Assessing tumor response to therapy

Patent metadata

Field	Value
Publication number	US-8965071-B2
Application number	US-13053008-A
Country	US
Kind code	B2
Filing date	May 30, 2008
Priority date	May 30, 2008
Publication date	Feb 24, 2015
Grant date	Feb 24, 2015

Abstract

Systems, methods and computer program products identify first biologic data in a region of interest in a first image and calculate a first biologic volume histogram from the first biologic data. Second biologic data in the same region of interest is identified in a second image and a second biologic volume histogram is calculated from the second biologic data. A difference in intensity for the region of interest is determined using the first biologic volume histogram and the second biologic volume histogram.

First claim

That which is claimed:

1. A computer system comprising:
at least one processor; and
memory, wherein said computer system is configured for:
receiving a first image of a region of interest, said first image having been taken at a first time, and said region of interest being associated with a particular anatomical structure, where a boundary defines said region of interest in said first image;
dividing said region of interest into a plurality of volumetric sub-regions of interest, said plurality of volumetric sub-regions of interest defined by radial spokes emanating from a center of mass of said region of interest and said boundary of said region of interest;
receiving a second image of said region of interest, said second image having been taken at a second time;
registering said first image with said second image to create a new, third image in which said region of interest in said third image at least approximates a size and shape of said region of interest in said first image, but in which said region of interest in said third image has been repositioned with respect to said region of interest in said first image to reflect a change in orientation of said anatomical structure between said first image and said second image, where registering said first image with said second image comprises:
identifying at least a particular one of said plurality of volumetric sub-regions of interest within said region of interest in said first image;
identifying said particular one volumetric sub-region of interest within said region of interest in said second image; and
mapping said particular one volumetric sub-region of interest in said first image to said particular one volumetric sub-region of interest in said second image; and

using said second and third images to assess a change in said region of interest between said first time and said second time.

2. The computer system of claim 1 , wherein:
said particular one volumetric sub-region of interest is a first volumetric sub-region of interest; and
said registering of said first image with said second image comprises:
identifying a second volumetric sub-region of interest within said region of interest in said first image;
identifying said second volumetric sub-region of interest within said region of interest in said second image; and
mapping said second volumetric sub-region of interest in said first image to said second volumetric sub-region of interest in said second image.

3. The computer system of claim 2 , wherein said registering of said first image with said second image comprises:
identifying a plurality of at least three volumetric sub-regions of interest within said region of interest in said first image, said plurality of volumetric sub-regions of interest including said first volumetric sub-region of interest, said second volumetric sub-region of interest, and at least a third volumetric sub-region of interest;
identifying each of said plurality of at least three volumetric sub-regions of interest within said region of interest in said second image; and
mapping each of said plurality of at least three volumetric sub-regions of interest in said first image to corresponding ones of said plurality of at least three sub-regions of interest in said second image.

4. The computer system of claim 3 , wherein each of said plurality of at least three volumetric sub-regions of interest in said first image is a pie shaped section within said region of interest in said first image.

5. The computer system of claim 4 , wherein said plurality of at least three volumetric sub-regions of interest define at least a portion of a surface of said region of interest.

6. The computer system of claim 5 , wherein said plurality of at least three volumetric sub-regions of interest substantially define an entire outer surface of said region of interest.

7. The computer system of claim 5 , wherein said computer system is configured for tracking said plurality of at least three volumetric sub-regions of interest from said first image to said third image to track changes in a shape of said region of interest.

8. The computer system of claim 1 , wherein said region of interest comprises a tumor.

9. The computer system of claim 1 , wherein:
said first time is a time before a patient associated with said region of interest receives a particular treatment designed to affect said region of interest; and
said second time is a time after said patient receives said particular treatment.

10. The computer system of claim 1 , wherein said using said second and third images to assess a change in said region of interest between said first time and said second time comprises using said second and third images to assess a change in metabolic activity within said particular one volumetric sub-region of interest between said first time and said second time.

11. The computer system of claim 1 , wherein said using said second and third images to assess a change in said region of interest between said first time and said second time comprises using said second and third images to assess a change in volume of said particular one volumetric sub-region of interest between said first time and said second time.

12. The computer system of claim 11 , wherein said computer system is configured for tracking said plurality of volumetric sub-regions of interest from said first image to said third image to track changes in a volume of said region of interest.

13. The computer system of claim 12 , wherein said region of interest comprises a tumor.

14. The computer system of claim 1 , wherein said first image comprises a PET image.

15. The computer system of claim 1 , wherein said registering said first image with said second image to create said third image comprises using rigid registration to register said first image with said second image.

16. The computer system of claim 1 , wherein said registering said first image with said second image to create said third image comprises using elastic or deformable registration to register said first image with said second image.

17. A computer system comprising:
at least one processor; and
memory, wherein said computer system is configured for:
receiving a first image of a region of interest, said region of interest comprising a tissue that moves according to repeating movement cycle, said first image being an image of said region of interest at a first point in said repeating movement cycle;
receiving a second image of said region of interest, said second image being an image of said region of interest at a second point in said repeating movement cycle; and
registering said first image with said second image to create a new, third image in which said region of interest in said third image at least approximates a size and shape of said region of interest in said first image, but in which said region of interest in said third image has been repositioned with respect to said first image to compensate for movement of said tissue according to said repeating movement cycle, where registering said first image with said second image comprises dividing said region of interest in said first image into a plurality of sub-regions of interest based on a center of mass of said region of interest in said first image and mapping at least one of said plurality of sub-regions of interest in said first image to a corresponding sub-region of interest of said region of interest in said second image.

18. The computer system of claim 17 , wherein said registering said first image with said second image comprises:

Assignees

• Fox Tim
• Crocker Ian
• Pantalone Paul
• Schreibmann Eduard
• Univ Emory

Inventors

• Fox Tim
• Crocker Ian
• Pantalone Paul
• Schreibmann Eduard

Classifications

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• G06V10/50

  by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis · CPC title

• A61B6/5217 Primary

  extracting a diagnostic or physiological parameter from medical diagnostic data · CPC title

• A61B6/037

  Emission tomography · CPC title

• G06T2207/10104

  Positron emission tomography [PET] · CPC title