Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors

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 cancer s...

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Detalles Bibliográficos
Autores principales: Messerli, Michael, Stolzmann, Paul, Egger-Sigg, Michèle, Trinckauf, Josephine, D’Aguanno, Stefano, Burger, Irene A., von Schulthess, Gustav K., Kaufmann, Philipp A., Huellner, Martin W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156690/
https://www.ncbi.nlm.nih.gov/pubmed/30255439
http://dx.doi.org/10.1186/s40658-018-0223-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156690/
https://www.ncbi.nlm.nih.gov/pubmed/30255439
http://dx.doi.org/10.1186/s40658-018-0223-x

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