Cheng G. Koay1,2, Ping-Hong Yeh2,3, John M. Ollinger2, M. Okan İrfanoğlu1,3, Carlo Pierpaoli1, Peter J. Basser1, Terrence R. Oakes2, and Gerard Riedy2
1Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States, 2National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, United States, 3The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
The purpose of the proposed framework is to carry out single-subject analysis of diffusion tensor imaging
(DTI) data. This framework is termed Tract
Orientation and Angular Dispersion Deviation Indicator (TOADDI). It is capable of testing whether an
individual tract as represented by the major eigenvector of the diffusion
tensor and its corresponding angular dispersion are significantly different
from a group of tracts on a voxel-by-voxel basis. This work develops two complementary
statistical tests (orientation and shape tests) based on the elliptical cone of uncertainty, which is a model
of uncertainty or dispersion of the major eigenvector of the diffusion tensor.
