An efficient algorithm for compressed MR imaging using total variation and wavelets

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Ma, Shiqian ^a   Yin, Wotao ^b   Zhang, Yin ^b   Chakraborty, Amit ^c  

^a Columbia University ^*  (United States)

^b RICE UNIVERSITY   (United States)

^c SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; CURVE FITTING; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; FOURIER TRANSFORMS; IMAGE ENHANCEMENT; IMAGE PROCESSING; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL OPERATORS; PATTERN RECOGNITION; RISK ASSESSMENT; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; TREES (MATHEMATICS); WAVELET TRANSFORMS;

COMPRESSED SENSING; EFFICIENT ALGORITHMS; LARGE DATA SETS; LEAST SQUARES; MR IMAGING; MRI SCAN; MULTIDISCIPLINARY FIELD; NON-SMOOTH FUNCTIONS; OPERATOR-SPLITTING; REAL-LIFE APPLICATIONS; TOTAL VARIATION;

SET THEORY;

EID: 51949114453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587391     Document Type: Conference Paper

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