The main assumption of fiber-tracking algorithms is that
fiber trajectories are represented by paths of highest
diffusion, which is usually accomplished by following the
principal diffusion directions in every voxel. The
state-of-the-art approaches known as âeurooeglobal
tractographyâeuro˝ reconstruct all the fiber tracts of the
whole brain simultaneously by solving global energy
minimization inverse problems. In this work we have
reformulated global tractography to explicitly enforce
anatomical priors in the optimization with the aim of (i)
improving the quality of reconstructions and (ii)
reducing the computation time.