A singular K-space model for fast reconstruction of magnetic resonance images from undersampled data.
Reconstructing magnetic resonance images from undersampled k-space data is a challenging problem. This paper introduces a novel method of image reconstruction from undersampled k-space data based on the concept of singularizing operators and a novel singular k-space model. Exploring the sparsity of...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 7; pp. 1211 - 1226 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |