Multivariate analysis of diffusion tensor imaging data improves the detection of microstructural damage in young professional boxers

Magnetic Resonance Imaging

Volumn 26, Issue 10, 2008, Pages 1398-1405

  Chappell, Michael H ^a,b   Brown, Jennifer A ^a   Dalrymple Alford, John C ^a,b   Uluǧ, Aziz M ^c   Watts, Richard ^a,b  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b Van der Veer Institute New Zealand   (New Zealand)

^c WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Diffusion tensor imaging; Hotelling's T2 statistic; Linear discriminant analysis; Mild repetitive head injury; Multivariate analysis; Separability metric; Voxel based analysis

Indexed keywords

ADULT; ARTICLE; BOXING; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; HEAD INJURY; HUMAN; INTERMETHOD COMPARISON; MALE; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

ADULT; ALGORITHMS; BOXING; BRAIN INJURIES; CASE-CONTROL STUDIES; DIFFUSION MAGNETIC RESONANCE IMAGING; DISCRIMINANT ANALYSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MULTIVARIATE ANALYSIS; SENSITIVITY AND SPECIFICITY;

EID: 55949112708     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2008.04.004     Document Type: Article

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