Method of detecting organ matter shift in a patient

Abstract
A surgical instrument navigation system comprises an ultrasound machine and a computer coupled to the ultrasound machine. A memory is coupled to the computer and includes computer instructions that when executed by the computer cause the computer to generate an icon representing the surgical instrument with a tip and the surgical instrument's trajectory and to overlay the icon on a real-time ultrasound image having an image plane, such that when the surgical instrument crosses the ultrasound image plane the format of the surgical instrument's trajectory is changed to represent the surgical instrument's crossing of the ultrasound image's plane. The system also comprises a localizer coupled to the ultrasound machine, and a display coupled to the computer for displaying the generated icon superimposed on the real-time image.
Description
CONCURRENTLY FILED APPLICATIONS

The following United States patent applications, which were concurrently filed with this one on Oct. 28, 1999, are fully incorporated herein by reference: Method and System for Navigating a Catheter Probe in the Presence of Field-influencing Objects, by Michael Martinelli, Paul Kessman and Brad Jascob; Patient-shielding and Coil System, by Michael Martinelli, Paul Kessman and Brad Jascob; Coil Structures and Methods for Generating Magnetic Fields, by Brad Jascob, Paul Kessman and Michael Martinelli; Registration of Human Anatomy Integrated for Electromagnetic Localization, by Mark W. Hunter and Paul Kessman; System for Translation of Electromagnetic and Optical Localization Systems, by Mark W. Hunter and Paul Kessman; Surgical Communication and Power System, by Mark W. Hunter, Paul Kessman and Brad Jascob; and Surgical Sensor, by Mark W. Hunter, Sheri McCoid and Paul Kessman.


1. Field of the Invention


The present invention is directed generally to image guided surgery, and more particularly, to systems and methods for surgical navigation using one or more real-time ultrasound images overlaid onto pre-acquired images from other image modalities.


2. Description of the Related Art


Physicians have used pre-acquired ultrasound images to plan surgery for many years. Traditionally, ultrasound machines provide two-dimensional images of the relevant human anatomy. Physicians use such images to diagnose, among other things, fetal deformities. However, until recently, physicians have not used such ultrasound images that have been either pre-acquired or acquired in real time during surgery for surgical navigation purposes.


Some recent systems permit the use of ultrasound images in conjunction with a specialized software running on a computer to plan and execute a surgery. For example, among other systems, the Ultraguide system permits a physician to represent an icon representation of a surgical instrument on an ultrasound image. This system also plots a trajectory of a surgical instrument's probe on a two-dimensional ultrasound image.


Similarly, the Life Imaging system also provides some help to a physician by converting two-dimensional ultrasound images into a three-dimensional cube. Subsequently, the physician may view an iconic representation of a surgical instrument on the cube.


However, none of these systems permit a physician to overlay images from other image modalities over ultrasound images along with a display of a surgical instrument on the overlaid images.


SUMMARY OF THE INVENTION

Objects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objects and advantages of the invention will be realized and attained by means of the elements and combinations particularly pointed out in the appended claims.


One aspect of the present invention is directed to a surgical navigation system comprising several devices. In particular, the surgical navigation system includes an ultrasound machine, a computer coupled to the ultrasound machine, such that image data corresponding to the images acquired by the ultrasound machine can be transferred to the computer. In addition, the surgical navigation system includes a memory coupled to the computer which has computer instructions. The computer instructions when executed by the computer cause the computer to generate an icon representing the surgical instrument with a tip and the surgical instrument's trajectory and to overlay the icon on a real-time ultrasound image, such that when the surgical instrument crosses the ultrasound image plane the format of the surgical instrument's trajectory is changed to represent the surgical instrument's crossing of the ultrasound image's plane. Furthermore, the surgical navigation system includes a localizer coupled to the ultrasound machine, which permits the system to localize the ultrasound probe, a part of the ultrasound machine. Finally, the surgical navigation system includes a display coupled to the computer for displaying the generated icon superimposed on the real-time ultrasound image acquired by the ultrasound machine.


The surgical navigation system further includes a display which can display a side view of the ultrasound image with a representation of the surgical instrument's trajectory displaying the angle at which the surgical instrument's trajectory intersects with the ultrasound image. In addition, the claimed system can calculate the angle at which the surgical instrument's trajectory intersects with the ultrasound image. Moreover, the claimed system can also represent the angle at which the surgical instrument's trajectory intersects with the ultrasound image using periodic markers.


Another surgical navigation system consistent with the present invention includes, an ultrasound machine and a video imaging device, such as a laparoscope where the ultrasound machine and the video-imaging device are coupled to the computer in a way that image data from both of these devices can be transferred to the computer. Alternatively, the video imaging device may also be an X-ray machine. In addition, the surgical navigation system has localizers attached to both the ultrasound machine and to the video imaging device. Furthermore, the system includes, a memory coupled to the computer, where the memory includes computer instructions. The computer instructions when executed by the computer cause the computer to overlay the video images acquired by the video imaging device onto the ultrasound image acquired by the ultrasound device such that the two images correspond to a common coordinate system. Finally, the system includes a display that can display the overlaid images.


In addition to the above mentioned systems, the concepts of the present invention may be practiced as a number of related methods.


One method consistent with the present invention is surgical navigation using images from other image modalities overlaid over ultrasound images. The method comprises calibrating the system, a step which need be performed initially only; registering image data-sets from other image modalities to patient anatomy, a physician scanning an area of interest using the ultrasound probe; the computer overlaying images from other image modalities onto the ultrasound images; the physician moving the ultrasound probe or other surgical instruments; and the system calculating a new location of the surgical instruments.


Another method consistent with the present invention is a method for calculating and displaying an ultrasound probe's angle relative to an ultrasound image plane. The method comprises drawing a circle with its center at the point where the ultrasound probe's trajectory crosses the ultrasound image plane. The circle's radius represents the angle of the ultrasound probe relative to the ultrasound image plane. The angle of the ultrasound probe relative to the ultrasound image plane may also be displayed using periodic markers consistent with the present invention.


Still another method consistent with the present invention is a method to overlay image segmentations onto ultrasound images for surgical navigation. The method comprises extracting a two dimensional image from the three-dimensional image data-set; overlaying the extracted segmentation onto an ultrasound image corresponding to the same human anatomy; displaying the overlaid image along with an iconic representation of the surgical instruments; the physician moving the ultrasound probe or other surgical instruments; and the system calculating a new location of the surgical instruments.


An additional method consistent with the present invention is surgical navigation using three-dimensional image data-sets. The method comprises a physician acquiring a three-dimensional ultrasound image data-set; a computer reconstructing the image data-set into an orthogonal data-set; displaying the three-dimensional image on a display along with an iconic representation of the surgical instruments; the physician moving the ultrasound probe or other surgical instruments; and the system calculating a new location of the surgical instruments.


Yet another method consistent with the present invention is a method for detecting organ-matter shift from the time when CT or MR image data-sets are created to the time when the patient is operated upon. The method comprises correlating a real-time ultrasound image and a pre-acquired three-dimensional image to obtain a correlated two-dimensional image; selecting a first set of points on the real-time ultrasound image; selecting a corresponding second set of points on the correlated two-dimensional image; and displaying a vector representing the distance and the direction of the organ-matter shift.


It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.


The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate one (several) embodiment(s) of the invention and together with the description, serve to explain the principles of the invention.





BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate systems and methods consistent with the invention and, together with the description, serve to explain the advantages and principles of the invention.



FIG. 1 is a diagram of an exemplary system used to overlay ultrasound images onto preacquired images from other image modalities;



FIG. 2 is a flow chart illustrating methods consistent with the present invention for navigation using overlaid images;



FIG. 3 is a diagram illustrating a method consistent with the present invention for measuring the angle of a surgical instrument's trajectory relative to an ultrasound image plane;



FIG. 4 is a diagram showing a display of a side view of an ultrasound image with an iconic representation of a surgical instrument and its trajectory indicating the angle of the surgical instrument relative to the ultrasound probe;



FIG. 5 is a pictorial image showing an MR data-set image and an ultrasound image side by side on a display consistent with the present invention;



FIG. 6 is a pictorial image representing a closer view of the MR image and the ultrasound image;



FIG. 7 is a diagram illustrating a method consistent with the present invention for displaying the angle of an ultrasound probe relative to an ultrasound image plane;



FIG. 8 is a diagram illustrating the use of orthogonal ultrasound images in surgical navigation consistent with the present invention;



FIG. 9 is a diagram illustrating a method consistent with the present invention for detecting shift in organ matter;



FIG. 10 is a diagram of an exemplary system used to overlay ultrasound images onto video images acquired using a laparoscope or an X-ray machine;



FIG. 11 is a flow chart illustrating methods consistent with the present invention for navigation using overlaid ultrasound and video images;



FIGS. 12 and 13 are pictorial images representing two video laparoscope images of a gallbladder with an ultrasound image overlaid in correct perspective.





DETAILED DESCRIPTION

Reference will now be made in detail to an implementation consistent with the present invention as illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings and the following description to refer to the same or like parts.


Ultrasound Navigation System Overview

Methods and systems consistent with the present invention permit physicians to navigate surgical probes more accurately without relying upon memorized models of the particular anatomy they may be operating upon. This is because the present system permits a physician to overlay ultrasound images over images from other image modalities giving the physician a three-dimensional image of the particular anatomy overlaid onto the ultrasound image relevant to that anatomy. Overlaying of images along with correlation of points in images from different image modalities can also help the physician in detecting organ-matter shift.



FIG. 1 is a diagram of an exemplary ultrasound navigation system 100 used to acquire ultrasound images. Ultrasound machine 105 is a standard ultrasound machine capable of acquiring ultrasound images and displaying them on the built-in monitor. The ultrasound machine has a probe 115 attached to it via an arm 110, such that the ultrasound probe 115 can be manipulated by a physician to point it at the area of interest to the physician. For example, the physician can point the ultrasound probe 115, on the head of a patient to acquire ultrasound images corresponding to the head of that patient. The ultrasound probe 115 has a localizer 116, also referred to as a tracking marker, attached at its distal end. The localizer 116 can include optical, electromagnetic, acoustic device, or other suitable devices known in the prior art. Localization is a standard technique used in image guided surgery to locate the orientation and position of a surgical instrument or an ultrasound probe relative to a patient's position known in the art. For example, each of the following references discuss systems and methods that permit localization, each of which is incorporated by reference: PCT Publication WO 96/11624 to Bucholz et al., published Apr. 25, 1996; U.S. Pat. No. 5,384,454 to Bucholz; U.S. Pat. No. 5,851,183 to Bucholz; and U.S. Pat. No. 5,871,445 to Bucholz.


Referring further to FIG. 1, the ultrasound machine 105 is connected to a computer 120 such that the acquired ultrasound image data can be transferred to the computer 120. The computer 120 is connected to a display 121, such that images stored on a storage media can be digitally manipulated, saved, printed, or displayed on the display 121. Three-dimensional images, such as pre-acquired images obtained from computed tomography (CT) or Magnetic Resonance Imaging (MR) image data-sets for a particular patient, stored on a storage media, such as an external tape-drive, not shown, attached to the computer 120 may also be manipulated by computer 120 and displayed by the display 121. In addition, the images displayed on the display 121 may also be displayed through a head-mounted display worn by the physician.


Additionally, although FIG. 1 shows only one computer 120, one may have multiple computers implemented as a single computer to perform the functions performed by the computer 120. Moreover, one may not need external storage media for storing the images since those images could be stored on a remote server connected to the computer 120 through a local area network (LAN). In addition, even though FIG. 1 shows only one display 121 coupled to the computer 120, one may have multiple displays, including LCD displays, connected to the computer 120.


Moreover, even though FIG. 1 only illustrates the use of a patient specific CT/MR data-set, the disclosed system may also have three-dimensional atlas data-sets stored on the computer 120. For example, one may have a three-dimensional atlas data-set for the human brain or the kidney stored on a remote server accessible to the computer 120 through a LAN, or on the storage media attached to the computer 120. Atlas data is non-patient specific three-dimensional data describing a “generic” patient. Atlas data may be acquired using CT, MR or other imaging modalities from a particular patient; and may even comprise images from several modalities which are spatially registered (e.g., CT and MR together in a common coordinate system). Atlas data may also have annotations describing anatomy, physiology, pathology, or “optimal” planning information.


In addition, in general, the term “pre-acquired,” as used herein, is not intended to imply any required minimum duration between the acquisition of image data-sets and displaying the corresponding images. Accordingly, a physician may “pre-acquire” image data-sets during surgery while operating upon a patient using the disclosed system.


To operate upon a patient using the disclosed ultrasound surgical navigation system, the patient is positioned between the ultrasound probe 115 and the tracking sensor 117.


A surgical instrument 140 is also embedded with tracking markers, such as for example, emitters and/or reflectors. These markers permit determination of the three dimensional position of an object relative to a patient. The determination of the three dimensional position of an object relative to a patient is known in the art. As mentioned earlier, each of the Bucholz references discuss systems and methods for determination of the three dimensional position of an object relative to a patient. Using known systems in the prior art, the disclosed system can locate the position and orientation of a surgical instrument or a probe being used to operate upon the patient.


Ultrasound Navigation System Setup and Operation


FIG. 2 is a flow chart illustrating the steps for methods consistent with the present invention for ultrasound navigational guidance using the system of FIG. 1. As shown, there are six main steps involved in using the ultrasound navigational guidance system. A physician needs to initially perform the first step, Calibrate 201. After calibrating, discussed hereinafter, in the second step 203, the pre-acquired data-sets belonging to other image modalities may need to be registered in order to obtain a correspondence between these images and the real-time ultrasound images. This step, discussed in detail later, need not be performed every time. Subsequently, in step 205 the physician scans the area of interest of the human anatomy with the ultrasound probe 115. For example, the physician may scan the brain of a patient to obtain ultrasound images of the brain. Next, in step 207 the computer overlays the pre-acquired images corresponding to other image modalities, such as CT and MR onto the ultrasound images. Later, in step 209 the physician may move the surgical instruments or the ultrasound probe. Finally, in the sixth step 211, the system can calculate and display the new position and orientation of the surgical instruments or the ultrasound probe on different images and also on three-dimensional images overlaid on the real-time ultrasound images.


During surgery, the physician may go back to step 205 and scan another area of interest and accordingly the computer may overlay pre-acquired images belonging to other image modalities onto the new ultrasound images. Alternatively, the physician may simply move the ultrasound probe 115 or other surgical instruments as per step 209, and yet remain within the earlier scanned area of interest. Consequently, the system calculates the new location of the ultrasound probe 115 or other surgical instruments and displays the overlapping images on the display 121 attached to the system.


Referring to FIG. 2, as discussed above, a physician or her assistant calibrates the navigational guidance system before using the system for the first time (step 201). In addition, the physician may need to calibrate the system later occasionally to improve the system's accuracy. Indeed, calibration may be performed by service technician familiar with the navigational guidance system. Calibration is the process used to precisely calculate the location of the ultrasound image plane relative to the localizer 116.


Calibration of image guided surgical devices is known in the art. In addition, a U.S. Pat. No. 6,470,207, issued Oct. 22, 2002, assigned to the same assignee, describes calibration in the context of a navigational guidance system using x-rays, which is incorporated by reference. In general, calibration consists of using a calibration device, which may contain objects, such as rows and columns of wires, inside a frame, that can be detected by an ultrasound machine. A user scans the calibration device with the ultrasound probe 115 and the attached localizer 116. The ultrasound navigation system with the help of software running on the computer 120 locates the intersection of wires, which appear as dots in the scanned image of the calibration device. The computer 120 then calculates a transformation between these dots and the actual intersection of the wires that formed a dot located on the actual calibration device.


As discussed earlier, a physician, or the physician's assistant, may use Computed Tomography (CT). or Magnetic Resonance Imaging (MRI) to acquire CT or MR data-sets corresponding to each one of these image modalities. These pre-acquired image data-sets can be stored on a storage device coupled to the computer 120. In addition, these three-dimensional data sets may be acquired by the physician during the operation. Furthermore, the present invention is not limited to using CT or MR images. One may use images from other image modalities as well with the present invention. For example, images acquired using other diagnostic tools, such as Positron Emission Tomography (PET) or X-rays may also be used.


With the ultrasound navigation system setup and the data-sets corresponding to other image modalities acquired, the physician may in step 205 begin surgery by scanning the specific area of human anatomy which needs operative care with the ultrasound probe 115. The real-time image of the specific area acquired by the ultrasound probe 115 is displayed on the display which is part of the ultrasound machine. Next, upon the physician's command the system overlays the three-dimensional image corresponding to a different image modality data-set onto the ultrasound image along with an iconic representation of the surgical instrument 140.


However, before overlaying the three-dimensional image with a graphical representation of a surgical instrument, the correspondence between points in the three-dimensional image and points in the patient's reference frame may need to be determined in step 203, as shown in FIG. 2. The process to achieve this correspondence is known as registration of the image. One method for performing image registration is described in the previously mentioned publications to Bucholz. Another method for performing image registration is described in U.S. Pat. No. 6,470,207, issued Oct. 22, 2002, to the same assignee.


In general, three-dimensional patient specific images can be registered to a patient on the operating room table (surgical space) using multiple two-dimensional image projections. This process, generally referred to as 2D/3D registration, uses two pre-established spatial transformations to relate the surgical space to the three-dimensional image space. Accordingly, the first transformation is between the ultrasound images and the three-dimensional image data-set, such as a CT or an MR data-set corresponding to the same patient.


The second transformation is between the coordinate system of the ultrasound images and an externally measurable reference system, which can be achieved using a tracking sensor 117. Tracking sensor 117 is a real-time infrared tracking sensor linked to computer 120. Specially constructed surgical instruments and other markers, also known as localizers, in the field of tracking sensor 117 can be detected and located in three-dimensional space. For example, a surgical instrument 140, such as a drill, may be embedded with tracking elements, such as for example, infrared emitters/reflectors on its handle. Tracking sensor 117 can then detect the presence and location of infrared emitters/reflectors. Because the relative spatial locations of the emitters/reflectors in instrument 140 are known a priori, tracking sensor 117 and computer 120 are able to locate instrument 140 in three-dimensional space using known mathematical transformations. Instead of using infrared tracking sensor 117 and corresponding infrared emitters/reflectors, other types of positional location devices are known in the art, and may be used. For example, a positional location device may also be based on magnetic fields, optic emissions, sonic emissions, or radio waves. Once these two transformations have been established, the system may relate the surgical space directly to the three-dimensional image space.


Finally, with a display of the surgical instrument overlaid on the ultrasound image, which in turn is blended with a three-dimensional image from another modality the physician can guide the surgical instrument more effectively. Several well known techniques can be used to blend the images. For example, a computer may implement an algorithm that for each pixel establishes α as the blending ratio. Assuming X is a pixel from the ultrasound image and Y is a pixel from the MR or CT image. Then the computer may perform the following calculation to arrive at a pixel Z for the blended image:

Blended Image Pixel Z=((X*α)+(Y*(1−α)))


Referring to FIGS. 1 and 5, when during surgery the physician moves the ultrasound probe 115 or other surgical instrument(s) in step 509, the system calculates the new location of the ultrasound probe 115 or the location of other surgical instruments. The system does this by using a technique called localization, which as discussed earlier, is known in the art.


In addition to above methods and techniques a physician may achieve better surgical navigation using the techniques and methods discussed below.


Displaying Surgical Instrument to Ultrasound Image Angle

Referring to FIGS. 1, 3, and 4 the ultrasound navigation system may also be used to calculate and display the angle of a surgical instrument 340 to the ultrasound image plane 350. The computer 120 may calculate the angle by drawing a circle with its center at the point where the surgical instrument's trajectory 342 passes through the ultrasound image plane 350. The radius of the circle may represent the angle of the trajectory 342 to the ultrasound plane 350. This is because the computer 120 may use trigonometric techniques such as drawing a perpendicular line from the tip 341 of the surgical instrument 340 onto the ultrasound image plane 350. Accordingly, the radius of a circle drawn by the computer 120 with its center at the point where the surgical instrument's trajectory 342 passes through the ultrasound image plane 350 may represent the angle of the surgical instrument 340 to the ultrasound image plane 350. The system may display this angle on the display 121 as shown in FIG. 4.


Referring to FIG. 4, the system may display a side view of the ultrasound image plane 450. It may also display the trajectory of a surgical instrument 440 intersecting with the ultrasound image plane 450 and changing the display of the trajectory to a dotted representation 442 after the trajectory crosses the ultrasound image plane 450.



FIG. 5 is a pictorial image showing an MR data-set image 515 and an ultrasound image 530 side by side on the display 120. Both images have an iconic representation of a surgical instrument 505 superimposed on the images. The figure also indicates that the system displays a trajectory of a surgical instrument tip 507 and changes the trajectory from a solid line trajectory 510 to a dashed line trajectory 515 when the trajectory crosses the MR data-set image plane and the ultrasound image plane respectively. FIG. 6 is another pictorial image representing a zoomed-in view of the MR image and the ultrasound image. A physician may select either view or may display both views on the display 121.


Displaying Surgical Instrument to Ultrasound Image Angle Using Periodic Markers

Referring to FIG. 7, the disclosed system can display the angle of the surgical instrument 140 relative to the ultrasound image plane by displaying periodic markers 715. The distance between the periodic markers changes as a function of the cosine of the angle between the surgical instrument trajectory 710 and the ultrasound image plane. Accordingly, the periodic markers may also indicate the angle of the surgical instrument trajectory 710 to the ultrasound image.


Displaying Orthogonal Images for Better Navigation

Referring to FIG. 8, the ultrasound navigation system may also display multiple orthogonal ultrasound images 801 and 805. In addition, the system may also upon command display iconic representation 840 of a surgical instrument onto the orthogonal ultrasound images 801 and 805.


Overlaying Segmentations onto Ultrasound Images

The system disclosed in FIG. 1, may also be used to overlay image segmentations onto ultrasound images for surgical navigation. In general, segmentations are surfaces or sets of other information extracted from a three-dimensional data-set. Segmentations can be obtained by the computer 120, on command, from the pre-acquired three-dimensional image data-sets by using known computer graphics algorithms. The extracted segmentation can then be overlaid onto an ultrasound image in the correct perspective by the computer 120. The overlaid image can be displayed by the display 121, as discussed earlier.


In addition, referring to FIG. 1, and as discussed earlier, the computer 120 also displays an iconic representation of any surgical instrument 140 with tracking sensors. Also, the computer 120 can recalculate and display the location of the surgical instrument 140 onto the overlaid image when the physician moves the surgical instrument 140 during surgical navigation.


Surgical Navigation with Three-Dimensional Image Data-Sets

The ultrasound navigation system shown in FIG. 1 may also be used to help a physician in surgical navigation by displaying three-dimensional ultrasound image data-sets. A physician or a physician's assistant can acquire a three-dimensional ultrasound image data-set by using known techniques that may be free-hand or may involve use of mechanical movements. Once the image data is acquired using any of the known techniques, the computer 120 can then using graphics related mathematical computations reconstruct this data into an orthogonal data-set. Later, the computer 120 can display the orthogonal data-set as a three-dimensional image on the display 121.


The computer 120 then overlays a real-time ultrasound image over the pre-acquired and computationally generated three-dimensional image in the right perspective. In addition, the computer 120 with the help of known algorithms can map an ultrasound image relating to an area of an interest onto the surface of the pre-acquired three-dimensional image of the same area. The general technique of mapping an image onto the surface of a three-dimensional image in the correct perspective is known in the art, and is referred to as texture mapping. Accordingly, using known texture mapping algorithms, an ultrasound image of an area of interest can be mapped onto a three-dimensional image of a particular area of human anatomy, and can be displayed on the display 121, aiding a physician in better surgical navigation.


In general; however, due to perspective transformation or the curvature of the surface, texture mapping may result in a distorted image. To alleviate this problem, the disclosed system may use known filtering-techniques that help reduce distortion. Thus, the computer 120 with the help of software can execute instructions corresponding to known filtering algorithms, which can reduce image distortion.


In addition, referring to FIG. 1, and as discussed earlier, the computer 120 also displays an iconic representation of any surgical instrument 140 with tracking sensors. Also, the computer 120 can recalculate and display the location of the surgical instrument 140 onto the texture mapped ultrasound image when the physician moves the surgical instrument 140 during surgical navigation.


Detecting Organ Shift Using the Ultrasound Navigation System

The ultrasound navigation system shown in FIG. 1 may also be used to detect organ-matter shift during surgery. Detection of organ-matter shift is important since a patient's organ-matter may have shifted from the time when CT or MR data-sets for that patient were created to the time when the patient is actually operated upon. For example, a physician's assistant may have obtained CT or MR images of a patient needing neurosurgery. However, the physician scheduled to operate upon the patient may not operate upon the patient until a later time during which the grey-matter or other organic matter comprising the brain may have shifted. Referring to FIG. 9, once the ultrasound image 910 and the extracted CT or MR two-dimensional image 950 are correlated the computer 120 with the help of software can perform certain calculations and measurements to indicate organ-matter shift.


Correlation involves performing registration, localization, and calibration. Registration, as discussed earlier, involves determining the correspondence between points in the three-dimensional image and points in the patient's reference frame. One method for performing image registration is described in the previously mentioned publications to Bucholz. Another method for performing image registration is described in U.S. Pat. No. 6,470,207, issued Oct. 22, 2002, to the same assignee.


In general, as discussed earlier, three-dimensional patient specific images can be registered to a patient on the operating room table (surgical space) using multiple two-dimensional image projections. This process, generally referred to as 2D/3D registration, uses two pre-established spatial transformations to relate the surgical space to the three-dimensional image space. Accordingly, the first transformation is between the ultrasound images and the three-dimensional image data-set, such as a CT or an MR data-set corresponding to the same patient. The second transformation is between the coordinate system of the ultrasound images and an externally measurable reference system which can be achieved using a tracking sensor 117. The tracking sensor 117 is also known as a localizer array, and the process of achieving the previously mentioned transformation is referred to as localization.


Tracking sensor 117 is a real-time infrared tracking sensor linked to computer 120. Specially constructed surgical instruments and other markers in the field of tracking sensor 117 can be detected and located in three-dimensional space. For example, a surgical instrument 140, such as a drill, is embedded with infrared emitters/reflectors on its handle. Tracking sensor 117 detects the presence and location of infrared emitters/reflectors. Because the relative spatial locations of the emitters/reflectors in instrument 140 are known a priori, tracking sensor 117 and computer 120 are able to locate instrument 140 in three-dimensional space using well known mathematical transformations. Instead of using infrared tracking sensor 117 and corresponding infrared emitters/reflectors, other types of positional location devices are known in the art, and may be used. For example, a positional location device may also be based on magnetic fields, sonic emissions, or radio waves. Once these two transformations have been established, the system may relate the surgical space directly to the three-dimensional image space.


Finally, the system may need to be calibrated. Calibration is the process to precisely calculate the location of the ultrasound image plane relative to the localizer 116. Consequently, calibration improves the interpretation of the ultrasound images where the ultrasound probe 115 may have been displaced in relation to the localizer 116.


As discussed earlier, calibration of image guided surgical devices is known in the art. For example, the previously mentioned Bucholz references describe calibration. In addition, U.S. Pat. No. 6,470,207, issued Oct. 22, 2002, assigned to the same assignee, describes calibration in the context of a navigational guidance system using x-rays. In general calibration consists of using a calibration device, which may contain objects, such as rows and columns of wires inside a frame, that can be detected by an ultrasound machine. A user scans the calibration device with the ultrasound probe 115 and the attached localizer 116. The ultrasound navigation system with the help of software running on the computer 120 locates the intersection of wires, which appear as dots in the scanned image of the calibration device. The computer 120 then calculates a transformation between these dots and the actual intersection of the wires that formed a dot located on the actual calibration device.


Once the system disclosed in FIG. 1 has registered, calibrated, and localized the images, the system may be used to detect organ-matter shift using certain measurements. To perform these measurements, points 912, 914, and 916 must first be established within the ultrasound image 910. These points may be established using any peripheral device attached to the computer 120. For example, a mouse attached to the computer 120 may be used to select the points of interest on the ultrasound image 910.


Once these points are selected the software on computer 120 can then transform the coordinates of these points into a three-dimensional image generated from CT or MR data-set specific to a patient. Next, the software running on computer 120 can extract the correlated CT or MR two-dimensional image from the three-dimensional CT or MR data-set. Having done so, the computer 120 can display the extracted two-dimensional image on the display 121.


The physician can then select points 952, 954, and 956 on the extracted two-dimensional image 950 corresponding to the ultrasound image 910 by finding the corresponding anatomy in the extracted two-dimensional image 950. The computer 120 can then display the distance and the trajectory 975 between the corresponding points, giving the physician a graphical view of the extent of the organ-matter shift. For example, referring to FIG. 6, the dotted line 975 represents the organ-matter shift as indicated by the distance between point 954 and point 954′, which is where the corresponding point to 914 would have appeared had the organ-matter not shifted.


Overlay of Video Imagery onto Ultrasound Images

Referring to FIG. 10, an ultrasound machine 1050 is connected to a computer 1200 such that the acquired ultrasound images can be transferred to the computer 1200. The computer 1200 is connected to a display 1210, such that images stored on a storage media can be digitally manipulated, saved, printed or displayed on the display 1210. Also, an X-ray machine or a laparoscope 1090 may also be connected to the computer such that X-ray images or video imagery from the laparoscope 1090 can be transferred to the computer 1200. In addition, like the ultrasound images, these images can also be digitally manipulated, saved, printed, or displayed on the display 1210.


Referring to FIG. 10, both the ultrasound machine 1050 and the laparoscope 1090 have each a localizer 1160, 1091 attached to them. As discussed earlier, the localizers could be, for example, either optical, electromagnetic, acoustic, or other known systems. In addition, localization is a standard technique used in image guided surgery to locate the orientation and the position of a surgical instrument, an ultrasound probe, or a laparoscope, relative to a patient's position and is known in the art. As mentioned earlier, each of the Bucholz references discuss systems and methods that permit localization.



FIG. 11 is a flow chart illustrating the steps for methods consistent with the present invention for ultrasound and video navigational guidance using the system of FIG. 10. As shown in FIG. 11, there are seven main steps involved in using the disclosed system. A physician needs to perform the first two steps: Calibrate ultrasound machine (step 1100) and Calibrate laparoscope (step 1101), only occasionally. After calibration, which need not be performed every time, the physician in the third step, step 1103, scans an area of interest of human anatomy using the ultrasound probe. Subsequently, in step 1105 the physician obtains a video image of the same area of that particular patient using a laparoscope 1090. Note that the physician may in this step use an X-ray machine to acquire an image of the same area of anatomy as well. In general, a physician may use any known system that permits the physician to obtain a video image of the relevant area of interest.


Later, in step 1107, the computer overlays the acquired ultrasound image onto the video image. For the images to be useful in surgical navigation the system ensures that the ultrasound probe 1150 and the laparoscope 1090 are localized. As discussed earlier, localization is a known technique. In the next step 1109, the physician during surgery may move the ultrasound probe 1150, or the laparoscope 1090. In addition, the physician may be using a surgical instrument 1400, which also has been localized, to perform the surgery. In step 1111, the system calculates the new location of the surgical instrument 1400 and displays it on the overlaid images. If the physician, scans a different area of interest, then the system displays the overlaid images corresponding to the new area of interest. In addition, the system calculates the new location of the surgical instrument 1400 and displays an iconic representation of the surgical instrument 1400 on the display 1210.



FIGS. 12 and 13 are pictorial images representing the two video laparoscope images 1220 and 1320 of a gallbladder with an ultrasound image 1200/1300 overlaid in correct perspective.

Claims
  • 1. A method for detecting organ-matter shift in a patient, the method comprising: pre-acquiring a three-dimensional image data set of the patient; obtaining a real-time ultrasound image of the patient; correlating the real-time ultrasound image and the pre-acquired three-dimensional image to obtain a correlated two-dimensional image; selecting a first set of points on the real-time ultrasound image; selecting a corresponding second set of points on the correlated two-dimensional image; and determining a vector representing at least one of a distance and a direction of the organ matter shift.
  • 2. The method as defined in claim 1 further comprising displaying the vector representing at least one of a distance and a direction of the organ matter shift.
  • 3. The method as defined in claim 2 further comprising displaying the vector on the correlated two-dimensional image.
  • 4. The method as defined in claim 3 further comprising displaying the vector as a dotted line on the correlated two-dimensional image.
  • 5. The method as defined in claim 1 wherein preacquiring a three-dimensional image data set of the patient further includes preacquiring a three-dimensional atlas data set.
  • 6. The method as defined in claim 1 further comprising overlaying image segmentations onto the real-time ultrasound image of the patient.
  • 7. The method as defined in claim 1 wherein selecting a first set of points includes selecting three points on the real-time ultrasound image and selecting a corresponding second set of points includes selecting three corresponding points on the correlated two-dimensional image.
  • 8. The method as defined in claim 1 wherein pre-acquiring the three-dimensional image of the patient is acquired by using an imaging device selected from a group consisting of ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), x-rays or any combination thereof.
  • 9. The method as defined in claim 8 further comprising tracking a location of a surgical instrument using the position tracking sensor.
  • 10. The method as defined in claim 1 wherein correlating the real-time ultrasound image and the pre-acquired three-dimensional image includes performing at least one of registration, localization, and calibration.
  • 11. The method as defined in claim 10 wherein the registration is 2-D/3-D registration that uses two pre-established spatial transformations to relate surgical space to a pre-acquired three-dimensional image space.
  • 12. The method as defined in claim 11 wherein the first transformation is between the real-time ultrasound image and the pre-acquired three-dimensional image data set and the second transformation is between a coordinate system of the ultrasound image and an externally measurable reference system using a position tracking sensor.
  • 13. The method as defined in claim 12 wherein said position tracking sensor is selected from a group consisting of optical, electromagnetic, acoustic localizers, or any combination thereof.
  • 14. The method as defined in claim 1 wherein the organ-matter shift is a brain shift.
  • 15. The method as defined in claim 14 further comprising calibrating a tracked ultrasound image device that is operable to obtain the real-time ultrasound image of the patient.
  • 16. The method as defined in claim 15 wherein the calibration further includes scanning a calibration device with the tracked ultrasound image device and calculating a transformation between landmarks identified by the ultrasound image device and the actual landmarks on the calibration device.
  • 17. The method as defined in claim 16 further comprising generating the three-dimensional image data set from a device selected from a group consisting of ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), x-rays or any combination thereof.
  • 18. The method as defined in claim 1 wherein selecting a first set of points in the real-time ultrasound image further includes selecting the points using a peripheral device.
  • 19. The method as defined in claim 1 wherein correlating the real-time ultrasound image and the preacquired three-dimensional image further includes transforming coordinates of the first set of points selected on the real-time ultrasound image into the three-dimensional image data set to obtain the correlated two-dimensional image.
  • 20. A method for surgical navigation using a surgical navigation system comprising: extracting a two-dimensional image from a three-dimensional image data set; overlaying the extracted two-dimensional image onto an ultrasound image; and displaying the overlaid image with an iconic representation of a localized surgical instrument superimposed on the overlaid image.
  • 21. The method as defined in claim 20 further comprising: moving the localized surgical instrument to a new location; and displaying an iconic representation of the new location of the surgical instrument on the overlaid image.
  • 22. A method for surgical navigation using three-dimensional image data sets comprising: acquiring a three-dimensional image data set; reconstructing the three-dimensional image data set into an orthogonal data set; displaying the orthogonal data set as a three-dimensional image on a display; acquiring an ultrasound image and mapping the ultrasound image onto a surface of the three-dimensional image using textured mapping; and displaying the textured map image.
  • 23. The method as defined in claim 22 further comprising displaying an iconic representation of a localized surgical instrument onto the textured map image.
  • 24. The method as defined in claim 23 further comprising: moving the localized surgical instrument to a new location; and displaying an iconic representation of the new location of the surgical instrument on the textured map image.
  • 25. A method for detecting organ-matter shift in a patient, the method comprising: pre-acquiring a three-dimensional image data set of the patient; obtaining a real-time ultrasound image of the patient; correlating the real-time ultrasound image and the pre-acquired three-dimensional image to obtain a correlated two-dimensional image using 2-D/3-D registration; and determining a vector representing at least one of a distance and a direction of the organ matter shift.
  • 26. The method as defined in claim 25 further comprising displaying the vector representing at least one of a distance and a direction of the organ matter shift.
  • 27. The method as defined in claim 25 wherein preacquiring a three-dimensional image data set of the patient further includes preacquiring a three-dimensional atlas data set.
  • 28. The method as defined in claim 25 further comprising overlaying image segmentations onto the real-time ultrasound image of the patient.
  • 29. The method as defined in claim 25 wherein correlating using 2-D/3-D registration further includes determining two spatial transformations to relate surgical space to three-dimensional image space.
  • 30. The method as defined in claim 25 wherein using the two spatial transformations include using a first transformation between the ultrasound image and the three-dimensional image data set and using a second transformation between a coordinate system of the ultrasound image and an externally measurable reference system using a position tracking sensor.
  • 31. The method as defined in claim 30 wherein said position tracking sensor is selected from a group consisting of optical, electromagnetic, acoustic localizers, or any combination thereof.
  • 32. The method as defined in claim 30 further comprising tracking a location of a surgical instrument using the position tracking sensor.
  • 33. The method as defined in claim 25 further comprising selecting a first set of points on the real-time ultrasound image and selecting a corresponding second set of points on the correlated two-dimensional image.
  • 34. A method for detecting organ-matter shift from a preacquired three-dimensional image data set of a patient, the method comprising: obtaining a real-time ultrasound image of the patient; selecting a first set of points on the real-time ultrasound image; transforming the coordinates of the first set of points into the preacquired three-dimensional image data set; extracting a correlated two-dimensional image from the three-dimensional image data set; selecting a corresponding second set of points on the correlated two-dimensional image; and determining a vector representing at least one of a distance and a direction of the organ matter shift.
  • 35. The method as defined in claim 34 further comprising displaying the vector representing at least one of a distance and a direction of the organ matter shift.
  • 36. The method as defined in claim 34 wherein preacquiring a three-dimensional image data set of the patient further includes preacquiring a three-dimensional atlas data set.
  • 37. The method as defined in claim 34 further comprising overlaying image segmentations onto the real-time ultrasound image of the patient.
  • 38. The method as defined in claim 34 wherein selecting a first set of points includes selecting three points on the real-time ultrasound image and selecting a corresponding second set of points includes selecting three corresponding points on the correlated two-dimensional image.
  • 39. The method as defined in claim 34 further comprising tracking a location of a surgical instrument using a position tracking sensor.
  • 40. The method as defined in claim 34 further comprising calibrating a tracked ultrasound image device that is operable to obtain the real-time ultrasound image of the patient.
  • 41. The method as defined in claim 34 wherein selecting a first set of points in the real-time ultrasound image further includes selecting these points using a peripheral device.
  • 42. The method as defined in claim 34 wherein the correlated two-dimensional image is generated from correlating the real-time ultrasound image with the preacquired three-dimensional image data set.
  • 43. The method as defined in claim 42 wherein correlating includes performing at least one of registration, localization, and calibration.
  • 44. A method for detecting organ-matter shift in a patient, the method comprising: obtaining a preacquired image of the patient; obtaining a real-time image of the patient; correlating the real-time image and the preacquired image to obtain a correlated image; selecting a first set of points on one of said images; and displaying a corresponding second set of points on another one of said images, wherein said corresponding second set of points represents the organ-matter shift in the patient.
  • 45. The method as defined in claim 44 wherein determining a preacquired image of the patient includes obtaining a three-dimensional image data set of the patient.
  • 46. The method as defined in claim 45 wherein obtaining a real-time image of the patient includes obtaining a real-time ultrasound image of the patient.
  • 47. The method as defined in claim 46 wherein selecting a first set of points includes selecting a first set of points on the real-time ultrasound image.
  • 48. The method as defined in claim 47 wherein displaying a corresponding second set of points includes displaying a corresponding second set of points on the correlated two-dimensional image.
  • 49. The method as defined in claim 48 further comprising selecting the corresponding second set of points on the correlated two-dimensional image.
  • 50. The method as defined in claim 49 further comprising determining a vector representing at least one of a distance and a direction of the organ-matter shift.
  • 51. The method as defined in claim 50 further comprising displaying the vector representing at least one of the distance and the direction of the organ-matter shift.
CROSS REFERENCE TO RELATED APPLICATIONS

This application is a divisional of U.S. Ser. No. 10/047,927, filed Jan. 14, 2002, now U.S. Pat. No. 6,669,635, issued Dec. 30, 2003, which is a continuation of U.S. Ser. No. 09/428,720, filed Oct. 28, 1999, now U.S. Pat. No. 6,379,302, issued Apr. 30, 2002. The disclosures of the above applications and/or patents are incorporated herein by reference.

US Referenced Citations (428)
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
3294083 Alderson Dec 1966 A
3367326 Frazier Feb 1968 A
3439256 Kähne et al. Apr 1969 A
3577160 White May 1971 A
3674014 Tillander Jul 1972 A
3702935 Carey et al. Nov 1972 A
3704707 Halloran Dec 1972 A
3868565 Kuipers Feb 1975 A
3941127 Froning Mar 1976 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
4202349 Jones May 1980 A
4262306 Renner Apr 1981 A
4287809 Egli et al. Sep 1981 A
4314251 Raab Feb 1982 A
4317078 Weed et al. Feb 1982 A
4328813 Ray May 1982 A
4339953 Iwasaki Jul 1982 A
4358856 Stivender et al. Nov 1982 A
4368536 Pfeiler Jan 1983 A
4396885 Constant Aug 1983 A
4403321 Kruger Sep 1983 A
4418422 Richter et al. Nov 1983 A
4422041 Lienau Dec 1983 A
4431005 McCormick Feb 1984 A
4485815 Amplatz et al. Dec 1984 A
4543959 Sepponen Oct 1985 A
4548208 Niemi Oct 1985 A
4572198 Codrington Feb 1986 A
4584577 Temple Apr 1986 A
4613866 Blood Sep 1986 A
4618978 Cosman Oct 1986 A
4621628 Bludermann Nov 1986 A
4625718 Olerud et al. Dec 1986 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
4673352 Hansen Jun 1987 A
4706665 Gouda Nov 1987 A
4719419 Dawley Jan 1988 A
4722056 Roberts et al. Jan 1988 A
4722336 Kim et al. Feb 1988 A
4727565 Ericson Feb 1988 A
4737794 Jones Apr 1988 A
4737921 Goldwasser et al. Apr 1988 A
4750487 Zanetti Jun 1988 A
4771787 Wurster et al. Sep 1988 A
4791934 Brunnett Dec 1988 A
4793355 Crum et al. Dec 1988 A
4797907 Anderton Jan 1989 A
4803976 Frigg et al. Feb 1989 A
4821206 Arora Apr 1989 A
4821731 Martinelli et al. Apr 1989 A
4836778 Baumrind et al. Jun 1989 A
4845771 Wislocki et al. Jul 1989 A
4849692 Blood Jul 1989 A
4862893 Martinelli Sep 1989 A
4889526 Rauscher et al. Dec 1989 A
4896673 Mathur 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
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
5027818 Bova et al. Jul 1991 A
5030196 Inoue Jul 1991 A
5030222 Calandruccio et al. Jul 1991 A
5031203 Trecha Jul 1991 A
5037374 Carol Aug 1991 A
5042486 Pfeiler et al. Aug 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
5079699 Tuy et al. Jan 1992 A
5086401 Glassman et al. Feb 1992 A
5094241 Allen Mar 1992 A
5097839 Allen 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
5119817 Allen Jun 1992 A
5142930 Allen et al. Sep 1992 A
5150715 Ishiguro 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 Schlöndorff 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
5197476 Nowacki et al. Mar 1993 A
5197965 Cherry et al. Mar 1993 A
5198768 Keren Mar 1993 A
5198877 Schulz Mar 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
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
5257628 Ishiguro et al. Nov 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 Dumooulin 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
5291199 Overman et al. Mar 1994 A
5295483 Nowacki et al. Mar 1994 A
5297549 Beatty et al. Mar 1994 A
5299254 Dancer et al. Mar 1994 A
5299288 Glassman et al. Mar 1994 A
5305091 Gelbart et al. Apr 1994 A
5305203 Raab 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
5333168 Fernandes et al. Jul 1994 A
5345938 Nishiki et al. Sep 1994 A
5353795 Souza et al. Oct 1994 A
5353800 Pohndorf et al. Oct 1994 A
5353807 DeMarco Oct 1994 A
5359417 Müller 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
5458718 Venkitachalam Oct 1995 A
5464446 Dreessen et al. Nov 1995 A
5478341 Cook et al. Dec 1995 A
5478343 Ritter Dec 1995 A
5480422 Ben-Haim Jan 1996 A
5483961 Kelly et al. 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 Schlöndorff et al. Feb 1996 A
5503320 Webster et al. Apr 1996 A
5503416 Aoki et al. Apr 1996 A
5513637 Twiss 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
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
5568809 Ben-haim Oct 1996 A
5572999 Funda et al. Nov 1996 A
5573533 Strul Nov 1996 A
5575794 Walus et al. 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
5608849 King, Jr. 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
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
5694945 Ben-Haim Dec 1997 A
5695500 Taylor et al. Dec 1997 A
5695501 Carol et al. 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
5735278 Hoult et al. Apr 1998 A
5738096 Ben-Haim Apr 1998 A
5740802 Nafis 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
5765561 Chen et al. Jun 1998 A
5767669 Hansen et al. Jun 1998 A
5769789 Wang et al. Jun 1998 A
5769861 Vilsmeier Jun 1998 A
5772594 Barrick Jun 1998 A
5775322 Silverstein et al. Jul 1998 A
5776064 Kalfas et al. Jul 1998 A
5782765 Jonkman Jul 1998 A
5787866 Sugiyama et al. Aug 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
5810728 Kuhn Sep 1998 A
5810735 Halperin et al. Sep 1998 A
5823192 Kalend et al. Oct 1998 A
5823958 Truppe Oct 1998 A
5828725 Levinson 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
5884410 Prinz 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
5947981 Cosman Sep 1999 A
5950629 Taylor et al. Sep 1999 A
5951475 Gueziec et al. Sep 1999 A
5954647 Bova et al. Sep 1999 A
5964796 Imran Oct 1999 A
5967980 Ferre et al. Oct 1999 A
5967982 Barnett Oct 1999 A
5968047 Reed 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
6016439 Acker Jan 2000 A
6019725 Vesely et al. Feb 2000 A
6021342 Brabrand Feb 2000 A
6024695 Taylor 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
6073043 Schneider Jun 2000 A
6104944 Martinelli Aug 2000 A
6118845 Simon et al. Sep 2000 A
6122538 Sliwa, Jr. et al. Sep 2000 A
6131396 Duerr et al. Oct 2000 A
6139183 Graumann Oct 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
6216029 Paltieli Apr 2001 B1
6223067 Vilsmeier et al. Apr 2001 B1
6233476 Strommer et al. May 2001 B1
6246231 Ashe Jun 2001 B1
6273896 Franck et al. Aug 2001 B1
6285902 Kienzle, III et al. Sep 2001 B1
6298262 Franck et al. Oct 2001 B1
6332089 Acker et al. Dec 2001 B1
6341231 Ferre et al. Jan 2002 B1
6351659 Vilsmeier Feb 2002 B1
6379302 Kessman et al. Apr 2002 B1
6381485 Hunter et al. Apr 2002 B1
6424856 Vilsmeier et al. Jul 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
6470207 Simon et al. Oct 2002 B1
6474341 Hunter et al. Nov 2002 B1
6493573 Martinelli et al. Dec 2002 B1
6498944 Ben-Haim et al. Dec 2002 B1
6499488 Hunter et al. Dec 2002 B1
6527443 Vilsmeier et al. Mar 2003 B1
6551325 Neubauer et al. Apr 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
6694162 Hartlep Feb 2004 B2
6701179 Martinelli et al. Mar 2004 B1
Foreign Referenced Citations (32)
Number Date Country
964149 Mar 1975 CA
3042343 Jun 1982 DE
3831278 Mar 1989 DE
4233978 Apr 1994 DE
10085137 Nov 2002 DE
0 319 844 Jan 1988 EP
0419729 Sep 1989 EP
0350996 Jan 1990 EP
0 651 968 Aug 1990 EP
0 581 704 Jul 1993 EP
0 655138 Apr 1998 EP
0 894473 Feb 1999 EP
0 922 438 Jun 1999 EP
2417970 Feb 1979 FR
2765738 Jun 1998 JP
WO 8809151 Dec 1988 WO
WO 8905123 Jun 1989 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 9611624 Apr 1996 WO
WO 9625881 Aug 1996 WO
WO 9703609 Feb 1997 WO
WO 9808554 Mar 1998 WO
WO 9838908 Sep 1998 WO
WO 9960939 Jan 1999 WO
WO 0130437 May 2001 WO
Related Publications (1)
Number Date Country
20040059217 A1 Mar 2004 US
Divisions (1)
Number Date Country
Parent 10047927 Jan 2002 US
Child 10664646 US
Continuations (1)
Number Date Country
Parent 09428720 Oct 1999 US
Child 10047927 US