著者

大内 翔平 伊藤 聡志

出版者

日本磁気共鳴医学会

雑誌

日本磁気共鳴医学会雑誌 (ISSN:09149457)

巻号頁・発行日

vol.39, no.1, pp.29-32, 2019-02-15 (Released:2019-03-18)

参考文献数

5

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Compressive sensing (CS) is an effective approach for fast magnetic resonance imaging (MRI). To improve the reconstruction accuracy and computational speed, we propose a novel deep architecture using deep learning. Experiments on MR image reconstruction demonstrate that proposed method significantly accelerates the reconstruction time, with image quality comparable to that of traditional iterative reconstruction.