The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25
years. In this review, we dwell on the various challenges along the journey of bringing a …

Microstructure imaging seeks to noninvasively measure and map microscopic tissue
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …

Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …

Monte-Carlo Diffusion Simulations (MCDS) have been used extensively as a ground truth
tool for the validation of microstructure models for Diffusion-Weighted MRI. However …

A GPU-based tool to generate realistic phantoms of the brain microstructure is presented.
Using a spherical meshing technique which decomposes each microstructural item into a …

Abstract This paper presents Contextual Fibre Growth (ConFiG), an approach to generate
white matter numerical phantoms by mimicking natural fibre genesis. ConFiG grows fibres …

We proposed two deep neural network based methods to accelerate the estimation of
microstructural features of crossing fascicles in the white matter. Both methods focus on the …

Evidence mounts that the steady‐state cellular water efflux (unidirectional) first‐order rate
constant (kio [s− 1]) magnitude reflects the ongoing, cellular metabolic rate of the cytolemmal …

We propose a framework to train supervised learning models on synthetic data to estimate
brain microstructure parameters using diffusion magnetic resonance imaging (dMRI) …

A growing body of neuroimaging evidence shows that white matter can change as a result of
experience and structured learning. Although the majority of previous work has used …