Poster (After Call)

FZJ-2024-00265

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Corrections for Quantitative Image Reconstruction with <i>pheno</i>PET, a Plant Dedicated PET Scanner

Hinz, C. (Corresponding author)FZJ* ; Pflugfelder, D.FZJ* ; Metzner, R.FZJ* ; Streun, M.FZJ* ; Scheins, J.FZJ* ; Koller, R.FZJ*

2023

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Please use a persistent id in citations: doi:10.34734/FZJ-2024-00265

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.

Keyword(s): Biology (2nd) ; Instrument and Method Development (2nd)

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Contributing Institute(s):

1. Pflanzenwissenschaften (IBG-2)

Research Program(s):

1. 2171 - Biological and environmental resources for sustainable use (POF4-217) (POF4-217)
2. DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A) (BMBF-031A053A)

Appears in the scientific report 2023

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Database coverage:

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