%0 Conference Paper
%A Sforazzini, Francesco
%A Chen, Zhaolin
%A Baran, Jakub
%A Bradley, Jason
%A Carey, Alexandra
%A Shah, N. Jon
%A Egan, Gary
%T MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging
%M FZJ-2022-02451
%D 2017
%X Abstract:Head movement is a major issue in dynamic PET imaging. A simultaneous MR-PET scanner is capable of acquiring both MR and PET data concurrently, which enables opportunities to use MR information for PET motion correction. Here we propose an MR-based method to detect head motion and to correct motion artefacts during PET image reconstruction. The method is based on co-registration of multiple MR contrasts to extract motion parameters. The motion parameters are then used to guide the Multiple Acquisition Frame (MAF) algorithm to bin the PET list-mode data into multiple frames whenever significant motion occurs. Furthermore, motion parameters are used to re-align the PET attenuation u-map to each frame prior to the image reconstruction. Finally, PET images are reconstructed for each frame and combined to produce a final image. Using both phantom and in-vivo human data, we show that this method can significantly increase image quality and reduce motion artefacts.
%B 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
%C 18 Apr 2017 - 21 Apr 2017, Melbourne (Australia)
Y2 18 Apr 2017 - 21 Apr 2017
M2 Melbourne, Australia
%F PUB:(DE-HGF)1
%9 Abstract
%R 10.1109/ISBI.2017.7950508
%U https://juser.fz-juelich.de/record/908198