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@INBOOK{Scheins:858926,
author = {Scheins, Jürgen and Kops, E. Rota and Caldeira, L. and Ma,
B.},
title = {{CHAPTER} 7. {PET} {Q}uantification},
address = {Cambridge},
publisher = {Royal Society of Chemistry},
reportid = {FZJ-2018-07762},
series = {New Developments in NMR},
pages = {162 - 182},
year = {2018},
comment = {Hybrid MR-PET Imaging / Shah, N Jon (Editor)},
booktitle = {Hybrid MR-PET Imaging / Shah, N Jon
(Editor)},
abstract = {A major benefit of the three-dimensional (3D) PET imaging
technique in neuroscience, as well as in clinical
applications, is that it offers the possibility of
dynamically quantifying metabolic processes with a
sensitivity of up to 10−12 mol L−1 for the tracer
concentration. However, all positron emission tomographs
provide biased data with complex dependencies, which means
that to obtain quantitative activity distributions in 3D, it
is necessary to make several corrections. For example,
inhomogeneous detector efficiencies, photon attenuation,
Compton scattering, and random coincidences need to be
corrected. Furthermore, dynamic imaging represents a
challenge, because a high temporal resolution requires short
acquisition time frames with rather poor statistics of
recorded events from the radioactive decay. Apart from the
necessary corrections, the applied reconstruction method has
an important impact on the achievable image quality in PET.
In this respect, iterative reconstruction methods are
becoming the state-of-the-art techniques as they offer
superior image quality when compared to analytical methods.
Although iterative reconstruction is associated with higher
computational demand, the higher calculation effort can be
moderated by using a range of optimisation strategies and
has been further helped by the remarkable boost in
computational resources over the last two decades.},
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 = {10.1039/9781788013062-00162},
url = {https://juser.fz-juelich.de/record/858926},
}