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Low-Rank and Sparse Decomposition Model for Accelerating Dynamic MRI Reconstruction
The reconstruction of dynamic magnetic resonance imaging (dMRI) from partially sampled k-space data has to deal with a trade-off between the spatial resolution and temporal resolution. In this paper, a low-rank and sparse decomposition model is introduced to resolve this issue, which is formulated a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591906/ https://www.ncbi.nlm.nih.gov/pubmed/29093806 http://dx.doi.org/10.1155/2017/9856058 |