Non-convex algorithm for sparse and low-rank recovery: Application to dynamic MRI reconstruction

Magnetic Resonance Imaging

Volumn 31, Issue 3, 2013, Pages 448-455

  Majumdar, Angshul ^a   Ward, Rabab K ^a   Aboulnasr, Tyseer ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Compressed Sensing; Low rank matrix completion; Offline dynamic MRI reconstruction; Sparse recovery

Indexed keywords

ARTICLE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84875244062     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2012.08.011     Document Type: Article

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