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- W2369531570 abstract "In order to reduce the aliasing artifacts and noise in the reconstructed images due to under-sampling data,a sparse constrained image reconstruction algorithm is proposed for parallel magnetic resonance imaging.In this paper,first-order difference is viewed as the sparse project operator,and a parallel magnetic resonance image reconstruction algorithm restrained by anisotropic total variation minimization is researched.Meanwhile,a solution based on variable splitting method is proposed,and the effectiveness and robustness of the proposed algorithm are analyzing in some specified experimental environments.The results show that the quality of reconstructed images is evidently improved for parallel magnetic resonance imaging by the proposed method at a maximum acceleration factor." @default.
- W2369531570 created "2016-06-24" @default.
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- W2369531570 date "2013-01-01" @default.
- W2369531570 modified "2023-09-25" @default.
- W2369531570 title "Sparse Constrained Reconstruction for Parallel Magnetic Resonance Image Based on Variable Splitting Method" @default.
- W2369531570 hasPublicationYear "2013" @default.
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