Motion artifact reduction in computed tomography

Patent metadata

Field	Value
Publication number	US-11759658-B2
Application number	US-202117218484-A
Country	US
Kind code	B2
Filing date	Mar 31, 2021
Priority date	Mar 31, 2021
Publication date	Sep 19, 2023
Grant date	Sep 19, 2023

Abstract

A reconstructed volume of a region of patient anatomy is processed to reduce motion artifacts in the reconstructed volume. Autosegmentation of high-contrast structures present in an initial reconstructed volume is performed to generate a 3D representation of the high-contrast structures. 2D mask projections are generated by performing forward projection on the 3D representation, where each 2D mask projection includes location information indicating pixels that correspond to the high-contrast structures during the forward projection process. The acquired 2D projections are modified via in-painting to generate corrected 2D projections, where the acquired 2D projections are modified using information from the 2D mask projections. For example, pixels in the acquired 2D projections that are associated with high-contrast moving structures are replaced with low-contrast pixels. These corrected 2D projections are used to produce an improved reconstructed volume with fewer and/or less visually prominent motion artifacts.

First claim

We claim:

1. A computer-implemented method of imaging a region of patient anatomy that includes a target volume, the method comprising:
performing an autosegmentation of a high-contrast portion of a first reconstructed volume of the region to generate a three-dimensional (3D) representation of the high-contrast portion disposed within the region, wherein the first reconstructed volume is reconstructed based on a set of two-dimensional (2D) acquired projections of the region;
generating a set of 2D mask projections of the region by performing a forward projection process on the 3D representation, wherein each 2D mask projection in the set of 2D mask projections includes location information indicating pixels that are blocked by the high-contrast portion during the forward projection process performed on the 3D representation;
based on the set of 2D acquired projections and the location information, generating a set of 2D corrected projections of the region, wherein each 2D corrected projection in the set of 2D corrected projections is generated by removing visual information associated with the high-contrast portion from a corresponding 2D acquired projection in the set of 2D acquired projections;
generating a second reconstructed volume of the region based on the 2D corrected projections;
generating a set of low-contrast 2D projections of the region by performing a forward projection process on the second reconstructed volume; and
generating a third reconstructed volume of the region by:
generating a set of low-artifact 2D projections of the region by replacing image information for certain pixels in one or more of the 2D acquired projections with image information from corresponding pixels in the low-contrast 2D projections; and
executing a reconstruction algorithm using the set of low-artifact 2D projections of the region to generate the third reconstructed volume.

2. The computer-implemented method of claim 1 , wherein the corresponding pixels in the low-contrast 2D projections are indicated by the location information.

3. The computer-implemented method of claim 1 , further comprising blending the third reconstructed volume with image information from the 3D representation that corresponds to the high-contrast portion to generate a fourth reconstructed volume.

4. The computer-implemented method of claim 1 , wherein the 3D representation includes location information of the high-contrast portion generated by the autosegmentation of the high-contrast portion.

5. The computer-implemented method of claim 1 , wherein the high-contrast portion comprises at least one of a gas bubble or a fiducial marker disposed within the region.

6. The computer-implemented method of claim 1 , further comprising, causing the set of acquired 2D projections of the region to be acquired prior to performing the autosegmentation of the high-contrast portion.

7. The computer-implemented method of claim 6 , wherein causing the set of acquired 2D projections to be acquired comprises:
causing a first 2D projection of the region to be acquired while the high-contrast portion is disposed in a first position within the region; and
causing a second 2D projection of the region to be acquired while the high-contrast portion is disposed in a second position within the region.

8. The computer-implemented method of claim 1 , further comprising, reconstructing a fourth reconstructed volume of the region based on the 2D corrected projections.

9. The computer-implemented method of claim 8 , wherein reconstructing the fourth reconstructed volume is further based on image information from the 2D mask projections.

10. A non-transitory computer-readable storage medium including instructions that, when executed by one or more processors, configure the one or more processors to perform the steps of:
performing an autosegmentation of a high-contrast portion of a first reconstructed volume of the region to generate a three-dimensional (3D) representation of the high-contrast portion disposed within the region, wherein the first reconstructed volume is reconstructed based on a set of two-dimensional (2D) acquired projections of the region;
generating a set of 2D mask projections of the region by performing a forward projection process on the 3D representation, wherein each 2D mask projection in the set of 2D mask projections includes location information indicating pixels that are blocked by the high-contrast portion during the forward projection process performed on the 3D representation;
based on the set of 2D acquired projections and the location information, generating a set of 2D corrected projections of the region, wherein each 2D corrected projection in the set of 2D corrected projections is generated by removing visual information associated with the high-contrast portion from a corresponding 2D acquired projection in the set of 2D acquired projections;
generating a second reconstructed volume of the region based on the 2D corrected projections
generating a set of low-contrast 2D projections of the region by performing a forward projection process on the second reconstructed volume; and
generating a third reconstructed volume of the region by:
generating a set of low-artifact 2D projections of the region by replacing image information for certain pixels in one or more of the 2D acquired projections with image information from corresponding pixels in the low-contrast 2D projections; and
executing a reconstruction algorithm using the set of low-artifact 2D projections of the region to generate the third reconstructed volume.

11. The non-transitory computer-readable storage medium of claim 10 , wherein the corresponding pixels in the low-contrast 2D projections are indicated by the location information.

12. The non-transitory computer-readable storage medium of claim 11 , further including instructions that, when executed by one or more processors, configure the one or more processors to perform the step of blending the third reconstructed volume with image information from the 3D representation that corresponds to the high-contrast portion to generate a fourth reconstructed volume.

13. The non-transitory computer-readable storage medium of claim 10 , wherein the 3D representation includes location information of the high-contrast portion generated by the autosegmentation of the high-contrast portion.

14. The non-transitory computer-readable storage medium of claim 10 , wherein the high-contrast portion comprises at least one of a gas bubble or a fiducial marker disposed within the region.

15. The computer-implemented method of claim 10 , further including instructions that, when executed by one or more processors, configure the one or more processors to perform the step of causing the set of acquired 2D projections of the region to be acquired prior to performing the autosegmentation of the high-contrast portion.

16. The computer-implemented method of claim 15 , wherein causing the set of acquired 2D projections to be acquired comprises:
causing a first 2D projection of the region to be acquired while the high-contrast portion is disposed in a first position within the region; and
causing a second 2D projection of the region to be acquired while the high-contrast portion is disposed in a second position within the region.

17. The computer-implemented method of claim 10 , further including instructions that, when executed by one or more processors, configure the one or more processors to perform the step of reconstructing a fourth reconstructed volume of the region based on the 2D corrected projections.

Assignees

• Siemens Healthineers Int Ag

Inventors

• Strzelecki Adam Michal
• Seghers Dieter Marc
• Peterlik Igor
• Plamondon Mathieu
• Paysan Pascal
• Munro Peter N
• Messmer Philippe

Classifications

• G06T12/30 Primary

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• A61N5/1064 Primary

  for adjusting radiation treatment in response to monitoring · CPC title

• G06T2211/421

  Filtered back projection [FBP] · CPC title

• G06T2211/448

  involving metal artefacts, streaking artefacts, beam hardening or photon starvation · CPC title

• G06T7/11

  Region-based segmentation · CPC title