A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: Self-feeding sparse SENSE

Magnetic Resonance in Medicine

Volumn 64, Issue 4, 2010, Pages 1078-1088

  Huang, Feng ^a   Chen, Yunmei ^b   Yin, Wotao ^c   Lin, Wei ^a   Ye, Xiaojing ^b   Guo, Weihong ^d   Reykowski, Arne ^a  

^a Invivo Corporation   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c Rice University   (United States)

^d CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

Compressed sensing; g factor; Numerical algorithm; Partially parallel imaging; Prior information; Sparsity constraint

Indexed keywords

COMPRESSED SENSING; ENCODING (SYMBOLS); IMAGE DENOISING; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; MEAN SQUARE ERROR; SOLDERED JOINTS;

G FACTORS; NUMERICAL ALGORITHMS; PARALLEL IMAGING; PRIOR INFORMATION; SPARSITY CONSTRAINTS;

SIGNAL ENCODING;

ACCELERATION; ACCURACY; ALGORITHM; ARTICLE; CALIBRATION; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY ANALYSIS; SIMULATION; TECHNIQUE;

EID: 77957311066     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22504     Document Type: Article

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