An automatic method to generate voxel-based absorbed doses from radioactivity distributions for nuclear medicine using generative adversarial networks: a feasibility study.

Lin, Hui; Guo, Xin; Jing, Jia; Mao, Xiaoli; Yang, Yuanjun; Hu, Min

Lin, Hui; Guo, Xin; Jing, Jia; Mao, Xiaoli; Yang, Yuanjun; Hu, Min.

Afiliação

Lin H; School of Physics, Hefei University of Technology, Hefei, 230009, China. huilin@hfut.edu.cn.
Guo X; School of Physics, Hefei University of Technology, Hefei, 230009, China.
Jing J; School of Physics, Hefei University of Technology, Hefei, 230009, China.
Mao X; School of Physics, Hefei University of Technology, Hefei, 230009, China.
Yang Y; School of Physics, Hefei University of Technology, Hefei, 230009, China.
Hu M; School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, 230009, China. jsjxhumin@hfut.edu.cn.

Phys Eng Sci Med ; 45(3): 971-980, 2022 Sep.

Article em En | MEDLINE | ID: mdl-35763194

Assuntos

Medicina Nuclear; Radioatividade; Estudos de Viabilidade; Humanos; Cintilografia

Palavras-chave

Activity heterogeneous distribution; Automatic method; Nuclear medicine dosimetry; Voxel-based absorbed dose

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radioatividade / Medicina Nuclear Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google