Denoising of 3D magnetic resonance images by using higher-order singular value decomposition

Medical Image Analysis

Volumn 19, Issue 1, 2015, Pages 75-86

  Zhang, Xinyuan ^a   Xu, Zhongbiao ^a   Jia, Nan ^a   Yang, Wei ^a   Feng, Qianjin ^a   Chen, Wufan ^a   Feng, Yanqiu ^a  

^a SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

Higher order singular value decomposition; MR; Nonlocal methods; Sparseness; Volume data denoising

Indexed keywords

HIGHER ORDER SINGULAR VALUE DECOMPOSITION; MR; NONLOCAL METHODS; SPARSENESS; VOLUME DATA;

ALGORITHM; ARTICLE; BRAIN; COMPUTER PROGRAM; DENOISING; HIGHER ORDER SINGULAR VALUE DECOMPOSITION; HUMAN; HUMAN EXPERIMENT; KERNEL METHOD; NOISE; NOISE REDUCTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; OSCILLATION; RADIOLOGICAL PROCEDURES; THREE DIMENSIONAL IMAGING; ANATOMY AND HISTOLOGY; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO;

ALGORITHMS; ARTIFACTS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL-TO-NOISE RATIO;

EID: 84908299126     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.08.004     Document Type: Article

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