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@INPROCEEDINGS{Hinz:1020570,
author = {Hinz, Carsten and Pflugfelder, Daniel and Metzner, Ralf and
Streun, Matthias and Scheins, Jürgen and Koller, Robert},
title = {{C}orrections for {Q}uantitative {I}mage {R}econstruction
with $\<i\>pheno\</i\>{PET},$ a {P}lant {D}edicated {PET}
{S}canner},
reportid = {FZJ-2024-00265},
year = {2023},
abstract = {Positron Emission Tomography (PET) allows the in vivo
measurement of transport and allocation of recently produced
photo-assimilates in plants, which are labeled with
$^{11}$C. We operate the plant dedicated system
<i>pheno</i>PET which consists of lutetium-yttrium
oxyorthosilicate crystals readout with digital Silicon
photomultiplier (Digital Photon Counter (DPC) by Phillips).
The horizontal Field-of-View (FOV) with a diameter of
180$\,$mm and a height of 200$\,$mm allows the measurements
of plants in their natural orientation. Raw data are
analyzed offline and reconstructed with Ordinary Poisson
Maximum Likelihood Expectation-Maximization (OP-MLEM)
provided by PET Reconstruction Software Toolkit (PRESTO). We
will present the implemented corrections to reconstruct
quantitative images and approaches to speed-up those image
reconstructions.},
month = {Sep},
date = {2023-09-12},
organization = {PET Electronics $\&$ Technologies
2023, Duisburg (Germany), 12 Sep 2023 -
13 Sep 2023},
subtyp = {After Call},
cin = {IBG-2},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {2171 - Biological and environmental resources for
sustainable use (POF4-217) / DPPN - Deutsches Pflanzen
Phänotypisierungsnetzwerk (BMBF-031A053A)},
pid = {G:(DE-HGF)POF4-2171 / G:(DE-Juel1)BMBF-031A053A},
typ = {PUB:(DE-HGF)24},
doi = {10.34734/FZJ-2024-00265},
url = {https://juser.fz-juelich.de/record/1020570},
}