On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure
On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure
The growing importance of diffusion tensor imaging (DTI) in studying the white matter architecture in normal and pathologic states necessitates the development of tools for comprehensive analysis of diffusion tensor data. Operations such as multivariate statistical analysis and hypothesis testing, interpolation and filtering, must now be performed on tensor data, …