Ordered subset expectation maximisation vs Bayesian penalised likelihood reconstruction algorithm in 18F-PSMA-1007 PET/CT

BACKGROUND: The aim of the study was to compare widely used ordered subset expectation maximisation (OSEM) algorithm with a new Bayesian penalised likelihood (BPL) Q.Clear algorithm in 18F-PSMA-1007 PET/CT. METHODS: We retrospectively assessed 25 18F-PSMA-1007 PET/CT scans with both OSEM and Q.Clear...

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Detalles Bibliográficos
Autores principales: Witkowska-Patena, Ewa, Budzyńska, Anna, Giżewska, Agnieszka, Dziuk, Mirosław, Walęcka-Mazur, Agata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033087/
https://www.ncbi.nlm.nih.gov/pubmed/31902120
http://dx.doi.org/10.1007/s12149-019-01433-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033087/
https://www.ncbi.nlm.nih.gov/pubmed/31902120
http://dx.doi.org/10.1007/s12149-019-01433-x

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