Chun-Hung Yeh1,2, Denis Le Bihan1, Jing-Rebecca Li1, Jean-Francois Mangin1, Ching-Po Lin2, Cyril Poupon1
1NeuroSpin, I2BM, CEA, Gif-sur-Yvette, France; 2National Yang-Ming University, Taipei, Taiwan
We develop a novel Monte-Carlo simulation tool dedicated to DW MR experiments by combining a Brownian dynamics simulator capable of simulating water diffusion in arbitrary geometries reproduced using meshes with a DW signal integrator emulating various MR pulse sequences. Complicated configurations mimicking neural tissue components (e.g. neurons) can be emulated, as well as tissue features (e.g. membrane permeability) and basic diffusion mechanisms in different compartments. This framework allows to bridge the gap between elementary processes and the resulting DW signal, providing a better understanding of the features observed in DW-MRI (e.g. ADC), and to optimize acquisition schemes for different applications.