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Resolving the Crossing/Kissing Fiber Ambiguity Using Functionally Informed COMMIT

  • Matteo FrigoEmail author
  • Isa Costantini
  • Rachid Deriche
  • Samuel Deslauriers-Gauthier
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

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 positives 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.

Keywords

Tractography False positives Diffusion MRI Resting state functional MRI 

Notes

Acknowledgements

The authors would like to thank Rebecca Bonham-Carter for the help in simulating resting state networks. This work received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC Advanced Grant agreement No 694665: CoBCoM–Computational Brain Connectivity Mapping).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Matteo Frigo
    • 1
    Email author
  • Isa Costantini
    • 1
  • Rachid Deriche
    • 1
  • Samuel Deslauriers-Gauthier
    • 1
  1. 1.ATHENA Project TeamInria Sophia-Antipolis Mediterranée, Université Côte D’AzurNiceFrance

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