Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures

Authors:
Casey B. Goodlett;P. Thomas Fletcher;John H. Gilmore;Guido Gerig
Affiliations:
School of Computing, University of Utah, and Scientific Computing and Imaging Institute, University of Utah,;School of Computing, University of Utah, and Scientific Computing and Imaging Institute, University of Utah,;Department of Psychiatry, University of North Carolina,;School of Computing, University of Utah, and Scientific Computing and Imaging Institute, University of Utah,
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

We present a framework for hypothesis testing of differences between groups of DTI fiber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the distribution of diffusion properties. The parametrization of sampled, smooth functions is normalized across a population using DTI atlas building. Functional data analysis, an extension of multivariate statistics to continuous functions is applied to the problem of hypothesis testing and discrimination. B-spline models of fractional anisotropy (FA) and Frobenius norm measures are analyzed jointly. Plots of the discrimination direction provide a clinical interpretation of the group differences. The methodology is tested on a pediatric study of subjects aged one and two years.