  Inferring which pathways are affected by a brain lesion is key for both pre
and post-treatment planning. However, many disruptive lesions cause changes in
the tissue that interrupt tractography algorithms. In such cases, aggregating
information from healthy subjects can provide a solution to inferring the
affected pathways. In this paper, we introduce a novel label fusion technique
that leverages diffusion information to locate brain pathways. Through
simulations and experiments in publicly available data we show that our method
is able to correctly reconstruct brain pathways, even if they are affected by a
focal lesion.
