The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection on (18)F-FDG images using a BGO-based PET/CT scanner: a phantom and clinical study

BACKGROUND: The Q.Clear algorithm is a fully convergent iterative image reconstruction technique. We hypothesize that different PET/CT scanners with distinct crystal properties will require different optimal settings for the Q.Clear algorithm. Many studies have investigated the improvement of the Q....

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Detalles Bibliográficos
Autores principales: Sadeghi, Fatemeh, Sheikhzadeh, Peyman, Farzanehfar, Saeed, Ghafarian, Pardis, Moafpurian, Yalda, Ay, Mohammadreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Young Investigators
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579211/
https://www.ncbi.nlm.nih.gov/pubmed/37843705
http://dx.doi.org/10.1186/s40658-023-00587-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579211/
https://www.ncbi.nlm.nih.gov/pubmed/37843705
http://dx.doi.org/10.1186/s40658-023-00587-y

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