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MICCAI
2005
Springer

Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis

10 years 26 days ago
Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis
Diffusion tensor imaging (DTI) has become the major modality to study properties of white matter and the geometry of fiber tracts of the human brain. Clinical studies mostly focus on regional statistics of fractional anisotropy (FA) and mean diffusivity (MD) derived from tensors. Existing analysis techniques do not sufficiently take into account that the measurements are tensors, and thus require proper interpolation and statistics based on tensors, and that regions of interest are fiber tracts with complex spatial geometry. We propose a new framework for quantitative tract-oriented DTI analysis that includes tensor interpolation and averaging, using nonlinear Riemannian symmetric space. As a result, tracts of interest are represented by the geometry of the medial spine attributed with tensor statistics calculated within cross-sections. Examples from a clinical neuroimaging study of the early developing brain illustrate the potential of this new method to assess white matter fiber matu...
Isabelle Corouge, P. Thomas Fletcher, Sarang C. Jo
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2005
Where MICCAI
Authors Isabelle Corouge, P. Thomas Fletcher, Sarang C. Joshi, John H. Gilmore, Guido Gerig
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