Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors
Abstract Background The aim of this study was to evaluate and compare PET image reconstruction algorithms on novel digital silicon photomultiplier PET/CT in patients with newly diagnosed and histopathologically confirmed lung cancer. A total of 45 patients undergoing 18F-FDG PET/CT for initial lung...
Main Authors: | Michael Messerli, Paul Stolzmann, Michèle Egger-Sigg, Josephine Trinckauf, Stefano D’Aguanno, Irene A. Burger, Gustav K. von Schulthess, Philipp A. Kaufmann, Martin W. Huellner |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-09-01
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Series: | EJNMMI Physics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40658-018-0223-x |
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