%0 Journal Article
%A Chen, Zhaolin
%A Sforazzini, Francesco
%A Baran, Jakub
%A Close, Thomas
%A Shah, N. J.
%A Egan, Gary F.
%T MR-PET head motion correction based on co-registration of multicontrast MR images
%J Human brain mapping
%V 42
%N 13
%@ 1065-9471
%C New York, NY
%I Wiley-Liss
%M FZJ-2020-01113
%P 4081-4091
%D 2021
%X 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
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:30604898
%U <Go to ISI:>//WOS:000683897100002
%R 10.1002/hbm.24497
%U https://juser.fz-juelich.de/record/873940