System and methods for image analysis and treatment

• US 20090003666A1
• Filed: 06/27/2007
• Published: 01/01/2009
• Est. Priority Date: 06/27/2007
• Status: Abandoned Application

• Current Assignee: The Board of Regents of the University of Colorado (University of Colorado System)
• Original Assignee: The Board of Regents of the University of Colorado (University of Colorado System)
• Inventors: Wu, Dee H.
• Application Number:
  US11/823,176
• Publication Number:
  US 20090003666A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2207/10096 Dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]
• CPC Class Codes: G06T 2207/20021 Dividing image into blocks, subimages or windows
• CPC Class Codes: G06T 2207/30096 Tumor; Lesion
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

An image analysis system comprising a computer apparatus programmed to access at least one image of tissue within a living organism and to register a plurality of segments of a region of interest of the tissue, the plurality of segments divided relative to a biological landmark of the living organism and/or each of the plurality of segments positionally referenced to the biological landmark, the computer apparatus further programmed to analyze at least one parameter for at least one of the plurality of segments. In another embodiment, the image analysis system further comprises an image recording apparatus for capturing the at least one image. In yet another embodiment, the image analysis system further comprises a treatment apparatus for delivering at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the position of the at least one segment relative to the biological landmark, in relation to the at least one parameter, or in relation to a combination of the two. In addition, methods of operating the image analysis system are provided, as well as methods of delineating a region of interest in an image, analyzing at least one image, and treating a region of interest.

Claims

1. An image analysis system comprising:

a computer apparatus programmed to access at least one image of tissue within a living organism and to register a plurality of segments of a region of interest of the tissue, the plurality of segments divided relative to a biological landmark of the living organism and each of the plurality of segments positionally referenced to the biological landmark, the computer apparatus further programmed to analyze at least one parameter for at least one of the plurality of segments.

2. The image analysis system of claim 1, wherein the at least one image comprises a plurality of images.

3. The image analysis system of claim 2, wherein the plurality of images are taken at known time points.

4. The image analysis system of claim 1, wherein at least one of the plurality of segments is wedge-shaped.

5. The image analysis system of claim 1, wherein at least a portion of the plurality of segments are arranged about at least one centroid of the region of interest.

6. The image analysis system of claim 5, wherein at least one of the plurality of segments is radially-defined about the at least one centroid.

7. The image analysis system of claim 1, wherein the at least one parameter is selected from the group consisting of:

k₁₂, k₂₁, amplitude, relative signal intensity, and pharmacokinetic parameters.

8. The image analysis system of claim 1, wherein the at least one image includes a plurality of pixels.

9. The image analysis system of claim 8, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by analyzing the at least one parameter for each of the pixels in the at least one segment and aggregating the at least one parameter for at least a portion of the pixels in the at least one segment.

10. The image analysis system of claim 9, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by aggregating at least a portion of the pixels in the at least one segment and analyzing the at least one parameter for the aggregated pixels.

11. The image analysis system of claim 1, wherein the at least one image is a three-dimensional image including a plurality of voxels.

12. The image analysis system of claim 11, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by analyzing the at least one parameter for each of the voxels in the at least one segment and aggregating the at least one parameter for at least a portion of the voxels in the at least one segment.

13. The image analysis system of claim 11, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by aggregating at least a portion of the voxels in the at least one segment and analyzing the at least one parameter for the aggregated voxels.

14. The image analysis system of claim 1, further comprising an image recording apparatus for capturing the at least one image.

15. The image analysis system of claim 14, wherein the at least one image includes a plurality of pixels.

16. The image analysis system of claim 15, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by analyzing the at least one parameter for each of the pixels in the at least one segment and aggregating the at least one parameter for at least a portion of the pixels in the at least one segment.

17. The image analysis system of claim 16, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by aggregating at least a portion of the pixels in the at least one segment and analyzing the at least one parameter for the aggregated pixels.

18. The image analysis system of claim 14, wherein the at least one image is a three-dimensional image including a plurality of voxels.

19. The image analysis system of claim 18, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by analyzing the at least one parameter for each of the voxels in the at least one segment and aggregating the at least one parameter for at least a portion of the voxels in the at least one segment.

20. The image analysis system of claim 18, wherein the computer apparatus analyzes the at least one parameter for the at least one segment by aggregating at least a portion of the voxels in the at least one segment and analyzing the at least one parameter for the aggregated voxels.

21. The image analysis system of claim 14, wherein the image recording apparatus is selected from the group consisting of:

a magnetic resonance imaging device, an x-ray device, a nuclear imaging device, a computed tomographic imaging device, an ultrasonic imaging device, an MRI spectroscopy device, a positron emission tomographic imaging device, and a hybrid device.

22. The image analysis system of claim 1, further comprising:

a treatment apparatus for delivering at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the position of the at least one segment relative to the biological landmark.

23. The image analysis system of claim 22, wherein the type of therapy is selected from the group consisting of:

radiation therapy, chemotherapy, drug therapy, surgical therapy, nuclear therapy, brachytherapy, heat therapy, laser therapy, and ultrasonic therapy.

24. The image analysis system of claim 23, wherein the treatment apparatus delivers the at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the at least one parameter.

25. The image analysis system of claim 22, further comprising an image recording apparatus for capturing the at least one image.

26. The image analysis system of claim 25, wherein the image recording apparatus is selected from the group consisting of:

a magnetic resonance imaging device, an x-ray device, a nuclear imaging device, a computed tomographic imaging device, an ultrasonic imaging device, an MRI spectroscopy device, a positron emission tomographic imaging device, and a hybrid device.

27. The image analysis system of claim 1, further comprising:

a treatment apparatus for delivering at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the at least one parameter.

28. The image analysis system of claim 27, wherein the type of therapy is selected from the group consisting of:

radiation therapy, chemotherapy, drug therapy, surgical therapy, nuclear therapy, brachytherapy, heat therapy, laser therapy, and ultrasonic therapy.

29. The image analysis system of claim 27, further comprising an image recording apparatus for capturing the at least one image.

30. The image analysis system of claim 29, wherein the image recording apparatus is selected from the group consisting of:

a magnetic resonance imaging device, an x-ray device, a nuclear imaging device, a computed tomographic imaging device, an ultrasonic imaging device, an MRI spectroscopy device, a positron emission tomographic imaging device, and a hybrid device.

31. A method of analyzing at least one image, the method comprising the steps of:

accessing at least one image of tissue within a living organism;

identifying a region of interest of the tissue;

dividing the region of interest into a plurality of segments relative to a biological landmark of the living organism;

positionally referencing each of the plurality of segments to the biological landmark; and

,

analyzing at least one parameter for at least one of the plurality of segments.

32. A method of treating a living organism, comprising the steps of:

accessing at least one image of tissue within a living organism;

identifying a region of interest of the tissue;

dividing the region of interest into a plurality of segments;

positionally referencing each of the plurality of segments to a biological landmark of the living organism;

delivering at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the position of the at least one segment relative to the biological landmark.

33. The method of claim 32, wherein the region of interest is divided into the plurality of segments relative to the biological landmark.

34. The method of claim 32, further comprising the step of analyzing at least one parameter for at least one of the plurality of segments.

35. The method of claim 34, wherein the at least one type of therapy is delivered to the at least one segment in relation to the at least one parameter.

36. The method of claim 32, wherein the type of therapy is selected from the group consisting of:

radiation therapy, chemotherapy, drug therapy, surgical therapy, nuclear therapy, brachytherapy, heat therapy, laser therapy, and ultrasonic therapy.

37. A method of treating a living organism, comprising the steps of:

accessing at least one image of tissue within a living organism;

identifying a region of interest of the tissue;

dividing the region of interest into a plurality of segments relative to a biological landmark of the living organism;

positionally referencing each of the plurality of segments to the biological landmark;

analyzing at least one parameter for at least one of the plurality of segments; and

,

delivering at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the at least one parameter.

38. The method of claim 37, wherein the type of therapy is selected from the group consisting of:

radiation therapy, chemotherapy, drug therapy, surgical therapy, nuclear therapy, brachytherapy, heat therapy, laser therapy, and ultrasonic therapy.

39. A method of operating an image analysis system including a computer apparatus, the method comprising:

operating the computer system to access at least one image of tissue within a living organism and to register a plurality of segments of a region of interest of the tissue, the plurality of segments divided relative to a biological landmark of the living organism and each of the plurality of segments positionally referenced to the biological landmark; and

,

operating the computer apparatus to analyze at least one parameter for at least one of the plurality of segments.

40. The method of claim 39, wherein the image analysis system further includes an image recording apparatus, the method further comprising the step of operating the image recording apparatus to capture the at least one image prior to operating the computer apparatus to access the at least one image.

41. A method of operating an image analysis system including a computer apparatus and a treatment apparatus, the method comprising the steps of:

operating the computer apparatus to access at least one image of tissue within a living organism and to register a plurality of segments of a region of interest of the tissue, each of the plurality of segments positionally referenced to a biological landmark of the living organism;

operating the computer apparatus to analyze at least one parameter for at least one of the plurality of segments; and

,

operating the treatment apparatus to deliver at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the position of the at least one segment relative to the biological landmark.

42. The method of claim 41, wherein the plurality of segments is divided relative to the biological landmark.

43. The method of claim 41, further comprising the step of operating the computer to analyze at least one parameter for at least one of the plurality of segments.

44. The method of claim 43, wherein the at least one type of therapy is delivered to the at least one segment in relation to the at least one parameter.

45. The method of claim 44, wherein The image analysis system further includes an image recording apparatus, the method further comprising the step of operating the image recording apparatus to capture the at least one image prior to operating the computer apparatus to access the at least one image.

46. A method of operating an image analysis system having a computer apparatus and a treatment apparatus, the method comprising the steps of:

operating the computer apparatus to access at least one image of tissue within a living organism and to register a plurality of segments of a region of interest of the tissue, the plurality of segments divided relative to a biological landmark of the living organism, each of the plurality of segments positionally referenced to the biological landmark;

operating the computer apparatus to analyze at least one parameter for at least one of the plurality of segments; and

,

operating the treatment apparatus to deliver at least one type of therapy to at least a portion of at least one of the plurality of segments in relation to the at least one parameter.

47. The method of claim 46, wherein The image analysis system further includes an image recording apparatus and, the method further comprises the step of operating the image recording apparatus to capture the at least one image prior to operating the computer apparatus to access the at least one image.

48. A method of identifying a region of interest in an image, comprising the steps of:

accessing at least one image of tissue within a living organism;

identifying an initial boundary of a region of interest of the tissue;

analyzing at least one parameter for the tissue within the initial boundary;

performing an analysis of the initial boundary, comprising the steps of;

adjusting the initial boundary to identify an adjusted boundary;

calculating a region difference indicative of the change between the initial boundary and the adjusted boundary;

analyzing the at least one parameter for the tissue within the adjusted boundary;

analyzing a parameter difference indicative of the change between the at least one parameter for the initial boundary and the at least one parameter for the adjusted boundary;

comparing the parameter difference to a reference;

repeating the step of performing an analysis of the initial boundary, responsive to a negative comparison;

replacing the initial boundary with the adjusted boundary, responsive to a positive comparison.