A New Algorithm to Extract the Anisotropic Conductivity Distribution of White Matter from DT-MRI

We have proposed a new algorithm to extract the anisotropic conductivity of the White Matter (WM) from the diffusion tensor magnetic resonance imaging (DT-MRI) utilizing the volume fraction of the glia, axons and partial CSF within each voxel (VF). The EEG forward problem was solved by means of the finite difference method (FDM), and served to evaluate the proposed VF algorithm. The present computer simulation results suggest that the VF algorithm incorporates the partial volume effects of the CSF and the intravoxel fiber crossing structure, both of which will affect the scalp EEG distribution.