Edema-informed anatomically constrained particle filter tractography - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

Edema-informed anatomically constrained particle filter tractography


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.
Fichier principal
Vignette du fichier
final.pdf (2.64 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01893110 , version 1 (11-10-2018)


  • HAL Id : hal-01893110 , version 1


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⟩
113 View
215 Download


Gmail Facebook X LinkedIn More