Patent Document

FIELD OF THE INVENTION 
       [0001]    The field of the invention relates to medical devices, and more particularly, to methods for tracking catheters such as those used to conduct ultrasonic imaging. 
       BACKGROUND OF THE INVENTION 
       [0002]    In the medical arts, catheters are frequently used to diagnose and treat various disorders in a patient, such as clogged or blocked blood vessels. A catheter is introduced into a blood vessel of a patient by, for example, making an incision in the patient over the blood vessel and inserting the catheter into the blood vessel of the patient. A catheter operator such as a physician then maneuvers the catheter through the blood vessels of the patient until the catheter is properly situated to diagnose or treat the disorder. Similar techniques are used to insert catheters into other types of lumens within a patient. 
         [0003]    In maneuvering the catheter through the blood vessels or other lumens within the patient, there is a recurrent need to know the location of the catheter within the body space of the patient. Conventional imaging systems create an image of the blood vessel or other lumen which make the lumen appear as a straight tube, and provide no concept of 3-dimensional (“3-D”) spatial relationships. In the patient, however, the lumens curve about, and contain branches that branch off at various angles from the lumen. If the position in three dimensions of the imaging head on the catheter can be determined, then through use of three-dimensional imaging software, the true positions and locations of the curves, twists, and turns, as well as the locations of the branch points, of the lumens can be determined. Knowing the true positions allows a more accurate map of the patient to be created, which yields more effective diagnosis and treatment of the patient. For example, gathering accurate 3-D position data allows for an accurate blood flow map and consequent blood flow monitoring and modeling. 
         [0004]    Traditionally, X-ray technology has been used to provide a global roadmap of X-ray visible devices, showing their position within the patient. However, an X-ray image, being a two-dimensional projection, can only provide partial information on the 3-D shape of the catheter path. Furthermore, prolonged exposure to X-rays may be harmful to the patient, and it is therefore desirable to avoid such exposures. Thus there is a need for a tracking system which can easily determine the location of a catheter within a patient, without exposing the patient to harmful side effects, and which can be used with a wide variety of catheters or other imaging medical devices. 
         [0005]    To overcome the problems inherent with X-ray tracking of catheters, various technologies have arisen which attempt to gather positional information about the location of a catheter within the patient, without the harmful side-effects of X-ray technology. Among such technologies are tracking systems which gather positional information using electromagnetic, optical, mechanical, acoustic, and/or inertial sensing elements. Many of these technologies require the addition of extra elements to the catheter, to allow it to be tracked within the patient. 
         [0006]    Therefore there is a need for an improved method of tracking catheters. 
       SUMMARY OF THE INVENTION 
       [0007]    For imaging catheters, the disadvantages of X-ray tracking can be avoided, without needing any additional equipment added on to the catheter, by relying on the data contained in the images collected by the imaging catheter itself to determine the position of the catheter within the body. This improved method can also be used with other forms of catheters, as long as the catheter has some ability to gather data about its immediate surroundings. 
         [0008]    In this method, a first image gathered by the imaging catheter is compared to a second image gathered by the imaging catheter, and this comparison is used to compute one or more offset angles between the first and second images. This data is used to determine the relative position of the second image with respect to the first image. By making these determinations for each of a series of images, the orientation of the entire series of images, in three dimensions, can be determined. Since the orientation of an imaging catheter image is determined by the orientation of the imaging element at the tip of the imaging catheter, this method allows the position of the imaging element to be determined. This method also allows an imaging system to create a true or more true three-dimensional representation of the lumen that the catheter is traveling through. 
         [0009]    Other systems, methods, features and advantages of the invention will be or will become apparent to one with skill in the art upon examination of the following figures and detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS  
         [0010]    In order to better appreciate how the above-recited and other advantages and objects of the present inventions are obtained, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments thereof, which are illustrated in the accompanying drawings. It should be noted that the components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention. Moreover, in the figures, like reference numerals designate corresponding parts throughout the different views. However, like parts do not always have like reference numerals. Moreover, all illustrations are intended to convey concepts, where relative sizes, shapes and other detailed attributes may be illustrated schematically rather than literally or precisely. 
           [0011]      FIG. 1  is an imaging system in accordance with an example embodiment of the invention. 
           [0012]      FIG. 2  is a series of image slices of a volume of material. 
           [0013]      FIG. 3  is a series of image slices of a volume of material, including example objects within the volume of material. 
           [0014]      FIG. 4  is the series of image slices, showing the cross-sections of the example objects within each image slice. 
           [0015]      FIG. 5  is an example of a graph of the loss of correlation between two pairs of planes. 
           [0016]      FIG. 6  shows the fitted exponential functions for the graph of  FIG. 5 . 
           [0017]      FIG. 7  is a graph of the relationship between derivatives of exponential functions and angles of separation. 
           [0018]      FIG. 8  shows the position of an image plane in polar coordinates, with respect to a reference plane. 
           [0019]      FIG. 9  shows the position of a second image plane in polar coordinates, with respect to a reference plane. 
       
    
    
     DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS  
       [0020]    Turning to  FIG. 1 , an imaging system for use with an example embodiment of the invention includes an imaging catheter  10  coupled to a computer  20  which is executing imaging software to display images on a video display  30 . The imaging catheter  10  includes an imaging head  12  located at the tip of the imaging catheter  10 . The imaging head  12  may be an ultrasonic transducer, a light based imaging device, or any other device which gathers imaging data. The imaging catheter  10  is inserted into a lumen in a patient, such as a blood vessel. The imaging head  12  gathers image data from within the lumen of the patient, for example by collecting a cross section image of the lumen. In one specific embodiment, the imaging head  12  rotates about the axis of the catheter  10 , and gathers a circular band of image data from the lumen by reflecting sound waves off of the lumen. Alternatively, light waves can be reflected off of the lumen and received by the imaging head  12 . The imaging head  12  sends this image data down the catheter  10  along a data communication channel  15  such as a wire or fiber optic channel, to the computer  20 . The computer  20  receives the image data, optionally processes the image data, and then displays the image data on the video display  30 . In alternate embodiments, other image display devices may be used in place of the video display  30 , such as holographic display units, printers, projectors, etc. In this example embodiment, the images taken by the imaging head  12  represent cross-sections with respect to the axis of the lumen in which the catheter  10  is traveling. In alternate embodiments, images captured by the imaging head  12  represent slices taken at angles other than cross-sections with respect to the axis. 
         [0021]    Since the lumen is twisting, bending and curving about inside the patient, the lumen axis is constantly changing orientation, and thus the orientation of the images is also constantly changing. Additionally, the catheter operator may elect to alter the orientation of the imaging head within the lumen, for example to take an image of a particular portion of the lumen at a different angle in order to gather additional data about the lumen. To provide an accurate determination of the position of the imaging head  12 , and thus provide an accurate map of the lumen, it is useful to determine the relative offset of each image from the image captured just previously. To conserve computing resources and time, it is possible to skip some of the images, and compute the relative offset of an image with some image other than the image captured just previously. This may result in a corresponding decrease in accuracy, but this may be acceptable depending on the particular situations the catheter  10  is being used in. 
         [0022]    To simplify the discussion and more clearly explain the method of an embodiment of the invention, the following disclosure of the process of image comparison and position determination will use the example image slices shown in  FIG. 2 . The series of intersecting planes  100   a - j  within the volume box  110  represent image slices taken of a volume image of some biological material, such as a segment of a blood vessel or other lumen within a patient. The intersecting planes  100   a - j  all meet at the line of intersection  105 , down the left side of  FIG. 2 . The intersecting planes  100   a - j  could be, for example, a series of images captured by the imaging head  12  as the catheter  10  was guided around a bend in the lumen, beginning with the plane  100   a  at the bottom of the volume box  110 , and progressing through the other planes  100   b - j  towards the top of the volume box  110 . 
         [0023]    Each plane  100   a - j  contains a slice of image data, such as an ultrasound image, or a light based image. The image data contained in each plane  100   a - j  changes, as the planes progress through the volume box  110 . For example, turning to  FIG. 3 , the volume box  110  contains a first shape  120  and a second shape  130 . Actual ultrasound or light based images would be more complex than the example presented here, but the same principles as disclosed apply to any sort of image data. This example has been simplified for clarity. The first shape  120  begins at the bottom of the volume box  110 , at plane  100   a , and continues up through each of the planes  100   b - j , ending in the space above the last plane  100   j . The second shape  130  is the same size and orientation as the first shape  120 , but in a different location in the volume box  110 . The second shape  130  begins at the intersection point with the plane  100   b , and extends upwards through each of the planes  100   c - f , ending in the space between plane  100   f  and plane  100   g . Planes  100   a  and  100   g - j  do not intersect the second shape  130 . 
         [0024]    The planes  100   a - j  intersect the shapes  120 ,  130 , capturing a slice of image data for each shape  120 ,  130  at the intersection. The resulting series of planes  100   a - j  containing the slices  120   a - j ,  130   a - e  of the shapes  120 ,  130  are shown in  FIG. 4 . Plane  100   a  contains a small slice  120   a  of the first shape  120 . Plane  100   b  contains a slightly larger slice  120   b  of the first shape  120 , and a small slice  130   a  of the second shape  130 . The slices  120   a - j  of the first shape  120  become progressively wider as the planes progress through the slices  120   a - j  of the first shape  120  from plane  100   a  to plane  100   j . The slices  130   a - e  of the second shape  130  become at first wider and then narrow back down and eventually cease, as the planes progress through the slices  130   a - e  of the second shape  130 . 
         [0025]    As can be seen in  FIG. 4 , there are differences in the image slices on the planes  100   a - j , as the planes progress through the shapes  120 ,  130 . However, these differences are more pronounced on the right side of each plane  100   a - j  (for slices  130   a - e  of shape  130 ), as compared with the differences on the left side of each plane  100   a - j  (for the slices  120   a - j  of the same sized shape  120 ). These differences occur because the separation distance between adjacent planes, such as planes  100   a - b , is greater at the right side than it is at the left side. Since the two planes  100   a - b  are further apart from each other on the right side, the correlation between the image slices  130   a - b  on the right side is correspondingly lower than the correlation between the image slices  120   a - b  in the same two planes  100   a - b  on the left side. 
         [0026]    In the example of  FIG. 4 , the differences are determined by making a high-level comparison of the appearance of the two objects  120 ,  130  on each plane being examined. For other types of data, other ways of determining the difference and the variation of the difference across the image are possible. For example, if the data represents the density of a particular point on the plane (such as an ultrasound image), then the difference is calculated by measuring the difference in density values for the same point on each of the two planes. If the data represents visual image data, then the difference may be calculated by measuring the difference in some value or property associated with the visual image data, such as the color, hue, saturation, reflectivity, or density of the image at the same point on each plane. 
         [0027]    In general, the correlation between any two of the planes  100   a - j  is greatest at the line of intersection  105  along the left side of each plane  100   a - j , where all of the planes contain exactly the same image data. Correlation between pairs of planes  100   a - j  is gradually lost as we progress across the planes  100   a - j  from left to right. We will use the term “correlation loss” or “loss of correlation” to describe the local difference between the images being compared, which may be computed by a variety of methods. The particular method of computing the difference between images is a design choice for those skilled in the art, and is not critical to the embodiments of the invention disclosed herein. In this example, for ease of explanation, the correlation loss was measured across the planes  100   a - j  from left to right. The correlation loss may be measured in any direction across the planes  100   a - j  without affecting the results of the methods discussed herein. 
         [0028]    An example considering images taken across two pairs of planes (all intersecting along a common line) demonstrating the behavior of image differences with increasing distance from the common intersecting line is shown in the graph in  FIG. 5 . T he horizontal axis  140  of the graph of  FIG. 5  measures the distance away from the intersection line  105 . The vertical axis  150  is a measure of the difference between the two planes  100   a - j  being compared. The lower data line  160  represents sample data gathered by comparing the image data on plane  100   a  with the image data on plane  100   b . The upper data line  170  represents sample data gathered by comparing the image data on plane  100   a  with the image data on plane  100   c . It is evident that the images in the pairs being considered start out being highly correlated (as evidenced by the small difference between them) and then gradually lose correlation (as evidenced by the difference becoming larger). The rate of correlation loss between planes  100   a  and  100   b  is less than the rate of correlation loss between planes  100   a  and  100   c . This is due to the fact that the angle between plane  100   a  and plane  100   b  is smaller than the angle between plane  100   a  and plane  100   c.    
         [0029]    Turning to  FIG. 6 , the difference between any two planes  100   a - j  can be approximated by an exponential function of the form f(x)=A(1−e −λx ). Here A represents the value ultimately attained by the function and λ is a parameter describing the rate at which the function increases as it attains the value A. The particular exponential function representing the behavior of the difference between any two planes  100   a - j  may be approximated using a best fit approximation method. The lower fitted exponential function  165  is an approximation for the lower data line  160 . The upper fitted exponential function  175  is an approximation for the upper data line  170 . 
         [0030]    Calculating the derivative of each fitted exponential function  165 ,  175  at the origin ( 0 , 0 ), yields the value Aλ for each fitted exponential function  165 ,  175 , which value is a good approximation of the angle of separation, in the direction of the correlation loss comparison, between the two planes  100   a - 100   j  being compared. Thus, the derivative of the lower fitted exponential function  165  at the origin is an approximation of the angle of separation between planes  100   a  and  100   b . Similarly, the derivative of the upper fitted exponential function  175  at the origin is an approximation of the angle of separation between planes  100   a  and  100   c.    
         [0031]      FIG. 7  shows a graph of the relationship between 1) the derivatives of a series of fitted exponential functions approximating sample correlation data comparing each of planes  100   b - j  with plane  100   a  and 2) the angle of separation θ between each of planes  100   b - j  and plane  100   a . For this sample data, the angle of separation θ between each pair of planes was already known. The horizontal axis represents the Aλ values which are approximated from the correlation comparisons discussed above. The vertical axis represents the known angle of separation θ. The series of data points  180   a - j  represent the relationship between the approximated Aλ values and the known angles of separation θ for each plane  100   a - j  as compared with the reference plane  100   a . Data point  180   a  represents the angle of separation between plane  100   a  and itself (i.e. zero), as related to the approximated Aλ value for the correlation comparison of reference plane  100   a  with itself (i.e. zero). Data point  180   b  represents the angle of separation between reference plane  100   a  and plane  100   b , as related to the approximated Aλ value for the correlation comparison of plane reference  100   a  with  100   b . Similarly, the data points  180   c - j  represent the angle of separation between the respective planes  100   c - j  and the reference plane  100   a , as related to the approximated Aλ value for the correlation comparisons of the respective planes  100   c - j  with the reference plane  100   a . In this example, the fitted line  185  demonstrates that the relationship between the Aλ values and the angles of separation θ is a linear relationship, and that the Aλ values are proportional to the angles of separation θ. Thus the proportionality constant can be computed by dividing the known angle of separation values by the Aλ values. Therefore, using the process just described the angle of separation between any two planes in any given direction can be estimated by analyzing the rate of loss of correlation between the two planes in that direction. 
         [0032]    Turning to  FIG. 8 , once the angle of separation θ between any plane  100   b - j  and the reference plane  100   a  is known, principles of geometry allow the relative position of the plane  100   b - j  with respect to the reference plane  100   a  to be calculated. For example, referring to plane  100   g , the plane  100   g  is defined by the two lines  105 ,  190 . Since both of these lines are calculatable with respect to the reference plane  100   a  using data gathered from the two images on the planes  100   a  and  100   g , the position of the plane  100   g  is calculatable with respect to the plane  100   a , using data gathered from the two images on the planes  100   a  and  100   g.    
         [0033]    Assume that the reference plane  100   a  is defined to begin at ( 0 , 0 , 0 ) in a three-dimensional polar coordinate system (ρ, θ, φ), with the reference plane  100   a  defined by the two intersecting lines ( 0 , 0 , 0 )-(ρ,  0 ,  0 ) and ( 0 , 0 , 0 )-(ρ,  0 , π/2), where p represents the width of the image on the reference plane  100   a , θ represents the angle of inclination above the reference plane  100   a , and φ represents the angle of counterclockwise rotation from the origin line ( 0 , 0 , 0 )-(ρ,  0 ,  0 ). The position of the plane  100   g  is defined by the position of the intersecting line  105 , represented in polar coordinates as ( 0 , 0 , 0 )-(ρ,  0 ,  0 ) and line  190 , represented in polar coordinates as ( 0 , 0 , 0 )-(ρ, θ,  0 ). The value for ρ is known from the dimensions of the reference plane  100   a , and the value for θ is calculated using the correlation comparison of the image data in the plane  100   g  as compared with the reference plane  100   a  as discussed above. Therefore, the position of the plane  100   g  is determined using the information known about the reference plane  100   a  and the information gathered from the image data correlation comparison 
         [0034]    Note that the example presented above limited the correlation comparison to planes  100   a - j  that only varied from each other in one direction, since all of the planes  100   a - j  shared the line of intersection  105 . This was done for ease of explanation of the principles of operation of the improved method of tracking a catheter using image data, but alternate embodiments of the method can easily calculate the position of other planes which have any arbitrary relationship to a reference plane  100   a . For example, turning to  FIG. 9 , a plane  100   k  varies from the reference plane  100   a  in two directions. There is an angle θ 1  between the reference plane  100   a  and the plane  100   k , where the two planes  100   a ,  100   k  intersect the (ρ,  0 ,  0 ) axis, and an angle θ 2  between the reference plane  100   a  and the plane  100   k , where the two planes  100   a ,  100   k  intersect the (ρ,  0 , π/2) axis. 
         [0035]    To determine the angle θ 1  between the reference plane  100   a  and the plane  100   k , the correlation loss rate in the direction ( 0 , 0 , 0 ) to (ρ,  0 ,  0 ) is computed and approximated to an exponential function as described above. To determine the angle θ 2  between the reference plane  100   a  and the plane  100   k , the correlation loss rate in the direction ( 0 , 0 , 0 ) to (ρ,  0 , π/2) is computed and approximated to an exponential function as described above. Note that while the correlation loss began at zero for the example of  FIGS. 1-8 , this will not always be the case for the example of  FIG. 9 . For any sampling line (such as the sampling lines  200 ,  210 ,  220 ,  230 ) across the plane  100   k  other than the sampling lines following the axes from ( 0 , 0 , 0 ) to (ρ,  0 ,  0 ) and from ( 0 , 0 , 0 ) to (ρ,  0 , π/2), the correlation loss function will begin with a non-zero value, indicating that there is already some loss of correlation when the comparison begins. This effect merely means that the graph for the exponential function for these sample lines  200 ,  210 ,  220 ,  230  is shifted to the left by an amount proportional to the initial value for loss of correlation; it has no impact on the computation of the angles of separation θ 1  or θ 2 . 
         [0036]    Similarly, the position of planes which are parallel to each other in either or both of the ( 0 , 0 , 0 ) to (ρ,  0 ,  0 ) and ( 0 , 0 , 0 ) to (ρ,  0 , π/2) directions can easily be computed using the methods discussed above. For any direction in which a plane is parallel to the reference plane  100   a , the rate of correlation loss will be zero, and thus the angle of separation will be zero. If the plane does not intersect the reference plane  100   a , then the initial value of the correlation loss function will be non-zero, but rate of correlation loss will remain at that non-zero value, thus indicating a parallel but non intersecting plane, in the direction of the correlation loss measurement. 
         [0037]    Thus, the position of any plane may be determined, relative to the position of any arbitrarily selected reference plane, whether the plane intersects the reference plane or not, whether the plane is parallel to the reference plane or not, by comparing the image data contained in the two planes, and computing the rate of correlation loss in each of two directions, or sometimes in one direction, if it is known that the two planes intersect. 
         [0038]    Expanding on the principles discussed above, once the position of a first plane is determined relative to a reference plane, then the position of a second plane relative to the first plane can be determined, by using the first plane as the reference plane and performing the position determination again. Thus an arbitrarily long chain of planes, positioned in three-dimensional space, may be constructed using the methods disclosed herein. Where these planes each contain image data gathered from a catheter, as the catheter travels through a lumen in a patient, this chain of planes represents a map of the lumen, in three dimensions. 
         [0039]    In the foregoing specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. For example, the planes may have any orientation with respect to each other, not merely the orientations described above. The data compared for correlation loss could be any data for which a relative position computation is desired, and not merely the spatial image data described above. For example, images gathered at different points in time could be compared to determine age-triggered correlation losses. Further, the reader is to understand that the specific ordering and combination of process actions described herein is merely illustrative, and the invention can be performed using different or additional process actions, or a different combination or ordering of process actions. Features and processes known to those of ordinary skill in the art of medical devices may similarly be incorporated as desired. Additionally, features may be added or subtracted as desired. The specification and drawings are, accordingly, to be regarded in an illustrative rather than restrictive sense, and the invention is not to be restricted or limited except in accordance with the following claims and their legal equivalents.

Technology Category: g