Robust correction of spike noise: Application to diffusion tensor imaging

Magnetic Resonance in Medicine

Volumn 62, Issue 2, 2009, Pages 510-519

  Chavez, S ^a   Storey, P ^b   Graham, S J ^c  

^a SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^b NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c ROTMAN RESEARCH INSTITUTE   (Canada)

Author keywords

Diffusion tensor imaging; Outlier detection; Ripple artifact; Spike noise

Indexed keywords

ANOMALY DETECTION; BIOMEDICAL SIGNAL PROCESSING; CLUSTERING ALGORITHMS; DIFFUSION; MAGNETIC RESONANCE IMAGING; REDUNDANCY; SIGNAL SYSTEMS; STATISTICS; TENSORS;

AUTOMATED CONTROL; DIFFUSION WEIGHTED IMAGES; ECHO PLANAR IMAGING; MATHEMATICAL FORMULATION; NOISE PROPERTIES; RIPPLE ARTIFACT; SPIKE DETECTION; SPIKE NOISE;

DIFFUSION TENSOR IMAGING;

ALGORITHM; ARTICLE; AUTOMATION; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; ECHO PLANAR IMAGING; IMAGE ANALYSIS; IMAGE QUALITY; MATHEMATICAL ANALYSIS; SIGNAL NOISE RATIO; SPIKE WAVE;

ALGORITHMS; ARTIFACTS; DIFFUSION MAGNETIC RESONANCE IMAGING; ECHO-PLANAR IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 67749096071     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22019     Document Type: Article

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