Iterative reconstruction of tomographic image data method and system

• US 7,680,240 B2
• Filed: 03/30/2007
• Issued: 03/16/2010
• Est. Priority Date: 03/30/2007
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Jansen, Floribertus Philippus Martinus Heukensfeldt, Manjeshwar, Ravindra Mohan, Stearns, Charles William, Hugg, James William
• Primary Examiner(s): Glick; Edward J
• Assistant Examiner(s): Taningco; Alexander H
• Application Number:
  US11/731,612
• Publication Number:
  US 20080240335A1
• Time in Patent Office: 1,082 Days
• Field of Search: 378/4, 378/8
• US Class Current: 378/4
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/037 Emission tomography
• CPC Class Codes: A61B 6/469 for selecting a region of interest [ROI]
• CPC Class Codes: G06T 11/006 Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
• CPC Class Codes: G06T 2211/424 Iterative
• CPC Class Codes: G06T 2211/432 Truncation

Abstract

Methods for performing image reconstruction that include deriving background projection data for an area outside a targeted field of view of a tomographic image, and reconstructing the tomographic image of the targeted field of view, wherein the background projection data is used in the reconstruction. Methods for selecting a reconstruction methodology that include determining a number of pixels in a reconstructed image for a first reconstruction methodology, determining a number of pixels in a reconstructed image for a second reconstruction methodology, comparing the number of pixels for the first reconstruction methodology and the number of pixels for the second reconstruction methodology, and selecting the reconstruction methodology for image reconstruction based on the comparison of the number of pixels. Imaging systems implementing these methods are also provided.

Claims

1. A method for performing image reconstruction, comprising:

deriving background projection data for an area outside a targeted field of view and an area inside a scan field of view of a tomographic image;

reconstructing the tomographic image of the targeted field of view, said reconstructing comprising;

obtaining an image estimate of the scan field of view;

forward projecting the image estimate of the scan field of view;

comparing the targeted projection data with the forward projected image estimate to obtain a correction ratio;

back projecting the correction ratio to obtain correction image data;

applying the correction image data to the image estimate to obtain an updated image estimate, and

wherein the background projection data is used in the reconstruction.

2. The method of claim 1, wherein the deriving the background projection data comprises masking pixels in a reconstructed image, wherein the masked pixels correspond to pixels inside the targeted field of view.

3. The method of claim 1, wherein the deriving the background projection data comprises:

deriving measured projection data for the scan field of view of the tomographic image;

reconstructing the measured projection data to obtain an image of the scan field of view;

masking pixels in the reconstructed image of the scan field of view, wherein the masked pixels correspond to pixels inside the targeted field of view; and

forward projecting the reconstructed image with the masked pixels to obtain the background projection data.

4. The method of claim 1, wherein the reconstructing the tomographic image of the targeted field of view comprises subtracting the background projection data from projection data for the scan field of view to obtain targeted projection data.

5. The method of claim 1, comprising applying attenuation to the background projection data so that the attenuated background projection data is subtracted from the projection data for the scan field of view.

6. The method of claim 1, wherein the reconstructing the tomographic image of the targeted field of view comprises:

applying attenuation to the background projection data; and

adding the attenuated background projection data to a forward projected image estimate of the targeted field of view to obtain a corrected forward projection.

7. The method of claim 6, wherein the reconstructing the tomographic image of the targeted field of view comprises:

comparing the corrected forward projection to a measured projection data for the scan field of view to obtain a correction ratio;

back projecting the correction ratio to obtain correction image data; and

applying the correction image data to the image estimate to obtain an updated image estimate.

8. The method of claim 1, wherein the reconstructing the tomographic image of the targeted field of view comprises utilizing an Ordered Subsets Expectation Maximization algorithm or a Maximum Likelihood Transmission algorithm.

9. The method of claim 1, wherein the image reconstruction is applied to four dimensions, wherein the fourth dimension is time dependent gating.

10. The method of claim 9, wherein the background projection data is not time dependent while projection data is acquired based on time dependent gating, and wherein the reconstructing the tomographic image of the targeted field of view comprises scaling the background projection data by the relative acquisition time of each gate to obtain gated background projection data for each corresponding gate.

11. The method of claim 1, wherein the targeted field of view is selected by a user, is automatically selected, or is semi-automatically selected.

12. The method of claim 1, wherein the targeted field of view comprises a selected field of view plus a buffer zone.

13. The method of claim 1, wherein the background projection data is a projection data resulting from attenuation of photon flux from the area outside the targeted field of view.

14. The method of claim 1, wherein the targeted field of view is less than or equal to the scan field of view.

15. A method for selecting a reconstruction methodology, comprising:

determining a number of pixels in a reconstructed image for a first reconstruction methodology;

determining a number of pixels in a reconstructed image for a second reconstruction methodology;

comparing the number of pixels for the first reconstruction methodology and the number of pixels for the second reconstruction methodology; and

selecting the reconstruction methodology for image reconstruction based on the comparison of the number of pixels.

16. The method of claim 15, wherein the number of pixels in the reconstructed image for the first reconstruction methodology is represented by the following equation:

${\left(\frac{N_T<br><br>\mathrm{SFOV}}{\mathrm{TFOV}}\right)}^2$

wherein N_T is the size of a pixel grid for a targeted reconstruction, SFOV is a diameter of a scan field of view, and TFOV is a diameter of the targeted field of view.

17. The method of claim 15, wherein the number of pixels in the reconstructed image for the second reconstruction methodology is represented by the following equation:

${N_F^2\left[N_T*\left(1+\frac{2<br><br>\sqrt{2}<br><br>\mathrm{SFOV}}{N_F<br><br>\mathrm{TFOV}}\right)\right]}^2$

wherein N_F is the number of pixels for full scan field of view, N_T is the size of the pixel grid for a targeted reconstruction, SFOV is the diameter of a scan field of view, and TFOV is the diameter of a targeted field of view.

18. An imaging system comprising:

image reconstruction and processing circuitry configured to derive background projection data for an area outside a targeted field of view of a tomographic image and an area inside a scan field of view, to obtain an image estimate of the scan field of view, to forward project the image estimate of the scan field of view, to compare the targeted projection data with the forward projected image estimate to obtain a correction ratio, to back project the correction ratio to obtain correction image data, and to apply the correction image data to the image estimate to obtain an updated image estimate and to reconstruct the tomographic image of the targeted field of view, wherein the background projection data is used in the reconstruction.

19. The method of claim 18, wherein the image reconstruction and processing circuitry is configured to mask pixels in a reconstructed image to derive the background projection data, wherein the masked pixels correspond to pixels inside the targeted field of view.

20. The imaging system of claim 18, wherein the image reconstruction and processing circuitry is configured to derive measured projection data for a scan field of view of the tomographic image, to reconstruct the measured projection data to obtain an image of the scan field of view, to mask pixels in the reconstructed image of the scan field of view, wherein the masked pixels correspond to pixels inside the targeted field of view, and to forward project the reconstructed image with the masked pixels to obtain the background projection data.

21. The imaging system of claim 18, wherein the image reconstruction and processing circuitry is configured to subtract the background projection data from a projection data for the scan field of view to obtain targeted projection data.

22. The imaging system of claim 18, wherein the image reconstruction and processing circuitry is configured to apply attenuation to the background projection data, and add the attenuated background projection data to a forward projected image estimate of the targeted field of view to obtain a corrected forward projection.

23. The imaging system of claim 22, wherein the image reconstruction and processing circuitry is configured to compare the corrected forward projection to measured projection data for the scan field of view to obtain a correction ratio, to back project the correction ratio to obtain correction image data, and to apply the correction image data to the image estimate to obtain an updated image estimate.

24. The imaging system of claim 18, wherein the reconstruction is applied to four dimensions, wherein the fourth dimension is time dependent gating.

25. The imaging system of claim 18, wherein the imaging system is a PET system, a CT system, a SPECT system, or any other imaging system that uses line integral projection tomography reconstruction, or a combination thereof.

26. An imaging system comprising:

image reconstruction and processing circuitry configured to determine a number of pixels in a reconstructed image for a first reconstruction methodology, to determine a number of pixels in a reconstructed image for a second reconstruction methodology, to compare the number of pixels for the first reconstruction methodology and the number of pixels for the second reconstruction methodology, and to select the reconstruction methodology for image reconstruction based on the comparison of the number of pixels.

27. The imaging system of claim 26, wherein the imaging system is a PET system, a CT system, a SPECT system, or any other imaging system that uses line integral projection tomography reconstruction, or a combination thereof.

28. A computer program, stored on a computer readable medium, for performing image reconstruction, the program constructed and arranged to derive background projection data for an area outside a targeted field of view of a tomographic image and an area inside a scan field of view, and to reconstruct the tomographic image of the targeted field of view by the steps comprising:

obtaining an image estimate of the scan field of view;

forward projecting the image estimate of the scan field of view;

comparing the targeted projection data with the forward projected image estimate to obtain a correction ratio;

back projecting the correction ratio to obtain correction image data;

applying the correction image data to the image estimate to obtain an updated image estimate, and

wherein the background projection data is used in the reconstruction.

29. A computer program, stored on a computer readable medium, for performing image reconstruction, the program constructed and arranged to determine a number of pixels in a reconstructed image for a first reconstruction methodology, to determine a number of pixels in a reconstructed image for a second reconstruction methodology, to compare the number of pixels for the first reconstruction methodology and the number of pixels for the second reconstruction methodology, and to select the reconstruction methodology for image reconstruction based on the comparison of the number of pixels.