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Abstract #3407

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

Gabriel Girard1,2,3, Jonathan Rafael-Patino3, Raphael Truffet4, Marco Pizzolato3,5, Emmanuel Caruyer4, and Jean-Philippe Thiran1,2,3
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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