MEDICAL IMAGE ANALYSIS SYSTEM FOR ANATOMICAL IMAGES SUBJECT TO DEFORMATION AND RELATED METHODS

• US 20110081061A1
• Filed: 10/02/2009
• Published: 04/07/2011
• Est. Priority Date: 10/02/2009
• Status: Abandoned Application

• Current Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Jackson, Jeremy D., Burrell, Lauren S., Culp, Timothy R., Bell, David M.
• Application Number:
  US12/572,571
• Publication Number:
  US 20110081061A1
• Time in Patent Office: Days
• US Class Current: 382/130
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/20076 Probabilistic image processing
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/35 using statistical methods
• CPC Class Codes: G06T 7/38 Registration of image sequences

Abstract

A medical image analysis system is for first and second anatomical image data of a same body area and subject to deformation. The first and second anatomical image data includes respective first and second sets of voxels. The medical image analysis system includes a processor cooperating with a memory to generate a respective reach array for each voxel of the second anatomical image data, with each reach array being a subset of contiguous voxels. The processor also generates a cost array for each reach array, with each cost array based upon probabilities of voxels of the reach array matching voxels of the first anatomical image data. The processor may also solve each cost array using belief propagation to thereby generate a deformation vector array between the first and second anatomical image data.

Claims

1. A medical image analysis system for first and second anatomical image data of a same body area and subject to deformation, the first and second anatomical image data comprising respective first and second sets of voxels, the medical image analysis system comprising:

a memory; and

a processor cooperating with said memory and configured to

generate a respective reach array for each voxel of the second anatomical image data, each reach array comprising a subset of contiguous voxels,

generate a cost array for each reach array, each cost array based upon probabilities of voxels of the reach array matching voxels of the first anatomical image data, and

solve each cost array using belief propagation to thereby generate a deformation vector array between the first and second anatomical image data.

2. The medical image analysis system of claim 1 wherein said processor is also configured to register the first and second anatomical image data based upon the deformation vector array to thereby generate composite anatomical image data.

3. The medical image analysis system of claim 2 wherein said processor is also configured to determine changes between the first and second anatomical image data as part of the composite anatomical image data.

4. The medical image analysis system of claim 3 further comprising a display coupled to said processor;

and wherein said processor is also configured to generate a composite image on said display based upon the composite anatomical image data.

5. The medical image analysis system of claim 1 wherein the first anatomical image data includes a target treatment area therein;

and wherein said processor is further configured to map the target treatment area into the second anatomical image data based upon the deformation vector array.

6. The medical image analysis system of claim 1 wherein the first and second anatomical image data have different resolutions;

and wherein said processor is further configured to resample at least one of the first and second anatomical image data to a common resolution.

7. The medical image analysis system of claim 1 wherein an initial reach array is a fixed reach array and each subsequent reach array is a variable reach array.

8. The medical image analysis system of claim 1 wherein each reach array is a three-dimensional array of three-dimensional array descriptors.

9. The medical image analysis system of claim 1 wherein each cost array is a three-dimensional array of three-dimensional sub-arrays of scalar cost values.

10. The medical image analysis system of claim 1 said processor is further configured to solve each cost array by at least:

generating N belief messages for each cost message, each belief message being based upon another cost message and N-1 belief messages associated therewith;

adding each cost message with the N belief messages associated therewith to generate a cost-belief sum; and

forming a vector of the deformation array based upon a smallest cost-belief sum of each cost array.

11. A medical image analysis system for first and second anatomical image data of a same body area and subject to deformation, the first and second anatomical image data having different resolutions and comprising respective first and second sets of voxels, the medical image analysis system comprising:

a memory; and

a processor cooperating with said memory and configured to

resample at least one of the first and second anatomical image data to a common resolution,

generate a respective reach array for each voxel of the second anatomical image data, each reach array comprising a subset of contiguous voxels,

generate a cost array for each reach array, each cost array based upon probabilities of voxels of the reach array matching voxels of the first anatomical image data,

solve each cost array using belief propagation to thereby generate a deformation vector array between the first and second anatomical image data, and

register the first and second anatomical image data based upon the deformation vector array to thereby generate composite anatomical image data.

12. The medical image analysis system of claim 11 wherein said processor is also configured to determine changes between the first and second anatomical image data as part of the composite anatomical image data.

13. The medical image analysis system of claim 12 further comprising a display coupled to said processor;

and wherein said processor is also configured to generate a composite image on said display based upon the composite anatomical image data.

14. The medical image analysis system of claim 11 wherein the first anatomical image data includes a target treatment area therein;

and wherein said processor is further configured to map the target treatment area into the second anatomical image data based upon the deformation vector array.

15. An image analysis system for first and second image data of a same area and subject to deformation, the first and second image data comprising respective first and second sets of voxels, the image analysis system comprising:

a memory; and

a processor cooperating with said memory and configured to

generate a respective reach array for each voxel of the second image data, each reach array comprising a subset of contiguous voxels,

generate a cost array for each reach array, each cost array based upon probabilities of voxels of the reach array matching voxels of the first a image data, and

solve each cost array using belief propagation to thereby generate a deformation vector array between the first and second image data.

16. The image analysis system of claim 15 further comprising a display coupled to said processor;

wherein said processor is also configured to determine changes between the first and second image data as part of the composite image data; and

wherein said processor is also configured to generate a composite image on said display based upon the composite image data.

17. The image analysis system of claim 15 wherein the first image data includes a target treatment area therein;

and wherein said processor is further configured to map the target treatment area into the second image data based upon the deformation vector array.

18. A method of operating a medical image analysis system for first and second anatomical image data of a same body area and subject to deformation, the first and second anatomical image data comprising respective first and second sets of voxels, the method comprising:

generating a respective reach array for each voxel of the second anatomical image data, each reach array comprising a subset of contiguous voxels, using a processor;

generating a cost array for each reach array, each cost array based upon probabilities of voxels of the reach array matching voxels of the first anatomical image data, using the processor; and

solving each cost array using belief propagation to thereby generate a deformation vector array between the first and second anatomical image data, using the processor.

19. The method of claim 18 further comprising registering the first and second anatomical image data based upon the deformation vector array to thereby generate composite anatomical image data, using the processor.

20. The method of claim 19 further comprising determining changes between the first and second anatomical image data as part of the composite anatomical image data, using the processor.

21. The method of claim 20 further comprising generating a composite image on a display based upon the composite anatomical image data, using the processor.

22. The method of claim 18 wherein the first anatomical image data includes a target treatment area therein;

and further comprising mapping the target treatment area into the second anatomical image data based upon the deformation vector array, using the processor.

23. The method of claim 18 wherein the first and second anatomical image data have different resolutions;

and further comprising resampling at least one of the first and second anatomical image data to a common resolution.

24. The method of claim 18 wherein an initial reach array is a fixed reach array and each subsequent reach array is a variable reach array.