Maximum Likelihood Estimation of the Geometric Sensitivities in PET

In this work, we propose a maximum likelihood method to compute geometric and efficiency related corrections from PET emission data. In order to reduce the number of unknowns being estimated, a component and crystal based model is used for the geometric and efficiency based corrections, respectively...

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Bibliographic Details
Main Authors: Rezaei, Ahmadreza, Deller, Timothy, Wangerin, Kristen, Schramm, Georg, Jansen, Floris, Van Laere, Koen, Nuyts, Johan
Format: Conference Proceeding
Language:English
Subjects:
Crystal Efficiencies
Crystals
Geometric Sensitivities
Image reconstruction
Maximum likelihood estimation
PET
Phantoms
Positron emission tomography
Sensitivity
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Summary:In this work, we propose a maximum likelihood method to compute geometric and efficiency related corrections from PET emission data. In order to reduce the number of unknowns being estimated, a component and crystal based model is used for the geometric and efficiency based corrections, respectively. In a long acquisition of a uniform phantom scan, we show how inaccuracies in the projector or the scanner geometry can create observable artefacts in the reconstructions. Once the geometric and efficiency related corrections are re-estimated with our in-house projector the artifacts are eliminated.
ISSN:2577-0829
DOI:10.1109/NSS/MIC42101.2019.9059896