Diffusion MRI uses the random displacement of water molecules to sensitize the signal to
brain microstructure and to properties such as the density and shape of cells. Microstructure …

Biophysical models of diffusion in white matter have been center-stage over the past two
decades and are essentially based on what is now commonly referred to as the “Standard …

Estimating intra-and extra-axonal microstructure parameters, such as volume fractions and
diffusivities, has been one of the major efforts in brain microstructure imaging with MRI. The …

Purpose Biophysical modeling of the diffusion MRI (dMRI) signal provides estimates of
specific microstructural tissue properties. Although non‐linear least squares (NLLS) is the …

Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance
imaging biophysical signal model devised to probe in vivo microstructural information in the …

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

Diffusion MRI (dMRI) has become a crucial imaging technique in the field of neuroscience,
with a growing number of clinical applications. Although most studies still focus on the brain …

The standard diffusion MRI model with intra-and extra-axonal water pools offers a set of
microstructural parameters describing brain white matter architecture. However, non …

Recent studies have shown significant changes to brain microstructure during sleep and
anesthesia. In vivo optical microscopy and magnetic resonance imaging (MRI) studies have …

Double diffusion encoding (DDE) of the water signal offers a unique ability to separate the
effect of microscopic anisotropic diffusion in structural units of tissue from the overall …