Target identification using time-based data sets

• US 20060122499A1
• Filed: 12/07/2004
• Published: 06/08/2006
• Est. Priority Date: 12/07/2004
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Hristov, Dimitre Hristov, Bijumon, Gangadharan M.
• Granted Patent: US 7,551,759 B2
• Time in Patent Office: Days
• US Class Current: 600/425
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/463 characterised by displaying multiple images or images and diagnostic data on one display
• CPC Class Codes: A61B 6/466 adapted to display 3D data
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: A61N 5/103 Treatment planning systems

Abstract

A system includes acquisition of a first image of a portion of a body, the first image representing the portion during a first phase of motion, acquisition of a second image of the portion of the body, the second image representing the portion during a second phase of motion, generation of a composite image based on the first image and the second image, the composite image indicating a position of a target during the first phase of motion and a position of the target during the second phase of motion, and identification of a target region based on the composite image.

Claims

1. A method comprising:

acquiring a first image of a portion of a body, the first image representing the portion during a first phase of motion;

acquiring a second image of the portion of the body, the second image representing the portion during a second phase of motion;

generating a composite image based on the first image and the second image, the composite image indicating a position of a target during the first phase of motion and a position of the target during the second phase of motion; and

identifying a target region based on the composite image.

2. A method according to claim 1, wherein the first image and the second image comprise two-dimensional cross-sectional images of the portion of the body.

3. A method according to claim 2, wherein the first and second images are acquired by a computed tomography scanner.

4. A method according to claim 2, wherein the first and second images are acquired using a linear accelerator.

5. A method according to claim 2, further comprising:

acquiring a third two-dimensional cross-sectional image of a second portion of the body, the third image representing the portion during a third phase of motion;

acquiring a fourth two-dimensional cross-sectional image of the second portion of the body, the fourth image representing the portion during a fourth phase of motion;

generating a second composite image based on the third image and the fourth image, the second composite image indicating a position of the target during the third phase of motion and a position of the target during the fourth phase of motion; and

identifying a second target region based on the second composite image.

6. A method according to claim 5, further comprising:

generating a three-dimensional image of the target region based on the identified first target region and the identified second target region.

7. A method according to claim 5, wherein the first phase of motion is identical to the third phase of motion, and

wherein the second phase of motion is identical to the fourth phase of motion.

8. A method according to claim 1, wherein the first image and the second image comprise three-dimensional images of the portion of the body.

9. A method according to claim 8, wherein the composite image comprises a two-dimensional cross-sectional image of the portion of the body.

10. A method according to claim 1, wherein the first and second images comprise projection images of the portion of the body.

11. A method according to claim 1, wherein identifying the target region comprises:

receiving input from a user, the input indicating the target region.

12. A method according to claim 1, further comprising:

acquiring a third image of the portion of the body, the third image representing the portion during a third phase of motion,

wherein the composite image is generated based on the first image, the second image and the third image, the composite image indicating a position of the target during the first phase of motion, a position of the target during the second phase of motion, and a position of the target during the third phase of motion.

13. A method according to claim 1, wherein generating the composite image comprises:

determining a value for a pixel of the composite image based on values of corresponding pixels of the first image and the second image.

14. A method according to claim 13, wherein determining the value for the pixel comprises:

determining an average value of the corresponding pixels of the first image and the second image.

15. A method according to claim 13, wherein determining the value for the pixel comprises:

determining a maximum value of the corresponding pixels of the first image and the second image.

16. A method according to claim 13, wherein determining the value for the pixel comprises:

determining a minimum value of the corresponding pixels of the first image and the second image.

17. A method according to claim 1, further comprising:

acquiring n images of the portion of the body, the n images representing the portion during each of n phases of motion,

wherein generating the composite image determining a value for a pixel of the composite image based on values of corresponding pixels of the first image, the second image and the n images.

18. A method according to claim 17, wherein determining the value for the pixel comprises:

determining an average value of the corresponding pixels of the first image, the second image and the n images.

19. A method according to claim 17, wherein determining the value for the pixel comprises:

determining a maximum value of the corresponding pixels of the first image, the second image and the n images.

20. A method according to claim 17, wherein determining the value for the pixel comprises:

determining a minimum value of the corresponding pixels of the first image, the second image and the n images.

21. An apparatus comprising:

a memory storing processor-executable process steps; and

a processor in communication with the memory and operative in conjunction with the stored process steps to;

generate a composite image based on a first image of a portion of a body, the first image representing the portion during a first phase of motion and a second image of the portion of the body, the second image representing the portion during a second phase of motion, the composite image indicating a position of a target during the first phase of motion and a position of the target during the second phase of motion; and

identify a target region based on the composite image.

22. An apparatus according to claim 21, the processor further operative in conjunction with the stored process steps to:

acquire the first image; and

acquire the second image.

23. An apparatus according to claim 21, wherein the first image and the second image comprise two-dimensional cross-sectional images of the portion of the body.

24. An apparatus according to claim 23, the processor further operative in conjunction with the stored process steps to:

acquire a third two-dimensional cross-sectional image of a second portion of the body, the third image representing the portion during a third phase of motion;

acquire a fourth two-dimensional cross-sectional image of the second portion of the body, the fourth image representing the portion during a fourth phase of motion;

generate a second composite image based on the third image and the fourth image, the second composite image indicating a position of the target during the third phase of motion and a position of the target during the fourth phase of motion; and

identify a second target region based on the second composite image.

25. An apparatus according to claim 24, the processor further operative in conjunction with the stored process steps to:

generate a three-dimensional image of the target region based on the identified first target region and the identified second target region.

26. An apparatus according to claim 21, wherein the first image and the second image comprise three-dimensional images of the portion of the body.

27. An apparatus according to claim 26, wherein the composite image comprises a two-dimensional cross-sectional image of the portion of the body.

28. An apparatus according to claim 21, wherein the first and second images comprise projection images of the portion of the body.

29. An apparatus according to claim 21, wherein identification of the target region comprises:

reception of input indicating the target region from a user.

30. An apparatus according to claim 21, the processor further operative in conjunction with the stored process steps to:

generate the composite image based on the first image, the second image and a third image of the portion of the body, the third image representing the portion during a third phase of motion, the composite image indicating a position of the target during the first phase of motion, a position of the target during the second phase of motion, and a position of the target during the third phase of motion.

31. An apparatus according to claim 21, wherein generation of the composite image comprises:

determination of a value for a pixel of the composite image based on values of corresponding pixels of the first image and the second image.

32. An apparatus according to claim 31, wherein determination of the value for the pixel comprises:

determination of an average value of the corresponding pixels of the first image and the second image.

33. An apparatus according to claim 31, wherein determination of the value for the pixel comprises:

determination of a maximum value of the corresponding pixels of the first image and the second image.

34. An apparatus according to claim 31, wherein determination of the value for the pixel comprises:

determination of a minimum value of the corresponding pixels of the first image and the second image.

35. An apparatus according to claim 21, wherein generation of the composite image comprises:

determination of a value for a pixel of the composite image based on values of corresponding pixels of the first image, the second image and n images of the portion of the body, the n images representing the portion during each of n phases of motion.