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Reference-Guided Sparsifying Transform Design for Compressive Sensing MRI
Compressive sensing (CS) MRI aims to accurately reconstruct images from undersampled k-space data. Most CS methods employ analytical sparsifying transforms such as total-variation and wavelets to model the unknown image and constrain the solution space during reconstruction. Recently, nonparametric...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3769212/ https://ncbi.nlm.nih.gov/pubmed/22255638 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IEMBS.2011.6091384 |
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