Simulations of synthetic diffusion MRI data based on Brownian motion

Abstract

This study deals with the problem of bending and kissing fibers of axonal bundles in brain white matter. It describes new simulator of diffusion-weighted MRI (dMRI) data which is able to generate it based on random walk algorithm with geometrical constraints not only for crossing fiber geometry, but also as o novelty for bending and kissing fiber geometries. It means the simulator becomes a useful and essential tool for understanding and detection of differences between dMRI data coming from crossing, bending and kissing fibers.