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Multidimensional Compressed Sensing MRI Using Tensor Decomposition-Based Sparsifying Transform
Compressed Sensing (CS) has been applied in dynamic Magnetic Resonance Imaging (MRI) to accelerate the data acquisition without noticeably degrading the spatial-temporal resolution. A suitable sparsity basis is one of the key components to successful CS applications. Conventionally, a multidimension...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2014
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4047014/ https://ncbi.nlm.nih.gov/pubmed/24901331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0098441 |
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