Low-dimensional-structure self-learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction

Magnetic Resonance in Medicine

Volumn 66, Issue 3, 2011, Pages 756-767

  Akçakaya, Mehmet ^a   Basha, Tamer A ^a   Goddu, Beth ^a   Goepfert, Lois A ^a   Kissinger, Kraig V ^a   Tarokh, Vahid ^b   Manning, Warren J ^a   Nezafat, Reza ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

accelerated imaging; block matching; cardiac MR; compressed sensing; coronary MRI; image reconstruction; learning algorithm

Indexed keywords

COMPRESSED SENSING; DATA ACQUISITION; ENCODING (SYMBOLS); HEART; IMAGE CODING; IMAGE ENHANCEMENT; LEARNING ALGORITHMS; MAGNETIC RESONANCE IMAGING; MEAN SQUARE ERROR; SIGNAL ENCODING; SPACE PLATFORMS;

ANATOMICAL CHARACTERISTICS; BLOCK MATCHING; CARDIAC MR; IMAGE RECONSTRUCTION METHODS; L1-NORM MINIMIZATIONS; LOW DIMENSIONAL STRUCTURE; QUANTITATIVE MEASURES; SUBJECTIVE IMAGE QUALITY;

IMAGE RECONSTRUCTION;

ADULT; ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; FEMALE; FOURIER TRANSFORMATION; HUMAN; HUMAN EXPERIMENT; IMAGE QUALITY; IMAGE RECONSTRUCTION; IN VIVO STUDY; INTERMETHOD COMPARISON; LEARNING ALGORITHM; LOW DIMENSIONAL STRUCTURE SELF LEARNING AND THRESHOLDING; MALE; NORMAL HUMAN; PROSPECTIVE STUDY; RETROSPECTIVE STUDY; RIGHT CORONARY ARTERY; THREE DIMENSIONAL IMAGING; VISUAL THRESHOLD;

EID: 80051694961     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22841     Document Type: Article

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