A novel low-rank model for MRI using the redundant wavelet tight frame

• Published in: Neurocomputing (Amsterdam) Vol. 289; pp. 180 - 187
• Main Authors: Chen, Zhen, Fu, Yuli, Xiang, Youjun, Xu, Junwei, Rong, Rong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 10.05.2018
• Subjects: Alternative optimization algorithm; Compressed sensing; Low-rank matrix reconstruction; MR image reconstruction; Tight frame; Alternative optimization algorithm; MR image reconstruction; Tight frame; Compressed sensing; Low-rank matrix reconstruction

The low-rank matrix reconstruction has been attracted significant interest in compressed sensing magnetic resonance imaging (CS-MRI). To the end of computability, rank is often modeled by nuclear norm. The singular value thresholding (SVT) algorithm is taken as a solver of this model, usually. Howev...