A novel measure of fractional anisotropy based on the tensor distribution function

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 845-852

  Zhan, Liang ^a   Leow, Alex D ^a,b   Zhu, Siwei ^c   Barysheva, Marina ^a   Toga, Arthur W ^a   McMahon, Katie L ^d   De Zubicaray, Greig I ^d   Wright, Margaret J ^e   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF QUEENSLAND   (Australia)

^e QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION PROFILES; DIFFUSION TENSOR IMAGING; DISEASE PROCESS; FIBER DIRECTION; FIBER INTEGRITY; FRACTIONAL ANISOTROPY; GRAY MATTER; HIGH-ANGULAR RESOLUTION; INDIVIDUAL FIBERS; MEAN DIFFUSIVITY; MYELINATION; PARTIAL VOLUME EFFECT;

ANGULAR DISTRIBUTION; ANISOTROPY; DIFFUSION; DISTRIBUTION FUNCTIONS; FIBERS; MEDICAL COMPUTING; PROBABILITY DISTRIBUTIONS;

TENSORS;

ALGORITHM; ANISOTROPY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ANISOTROPY; BRAIN; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84855784401     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_104     Document Type: Conference Paper

References (14)

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