We review, systematize and discuss models of diffusion in neuronal tissue, by putting them
into an overarching physical context of coarse‐graining over an increasing diffusion length …

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 …

We introduce and evaluate a post-processing technique for fast denoising of diffusion-
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …

Purpose To estimate the spatially varying noise map using a redundant series of magnitude
MR images. Methods We exploit redundancy in non‐Gaussian distributed multidirectional …

Purpose Linear least squares estimators are widely used in diffusion MRI for the estimation
of diffusion parameters. Although adding proper weights is necessary to increase the …

We develop a general analytical and numerical framework for estimating intra-and extra-
neurite water fractions and diffusion coefficients, as well as neurite orientational dispersion …

This work evaluates the accuracy and precision of the Diffusion parameter EStImation with
Gibbs and NoisE Removal (DESIGNER) pipeline, developed to identify and minimize …

The key component of a microstructural diffusion MRI 'super-scanner'is a dedicated high-
strength gradient system that enables stronger diffusion weightings per unit time compared …

Diffusion MRI is a useful probe of tissue microstructure. The conventional diffusion encoding
sequence, the single pulsed field gradient, has recently been challenged as more general …

White matter microstructural changes during the first three years of healthy brain
development are characterized using two different models developed for limited clinical …