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Effects of New Bayesian Penalized Likelihood Reconstruction Algorithm on Visualization and Quantification of Upper Abdominal Malignant Tumors in Clinical FDG PET/CT Examinations

PURPOSE: This study evaluated the effects of new Bayesian penalized likelihood (BPL) reconstruction algorithm on visualization and quantification of upper abdominal malignant tumors in clinical FDG PET/CT examinations, comparing the results to those obtained by an ordered subset expectation maximiza...

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Detalles Bibliográficos
Autores principales:	Tatsumi, Mitsuaki, Soeda, Fumihiko, Kamiya, Takashi, Ueda, Junpei, Katayama, Daisuke, Matsunaga, Keiko, Watabe, Tadashi, Kato, Hiroki, Tomiyama, Noriyuki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415497/ https://www.ncbi.nlm.nih.gov/pubmed/34485143 http://dx.doi.org/10.3389/fonc.2021.707023

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