TY  - JOUR
AU  - Chen, Zhaolin
AU  - Sforazzini, Francesco
AU  - Baran, Jakub
AU  - Close, Thomas
AU  - Shah, N. J.
AU  - Egan, Gary F.
TI  - MR-PET head motion correction based on co-registration of multicontrast MR images
JO  - Human brain mapping
VL  - 42
IS  - 13
SN  - 1065-9471
CY  - New York, NY
PB  - Wiley-Liss
M1  - FZJ-2020-01113
SP  - 4081-4091
PY  - 2021
AB  - Head motion is a major source of image artefacts in neuroimaging studies and can lead to degradation of the quantitative accuracy of reconstructed PET images. Simultaneous magnetic resonance-positron emission tomography (MR-PET) makes it possible to estimate head motion information from high-resolution MR images and then correct motion artefacts in PET images. In this article, we introduce a fully automated PET motion correction method, MR-guided MAF, based on the co-registration of multicontrast MR images. The performance of the MR-guided MAF method was evaluated using MR-PET data acquired from a cohort of ten healthy participants who received a slow infusion of fluorodeoxyglucose ([18-F]FDG). Compared with conventional methods, MR-guided PET image reconstruction can reduce head motion introduced artefacts and improve the image sharpness and quantitative accuracy of PET images acquired using simultaneous MR-PET scanners. The fully automated motion estimation method has been implemented as a publicly available web-service
LB  - PUB:(DE-HGF)16
C6  - pmid:30604898
UR  - <Go to ISI:>//WOS:000683897100002
DO  - DOI:10.1002/hbm.24497
UR  - https://juser.fz-juelich.de/record/873940
ER  -