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@INBOOK{Buschbeck:858931,
author = {Buschbeck, Richard and Caldeira, L. and Scheins, J. and
Tellmann, L.},
title = {{CHAPTER} 12. {M}otion {C}orrection in {B}rain {MR}-{PET}},
address = {Cambridge},
publisher = {Royal Society of Chemistry},
reportid = {FZJ-2018-07767},
series = {New Developments in NMR},
pages = {259 - 272},
year = {2018},
comment = {Hybrid MR-PET Imaging / Shah, N Jon (Editor)},
booktitle = {Hybrid MR-PET Imaging / Shah, N Jon
(Editor)},
abstract = {Motion is a frequent problem in magnetic resonance-positron
emission tomography (MR-PET) acquisitions, leading to
significant degradations of the image quality. This chapter
gives an overview of this issue and potential remedies.
First, different ways of measuring the intra-scan motion are
discussed. This is sub-divided into external device-based
PET-based and MR-based motion detection and tracking. Given
that MRI-based methods can be relatively fast, they lend
themselves to retrospective as well as prospective
correction; in retrospective correction the motion
information is used to correct flawed k-space data after the
scan is completed, i.e. during reconstruction or
post-processing, whereas in prospective motion correction
the motion information is used to correct the MRI
measurement itself in real time while the scan is still
running. The goal of prospective correction is to acquire
data that are unaffected by any motion that occurs during
the measurement. Thereafter, several different motion
correction techniques are presented, which are able to
counter the negative effects of motion in both MRI and PET.},
cin = {INM-4 / INM-11 / JARA-BRAIN},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
$I:(DE-82)080010_20140620$},
pnm = {573 - Neuroimaging (POF3-573)},
pid = {G:(DE-HGF)POF3-573},
typ = {PUB:(DE-HGF)7},
doi = {10.1039/9781788013062-00259},
url = {https://juser.fz-juelich.de/record/858931},
}