Abstract #3099

Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging

Cheng G. Koay^1,2, Ping-Hong Yeh^2,3, John M. Ollinger², M. Okan İrfanoğlu^1,3, 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.

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