IP Library › Granted Patent US 12,406,409
Granted Patent B2
US 12,406,409 · App. 17/878,297 · Granted Sep 2, 2025

System and method for motion compensation for cardiac PET imaging

Inventors: Matthew Gilbert Spangler-Bickell (Clovis, CA); Kuan-Hao Su (Brookfield, WI); Floribertus Philippus Martin Heukensfeldt Jansen (Ballston Lake, NY); Timothy Wayne Deller (Brookfield, WI)
Assignee: GE Precision Healthcare LLC
G06T11/005A61B6/037A61B6/503A61B6/5217A61B6/5264A61B6/5288G06T3/147G06T11/008G06T2210/41
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Quick Facts
Patent No.
US 12,406,409
App. No.
17/878,297
Granted
Sep 2, 2025
Kind
B2
Abstract

A computer-implemented method for motion compensation of medical imaging data includes estimating, via a processor, non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject. The method also includes performing, via the processor, event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed.

Claims (40)

1. A computer-implemented method for motion compensation of medical imaging data, comprising:

estimating, via a processor, non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject; and

performing, via the processor, event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed, wherein performing the event-by-event motion-corrected list-mode reconstruction on the list-mode emission data comprises performing cardiac-gated reconstruction on the list-mode emission data to generate cardiac-gated images with the non-periodic motion removed, wherein performing the event-by-event motion-corrected list mode cardiac-gated reconstruction comprises:

performing, via the processor, motion correction on each event of the list-mode emission data; and

performing, via the processor, cardiac-gated reconstruction on the motion-corrected list-mode emission data; and

wherein performing motion correction on each event comprises:

repositioning, via the processor, the endpoints of each event to account for motion at a corresponding time point; and

calculating, via the processor, motion-aware corrections.

2. The computer-implemented method of claim 1 , acquiring, via the processor, the list-mode emission data during the PET scan of the heart of the subject.

3. The computer-implemented method of claim 1 , further comprising combining, via the processor, the cardiac-gated images using non-rigid image registration to generate a reconstructed, motion-corrected image of the heart.

4. The computer-implemented method of claim 1 , wherein performing the cardiac-gated reconstruction is based on electrocardiogram signals acquired of the subject during the PET scan or a data-driven gating approach.

5. The computer-implemented method of claim 1 , wherein performing the cardiac-gated reconstruction is based on both motion-corrected list-mode emission data and the motion-aware corrections.

6. The computer-implemented method of claim 3 , wherein the reconstructed, motion-corrected image of the heart is for a specific gate.

7. The computer-implemented method of claim 3 , wherein the reconstructed, motion-corrected image of the heart is an aggregate of all gates.

8. The computer-implemented method of claim 1 , further comprising reconstructing the list-mode emission data into consecutive frames.

9. The computer-implemented method of claim 8 , wherein each frame of the consecutive frames spans a second or less or spans no more than a portion of a mean respiratory cycle.

10. The computer-implemented method of claim 8 , wherein estimating the non-periodic motion of the myocardium comprises using, via the processor, image registration with at least one degree of freedom on the consecutive frames with at least one of the consecutive frames utilized as a reference frame.

11. The computer-implemented method of claim 10 , wherein estimating the non-periodic motion of the myocardium using image registration comprises estimating, via the processor, an actual position of the myocardium at every frame of the consecutive frames over an entirety of the PET scan.

12. The computer-implemented method of claim 10 , wherein estimating the non-periodic motion of the myocardium using image registration comprises using rigid image registration on the consecutive frames.

13. The computer-implemented method of claim 10 , wherein estimating the non-periodic motion of the myocardium using image registration comprises using non-rigid image registration on the consecutive frames.

14. The computer-implemented method of claim 10 , wherein estimating the non-periodic motion of the myocardium using image registration comprises using affine image registration on the consecutive frames.

15. The computer-implemented method of claim 8 , wherein reconstructing the list-mode emission data into consecutive frames is based on cardiac phase information.

16. A system for motion compensation of medical imaging data, comprising:

a memory encoding processor-executable routines;

a processing component configured to access the memory and to execute the processor-executable routines, wherein the routines, when executed by the processing component, cause the processing component to:

estimate non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject; and

perform event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed, wherein performing the event-by-event motion-corrected list-mode reconstruction on the list-mode emission data comprises performing cardiac-gated reconstruction on the list-mode emission data to generate cardiac-gated images with the non-periodic motion removed, wherein performing the event-by-event motion-corrected list mode cardiac-gated reconstruction comprises:

performing, via the processor, motion correction on each event of the list-mode emission data; and

performing, via the processor, cardiac-gated reconstruction on the motion-corrected list-mode emission data; and

wherein performing motion correction on each event comprises:

repositioning, via the processor, the endpoints of each event to account for motion at a corresponding time point; and

calculating, via the processor, motion-aware corrections.

17. A non-transitory computer-readable medium, the computer-readable medium comprising processor-executable code that when executed by a processor, causes the processor to:

estimate non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject; and

perform event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed, wherein performing the event-by-event motion-corrected list-mode reconstruction on the list-mode emission data comprises performing cardiac-gated reconstruction on the list-mode emission data to generate cardiac-gated images with the non-periodic motion removed, wherein performing the event-by-event motion-corrected list mode cardiac-gated reconstruction comprises:

performing, via the processor, motion correction on each event of the list-mode emission data; and

performing, via the processor, cardiac-gated reconstruction on the motion-corrected list-mode emission data; and

wherein performing motion correction on each event comprises:

repositioning, via the processor, the endpoints of each event to account for motion at a corresponding time point; and

calculating, via the processor, motion-aware corrections.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 1, 2022
From: SPANGLER-BICKELL, MATTHEW GILBERT; SU, KUAN-HAO; HEUKENSFELDT JANSEN, FLORIBERTUS PHILIPPUS MARTINUS; DELLER, TIMOTHY WAYNE
To: GE PRECISION HEALTHCARE LLC
Reel/Frame 060686/0551 →
Continuity (1)
Related Publication 20240037813A1 · Feb 1, 2024
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