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

PurposeThis 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 maximizati...

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Autors principals:	Mitsuaki Tatsumi, Fumihiko Soeda, Takashi Kamiya, Junpei Ueda, Daisuke Katayama, Keiko Matsunaga, Tadashi Watabe, Hiroki Kato, Noriyuki Tomiyama
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2021-08-01
Col·lecció:	Frontiers in Oncology
Matèries:	Bayesian penalized likelihood reconstruction PET quantitative imaging abdomen malignant tumor
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fonc.2021.707023/full
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