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

Inferring the Localization of White-Matter Tracts using Diffusion Driven Label Fusion