Deep Learning-Based Delayed PET Image Synthesis from Corresponding Early Scanned PET for Dosimetry Uptake Estimation.

Kim, Kangsan; Byun, Byung Hyun; Lim, Ilhan; Lim, Sang Moo; Woo, Sang-Keun

Kim, Kangsan; Byun, Byung Hyun; Lim, Ilhan; Lim, Sang Moo; Woo, Sang-Keun.

Afiliação

Kim K; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
Byun BH; Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
Lim I; Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
Lim SM; Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
Woo SK; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.

Diagnostics (Basel) ; 13(19)2023 Sep 25.

Article em En | MEDLINE | ID: mdl-37835788

Palavras-chave

18F-FDG; deep learning; diagnostic radiopharmaceutical; functional imaging; generative adversarial network; image-to-image translation; internal dosimetry; positron emission tomography; standardized uptake value

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article