Dual Tensor Atlas Generation Based on a Cohort of Coregistered non-HARDI Datasets

We propose a method to create a dual tensor atlas from multiple coregistered non-HARDI datasets. Increased angular resolution is ensured by random variations of subject positioning in the scanner and different local rotations applied during coregistration resulting in dispersed gradient directions. Simulations incorporating residual coregistration misalignments show that using 10 subjects should already double the angular resolution, even at a relatively low b-value of b = 1000 smm(-2). Commisural corpus callosum fibers reconstructed by our method closely approximated those found in a HARDI dataset.