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

Internet

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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