FRATS: Functional regression analysis of DTI tract statistics

IEEE Transactions on Medical Imaging

Volumn 29, Issue 4, 2010, Pages 1039-1049

  Zhu, Hongtu ^a   Styner, Martin ^b   Tang, Niansheng ^c   Liu, Zhexing ^b   Lin, Weili ^b   Gilmore, John H ^b  

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

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

^c YUNNAN UNIVERSITY   (China)

Author keywords

Diffusion tensor imaging; Fiber bundle; Functional regression; Global test statistic; Registration

Indexed keywords

BRAIN DEVELOPMENT; CLINICAL STUDY; CORPUS CALLOSUM; COVARIATES; DIFFUSION PROPERTIES; DIFFUSION TENSOR; DIFFUSION TENSOR IMAGING; EIGENVALUES; FIBER BUNDLE; FIBER BUNDLES; FRACTIONAL ANISOTROPY; FUNCTIONAL REGRESSION; FUNCTIONAL REGRESSION ANALYSIS; GENETIC FACTORS; GESTATIONAL AGE; IN-VIVO; INDIVIDUAL FIBERS; INFINITE DIMENSIONAL; INTERNAL CAPSULES; JOINT EFFECT; LINEAR MODEL; MEAN DIFFUSIVITY; NEURODEVELOPMENT; NEUROPSYCHIATRIC DISORDER; POLYNOMIAL KERNELS; REAL APPLICATIONS; RESAMPLING METHOD; TESTING HYPOTHESIS; TISSUE PROPERTIES; WHITE MATTER FIBERS;

DIFFUSION; EIGENVALUES AND EIGENFUNCTIONS; FIBERS; REGRESSION ANALYSIS; STATISTICAL TESTS; STATISTICS;

TENSORS;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77950396970     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2040625     Document Type: Article

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