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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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| Publicado no: | IEEE Signal Process Mag |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | 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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