Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery

IEEE Transactions on Medical Imaging

Volumn 34, Issue 12, 2015, Pages 2417-2428

  Mohsin, Yasir Q ^a   Ongie, Gregory ^b   Jacob, Mathews ^b  

^a IA United States   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

compressed sensing; denoising. non Cartesian; MRI; non local means; shrinkage

Indexed keywords

COMPRESSED SENSING; DIFFERENTIAL EQUATIONS; INVERSE PROBLEMS; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; MEDICAL PROBLEMS; SHRINKAGE;

FOURIER INVERSION; GLOBAL CRITERIA; ITERATIVE SHRINKAGE ALGORITHMS; NON LOCAL MEANS; NON-CARTESIAN; NON-LOCAL REGULARIZATION; REGULARIZATION SCHEMES; STATE OF THE ART;

ALGORITHMS;

ARTIFACT; PUNISHMENT; ALGORITHM; ANATOMY AND HISTOLOGY; BRAIN; HUMAN; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; REPRODUCIBILITY;

ALGORITHMS; BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 84960499112     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2015.2398466     Document Type: Article

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