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@INPROCEEDINGS{Sforazzini:908198,
author = {Sforazzini, Francesco and Chen, Zhaolin and Baran, Jakub
and Bradley, Jason and Carey, Alexandra and Shah, N. Jon and
Egan, Gary},
title = {{MR}-based attenuation map re-alignment and motion
correction in simultaneous brain {MR}-{PET} imaging},
reportid = {FZJ-2022-02451},
year = {2017},
abstract = {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.},
month = {Apr},
date = {2017-04-18},
organization = {2017 IEEE 14th International Symposium
on Biomedical Imaging (ISBI 2017),
Melbourne (Australia), 18 Apr 2017 - 21
Apr 2017},
cin = {INM-4 / INM-11 / JARA-BRAIN},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
I:(DE-Juel1)VDB1046},
pnm = {5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)1},
doi = {10.1109/ISBI.2017.7950508},
url = {https://juser.fz-juelich.de/record/908198},
}