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@INBOOK{Lerche:858929,
author = {Lerche, Christoph and Felder, J. and Choi, C.-H.},
title = {{CHAPTER} 10. {MR}-{PET} {I}nstrumentation},
address = {Cambridge},
publisher = {Royal Society of Chemistry},
reportid = {FZJ-2018-07765},
series = {New Developments in NMR},
pages = {214 - 228},
year = {2018},
comment = {Hybrid MR-PET Imaging / Shah, N Jon (Editor)},
booktitle = {Hybrid MR-PET Imaging / Shah, N Jon
(Editor)},
abstract = {The combination of several imaging modalities into a hybrid
device has enabled a straightforward and accurate solution
for the investigation of multiparametric processes in vivo.
All existing imaging modalities have both strengths and
weaknesses. For instance, computed tomography (CT) is an
excellent modality for imaging bones. Magnetic resonance
tomography images the effects of a manifold of interaction
mechanisms between the spin ensemble and/with its
environment and other nuclei. The differences in these
interactions depend much more on the tissue type, its
microscopic environment and interactions at the quantum
level and therefore MR images provide a wide variety of
superior soft tissue contrasts. Gamma scintigraphy, single
photon emission computed tomography and positron emission
tomography detect single radioactive decays from tagged
molecules and can infer the spatial position of the decays
from a few thousand decays. Thus, the sensitivity of these
modalities is very high, but the spatial resolution is very
low. Instead of pushing CT and MRI technology towards
molecular imaging and positron emission tomography (PET)
technology towards structural imaging, a much more promising
approach is to further optimise the strengths of these
modalities by combining them into hybrid devices. The
combination of MRI and PET has been the second bi-modality,
which resulted in commercially available hybrid scanners for
animal and human imaging. In this chapter, the most
important mutual interferences of PET and MRI, together with
technical solutions for minimising them, are presented and
discussed.},
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 = {10.1039/9781788013062-00214},
url = {https://juser.fz-juelich.de/record/858929},
}