High quality diffusion acquisitions are routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is correct identification of the tract directions in each voxel. The recently proposed ODF-Fingerprinting method has been demonstrated in computer simulations and qualitative in vivo results to improve detection of fiber pairs with small crossing angles whilst maintaining fiber direction precision. Here we evaluate the performance of ODF-Fingerprinting and several other fiber direction identification algorithms quantitatively in vivo in a downsampled DWI dataset where the high resolution dataset provides a reference standard.
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