Information-theoretic analysis of brain white matter fiber orientation distribution functions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4584 LNCS, Issue , 2007, Pages 172-182

  Chiang, Ming Chang ^a   Klunder, Andrea D ^a   McMahon, Katie ^b   De Zubicaray, Greig I ^b   Wright, Margaret J ^c   Toga, Arthur W ^a   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c ROYAL BRISBANE AND WOMEN'S HOSPITAL   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; DISTRIBUTION FUNCTIONS; INFORMATION THEORY; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION;

BRAIN WHITE MATTER; HIGH ANGULAR RESOLUTION DIFFUSION IMAGING (HARDI); MULTISUBJECT STATISTICAL ANALYSIS; SPHERICAL HARMONIC SERIES;

IMAGE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; INFORMATION SCIENCE; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; INFORMATION THEORY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 34548452590     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_15     Document Type: Conference Paper

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