Reconstruction of compressively sampled MR images based on a local shrinkage thresholding algorithm with curvelet transform.
To reduce the magnetic resonance imaging (MRI) data acquisition time and improve the MR image reconstruction performance, reconstruction algorithms based on the iterative shrinkage thresholding algorithm (ISTA) are widely used. However, these traditional algorithms use global threshold shrinkage, wh...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 10; pp. 2145 - 2159 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |