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Phantom and clinical evaluation of the Bayesian penalized likelihood reconstruction algorithm Q.Clear on an LYSO PET/CT system

Q.Clear, a Bayesian penalized likelihood reconstruction algorithm for PET, was recently introduced by GE Healthcare on their PET scanners to improve clinical image quality and quantification. In this work, we determined the optimum penalization factor (beta) for clinical use of Q.Clear and compared...

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Bibliografske podrobnosti
izdano v:J Nucl Med
Main Authors: Teoh, Eugene J, McGowan, Daniel R, Macpherson, Ruth E, Bradley, Kevin M, Gleeson, Fergus V
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4558942/
https://ncbi.nlm.nih.gov/pubmed/26159585
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2967/jnumed.115.159301
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