A systematic performance evaluation of head motion correction techniques for 3 commercial PET scanners using a reproducible experimental acquisition protocol.
Brain PET
Motion-correction
Optical tracking
PET/MR
Reproducibility
Journal
Annals of nuclear medicine
ISSN: 1864-6433
Titre abrégé: Ann Nucl Med
Pays: Japan
ID NLM: 8913398
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
26
01
2019
accepted:
22
03
2019
pubmed:
30
3
2019
medline:
18
12
2019
entrez:
30
3
2019
Statut:
ppublish
Résumé
Subject's motion during brain PET scan degrades spatial resolution and quantification of PET images. To suppress these effects, rigid-body motion correction systems have been installed in commercial PET scanners. In this study, we systematically compare the accuracy of motion correction among 3 commercial PET scanners using a reproducible experimental acquisition protocol. A cylindrical phantom with two The percent differences (%diff) in averaged FWHMs of point sources at 4 cm off-center between motion-corrected and static images were 0.77 ± 0.16 (STARGATE), 2.4 ± 0.34 (SET-3000), and 11 ± 1.0% (mMR) for a 5° yaw and 2.3 ± 0.37 (STARGATE) and 1.1 ± 0.60 (SET-3000) for a 15° pitch respectively. The averaged %diff between ROI values of motion-corrected images and static images were less than 2.0% for all conditions. In this study, we proposed a reproducible experimental framework to allow the systematic validation and comparison of multiple motion tracking and correction methodologies among different PET/CT and PET/MR commercial systems. Our proposed validation platform may be useful for future studies evaluating state-of-the-art motion correction strategies in clinical PET imaging.
Identifiants
pubmed: 30924048
doi: 10.1007/s12149-019-01353-w
pii: 10.1007/s12149-019-01353-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
459-470Subventions
Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : 15K08687
Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : 17H04118