An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease

NeuroImage

Volumn 72, Issue , 2013, Pages 153-163

  Keihaninejad, Shiva ^a,b   Zhang, Hui ^b   Ryan, Natalie S ^a   Malone, Ian B ^a   Modat, Marc ^a,b   Cardoso, M Jorge ^a,b   Cash, David M ^a,b   Fox, Nick C ^a   Ourselin, Sebastien ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Diffusion tensor imaging; Neurodegenerative diseases; Reliability and precision; Unbiased longitudinal image processing; Within subject template

Indexed keywords

ACCURACY; ADULT; ALZHEIMER DISEASE; ARTICLE; BOOTSTRAPPING; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; DISEASE COURSE; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; IMAGE ALIGNMENT; IMAGE PROCESSING; MALE; NEUROIMAGING; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; WHITE MATTER;

AGED; ALZHEIMER DISEASE; ANISOTROPY; BRAIN; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; DISEASE PROGRESSION; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; NERVE FIBERS, MYELINATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84874386546     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.01.044     Document Type: Article

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