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• W2894900083 abstract "This study deals with reconstruction of compressed multicontrast magnetic resonance image (MRI) reconstruction using joint dictionary learning. Usually pre-determined dictionaries are used for compressed sensing reconstructions. Here, we propose an alternating-minimization based algorithm for recovering image and sparsifying transformation from only data itself. The proposed method can also be viewed as a joint multicontrast reconstruction extension of a previous blind compressive sensing algorithm [1]. For evaluation, the algorithm is compared in terms of convergence speed and image quality to both individual dictionary learning based method [1], and a joint reconstruction algorithm using pre-determined dictionaries for MRI [2]." @default.
• W2894900083 created "2018-10-12" @default.
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• W2894900083 date "2017-11-01" @default.
• W2894900083 modified "2023-09-24" @default.
• W2894900083 title "Joint Dictionary Learning Reconstruction of Compressed Multi-Contrast Magnetic Resonance Imaging" @default.
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• W2894900083 doi "https://doi.org/10.1109/biyomut.2017.8478900" @default.
• W2894900083 hasPublicationYear "2017" @default.
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