A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features

Medical Image Analysis

Volumn 17, Issue 7, 2013, Pages 830-843

  Merlet, Sylvain ^a   Caruyer, Emmanuel ^b   Ghosh, Aurobrata ^a   Deriche, Rachid ^a  

^a INRIA   (France)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Dictionary learning; Diffusion MRI; Ensemble average propagator; Orientation distribution function; Sparse reconstruction

Indexed keywords

DICTIONARY LEARNING; DIFFUSION MRIS; ENSEMBLE AVERAGES; ORIENTATION DISTRIBUTION FUNCTION; SPARSE RECONSTRUCTION;

DIFFUSION; MAGNETIC RESONANCE IMAGING;

RECOVERY;

ACCURACY; ARTICLE; BRAIN; DIFFUSION WEIGHTED IMAGING; HUMAN; LEARNING ALGORITHM; MEASUREMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PARAMETRIC DICTIONARY LEARNING; PRIORITY JOURNAL; SIGNAL NOISE RATIO; TRACTOGRAPHY;

DICTIONARY LEARNING; DIFFUSION MRI; ENSEMBLE AVERAGE PROPAGATOR; ORIENTATION DISTRIBUTION FUNCTION; SPARSE RECONSTRUCTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84879889631     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.04.011     Document Type: Article

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