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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056000/ https://www.ncbi.nlm.nih.gov/pubmed/27747226 http://dx.doi.org/10.1155/2016/2860643 |