Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning.

Chang, Chih-Wei; Gao, Yuan; Wang, Tonghe; Lei, Yang; Wang, Qian; Pan, Shaoyan; Sudhyadhom, Atchar; Bradley, Jeffrey D; Liu, Tian; Lin, Liyong; Zhou, Jun; Yang, Xiaofeng

Chang, Chih-Wei; Gao, Yuan; Wang, Tonghe; Lei, Yang; Wang, Qian; Pan, Shaoyan; Sudhyadhom, Atchar; Bradley, Jeffrey D; Liu, Tian; Lin, Liyong; Zhou, Jun; Yang, Xiaofeng.

Afiliação

Chang CW; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Gao Y; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Wang T; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Lei Y; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Wang Q; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Pan S; Department of Biomedical Informatics, Emory University, Atlanta, GA 30308, United States of America.
Sudhyadhom A; Department of Radiation Oncology, Harvard Medical School, Boston, MA 02115, United States of America.
Bradley JD; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Liu T; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Lin L; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Zhou J; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.
Yang X; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308, United States of America.

Phys Med Biol ; 67(11)2022 05 26.

Article em En | MEDLINE | ID: mdl-35545078

Assuntos

Aprendizado Profundo; Terapia com Prótons; Pré-Escolar; Feminino; Humanos; Masculino; Imagens de Fantasmas; Física; Tomografia Computadorizada por Raios X/métodos

Palavras-chave

DECT; deep learning; proton therapy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terapia com Prótons / Aprendizado Profundo Limite: Child, preschool / Female / Humans / Male Idioma: En Revista: Phys Med Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

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