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Computational MRI with Physics-based Constraints: Application to Multi-contrast and Quantitative Imaging
Compressed sensing takes advantage of low-dimensional signal structure to reduce sampling requirements far below the Nyquist rate. In magnetic resonance imaging (MRI), this often takes the form of sparsity through wavelet transform, finite differences, and low rank extensions. Though powerful, these...
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| Gepubliceerd in: | IEEE Signal Process Mag |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7977016/ https://ncbi.nlm.nih.gov/pubmed/33746469 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/msp.2019.2940062 |
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