Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical (18)F-FDG PET/CT

BACKGROUND: Recently, a Bayesian penalized likelihood (BPL) reconstruction algorithm was introduced for a commercial PET/CT with the potential to improve image quality. We compared the performance of this BPL algorithm with conventional reconstruction algorithms under realistic clinical conditions s...

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Bibliografske podrobnosti
izdano v:EJNMMI Phys
Main Authors: te Riet, Joost, Rijnsdorp, Sjoerd, Roef, Mark J., Arends, Albert J.
Format: Artigo
Jezik:Inglês
Izdano: Springer International Publishing 2019
Teme:
Original Research
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6937357/
https://ncbi.nlm.nih.gov/pubmed/31889228
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40658-019-0262-y
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