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Abstract #3025

A step forward to improve large numerical phantoms at the microstructure level using CACTUS

Juan Luis Villarreal Haro1, Remy Marc Gardier1, Erick Jorge Canales-Rodríguez1, Gabriel Girard1,2, Jean-Philippe Thiran1,3,4, and Jonathan Rafael Patino1,4
1Signal Processing Laboratory (LTS5), École polytechnique fédérale de Lausanne, Lausanne, Switzerland, 2Department of Computer Science, Université de Sherbrooke, Monreal, QC, Canada, 3Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 4CIBM Center for Biomedical Imaging, Lausanne, Switzerland

Synopsis

Keywords: White Matter, Phantoms, Monte Carlo simulations for microstructure in DW-MRIInferring microscopic tissue properties from the measured signal is one of the main objectives of diffusion-weighted magnetic resonance imaging. The use of Monte-Carlo Simulations for DW-MRI on realistic substrates will help the study of DWI-MRI signals in controlled environments and investigate, extract, and validate approaches for the understanding of white matter features. This work provides a unique framework for building complex white matter phantoms with novel properties, such as 1) substrates with a high packing density of 95% intra-axonal volume percentage and substrate sizes of (500 um)3, 2) Create, generalise, extend, and preexisting phantom configurations used by other studies.

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