Towards a high-density packing white matter substrate generator for Monte-Carlo simulations
Juan Luis Villarreal Haro1, Remy Gardier1, Erick J Canales-Rodríguez1, Gabriel Girard1,2,3, Jean-Philippe Thiran1,2,3, and Jonathan Rafael-Patino1,3
1Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2CIBM, Center for Biomedical Imaging, Lausanne, Switzerland, 3Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
One main goal of Diffusion-Weighted Magnetic Resonance Imaging is to infer microscopic tissue properties from the measured signal. The use of Monte-Carlo Simulations for DW-MRI on realistic substrates will help the study of DWI-MRI signals in controlled environments and to investigate, extract, and validate approaches for the understanding of white matter features. In this work, we present a novel framework for creating complex white matter phantoms with unprecedented characteristics like high packing density greater than 90% intra-axonal volume fraction and voxel size of (140 um)3.
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