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In this paper, we present an approach for building paths representing the anatomical connections between some given regions of the brain. The method combines Diffusion Tensor Imaging (DTI) and Fast Marching techniques, representing an anatomical connection as the shortest path for some global minimization criterion. Paths are generated by growing level sets, looking for saddle points and back-propagating. We show that this method leads to a more robust connection tracking that efficiently deals with fiber crossing. Results on simulations are shown as an illustration. © 2004 IEEE.


Conference paper

Publication Date





1024 - 1027