SARU: A self-attention ResUNet to generate synthetic CT images for MR-only BNCT treatment planning.

Zhao, Sheng; Geng, Changran; Guo, Chang; Tian, Feng; Tang, Xiaobin

Zhao, Sheng; Geng, Changran; Guo, Chang; Tian, Feng; Tang, Xiaobin.

Afiliação

Zhao S; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People's Republic of China.
Geng C; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People's Republic of China.
Guo C; Key Laboratory of Nuclear Technology Application and Radiation Protection in Astronautics (Nanjing University of Aeronautics and Astronautics), Ministry of Industry and Information Technology, Nanjing, People's Republic of China.
Tian F; Department of Radiation Oncology, Jiangsu Cancer Hospital, Nanjing, People's Republic of China.
Tang X; Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People's Republic of China.

Med Phys ; 50(1): 117-127, 2023 Jan.

Article em En | MEDLINE | ID: mdl-36129452

Assuntos

Terapia por Captura de Nêutron de Boro; Humanos; Estudos Retrospectivos; Planejamento da Radioterapia Assistida por Computador/métodos; Imageamento por Ressonância Magnética/métodos; Tomografia Computadorizada por Raios X/métodos; Dosagem Radioterapêutica; Espectroscopia de Ressonância Magnética

Palavras-chave

boron neutron capture therapy; deep learning; synthetical computerized tomography

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia por Captura de Nêutron de Boro Limite: Humans Idioma: En Revista: Med Phys Ano de publicação: 2023 Tipo de documento: Article

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