Abstract #5227

Estimation of the brain microstructure in the presence of crossing fascicles from a dictionary of Monte Carlo signals

Gaëtan Rensonnet^1,2, Benoit Scherrer³, Gabriel Girard¹, Jonathan Rafael-Patino¹, Simon K Warfield³, Benoit Macq², Jean-Philippe Thiran^1,4, and Maxime Taquet³

¹Signal Processing Lab (LTS5), Ecole polytechnique fédérale de Lausanne, Lausanne, Switzerland, ²ICTEAM, Université catholique de Louvain, Louvain-la-Neuve, Belgium, ³Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, ⁴Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland

We estimate microstructural features of crossing fascicles using Monte Carlo simulations to represent the diffusion attenuation of each fascicle. The measured diffusion-weighted MRI signal is reconstructed as a sparse weighted sum of pre-computed signals and microstructural properties are estimated from the selected fascicle configurations. The consistent results obtained on various synthetic phantoms as well as on in vivo brain data suggest the potential of our method for the quantitative estimation of microstructural features in fascicle crossings.

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