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Balanced Sparse Model for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
Compressed sensing has shown to be promising to accelerate magnetic resonance imaging. In this new technology, magnetic resonance images are usually reconstructed by enforcing its sparsity in sparse image reconstruction models, including both synthesis and analysis models. The synthesis model assume...
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| Vydáno v: | PLoS One |
|---|---|
| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4388626/ https://ncbi.nlm.nih.gov/pubmed/25849209 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0119584 |
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