Patient body motion correction for dynamic cardiac PET-CT by attenuation-emission alignment according to projection consistency conditions.
dynamic positron emission tomography
motion correction
patient body motion
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Apr 2019
Apr 2019
Historique:
received:
21
11
2018
revised:
22
01
2019
accepted:
23
01
2019
pubmed:
3
2
2019
medline:
20
8
2019
entrez:
3
2
2019
Statut:
ppublish
Résumé
Patient body motion is known to cause large deviations in the determination of myocardial blood flow (MBF) with errors exceeding 300%. Accurate correction for patient whole-body motion is still a largely unsolved problem in cardiac positron emission tomography (PET) imaging. This study evaluated the efficacy of using Natterer's formulation of the Helgason-Ludwig consistency conditions on the two-dimensional Radon transform to align computed tomography to PET projection data in multiple time frames of a dynamic sequence for the purpose of frame-by-frame correction of rigid whole-body motion. The correction algorithm was evaluated with digital NCAT phantoms using realistic noise added by the analytical simulator. Count rates used in the simulation were derived from clinical patient data. In addition, a proof of concept test using measured data with a cardiac torso phantom was conducted. Motion correction resulted in significant improvement in the accuracy of MBF estimates, especially for high count-rate acquisitions. Maximum errors for 2 cm of motion dropped from 325% to 25% and from 250% to 25% using global and regional partial-volume correction, respectively. Median MBF errors dropped from 33% to 4.5% and 27% to 3.8%, respectively. Importantly, the correction algorithm performed equally well to compensate for body motion in both early and late time frames. Cardiac PET-CT data used for attenuation correction (CTAC) alignment using projection consistency conditions was effective for reducing errors in MBF measurements due to simulated patient motion, and can be integrated into the image reconstruction workflow.
Identifiants
pubmed: 30710381
doi: 10.1002/mp.13419
pmc: PMC9559704
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1697-1706Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL109327
Pays : United States
Organisme : Natural Sciences and Engineering Research Council of Canada
ID : 436149
Organisme : Ontario Research Fund
ID : ORF-RE07-021
Organisme : Ontario Research Fund
ID : ORF-RE02-038
Informations de copyright
© 2019 American Association of Physicists in Medicine.
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