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Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model
The low-rank plus sparse (L+S) decomposition model enables the reconstruction of under-sampled dynamic parallel magnetic resonance imaging (MRI) data. Solving for the low-rank and the sparse components involves non-smooth composite convex optimization, and algorithms for this problem can be categori...
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| Pubblicato in: | IEEE Trans Comput Imaging |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6867710/ https://ncbi.nlm.nih.gov/pubmed/31750391 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCI.2018.2882089 |
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