Effect of Bayesian penalty likelihood algorithm on 18F-FDG PET/CT image of lymphoma

Recently, a new Bayesian penalty likelihood (BPL) reconstruction algorithm has been applied in PET, which is expected to provide better image resolution than the widely used ordered subset expectation maximization (OSEM). The purpose of this study is to compare the differences between these two algo...

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Detalles Bibliográficos
Autores principales: Wang, Yongtao, Lin, Lejun, Quan, Wei, Li, Jinyu, Li, Weilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826614/
https://www.ncbi.nlm.nih.gov/pubmed/34864809
http://dx.doi.org/10.1097/MNM.0000000000001516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826614/
https://www.ncbi.nlm.nih.gov/pubmed/34864809
http://dx.doi.org/10.1097/MNM.0000000000001516

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