Edema-informed anatomically constrained particle filter tractography

Abstract : In this work, we propose an edema-informed anatomically constrained tractography paradigm that enables reconstructing larger spatial extent of white matter bundles as well as increased cortical coverage in the presence of edema. These improvements will help surgeons maximize the extent of the resection while minimizing the risk of cogni-tive deficits. The new paradigm is based on a segmentation of the brain into gray matter, white matter, corticospinal fluid, edema and tumor regions which utilizes a tumor growth model. Using this segmentation, a valid tracking domain is generated and, in combination with anatomically constrained particle filter tractography, allows streamlines to cross the edema region and reach the cortex. Using subjects with brain tumors, we show that our edema-informed anatomically constrained tractogra-phy paradigm increases the cortico-cortical connections that cross edema-contaminated regions when compared to traditional fractional anisotropy thresholded tracking.
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https://hal.inria.fr/hal-01893110
Contributor : Samuel Deslauriers-Gauthier <>
Submitted on : Thursday, October 11, 2018 - 11:28:09 AM
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Samuel Deslauriers-Gauthier, Drew Parker, Francois Rheault, Rachid Deriche, Steven Brem, et al.. Edema-informed anatomically constrained particle filter tractography. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Sep 2018, Granada, Spain. ⟨hal-01893110⟩

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