Abstract #3407

A novel in silico phantom for microstructure, tractography and quantitative connectivity estimation

Gabriel Girard^1,2,3, Jonathan Rafael-Patino³, Raphael Truffet⁴, Marco Pizzolato^3,5, Emmanuel Caruyer⁴, and Jean-Philippe Thiran^1,2,3

¹University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ²CIBM Center for BioMedical Imaging, Lausanne, Switzerland, ³Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland, ⁴Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U-1228, Rennes, France, ⁵Technical University of Denmark, Kongens Lyngby, Denmark

In this work, we propose a novel phantom obtained from Monte-Carlo simulations of spins dynamics to improve testing and validation of DW-MRI quantitative structural connectivity. The DiSCo (Diffusion-Simulated Connectivity) phantom is composed of 16 regions of interest placed on a sphere of 1 millimeter in diameter, interconnected by 12,196 axon-like tubular fibers ranging from 1.4um to 4.2um in diameter. Its associated connectivity matrix is weighted by their cross-sectional areas. This in silico phantom, with both microscopic and macroscopic complexity, aims at improving the development and the validation of white matter connectivity estimation methods.

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