Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and
researchers as they provide unique insights into brain network connectivity. However, in …

The diffusion of water molecules inside organic tissues is often anisotropic (1). Namely, if
there are aligned structures in the tissue, the apparent diffusion coefficient (ADC) of water …

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 …

In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …

While animal studies have demonstrated a unique reproduction-related neuroplasticity, little
is known on the effects of pregnancy on the human brain. Here we investigated whether …

Despite its great potential in studying brain anatomy and structure, diffusion magnetic
resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI …

Constrained spherical deconvolution (CSD) has become one of the most widely used
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …

Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …

This paper introduces a multi-compartment model for microscopic diffusion anisotropy
imaging. The aim is to estimate microscopic features specific to the intra-and extra-neurite …

Most motion correction methods work by aligning a set of volumes together, or to a volume
that represents a reference location. These are based on an implicit assumption that the …