10, 1986, pp. 1-4.
Watanabe, E., M.D., et al., Open Surgery Assisted by the Neuronavigator, a Stereotactic, Articulated, Sensitive Arm, Neurosurgery, vol. 28, No. 6, pp. 792-800 (1991).
Weese et al., “An Approach to 2D/3D Registration of a Vertebra in 2D X-ray Fluoroscopies with 3D CT Images” (1997) pp. 119-128.
Wood et al. Technologies for Guidance of Radiofrequency Ablation in the Multimodality Interventional Suite of the Future. J Vasc Interv Radiol. Jan. 2007; 18(1 Pt 1): 9-24. doi:10.1 016/j.jvir.2006.1 0.013.
Zürcher, Matthias et al. “Colonization and Bloodstream Infection with Single—Versus Multi-Lumen Central Venous Catheters: A Quantitative Systematic Review.” Anesthesia & Analgesia (2004) vol. 99, pp. 177-182.
Related Publications (1)
Number Date Country
20140171791 A1 Jun 2014 US
Provisional Applications (1)
Number Date Country
60848442 Sep 2006 US
Divisions (1)
Number Date Country
Parent 11683796 Mar 2007 US
Child 14187601 US