Improving synthesis and analysis prior blind compressed sensing with low-rank constraints for dynamic MRI reconstruction

Magnetic Resonance Imaging

Volumn 33, Issue 1, 2015, Pages 174-179

  Majumdar, Angshul ^a  

^a INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Blind compressed sensing; Dynamic MRI reconstruction; Matrix recovery; Split Bregman

Indexed keywords

ALGORITHM; ARTICLE; BLIND COMPRESSED SENSING; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DYNAMIC CONTRAST ENHANCED NUCLEAR MAGNETIC RESONANCE IMAGING; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MEASUREMENT ACCURACY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SPLIT BREGMAN ALGORITHM; ANIMAL; BREAST TUMOR; CALIBRATION; CANCER TRANSPLANTATION; COMPUTER PROGRAM; FEMALE; FOURIER ANALYSIS; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MOUSE; PATHOLOGY; REPRODUCIBILITY;

ALGORITHMS; ANIMALS; BREAST NEOPLASMS; CALIBRATION; DATA COMPRESSION; FEMALE; FOURIER ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MICE; NEOPLASM TRANSPLANTATION; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84926371251     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2014.08.031     Document Type: Article

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