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Two-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging
Compressed sensing magnetic resonance imaging (CSMRI) employs image sparsity to reconstruct MR images from incoherently undersampled K-space data. Existing CSMRI approaches have exploited analysis transform, synthesis dictionary, and their variants to trigger image sparsity. Nevertheless, the accura...
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| Yayımlandı: | Biomed Res Int |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Hindawi Publishing Corporation
2016
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5056000/ https://ncbi.nlm.nih.gov/pubmed/27747226 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2860643 |
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