System and method for iterative reconstruction using mask images

• US 20080085040A1
• Filed: 10/05/2006
• Published: 04/10/2008
• Est. Priority Date: 10/05/2006
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Basu, Samit Kumar, Man, Bruno De
• Application Number:
  US11/543,441
• Publication Number:
  US 20080085040A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 11/005 Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
• CPC Class Codes: G06T 2211/424 Iterative

Abstract

A method and system are provided for iteratively processing an image estimate. In one embodiment, the image estimate is updated with an update image each iteration of processing. In this embodiment, the update image for each iteration is derived based at least in part on a scale image derived from a mask image. The mask image defines a subset of pixels participating in the reconstruction based on an imaged object. The scale image is updated based on a numerator term and a denominator term. The denominator term is based on the mask image. Computer routines for processing image data for processing image data in accordance with these techniques are also provided.

Claims

1. A method for processing image data comprising:

iteratively processing an image estimate, wherein each iteration of processing comprises updating the image estimate with an update image; and

deriving the update image for each iteration based at least in part on a scale image derived from a mask image that defines a subset of pixels participating in the reconstruction based on an imaged object, wherein the scale image is updated based on a numerator term and a denominator term and wherein the denominator term is based on the mask image.

4. The method of claim 1, wherein the mask image is generated as a direct reconstruction of the set of acquired image data.

5. The method of claim 1, wherein the mask image comprises a binary image.

6. The method of claim 1, wherein the mask image is generated from the projection boundaries.

7. The method of claim 1, wherein the mask image is generated from a related image dataset.

8. The method of claim 1, wherein the mask image comprises a suitable analytic shape corresponding to the imaged object.

2-3. -3. (canceled)

9-14. -14. (canceled)

15. One or more computer-readable media, comprising:

a routine configured to iteratively process an image estimate, wherein each iteration of processing comprises updating the image estimate with an update image; and

a routine configured to derive the update image for each iteration based at least in part on a scale image derived from a mask image that defines a subset of pixels participating in the reconstruction based on an imaged object, wherein the scale image is updated based on a numerator term and a denominator term and wherein the denominator term is based on the mask image.

16-18. -18. (canceled)

19. A method for iteratively reconstructing an image comprising:

providing an image estimate;

projecting the image estimate using a current view subset to generate a calculated sinogram;

calculating an error sinogram based on the calculated sinogram;

back-projecting at least a portion of the error sinogram to generate a back-projected error;

generating an update image using the back-projected error and a scale image generated using a mask image derived based upon an object that is the subject of the image estimate; and

updating the image estimate using the update image.

20. The method of claim 19, wherein the image estimate comprises a direct reconstruction of a set of acquired image data.

21. The method of claim 19, wherein the image estimate comprises an image of all zeros.

22. The method of claim 19, wherein calculating the error sinogram comprises subtracting a set of log-corrected raw image data in line-integral attenuation form from the calculated sinogram using the views from the raw image data corresponding to the current view subset.

23. The method of claim 19, wherein generating the update image comprises multiplying the back-projected error by the scale image.

24. The method of claim 19, comprising scaling the update image.

26. The method of claim 19, wherein the scale image is scaled based on the number of views in the largest view subset.

27. The method of claim 19, wherein updating the image estimate comprises subtracting the update image from the image estimate.

28. The method of claim 19 comprising iterating the steps of projecting, calculating, back-projecting, generating, and updating.

25. (canceled)

29-30. -30. (canceled)

31. One or more computer-readable media, comprising:

a routine configured to provide an image estimate;

a routine configured to project the image estimate using a current view subset to generate a calculated sinogram;

a routine configured to calculate an error sinogram based on the calculated sinogram;

a routine configured to back-project at least a portion of the error sinogram to generate a back-projected error;

a routine configured to generate an update image using the back-projected error and a scale image generated using a mask image derived based upon an object that is the subject of the image estimate; and

a routine configured to update the image estimate using the update image.

35. The one or more computer-readable media of claim 31, comprising:

a routine configured to scale the update image.

37. The one or more computer-readable media of claim 31, comprising:

a routine configured to iteratively execute the routines for projecting, calculating, back-projecting, generating, and updating.

32-34. -34. (canceled)

36. (canceled)

38. An image processing system, comprising:

a processing component configured to iteratively process an image estimate, wherein each iteration of processing comprises updating the image estimate with an update image and to derive the update image for each iteration based at least in part on a scale image derived from a mask image that defines a subset of pixels participating in the reconstruction based on an imaged object, wherein the scale image is updated based on a numerator term and a denominator term and wherein the denominator term is based on the mask image.

39. An image processing system, comprising:

a processing component configured to provide an image estimate, to project the image estimate using a current view subset to generate a calculated sinogram, to calculate an error sinogram based on the calculated sinogram, to back-project at least a portion of the error sinogram to generate a back-projected error, to generate an update image using the back-projected error and a scale image generated using a mask image derived based upon an object that is the subject of the image estimate, and to update the image estimate using the update image.