US20090060311A1 - Systems and methods for processing x-ray images - Google Patents

Abstract

A method includes obtaining a first image of an object, obtaining a second image of an object, determining a level of correlation between the first and second images, and using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.

Description

RELATED APPLICATION DATA
• This application is a continuation of U.S. patent application Ser. No. 11/593,950, filed on Nov. 6, 2006, which is a continuation of U.S. patent application Ser. No. 10/656,063, filed on Sep. 5, 2003, now U.S. Pat. No. 7,158,610, the disclosures of both of which are expressly incorporated by reference herein.
FIELD
• The field of the invention relates to methods and systems for processing images, and more particularly, to methods and systems for processing x-ray images.
BACKGROUND
• Radiation therapy involves medical procedures that selectively expose certain areas of a human body, such as cancerous tumors, to doses of radiation. The purpose of the radiation therapy is to irradiate the targeted biological tissue such that undesirable tissue is destroyed. Radiation has also been-used to obtain image of tissue for diagnostic or treatment purposes.
• In a radiation treatment session, the position and movement of a target tissue can be monitored by an imaging system, such as a fluoroscopic imaging system, while radiation is delivered to the target tissue. This ensures that the target tissue is in a desired position while the radiation is being delivered. However, often soft tissue targets such as a variety of tumors are not visible in x-ray fluoroscopic images. This is due to structures in front or behind the target tissue which are also visible in the x-ray images thus increasing the clutter to the level that the target tissue cannot be distinguished.
• Internal radio-opaque markers have been used to aid physicians in identifying a target tissue under fluoroscopic imaging. The radio-opaque markers can be injected or implanted at desired sites within a patient, and they shows up as high contrast features in fluoroscopic images. By observing the positions of the internal radio-opaque markers in fluoroscopic images, a physician can determine a position of a target tissue. However, implantation of markers is intrusive to the patient, and it may not be practical or feasible in all cases.
• Accordingly, systems and methods for visualization of internal tissue without use of internal markers would be useful.
SUMMARY
• In accordance with some embodiments, a method includes obtaining a first image of an object, obtaining a second image of an object, determining a level of correlation between the first and second images, and using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.
• In accordance with other embodiments, a computer product having a set of instructions, an execution of which causes a process to be performed, the processing includes obtaining a first image of an object, obtaining a second image of an object, determining a level of correlation between the first and second images, and using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.
• In accordance with other embodiments, a system includes a processor that is configured for obtaining a first image of an object, obtaining a second image of an object, determining a level of correlation between the first and second images, and using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.
• Other and further aspects and features will be evident from reading the following detailed description of the embodiments, which are intended to illustrate, not limit, the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
• The drawings illustrate the design and utility of preferred embodiments of the present invention, in which similar elements are referred to by common reference numerals. In order to better appreciate how advantages and objects of the present inventions are obtained, a more particular description of the present inventions briefly described above will be rendered by reference to specific embodiments thereof, which are illustrated in the accompanying drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered limiting its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
• FIG. 1 illustrates a fluoroscopic imaging system with which embodiments of the present invention may be implemented;
• FIG. 2 is a flowchart showing a process for targeting an object in accordance with an embodiment of the invention;
• FIG. 3 shows an algorithm for processing images in accordance with an embodiment of the invention;
• FIG. 4 shows examples of images generated during a treatment or diagnostic session performed in accordance with the process ofFIG. 2;
• FIG. 5 is a flowchart showing a process for generating templates that may be used in the process ofFIG. 2;
• FIG. 6 shows examples of images generated at different stages of the template generation process;
• FIG. 7 is a block diagram showing a system for processing images in accordance with an embodiment of the invention;
• FIG. 8 shows a motion signal chart and a gating signal chart;
• FIG. 9 shows a motion signal chart, a phase chart, and a gating signal chart;
• FIG. 10 is a flowchart showing a process for gating a medical procedure in accordance with an embodiment of the invention;
• FIG. 11 is a flowchart showing a process for monitoring a patient's position in accordance with an embodiment of the invention; and
• FIG. 12 is a diagram of a computer hardware system with which embodiments of the present invention can be implemented.
DESCRIPTION OF THE EMBODIMENTS
• Various embodiments of the present invention are described hereinafter with reference to the figures. It should be noted that the figures are not drawn to scale and that elements of similar structures or functions are represented by like reference numerals throughout the figures. It should also be noted that the figures are only intended to facilitate the description of specific embodiments of the invention. They are not intended as an exhaustive description of the invention or as a limitation on the scope of the invention. In addition, an illustrated embodiment needs not have all the aspects or advantages of the invention shown. An aspect or an advantage described in conjunction with a particular embodiment of the present invention is not necessarily limited to that embodiment and can be practiced in any other embodiments of the present invention even if not so illustrated.
• FIG. 1 illustrates afluoroscopic system10 with which embodiments of the present invention may be implemented. Thesystem10 includes afluoroscope12, aprocessor14, and awork station16 having adisplay18 and auser interface20, such as a keyboard and/or a mouse. Theprocessor14 may be an integral component of thework station16, or alternative, a separate component that is connected to thework station16. Thefluoroscope12 is illustrated as a C-arm fluoroscope in which anx-ray source22 is mounted on a structural member or C-arm24 opposite to an imaging assembly26, which is configured to receive and detect x-ray emitting from thex-ray source22. The C-arm24 is capable of moving about a patient for producing two dimensional projection images of the patient from different angles.
• During use of thefluoroscopic system10, apatient30 is positioned between thex-ray source22 and the imaging assembly26. Ax-ray beam32 is then directed towards atarget region34 within thepatient30, and is attenuated as it passes through thepatient30. The imaging assembly26 receives theattenuated x-ray beam32, and generates electrical signals in response thereto. The electrical signals are transmitted to theprocessor14, which is configured to generate images in thedisplay18 based on the electrical signals in accordance with an embodiment of the present invention. During a treatment session, anotherradiation source28 may be positioned adjacent thefluoroscopic system10 for deliveringtreatment radiation29 to thetarget region34. Similar imaging systems or other types of imaging systems may also be used to implement embodiments of the present invention.
• FIG. 2 is a block diagram illustrating an embodiment of aprocess200 for tracking a position of thetarget region34 of thepatient30 as thetarget region34 is being imaged using thefluoroscopic system10 ofFIG. 1.
• To track a position of thetarget region34 of thepatient30 undergoing a fluoroscopic imaging, a real-time input fluoroscopic image is generated using the fluoroscopic system10 (Step204). Thetarget region34 may include a tissue, such as a lung tissue or a heart tissue, that undergoes periodic physiological movements. Alternatively, thetarget region34 may also include tissue that does not undergoes periodic physiological movements, such as a bone tissue or prostate.
• Next, theprocessor14 processes the fluoroscopic image to enhance a feature, such as a moving feature of an object, in the fluoroscopic image (Step206). By enhancing a moving feature in the input fluoroscopic image, contrast of an image of a moving object is enhanced while contrast of an image of a relatively stationary object is reduced. In the illustrated embodiment, the enhancement of the moving feature may be performed based on image averaging and image subtraction techniques.
• In one embodiment, boxcar averaging technique may be used. Particularly, to obtain an enhanced input fluoroscopic image EIFI.sub.n for the nth input fluoroscopic image IFI.sub.n, a long term average of the previous input fluoroscopic images is calculated and subtracted from the nth input fluoroscopic image IFI.sub.n, (i.e., EIFI.sub.n=IFI.sub.n-Avg(IFI.sub.x=n−m to x=n−1, where m=length of boxcar). For example, the sixth input fluoroscopic image IRFI.sub.6 may be enhanced or modified by performing image averaging on the previous five input fluoroscopic images to obtain a composite image (i.e. an average image), and by subtracting the composite image from the sixth input fluoroscopic image RFI.sub.6. As used in this specification, the term “composite image” includes an array of data that may be stored in a medium, and therefore, is not limited to a displayed image.
• In an alternative embodiment, the image averaging may be performed based on a weighted average prescribed as a function over time. For example, if later input fluoroscopic images are to be accounted for more in the averaging, later input fluoroscopic images may be multiplied by a higher weighted factor during the image averaging, and vice versa.FIG. 3 shows a recursive algorithm for enhancing a moving feature of an object in an image, in which the current input fluoroscopic image is multiplied by a weighted factor (1-a) while the previous recursive average of the input fluoroscopic image(s) is multiplied by a weighted factor (a). The Z.sup.−1 represents a memory that holds one frame with one frame time delay. This results in an exponentially decreasing weighted average for the earlier samples. Other types of weighted averaging may also be used.
• It should be noted that the process of enhancing a feature in the fluoroscopic image is not limited to the examples described previously, and that other modified versions of the process may also be used. For example, in another embodiment, the boxcar averaging may be performed on certain previous input fluoroscopic images (e.g., the last three images), instead of on all of the previous input fluoroscopic images. In other embodiments, other functions or algorithms may be applied to any combination of the previous input fluoroscopic images and/or the current input fluoroscopic image before or after the image averaging is performed.
• Theprocessor14 next registers the enhanced input fluoroscopic image with a template (Step208). In the illustrated embodiment, a sequence of templates is provided, and each of the templates contains an image of at least a portion of thetarget region34 that is created at a certain time-point or a phase of a physiological cycle. Theprocessor14 selects a template from the sequence of templates that best matches an image of thetarget region34 in the enhanced input fluoroscopic image. The construction of the templates will be described later. As used in this specification, the term “phase” refers to a variable that represents, measures, or associates with, a degree of completion of a physiological cycle.
• In one embodiment, the input fluoroscopic image is compared with the templates, and the template that best matches with an image in the input fluoroscopic image is registered or cross correlated with the input fluoroscopic image. In this case, theprocessor14 performs an image comparison to determine which portion of the enhanced input fluoroscopic image best matches with each of the template images. Known techniques for performing image analysis, such as pattern matching, may be used. For example, if a template contains an image formed by 50.times.50 pixels, theprocessor14 may perform a spatial analysis to determine a region (having 50.times.50 pixels) within the enhanced input fluoroscopic image that best matches the template image. Theprocessor14 then computes values representative degrees of match between the templates and an image in the input fluoroscopic image, and selects the template associated with the highest value to be registered with the input fluoroscopic image. The position of the image within the input fluoroscopic image that best matches the registered template may be stored in a computer-readable medium for later use.
• In one embodiment, each cross correlation between the enhanced input image and a template results in a 2D correlation function with a correlation peak. In each correlation function, the location of the peak indicates the position of thetarget region34, and the value of the peak indicates a degree of match between the input fluoroscopic image and the template. The template that provides the highest peak value is then selected as the matching template, and the corresponding peak position in the correlation function is used to determine the position of thetarget region34.
• Examples of an algorithm that may be used to search for the template that best matches the input fluoroscopic image will now be described. However, it should be understood that the determination of the template that best matches the input fluoroscopic image may also be performed using other algorithms or techniques. In one embodiment, the input fluoroscopic image is compared with all of the templates to determine the matching template. In another embodiment, instead of comparing the input fluoroscopic image with all of the templates, the input fluoroscopic image is compared with only a subset of templates. In this case, the subset of templates are selected such that their corresponding phase values (or time points of a respiration cycle at which they are generated) are centered around, or proximate to, the phase of the template that had the best match with the last input fluoroscopic image (i.e., from the last tracking cycle). Such technique increases the efficiency for registering the input fluoroscopic image with the template because an input fluoroscopic image and a template that are collected at the same phase or time-point of a physiological cycle are likely to have similar image contrast. In another embodiment, if a match is found between the previous input fluoroscopic image and a template, and if the templates and the fluoroscopic images are generated at substantially the same phases or time-points of a physiological cycle, the next template in the sequence may be selected to determine if it matches with an image in the current input fluoroscopic image. If it is determined that the template does not match the input fluoroscopic image (i.e., the degree of match does not exceed a prescribed threshold), another template is then selected to determine if it matches with an image in the input fluoroscopic image. For example, the next template or the previous template in the sequence may be selected, until a match is found.
• Once the input fluoroscopic image is matched with the template, the position of thetarget region34 in the fluoroscopic image is determined (Step210). Particularly, the position of the image in the input fluoroscopic image that matches with the template is the position of thetarget region34. A marker may be displayed in thedisplay18 to indicate the position of the identifiedtarget region34 in the input fluoroscopic image. For example, a frame or an outline having a similar shape as that of the corresponding registered template may be displayed in the input fluoroscopic image. The phase associated with the input fluoroscopic image can be determined based on the phase of the matched template. Alternatively the phase associated with the input fluoroscopic image can be determined by a separate tracking mechanism, such as RPM external markers, available at Varian Medical System, Inc., Palo Alto, Calif.
• The next real-time input fluoroscopic image is generated and the previously described process is repeated until the end of the session is reached (Step212). The templates and the input fluoroscopic images may be generated at same or different time intervals. For example, the templates may be generated at a shorter time interval as compared to that for the input fluoroscopic images, thereby allowing more matching variations between different sets of the input fluoroscopic images and the templates.
• It should be noted that the steps described previously with reference to theprocess200 can be carried out in substantially real-time. That is, the input fluoroscopic images can be processed to determine a position of the target region immediately or shortly after they are generated instep204. Alternatively, the input fluoroscopic images can be generated in a batch, time-stamped, and stored for subsequent processing. In this case, the enhancingstep206, the registeringstep208, and the determiningstep210 can be performed subsequently.
• FIG. 4 shows examples of images generated at different stages of the dynamic targeting process described previously. An example of an inputfluoroscopic image400 created during a phase of a respiratory cycle, and its corresponding motion enhancedfluoroscopic image402 created using the technique described with reference to step206 are shown. As can be seen in the figure, by subtracting the average image from the current input fluoroscopic image, the moving object(s), i.e., thelung tissue404, is enhanced while the contrast of the relatively stationary object(s), i.e., thebone406, is reduced. FIG.4 also shows arectangular frame408 displayed in thefluoroscopic image402 identifying a region in thefluoroscopic image402 that matches with thetemplate410. Thetemplate410 is selected from agroup412 of available templates. Thegroup412 can include all of the generated templates, or alternatively, a subset of the generated templates, as discussed previously.
• The construction of the templates will now be described. Various methods may be used to generate the templates.FIG. 5 shows aprocess500 for generating the sequence of templates in accordance with an embodiment of the present invention. First, theradiation source22 of thefluoroscopic system10 is positioned and aimed towards an area of the body that includes thetarget region34, and a plurality of reference fluoroscopic images RFI is generated using the fluoroscopic system10 (Step502). The position and orientation of thex-ray source22 relative to the patient30 may be stored for later use. Particularly, the position and orientation of thex-ray source22 used during the template generation session may be used to set up thex-ray source22 for generating the input fluoroscopic images. As a result, the image in the input fluoroscopic image would be similar to that in the template, thereby allowing matching of the template with the input fluoroscopic image. If thetarget region34 includes a moving tissue, the plurality of reference fluoroscopic images is preferably collected over a physiological cycle, such as a respiratory cycle or a cardiac cycle, of the moving tissue. In one embodiment, 120 to 200 reference fluoroscopic images are collected over a period of 12 to 20 seconds in order to capture movements of thetarget region34 during a respiratory cycle. The collected reference fluoroscopic images are time-stamped and are then stored in digital format in a computer readable medium, such as a hard-drive, a CD-Rom, a diskette, or a server.
• Next, the reference fluoroscopic images are associated with phases or time-points of a physiological cycle (Step504). In one embodiment, the generated reference fluoroscopic images are time-stamped as they are generated inStep502. A patient position monitoring system, such as that available at Varian Medical System, Inc., Palo Alto, Calif., may be used to detect physiological motion of the patient, and generates motion data as the reference fluoroscopic images are generated. The reference fluoroscopic images are then associated with phases or time-points of a physiological cycle based on their corresponding stamped time and the motion data. For example, the reference fluoroscopic images can be synchronized with the motion data to a common time line. In another embodiment, the reference fluoroscopic images may also be registered in phase with three-dimensional computed tomography images generated during a planning session (described below).
• InStep506, images of thetarget region34 are identified in the respective reference fluoroscopic images. In one embodiment, the images of thetarget region34 may be determined manually by a user, such as a physician or a technician. In this case, the user examines each of the selected reference fluoroscopic images and identifies thetarget region34 in each of the selected reference fluoroscopic images. For each identifiedtarget region34 in the reference fluoroscopic images, the user may place a marker representative of the position of thetarget region34 in the corresponding reference fluoroscopic image. For example, the user may operate theuser interface20 and place a frame around a region of interest (ROI) containing thetarget region34 in the corresponding reference fluoroscopic image. Alternatively, the user may also draw an outline around a ROI having a shape that resembles thetarget region34 in the corresponding reference fluoroscopic image. In this case, the outline may represent a boundary of thetarget region34 to which treatment may be applied.
• In another embodiment, the image of thetarget region34 in the respective reference fluoroscopic images may be determined by projecting a three-dimensional (3D) treatment volume onto the respective reference fluoroscopic images. In this case, a number of 3D computed tomography (CT) images of the treatment volume are obtained such that they cover a period, such as a physiological cycle. The 3D CT images may be generated simultaneously with the sequence of the reference fluoroscopic images. Alternatively, the 3D CT images may be generated separately from the reference fluoroscopic images, in which case, the reference fluoroscopic images may subsequently be registered in phase with the 3D CT images. Conventional techniques may be employed to register the sequence of the reference fluoroscopic images with the CT images. PRM Respiratory Gating System, available at Varian Medical System, Inc., Palo Alto, Calif., may also be used to register the reference fluoroscopic images with the CT images.
• The 3D CT images are then examined to determine the position of thetarget region34 in the respective images. In one embodiment, the position of thetarget region34 in each of the respective CT images is projected onto the respective two-dimensional (2D) reference fluoroscopic image using known transformation techniques. Based on the projected positions of thetarget region34 in the respective reference fluoroscopic images, ROIs containing images of thetarget region34 can then be defined in the respective reference fluoroscopic images. For example, a rectangular frame circumscribing thetarget region34 may be used to define a ROI. Alternatively, an outline having a shape that resembles thetarget region34 may define a ROI.
• Next, the reference fluoroscopic images are processed to enhance a moving object in the images (Step508). The enhancement of a moving object may be performed using a similar technique described previously with reference to the input fluoroscopic images. In the illustrated embodiment, each of the reference fluoroscopic images in the sequence is modified based on image averaging and image subtraction techniques. Particularly, to obtain an enhanced reference fluoroscopic image ERFI.sub.n for the nth reference fluoroscopic image RFI.sub.n in the sequence, a long term average of the previous reference fluoroscopic images is calculated and subtracted from the nth reference fluoroscopic image RFI.sub.n, (i.e., ERFI.sub.n=RFI.sub.n-Avg(RFI.sub.x=1 to x=n−1). For example, the sixth reference fluoroscopic image RFI.sub.6 in the sequence is modified by performing image averaging on the previous five fluoroscopic images to obtain an average image, and by subtracting the average image from the sixth fluoroscopic image RFI.sub.6. In one embodiment, the image averaging may be performed based on boxcar or recursive techniques. In alternative embodiments, the image averaging may be performed based on a weighted average prescribed as a function over time, as described previously.
• Next, the images contained within the ROIs in the reference fluoroscopic images are stored as a sequence of templates (Step510). The templates may be stored in a computer readable medium, such as a hard-drive, a CD-Rom, a diskette, or a server.
• In the previously described embodiment, the motion enhancement is performed after the ROIs are determined in the reference fluoroscopic images. However, this needs not be the case. In an alternative embodiment, the order of the steps of enhancing a moving object and ROI determination can be different from theprocess500. Furthermore, in another embodiment, instead of generating reference fluoroscopic images, digitally reconstructed radiographs (DRR) are produced from each reference 3D CT image for the direction of fluoroscopic image that will be used in treatment. In this case, the target volume is projected in each DRR, and the DRRs are used as the reference fluoroscopic images in the same manner as the previous embodiment.
• It should be noted that the above-describedprocess500 for generating the sequence of templates may be performed in the same session (e.g., a treatment session) in which theprocess200 is being performed. Alternatively, the templates may be generated in another session that is carried out separately and prior to a treatment or diagnostic session.
• FIG. 6 shows examples of images generated at different stages of thetemplate generation process500 described previously. An example of a referencefluoroscopic image600 created during a phase of a respiratory cycle, and its corresponding motion enhancedfluoroscopic image602 created using the technique described with reference to step508 are shown. As can be seen in the figure, by subtracting the composite image of previously generated reference fluoroscopic images from the current reference fluoroscopic image, the moving object(s), i.e., thelung tissue604, is enhanced while the contrast of the stationary object(s), i.e., thebone606, is minimized. Furthermore,FIG. 6 shows aROI608 in thefluoroscopic image602 that has been selected as atemplate610. Note that the inputfluoroscopic image400 described previously with reference toFIG. 4 is similar to the referencefluoroscopic image600 because (1) theimages400 and600 are collected from substantially the same angle and position relative to thepatient30, and (2) the inputfluoroscopic image400 and the referencefluoroscopic image600 are collected at substantially the same time-point of a physiological cycle.
• FIG. 7 shows asystem700 for performing the above described processes. Thesystem700 includes atemplate generation module702 and animage matching module704, either or both of which may be implemented using theprocessor14 or a computer system. Thetemplate generation module702 includes aphase association module706, which associates thereference images708 with phases or time-points of a physiological cycle. Thetemplate generation module702 also includes aprojection module710 that projects a four dimensional treatment plan (3D treatment plan over time) onto the selectedreference images708, and amotion enhancement module712 for enhancing a feature in the selectedreference images708. In one embodiment, themotion enhancement module712 enhance a feature in the entire image for each of the selectedreference images708. In another embodiment, themotion enhancement module712 enhances a feature in only the projected overlay on the selectedreference images708. Also in another embodiment, themotion enhancement module712 is optional, in which case, thesystem700 does not include themotion enhancement module712.
• Theimage matching module704 includes amotion enhancement module720 for enhancing a feature in theinput images722 that are generated during a treatment or diagnostic session. Theimage matching module704 also includes a spatial andtemporal matching module724 for matching theinput images722 with the generatedtemplates714. Particularly, for each of theinput images722, the spatial andtemporal matching module724 selects atemplate714 that best matches an image in theinput image722, and generates anoutput726. Theoutput726 includes the position (X.sub.n, Y.sub.n) of the sub-image in theinput image722 that best matches the template T.sub.n, and an index n of the best-matching template T.sub.n. The index n may be used to determine the time-point or phase of a physiological cycle at which theinput image722 is generated.
• The previously described method allows a user determine a position of thetarget region34 during a session without the use of a radio-opaque marker, and may be implemented using existing imaging systems. The method may be used by a physician to perform a wide range of operations or procedures.
• Dynamic Targeting
• In one embodiment, the position of thetarget region34 obtained using the previously described process may be used as an input signal to control and aim aradiation treatment beam29 towards thetarget region34. In this case, theradiation treatment beam29 is continuously positioned to follow thetarget region34 based on the positions of thetarget region34 identified in the fluoroscopic images. For example, the aim point of a treatment radiation beam may be controlled by a moving collimator based on data regarding the position of thetarget region34 received from theprocessor14. Alternatively a treatment couch supporting a patient can be moved to control a position of thetarget region34 at which thebeam29 is directed.
• Physiological Gating
• In another embodiment, the above-described method may be used to detect a movement of thetarget region34, based on which a medical procedure may be gated. Several examples of applications towards physiological gating will now be described with reference to radiation therapy. However, it should be understood by those skilled in the art that similar techniques or methods may be used to control other types of treatments or diagnostic procedures.
• In one embodiment, theradiation source28 may be gated to be turned on or off based on the positions of thetarget region34 identified in the input fluoroscopic images. In this case, the position of the image within the input fluoroscopic image that is registered with the corresponding template may be used to determine if thetarget region34 has moved beyond a prescribed threshold position. If thetarget region34 remains within the prescribed threshold position, theradiation beam29 is turned on, and if thetarget region34 has moved beyond the threshold position, theradiation beam29 is then deactivated.
• FIG. 8 shows an example of amotion signal chart800 and agating signal chart802 that is aligned with themotion signal chart800. Themotion signal chart800 may be created by using position data of thetarget region34 obtained using the previously describedprocess200. A treatment interval804 may be defined by an upper bound806 and a lower bound808, as shown in themotion signal chart800. In the illustrated example, the upper bound806 has a value of 0.8 and the lower bound808 has a value of −0.8. As shown in thegating signal chart802, any position of thetarget region34 that falls outside the prescribed treatment interval804 results in a “beam off” gating signal810 that stops the application of radiation to thepatient30. Any position of thetarget region34 that falls within the prescribed treatment interval804 results in a “beam on” gating signal812 that allows radiation to be applied to thepatient30.
• In another embodiment, theradiation source28 may be gated to be turned on or off based on the phase of a physiological cycle. In this case, the position vs. time history of the image within the input fluoroscopic image that is registered with the corresponding template may be used to determine a phase of a physiological cycle. If thetarget region34 remains within a prescribed phase interval, theradiation beam29 is turned on, and if thetarget region34 has moved beyond the prescribed phase interval, theradiation beam29 is then deactivated.
• FIG. 9 shows an example of amotion signal chart900, acorresponding phase chart902 for thetarget region34, and agating signal chart904 that is aligned with thephase chart902. Themotion signal chart900 may be created by using position data of thetarget region34 obtained using the previously described method (i.e., at step210). Thephase chart902 may be created based on a beginning and an end of a physiological cycle in themotion signal chart900. Thephase chart902 shows the phase progression of a physiological movement of thetarget region34 over time. Aprescribed phase interval906 may be defined by an upper bound908 and a lower bound910, which are represented as dotted lines in thephase chart902. In the illustrated example, the upper bound908 has a value of 185.degree. and the lower bound910 has a value of 25.degree. According to the illustratedgating signal chart904, any position of thetarget region34 corresponding to a phase that falls outside theprescribed phase interval906 results in a “beam off” gating signal912 that stops the application of radiation to thepatient30. Any position of thetarget region34 corresponding to a phase that falls within theprescribed phase interval906 results in a “beam on” gating signal914 that allows radiation to be applied to thepatient30.
• In yet another embodiment, the radiation treatment beam may be gated to be turned on or off by associating the templates with treatment data. In one embodiment, certain templates may be associated with a “beam on” signal, while the rest of the templates are associated with a “beam off” signal. For example, templates generated within a prescribed treatment phase interval may be associated with a “beam on” signal, while templates generated outside the prescribed treatment phase interval may be associated with a “beam off” signal. In an alternative embodiment, in addition to the “beam off” and “beam on” signals, the treatment data may also include a “beam on duration” signal. In other embodiments, the templates may also be associated with treatment data that are commonly used in radiation therapy, such as beam shape data and radiation dosage data. During a radiation treatment session, real time input fluoroscopic images are obtained and are registered with the templates in accordance with the previously described method. When an input fluoroscopic image is registered with a template that contains a “beam on” signal, thetreatment radiation source28 then directs atreatment radiation beam29 towards thetarget region34 for a duration prescribed by the corresponding “beam on duration” signal. On the other hand, when an input fluoroscopic image is registered with a template that contains a “beam off” signal, thetreatment radiation source28 then holds off thetreatment beam29 and seizes directing radiation towards thetarget region34. If a template also contains a “beam shape” data, when an input fluoroscopic image is registered with such template, theprocessor14 then directs a signal to a beam-shaping (e.g., a multi-leaf) collimator to change the shape of thetreatment beam29 based on the “beam shape” data. In one embodiment, to ensure that a correct treatment is being delivered to thetarget region34, values may be computed to indicate a degree of correlation between the previously generated input fluoroscopic images and their corresponding registered templates. If the value indicates that there has been a high correlation in the temporal and/or spatial matching between the previously generated input fluoroscopic images and their corresponding registered templates, the registered template for the current input fluoroscopic image is likely to be correct, and treatment may be applied in accordance with the treatment data prescribed by the corresponding registered template.
• In yet another embodiment, radiation may be delivered to the patient during a desired portion of a physiological cycle. In radiation therapy, it may be desirable to apply theradiation beam29 towards thetarget region34 during a portion, such as a quiescent period, of a physiological cycle. For example, quiescent periods occur during the respiratory cycle at the ends of expiration and inspiration. In this case, the determined position of thetarget region34 can be used to detect quiescent periods of physiological cycles. During the quiescent periods, the motion of thetarget region34 slows down or may even cease for a fraction of a moment, thereby allowing a radiation treatment to be directed to thetarget region34.
• It should be noted that in the above described embodiments, the activation of a radiation beam may be gated in substantially real-time, or alternatively, in a predictive fashion. For example, based on a detected position of a target region and a degree of match between previous input fluoroscopic images and the templates, theprocessor14 can predictively activate a radiation source (an example of predictive gating) so as to compensate for delay of activation time inherent in some x-ray systems. Predictive gating has been described in U.S. patent application Ser. No. 09/893,122 referenced herein.
• FIG. 10 shows amethod1000 for gating a medical treatment based on a degree of detected motion of thetarget region34 in accordance with an embodiment of the present invention.
• To gate a medical treatment on thetarget region34 of the patient30 undergoing a fluoroscopic imaging, a real-time input fluoroscopic image is generated using thefluoroscopic system10 ofFIG. 1 (Step1004).
• Next, a ROI in the input fluoroscopic image is determined (Step1006). In one embodiment, the ROI includes at least a portion of thetarget region34, which can be a tissue targeted for treatment, or alternatively, any other tissue captured in the input fluoroscopic image. The ROI can be determined by a physician during a treatment or planning session. For example, the ROI may be defined by a frame circumscribing a portion of the input fluoroscopic image.
• Next, a composite image CI is created by subtracting the image in the ROI in the previous input fluoroscopic image from the image in the ROI in the current input fluoroscopic image (Step1008). For example, for the third input fluoroscopic image IFI.sub.3 generated in a sequence, a corresponding composite image CI.sub.3 is created by subtracting the image in the ROI in the previous input fluoroscopic image (i.e., the second fluoroscopic image IFI.sub.2) from the third input fluoroscopic image IFI.sub.3 (i.e., CI.sub.n=IFI.sub.n-IFI.sub.n−1). It should be understood that this step needs not be performed for the first input fluoroscopic image in the sequence since there is no previous input fluoroscopic image before the first input fluoroscopic image.
• A value associated with a contrast of the composite image is next calculated over the ROI (1010). In one embodiment, the variance of the pixels in the composite image, which is associated with a contrast of the composite image CI, may be calculated over the ROI, and may be used as a measure of the extent of motion undergone by the tissue within the ROI (e.g., the target region34). In other embodiments, different measures of the contrast in the composite image may be used.
• A beam gating signal is determined based on the calculated value (1012). Since an image of an object in the ROI having low contrast indicates that the object has not moved significantly over time, and vice versa, a radiation beam may be disabled when the calculated value (associated with the contrast of the composite image in the ROI) exceeds a certain threshold, and be enabled when the value is below the threshold. In one embodiment, if the calculated value m>T. A, then a radiation beam is disabled, and vice versa, where T is a prescribed threshold value, and A is a normalization factor for compensating for changes or daily variations in the operation of thefluoroscopic imaging system10. One possible value for A is A=|max m(t)−min m(t)| where max m(t) and min m(t) are derived from observing m over a recent physiological cycle, such as a respiratory cycle or a cardiac cycle.
• The next real-time input fluoroscopic image is generated and the previously described process is repeated until a sufficient radiation has been delivered to the target region34 (Step1014).
• Target Object Position Monitoring
• Besides dynamically targeting a moving object and gating a medical procedure, methods similar to that described previously may also be used to monitor or determine the position of a target object during a session. The target object may be a patient or an internal organ.
• In one embodiment, a position of theobject30 may be determined using a method that is similar to that discussed previously with reference toFIG. 2. In this case, instead of generating a sequence of templates, one template is generated using theprocess500 discussed previously. In this case, a portion of the reference fluoroscopic image containing the target object (i.e., object that is not expected to move beyond a certain prescribed threshold during a session) is selected as the template. During a treatment or diagnostic session, input fluoroscopic images of thetarget object30 are analyzed and compared with the template to determine the position of the object in the input fluoroscopic images. For example, theprocessor14 may perform image analysis to determine a portion in each of the input fluoroscopic images that best matches with the template. The position of the matched portion in each of the input fluoroscopic images represents the position of the object. By observing the determined positions of the object in the input fluoroscopic images, one can determine how much thetarget object30 has moved during a session. With respect to radiation therapy, if it is determined that theobject30 has moved beyond a certain prescribed threshold, theradiation beam29 may be deactivated.
• In certain situations, it may be desirable to determine that there is target object movement, and it may not be necessary to determine how much an object has moved.FIG. 11 shows amethod1100 for target object position monitoring (i.e., determining whether there is target object movement) in accordance with an embodiment of the present invention. First, theradiation source22 of thefluoroscopic system10 and the image detector is positioned and aimed towards thetarget object30, and a reference fluoroscopic image RFI is generated using the fluoroscopic system10 (Step1102).
• Next, a portion of the reference fluoroscopic image is selected as a ROI (Step1104). Particularly, the portion of the reference fluoroscopic image should contain an image of a target object, that is expected to be held relatively stationary during a treatment or diagnostic session. The position of the ROI in the reference fluoroscopic image may be stored in a computer-readable medium for later use.
• To perform target object position monitoring during a treatment or diagnostic session, a real-time input fluoroscopic image IFI.sub.n is generated using the fluoroscopic system10 (Step1106). In the illustrated embodiment, the reference fluoroscopic image and the input fluoroscopic image are generated in the same session with the patient30 staying in substantially the same position. Alternatively, the reference fluoroscopic image and the input fluoroscopic image may be generated in different sessions. In this case, thex-ray source22 and image detector are set up such that its position and orientation relative to the patient30 are substantially the same as those in which the reference fluoroscopic image was generated.
• InStep1108, the current input fluoroscopic image IFI.sub.n is subtracted from the reference fluoroscopic image RFI over the ROI to obtain a composite image CI.sub.n (i.e., CI.sub.n=IFI.sub.n-RFI). In other words, a portion of the input fluoroscopic image IFI.sub.n having the same position as the ROI in the reference fluoroscopic image RFI is selected and subtracted from the image in the ROI to obtain the composite image CI.sub.n. The composite image CI.sub.n is then analyzed to determine whether there has been target object movement (1110). If there has been target object movement, the pixels in the composite image CI.sub.n should have an increase in contrast. Thetarget object30 may be considered to have moved if the contrast increase is above a certain prescribed threshold. With respect to radiation therapy, theradiation beam29 may be deactivated when the contrast increase is above a prescribed threshold.
• The next real-time input fluoroscopic image is then generated and the previously described process is repeated until the end of the session is reached (Step1112).
• The above-described target object position monitoring and determination may be performed in conjunction with the dynamic targeting or gating of a medical procedure described previously. Alternatively, other techniques for monitoring or determining a target object position, such as those described in U.S. patent application Ser. No. 09/893,122, may also be used. The entire disclosure of the U.S. patent application Ser. No. 09/893,122 is expressly incorporated by reference herein.
• Computer System Architecture
• FIG. 12 is a block diagram that illustrates an embodiment of acomputer system1200 upon which an embodiment of the invention may be implemented.Computer system1200 includes abus1202 or other communication mechanism for communicating information, and aprocessor1204 coupled with thebus1202 for processing information. Theprocessor1204 may be an example of theprocessor14 ofFIG. 1. Thecomputer system1200 also includes amain memory1206, such as a random access memory (RAM) or other dynamic storage device, coupled to thebus1202 for storing information and instructions to be executed by theprocessor1204. Themain memory1206 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by theprocessor1204. Thecomputer system1200 further includes a read only memory (ROM)1208 or other static storage device coupled to thebus1202 for storing static information and instructions for theprocessor1204. Adata storage device1210, such as a magnetic disk or optical disk, is provided and coupled to thebus1202 for storing information and instructions.
• Thecomputer system1200 may be coupled via thebus1202 to adisplay1212, such as a cathode ray tube (CRT), for displaying information to a user. Aninput device1214, including alphanumeric and other keys, is coupled to thebus1202 for communicating information and command selections toprocessor1204. Another type of user input device iscursor control1216, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections toprocessor1204 and for controlling cursor movement ondisplay1212. This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the device to specify positions in a plane.
• The invention is related to the use ofcomputer system1200 for processing images. According to one embodiment of the invention, such use is provided bycomputer system1200 in response toprocessor1204 executing one or more sequences of one or more instructions contained in themain memory1206. Such instructions may be read into themain memory1206 from another computer-readable medium, such asstorage device1210. Execution of the sequences of instructions contained in themain memory1206 causes theprocessor1204 to perform the process steps described herein. One or more processors in a multi-processing arrangement may also be employed to execute the sequences of instructions contained in themain memory1206. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware circuitry and software.
• The term “computer-readable medium” as used herein refers to any medium that participates in providing instructions to theprocessor1204 for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media includes, for example, optical or magnetic disks, such as thestorage device1210. Volatile media includes dynamic memory, such as themain memory1206. Transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise thebus1202. Transmission media can also take the form of acoustic or light waves, such as those generated during radio wave and infrared data communications.
• Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, or any other magnetic medium, a CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave as described hereinafter, or any other medium from which a computer can read.
• Various forms of computer-readable media may be involved in carrying one or more sequences of one or more instructions to theprocessor1204 for execution. For example, the instructions may initially be carried on a magnetic disk of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to thecomputer system1200 can receive the data on the telephone line and use an infrared transmitter to convert the data to an infrared signal. An infrared detector coupled to thebus1202 can receive the data carried in the infrared signal and place the data on thebus1202. Thebus1202 carries the data to themain memory1206, from which theprocessor1204 retrieves and executes the instructions. The instructions received by themain memory1206 may optionally be stored on thestorage device1210 either before or after execution by theprocessor1204.
• Thecomputer system1200 also includes a communication interface1218 coupled to thebus1202. The communication interface1218 provides a two-way data communication coupling to anetwork link1220 that is connected to alocal network1222. For example, the communication interface1218 may be an integrated services digital network (ISDN) card or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, the communication interface1218 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, the communication interface1218 sends and receives electrical, electromagnetic or optical signals that carry data streams representing various types of information.
• Thenetwork link1220 typically provides data communication through one or more networks to other devices. For example, thenetwork link1220 may provide a connection throughlocal network1222 to ahost computer1224 or tomedical equipment1226 such as a radiation beam source or a switch operatively coupled to a radiation beam source. The data streams transported over thenetwork link1220 can comprise electrical, electromagnetic or optical signals. The signals through the various networks and the signals on thenetwork link1220 and through the communication interface1218, which carry data to and from thecomputer system1200, are exemplary forms of carrier waves transporting the information. Thecomputer system1200 can send messages and receive data, including program code, through the network(s), thenetwork link1220, and the communication interface1218.
• Although the embodiments of the systems and methods have been described with reference to fluoroscopic imaging, it should be understood that the systems and methods may also be implemented using other types of imaging. Depending on the type of imaging used, the previously described methods may be modified, and are intended to be within the scope of the present invention. For example, if the type of imaging technique used is such that it can generate images of a target region with sufficient contrast or desired features, then the step (i.e.,step206 and508) of enhancing a moving object in an image may not be necessary. Particularly, in other embodiments, if the contrasts or features of an image in the templates and the input images are such that they allow registration between the templates and the input images, then themethods200 and500 may not includestep206 and508, respectively.
• Although the methods have been described with reference to radiation treatment, it should be understood that the same or similar methods may also be used to perform other types of medical procedures. For example, the gating methods described with reference to,FIGS. 8-10 may be used in various diagnostic imaging procedures as well as image-guided surgery in which movement of surgical instruments are controlled by the position of the target object. In addition, besides real-time and predictive gating described previously, the above-described methods may also have applications in retrospective gating. In this case, the input fluoroscopic images or the processed input fluoroscopic images can be time-stamped and stored for future processing. For example, in three-dimensional imaging applications such as computed tomography, PET, and MRI, physiological data (e.g., position of target region or patient) obtained from the processed input fluoroscopic images can be used to retrospectively “gate” a reconstruction process. For this purpose, the raw data associated with the imaging application is synchronized to a common time base with the physiological motion data. Segments of the raw data that correspond to movement cycle intervals of interest are used to reconstruct the volumetric image thus minimizing the distortion and size-changes caused by-patient motion.
• Furthermore, themethod200 is not limited to determining a position of a portion of a patient or animal body. Themethod200 may also be used to determine a position of a non-animal body or other objects in a medical or non-medical environment.
• Although particular embodiments of the present inventions have been shown and described, it will be understood that it is not intended to limit the present inventions to the preferred embodiments, and it will be obvious to those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the present inventions. For example, the operations performed by theprocessor14 can be performed by any combination of hardware and software within the scope of the invention, and should not be limited to particular embodiments comprising a particular definition of “processor”. The specification and drawings are, accordingly, to be regarded in an illustrative rather than restrictive sense. The present inventions are intended to cover alternatives, modifications, and equivalents, which may be included within the spirit and scope of the present inventions as defined by the claims.

Claims (24)

1. A method, comprising:

obtaining a first image of an object;

obtaining a second image of an object;

determining a level of correlation between the first and second images; and

using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.

2. The method ofclaim 1, wherein the information regarding the motion of the object comprises a position of the object.

3. The method ofclaim 1, wherein the information regarding the motion of the object comprises an amount of movement by the object.

4. The method ofclaim 1, wherein the information regarding the motion of, the object comprises a phase of a respiratory cycle.

5. The method ofclaim 1, wherein the first and second images are obtained using radiation.

6. The method ofclaim 1, wherein the first image is a subset of a larger image.

7. The method ofclaim 1, wherein the first image functions as a template.

8. The method ofclaim 1, wherein the second image is an image that is from a sequence of images.

9. A computer product having a set of instructions, an execution of which causes a process to be performed, the processing comprising:

obtaining a first image of an object;

obtaining a second image of an object;

determining a level of correlation between the first and second images; and

using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.

10. The computer product ofclaim 9, wherein the information regarding the motion of the object comprises a position of the object.

11. The computer product ofclaim 9, wherein the information regarding the motion of the object comprises an amount of movement by the object.

12. The computer product ofclaim 9, wherein the information regarding the motion of the object comprises a phase of a respiratory cycle.

13. The computer product ofclaim 9, wherein the first and second images are obtained using radiation.

14. The computer product ofclaim 9, wherein the first image is a subset of a larger image.

15. The computer product ofclaim 9, wherein the first image functions as a template.

16. The computer product ofclaim 9, wherein the second image is an image that is from a sequence of images.

17. A system comprising a processor that is configured for:

obtaining a first image of an object;

obtaining a second image of an object;

determining a level of correlation between the first and second images; and

using the determined level of correlation between the first and second images to obtain information regarding a motion of the object.

18. The system ofclaim 17, wherein the information regarding the motion of the object comprises a position of the object.

19. The system ofclaim 17, wherein the information regarding the motion of the object comprises an amount of movement by the object.

20. The system ofclaim 17, wherein the information regarding the motion of the object comprises a phase of a respiratory cycle.

21. The system ofclaim 17, wherein the first and second images are obtained using radiation.

22. The system ofclaim 17, wherein the first image is a subset of a larger image.

23. The system ofclaim 17, wherein the first image functions as a template.

24. The system ofclaim 17, wherein the second image is an image that is from a sequence of images.

Images