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Sparse MR Image Reconstruction Considering Rician Noise Models: A CNN Approach
Compressive sensing (CS) provides a potential platform for acquiring slow and sequential data, as in magnetic resonance (MR) imaging. However, CS requires high computational time for reconstructing MR images from sparse k-space data, which restricts its usage for high speed online reconstruction and...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417787/ https://www.ncbi.nlm.nih.gov/pubmed/32836885 http://dx.doi.org/10.1007/s11277-020-07725-0 |