An efficient algorithm for dynamic MRI using low-rank and total variation regularizations

Keyphrases

• Low-rank 100%
• Total Variation Regularization 100%
• Dynamic MRI 100%
• Magnetic Resonance Imaging 50%
• MRI Data 50%
• Magnetic Resonance 50%
• Superior Performance 50%
• Model Dynamics 50%
• Convergence Rate 50%
• Energy Function 50%
• Magnetic Resonance Image Reconstruction 50%
• State-of-the-art Techniques 50%
• Original Problem 50%
• Total Variation 50%
• Reconstruction Time 50%
• Time Complexity 50%
• Reconstruction Accuracy 50%
• Multi-coil 50%
• Nuclear Norm Minimization 50%
• Primal-dual 50%
• Sparse Model 50%
• Temporal Redundancy 50%
• Non-separability 50%
• Single Coil 50%
• Nuclear Norm 50%
• Dual Form 50%
• Non-smoothness 50%

Computer Science

• Regularization 100%
• Efficient Algorithm 100%
• Total Variation 100%
• Nuclear Norm 66%
• Energy Function 33%
• Superior Performance 33%
• Time Complexity 33%
• Convergence Rate 33%
• Reconstruction Accuracy 33%
• Primal-Dual 33%
• Image Reconstruction 33%