Accelerating Dynamic MRI Reconstruction Using Adaptive Sequentially Truncated Higher-Order Singular Value Decomposition.

Li, Yang; Shen, Qiannan; Jiang, Mingfeng; Zhu, Lingyan; Li, Yongming; Wang, Pin; Li, Tie-Qiang

Li, Yang; Shen, Qiannan; Jiang, Mingfeng; Zhu, Lingyan; Li, Yongming; Wang, Pin; Li, Tie-Qiang.

Afiliación

Li Y; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China.
Shen Q; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China.
Jiang M; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China.
Zhu L; The Dongfang College, Zhejiang University of Finance and Economics, Haining, China.
Li Y; College of Communication Engineering, Chongqing University, Chongqing, China.
Wang P; College of Communication Engineering, Chongqing University, Chongqing, China.
Li TQ; Institute of Informatic Engineering, China Jiliang University, Hangzhou, 310018, China.

Curr Med Imaging ; 18(7): 719-730, 2022.

Article en En | MEDLINE | ID: mdl-35240962

Asunto(s)

Algoritmos; Imagen por Resonancia Magnética; Corazón; Humanos; Imagen por Resonancia Magnética/métodos

Palabras clave

compressed sensing; dMRI; image reconstruction; low-rank tensor space structure; sequentially truncated HOSVD; tensor decomposition

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Curr Med Imaging Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Emiratos Árabes Unidos

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