MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction.

Yang, Gang; Zhang, Li; Liu, Aiping; Fu, Xueyang; Chen, Xun; Wang, Rujing

Yang, Gang; Zhang, Li; Liu, Aiping; Fu, Xueyang; Chen, Xun; Wang, Rujing.

Afiliación

Yang G; School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China. Electronic address: yg1997@mail.ustc.edu.cn.
Zhang L; School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China; Institute of Intelligent Machines, and Hefei Institute of Physical Science, Chinese Academy Sciences, Hefei 230031, China.
Liu A; School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China. Electronic address: aipingl@ustc.edu.cn.
Fu X; School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Chen X; School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Wang R; Institute of Intelligent Machines, and Hefei Institute of Physical Science, Chinese Academy Sciences, Hefei 230031, China.

Comput Biol Med ; 167: 107605, 2023 12.

Article en En | MEDLINE | ID: mdl-37925907

Asunto(s)

Algoritmos; Imagen por Resonancia Magnética; Procesamiento de Imagen Asistido por Computador

Palabras clave

Deep unfolding network; Magnetic resonance imaging; Model-guided network; Multi-contrast; Reconstruction; Super-resolution

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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