Meeting Banner
Abstract #1503

Estimation of numerical substrate properties with compartmentalized models from Monte-Carlo simulated DW-MRI signals

Rémy Gardier1, Juan Luis Villarreal Haro1, Erick Jorge Canales-Rodriguez1, Gabriel Girard1,2,3, Jonathan Rafael-Patiño1,3, and Jean-Philippe Thiran1,2,3
1Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland


For over a decade, microstructure imaging has been a hot research topic in DW-MRI. Tissue complexity compelled researchers to make assumptions about certain properties. The inverse problem of microstructure imaging, in particular, is ill-posed, and current methods fix some parameters to reduce the solution space. In this abstract, we look at how intracellular and extracellular diffusion coefficients affect the estimation of compartmentalized model parameters. We show that robust estimation of some parameters does not extend to all parameters using Monte-Carlo simulations in impermeable substrates with multiple diffusivities, and we identified the extracellular compartment as the most influential on estimation quality.

This abstract and the presentation materials are available to members only; a login is required.

Join Here