title: Validation of the anisotropy index ellipsoidal area ratio in diffusion tensor imaging.
abstract: A new diffusion anisotropy index, ellipsoidal area ratio (EAR), was described recently and proved to be less noise-sensitive than fractional anisotropy (FA) by theory and simulation. Here we show that EAR has higher signal-to-noise ratios than FA in average diffusion tensor imaging data from 40 normal subjects. EAR was also more sensitive than FA in detecting white matter abnormalities in a patient with widespread diffuse axonal injury. Monte Carlo simulation showed that EAR's mean values are more biased by noise than FA when anisotropy is small, both for single fiber tracts and when fiber tracts cross. However, the improved signal-to-noise ratio of EAR relative to FA suggests that EAR may be a superior measure of anisotropy both in quantifying both deep white matter with relatively uniform fiber tracts and pericortical white matter structure with relatively low anisotropy and fiber crossings.
authors.affiliation: Department of Neurology and Center for Neuroscience, 4860 Y St., Suite 3700, Sacramento, CA 95817, USA. xkang@ucdavis.edu
authors.forename: Xiaojian
authors.initials: X
authors.lastname: Kang
authors.forename: Timothy J
authors.initials: TJ
authors.lastname: Herron
authors.forename: David L
authors.initials: DL
authors.lastname: Woods
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D016880:Anisotropy; D001931:Brain Mapping / Q000379:methods; D003198:Computer Simulation; D056324:Diffusion Tensor Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009010:Monte Carlo Method; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted