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

Tatsumi, Mitsuaki; Soeda, Fumihiko; Kamiya, Takashi; Ueda, Junpei; Katayama, Daisuke; Matsunaga, Keiko; Watabe, Tadashi; Kato, Hiroki; Tomiyama, Noriyuki

Tatsumi, Mitsuaki; Soeda, Fumihiko; Kamiya, Takashi; Ueda, Junpei; Katayama, Daisuke; Matsunaga, Keiko; Watabe, Tadashi; Kato, Hiroki; Tomiyama, Noriyuki.

Afiliación

Tatsumi M; Department of Radiology, Osaka University Hospital, Suita, Japan.
Soeda F; Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan.
Kamiya T; Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan.
Ueda J; Department of Medical Technology, Osaka University Hospital, Suita, Japan.
Katayama D; Department of Medical Technology, Osaka University Hospital, Suita, Japan.
Matsunaga K; Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan.
Watabe T; Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan.
Kato H; Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan.
Tomiyama N; Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan.

Front Oncol ; 11: 707023, 2021.

Article en En | MEDLINE | ID: mdl-34485143

Palabras clave

Bayesian penalized likelihood reconstruction; PET; abdomen; malignant tumor; quantitative imaging

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: Japón

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