A unified optimization approach for diffusion tensor imaging technique

NeuroImage

Volumn 44, Issue 3, 2009, Pages 729-741

  Gao, Wei ^a   Zhu, Hongtu ^b   Lin, Weili ^c  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

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

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

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; MONTE CARLO METHOD; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

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

EID: 57649240255     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.10.004     Document Type: Article

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