A longitudinal functional analysis framework for analysis of white matter tract statistics

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

Volumn 7917 LNCS, Issue , 2013, Pages 220-231

  Yuan, Ying ^a   Gilmore, John H ^b   Geng, Xiujuan ^b   Styner, Martin A ^b,c   Chen, Kehui ^d   Wang, Jane Ling ^e   Zhu, Hongtu ^b,f  

^a ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

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

^c University of North Carolina   (United States)

^d UNIVERSITY OF PITTSBURGH   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f University of North Carolina at Chapel Hill   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COEFFICIENT FUNCTIONS; DIFFUSION PROPERTIES; FINITE SAMPLE PERFORMANCE; LONGITUDINAL IMAGING; MIXED EFFECTS MODELS; SPATIAL-TEMPORAL CORRELATION; VARYING COEFFICIENTS; WHITE-MATTER FIBER TRACTS;

DATA PROCESSING; DIFFUSION; DIFFUSION TENSOR IMAGING; ESTIMATION; FIBERS; FUNCTIONAL ANALYSIS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; SAMPLING; STATISTICAL TESTS; TENSORS; UNCERTAINTY ANALYSIS;

GRAPHICAL USER INTERFACES;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; LONGITUDINAL STUDY; MALE; METHODOLOGY; MYELINATED NERVE; NEWBORN; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFANT, NEWBORN; LONGITUDINAL STUDIES; MALE; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84901247723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_19     Document Type: Conference Paper

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