Monte Carlo Simulation of Multiparameter Effects in Double Diffusion Encoding MRI

Motivation: Double Diffusion Encoding (DDE) MRI presents a promising approach for probing tissue microstructure, yet its clinical utility is challenged by the complexity of multiparameter optimization. Goal(s): This study aims to investigate the effects of DDE encoding parameters and tissue microstructure and geometry on the diffusion signal. Approach: Monte Carlo simulations using DifSim were conducted, varying Τm and Δ across three fiber geometries: coherent, tilted, and crossing fibers. Results: The pore sizes of coherent were extracted from diffusion signal. Sin(2θ) modulation was observed in both tilted and crossing fibers, allowing differentiation based on the ratio of their signal amplitudes. Impact: Monte Carlo simulations demonstrate a promising method for studying the effects of parameters in DDE, aiding in the optimization of pulse sequences to obtain specific microstructural information and facilitating the translation to MRI scanners.