Impact of the Bayesian penalized likelihood algorithm (Q.Clear®) in comparison with the OSEM reconstruction on low contrast PET hypoxic images

PURPOSE: To determine the impact of the Bayesian penalized likelihood (BPL) reconstruction algorithm in comparison to OSEM on hypoxia PET/CT images of NSCLC using (18)F-MIZO and (18)F-FAZA. MATERIALS AND METHODS: Images of low-contrasted (SBR = 3) micro-spheres of Jaszczak phantom were acquired. Twe...

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Detalles Bibliográficos
Autores principales: Texte, Edgar, Gouel, Pierrick, Thureau, Sébastien, Lequesne, Justine, Barres, Bertrand, Edet-Sanson, Agathe, Decazes, Pierre, Vera, Pierre, Hapdey, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218037/
https://www.ncbi.nlm.nih.gov/pubmed/32399752
http://dx.doi.org/10.1186/s40658-020-00300-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218037/
https://www.ncbi.nlm.nih.gov/pubmed/32399752
http://dx.doi.org/10.1186/s40658-020-00300-3

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