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

Edgar Texte (1) , Pierrick Gouel (2) , Sébastien Thureau (3, 4) , Justine Lequesne (1) , Bertrand Barres , Agathe Edet-Sanson (2, 4) , Pierre Decazes (2, 4) , Pierre Vera (2, 4) , Sébastien Hapdey (4, 2)

1 CLCC Henri Becquerel - Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen
2 Service de médecine nucléaire [Rouen]
3 Département de radiothérapie et de physique médicale
4 QuantIF-LITIS - Equipe Quantification en Imagerie Fonctionnelle

To determine the impact of the Bayesian penalized likelihood (BPL) reconstruction algorithm in comparison to OSEM on hypoxia PET/CT images of NSCLC using 18F-MIZO and 18F-FAZA.

ClinicalTrials.gov, NCT02490696. Registered 1 June 2015.

Mots clés: BPL reconstruction; Hypoxia; NSCLC; PET/CT

Domaines: Sciences du Vivant [q-bio]

Edgar Texte, Pierrick Gouel, Sébastien Thureau, Justine Lequesne, Bertrand Barres, et al.. Impact of the Bayesian penalized likelihood algorithm (Q.Clear®) in comparison with the OSEM reconstruction on low contrast PET hypoxic images. EJNMMI Physics, 2020, 7 (1), pp.28. ⟨10.1186/s40658-020-00300-3⟩. ⟨hal-02922616⟩