An image-processing toolset for diffusion tensor tractography

Magnetic Resonance Imaging

Volumn 25, Issue 3, 2007, Pages 365-376

  Mishra, Arabinda ^a   Lu, Yonggang ^a   Choe, Ann S ^a,b   Aldroubi, Akram ^a   Gore, John C ^a   Anderson, Adam W ^a,b   Ding, Zhaohua ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Bayesian tensor regularization; Bundling; Diffusion tensor imaging; Fiber tractography; Interpolation; Smoothing

Indexed keywords

ANIMAL TISSUE; ANISOTROPY; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; FIBER TRACTOGRAPHY; HUMAN; HUMAN EXPERIMENT; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE PROCESSING; IN VIVO STUDY; NERVE CELL NETWORK; NERVE FIBER; NERVE TRACT; NEUROIMAGING; NONHUMAN; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS DEVELOPMENT; RELIABILITY; SIGNAL NOISE RATIO;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NERVE NET; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 33947145711     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2006.10.006     Document Type: Article

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