Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (<i>k</i>, <i>t</i>)-Space MR Data

Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (<i>k</i>, <i>t</i>)-Space MR Data

The discrete shearlet transformation accurately represents the discontinuities and edges occurring in magnetic resonance imaging, providing an excellent option of a sparsifying transform. In the present paper, we examine the use of discrete shearlets over other sparsifying transforms in a low-rank p...

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Bibliographic Details
Main Authors: Nicholas E. Protonotarios, Evangelia Tzampazidou, George A. Kastis, Nikolaos Dikaios
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Journal of Imaging
Subjects:
MRI
image reconstruction
robust principal component analysis (RPCA)
discrete shearlet transform
low-rank plus sparse decomposition
dynamic contrast enhanced (DCE)
Online Access:https://www.mdpi.com/2313-433X/8/2/29

Internet

https://www.mdpi.com/2313-433X/8/2/29

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