Apparatus and method for removing breathing motion artifacts in CT scans

Patent metadata

Field	Value
Publication number	US-11734839-B2
Application number	US-202017027294-A
Country	US
Kind code	B2
Filing date	Sep 21, 2020
Priority date	Mar 23, 2018
Publication date	Aug 22, 2023
Grant date	Aug 22, 2023

Abstract

A method and apparatus for removing breathing motion artifacts in imaging CT scans is disclosed. The method acquires raw imaging data from a CT scanner, and processes the raw CT imaging data by removing motion-induced artifacts via a motion model. Processing the imaging data may be achieved by initially estimating a 3D image to provide an estimate of raw sinogram image data, comparing the estimate to an actual CT sinogram, determining a difference between the sinograms, and iteratively reconstructing the 3D image by using the difference to alter the 3D image until the sinograms agree, wherein the 3D image moves according to the motion model.

First claim

What is claimed is:

1. An apparatus for removing motion-induced artifacts in a scanned image, the apparatus comprising:
(a) a computer processor; and
(b) a non-transitory computer-readable memory storing instructions executable by the computer processor;
(c) wherein said instructions, when executed by the computer processor, perform steps comprising:
(i) acquiring raw imaging data of a moving target anatomy from an image scanner;
(ii) generating a reference image representative of the target anatomy geometry at a specific phase of motion;
(iii) generating a motion model as a function of the reference image;
(iv) iteratively reconstructing a 3D image of the target anatomy with the motion model to remove motion-induced artifacts from the image; and
(v) outputting a motion artifact-free 3D image.

2. The apparatus of claim 1 , wherein the 3D image moves according to the motion model.

3. The apparatus of claim 1 , wherein the motion-induced artifacts comprise breathing motion of the target anatomy, and wherein the image is representative of the target anatomy at a specific breathing phase.

4. The apparatus of claim 3 , wherein the raw imaging data comprises a computed tomography (CT) sinograms acquired as a series of frames.

5. The apparatus of claim 4 , wherein the reference image of the target anatomy is generated from one or more of: a previously acquired imaging scan or sinogram, an imaging scan reconstructed from a previous scan iteration, or a 3D image acquired from another source.

6. The apparatus of claim 4 :
(vi) wherein generating a reference image comprises estimating a reference 3D image to provide an estimate of the acquired sinogram image data; and
(vii) wherein iteratively reconstructing a 3D image comprises comparing the estimate to an acquired sinogram and determining a difference between the reference 3D image and the acquired sinogram, and iteratively reconstructing the 3D image by using the determined difference to alter the 3D image until the reference 3D image and the acquired sinogram agree.

7. The apparatus of claim 4 , wherein the motion model is generated via a breathing motion surrogate that is quantitatively coupled to the breathing phase.

8. The apparatus of claim 7 , wherein the breathing motion surrogate is a function of one or more of spirometry-measured tidal volume or CT gantry angle.

9. The apparatus of claim 7 , wherein the breathing motion surrogate comprises an image acquired from an external noninvasive device.

10. The apparatus of claim 6 , wherein the 3D image is reconstructed such that in each iteration, one or more projections are cast through a current image iteration and compared against measured sinogram data, wherein differences between the current image iteration and measured sinogram data are cast back-projected through the 3D image to improve the 3D image.

11. A system for removing breathing motion artifacts in CT scans, the system comprising:
(a) a CT scanner;
(b) a computer processor; and
(c) a non-transitory computer-readable memory storing instructions executable by the computer processor;
(d) wherein said instructions, when executed by the computer processor, perform steps comprising:
(i) acquiring raw imaging data of a moving target anatomy from the CT scanner, the raw imaging data comprising sinograms acquired as a series of frames;
(ii) generating a reference image representative of the target anatomy geometry at a specific phase of motion;
(iii) generating a motion model as a function of the reference image;
(iv) iteratively reconstructing a 3D image of the target anatomy with the motion model to remove motion-induced artifacts from the image; and
(v) outputting a motion artifact-free 3D image.

12. The system of claim 11 , wherein the 3D image moves according to the motion model.

13. The system of claim 11 , wherein the motion-induced artifacts comprise breathing motion of the target anatomy, and wherein the image is representative of the target anatomy at a specific breathing phase.

14. The system of claim 11 , wherein the reference image of the target anatomy is generated from one or more of: a previously acquired imaging scan or sinogram, an imaging scan reconstructed from a previous scan iteration, or a 3D image acquired from another source.

15. The system of claim 13 :
(vi) wherein generating a reference image comprises estimating a reference 3D image to provide an estimate of the acquired sinogram image data; and
(vii) wherein iteratively reconstructing a 3D image comprises comparing the estimate to an acquired sinogram and determining a difference between the reference 3D image and the acquired sinogram, and iteratively reconstructing the 3D image by using the determined difference to alter the 3D image until the reference 3D image and the acquired sinogram agree.

16. The system of claim 13 , wherein the motion model is generated via a breathing motion surrogate that is quantitatively coupled to the breathing phase.

17. The system of claim 16 , wherein the breathing motion surrogate is a function of one or more of spirometry-measured tidal volume or CT gantry angle.

18. The system of claim 16 , wherein the breathing motion surrogate comprises an image acquired from an external noninvasive device.

19. The system of claim 15 , wherein the 3D image is reconstructed such that in each iteration, one or more projections are cast through a current image iteration and compared against measured sinogram data, wherein differences between the current image iteration and measured sinogram data are cast back-projected through the 3D image to improve the 3D image.

20. A computer implemented method for removing motion-induced artifacts in a scanned image, the method comprising:
(a) acquiring raw imaging data of a moving target anatomy from an image scanner;
(b) generating a reference image representative of the target anatomy geometry at a specific phase of motion;
(c) generating a motion model as a function of the reference image;
(d) iteratively reconstructing a 3D image of the target anatomy with the motion model to remove motion-induced artifacts from the image; and
(e) outputting a motion artifact-free 3D image;
(f) wherein said method is performed by a computer processor executing instructions stored on a non-transitory computer-readable medium.

21. The method of claim 20 , wherein the 3D image moves according to the motion model.

22. The method of claim 20 , wherein the motion-induced artifacts comprise breathing motion of the target anatomy, and wherein the image is representative of the target anatomy at a specific breathing phase.

23. The method of claim 22 , wherein the raw imaging data comprises a computed tomography (CT) sinograms acquired as a series of frames.

24. The method of claim 23 , wherein the reference image of the target anatomy is generated from one or more of: a previously acquired imaging scan or sinogram, an imaging scan reconstructed from a previous scan iteration, or a 3D image acquired from another source.

25. The method of claim 20 :
(g) wherein generating a reference image comprises estimating a reference 3D image to provide an estimate of the acquired sinogram image data; and
(h) wherein iteratively reconstructing a 3D image comprises comparing the estimate to an acquired sinogram and determining a difference between the reference 3D image and the acquired sinogram, and iteratively reconstructing the

Assignees

• Univ California

Inventors

• Low Daniel
• Santhanam Anand
• O'Connell Dylan

Classifications

• G06T12/20

  Inverse problem, i.e. transformations from projection space into object space · CPC title

• G06T7/251 Primary

  involving models · CPC title

• G06T7/248

  involving reference images or patches · CPC title

• G16H30/20

  for handling medical images, e.g. DICOM, HL7 or PACS · CPC title

• G16H30/40

  for processing medical images, e.g. editing · CPC title