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Frontiers of Information Technology & Electronic Engineering >> 2015, Volume 16, Issue 12 doi: 10.1631/FITEE.1400423
Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China
Abstract
Keywords
Compressed sensing (CS) ; Magnetic resonance imaging (MRI) ; Uniform discrete curvelet transform (UDCT) ; Multi-scale dictionary learning (MSDL) ; Patch-based constraint splitting augmented Lagrangian shrinkage algorithm (PB C-SALSA)
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