An information theoretic approach characterizing diffusion anisotropy in diffusion-weighted magnetic resonance images

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 2260-2263

  Metwalli, Nader S ^b,c,d   LaConte, Stephen M ^a,c,e   Hu, Xiaoping P ^a,b,e  

^a IEEE   (United States)

^b Emory University   (United States)

^c EMORY UNIVERSITY   (United States)

^d CAIRO UNIVERSITY   (Egypt)

^e Biomedical Imaging Technology Center (BITC)   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION ANISOTROPY; GRADIENT ENCODING SCHEMES; SHANNON'S ENTROPY;

BRAIN; DATA REDUCTION; GRADIENT METHODS; TENSORS; TISSUE;

MAGNETIC RESONANCE IMAGING;

ADOLESCENT; ADULT; ALGORITHM; ANISOTROPY; ARTICLE; BRAIN; CEREBROSPINAL FLUID; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; ECHOGRAPHY; EVALUATION STUDY; FEMALE; HUMAN; IMAGE ENHANCEMENT; INFORMATION SCIENCE; MALE; METHODOLOGY; MYELINATED NERVE; NERVE CELL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; ALGORITHMS; ANISOTROPY; BRAIN; CEREBROSPINAL FLUID; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION THEORY; MALE; NERVE FIBERS, MYELINATED; NEURONS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34047186635     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259870     Document Type: Conference Paper

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