A statistical framework for the classification of tensor morphologies in diffusion tensor images

Magnetic Resonance Imaging

Volumn 24, Issue 5, 2006, Pages 569-582

  Zhu, Hongtu ^a,b   Xu, Dongrong ^a,b   Raz, Amir ^a,b   Hao, Xuejun ^a,b   Zhang, Heping ^c   Kangarlu, Alayar ^a,b   Bansal, Ravi ^a,b   Peterson, Bradley S ^a,b  

^a NewYork Presbyterian Hospital   (United States)

^b NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Degenerate tensor; Diffusion tensor; Invariant measure; Tractography

Indexed keywords

ADULT; ALGORITHM; ANISOTROPY; ARTICLE; BRAIN; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; FEMALE; HUMAN; IMAGING; MALE; MATHEMATICAL COMPUTING; MORPHOLOGY; NORMAL HUMAN; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33646843531     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2006.01.004     Document Type: Article

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