Cortical correspondence with probabilistic fiber connectivity

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

Volumn 5636 LNCS, Issue , 2009, Pages 651-663

  Oguz, Ipek ^a   Niethammer, Marc ^a,b   Cates, Josh ^c   Whitaker, Ross ^c   Fletcher, Thomas ^c   Vachet, Clement ^b   Styner, Martin ^a,b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORTICAL SURFACES; CORTICAL THICKNESS; DEPTH MEASUREMENTS; FIBER CONNECTIVITY; NOVEL METHODS; POINT-BASED; SIMILARITY METRICS; SPATIAL METRICS; SPATIAL PROXIMITY; SPHERICAL PARAMETERIZATION; SURFACE ENTROPIES; SURFACE EVOLUTION; TRACTOGRAPHY;

DATA PROCESSING;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349324504     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_54     Document Type: Conference Paper

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