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Low-rank and Sparse Matrix Decomposition for Accelerated Dynamic MRI with Separation of Background and Dynamic Components
PURPOSE: To apply the low-rank plus sparse (L+S) matrix decomposition model to reconstruct undersampled dynamic MRI as a superposition of background and dynamic components in various problems of clinical interest. THEORY AND METHODS: The L+S model is natural to represent dynamic MRI data. Incoherenc...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4207853/ https://ncbi.nlm.nih.gov/pubmed/24760724 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.25240 |
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