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Resolving the crossing/kissing fiber ambiguity using Functionally Informed COMMIT

Abstract : The architecture of the white matter is endowed with kissing and crossing bundles configurations. When these white matter tracts are reconstructed using diffusion MRI tractography, this systematically induces the reconstruction of many fiber tracts that are not coherent with the structure of the brain. The question on how to discriminate between true positive connections and false positive connections is the one addressed in this work. State-of-the-art techniques provide a partial solution to this problem by considering anatomical priors in the false pos-itives detection process. We propose a novel model that tackles the same issue but takes into account both structural and functional information by combining them in a convex optimization problem. We validate it on two toy phantoms that reproduce the kissing and the crossing bundles configurations, showing that through this approach we are able to correctly distinguish true positives and false positives.
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Submitted on : Thursday, August 30, 2018 - 4:06:17 PM
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Matteo Frigo, Isa Costantini, Rachid Deriche, Samuel Deslauriers-Gauthier. Resolving the crossing/kissing fiber ambiguity using Functionally Informed COMMIT. Computational Diffusion MRI 2018, Sep 2018, Granada, Spain. ⟨10.1007/978-3-030-05831-9⟩. ⟨hal-01864939⟩



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