This second article of the 2-part review builds on the theoretic background provided by the
first article to cover the major technical factors that affect image quality in diffusion imaging …

Diffusion encoding along multiple spatial directions per signal acquisition can be described
in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks …

In the last decade, diffusion MRI (dMRI) studies of the human and animal brain have been
used to investigate a multitude of pathologies and drug-related effects in neuroscience …

Abstract Diffusion tensor MRI (DT-MRI) is the only non-invasive method for characterising
the microstructural organization of tissue in vivo. Generating parametric maps that help to …

Several studies have shown that obesity is associated with changes in human brain function
and structure. Since women are more susceptible to obesity than men, it seems plausible …

Purpose Diffusion‐weighted MRI is sensitive to incoherent tissue motion, which may
confound the measured signal and subsequent analysis. We propose a “motion …

Purpose To acquire isotropic high‐resolution, signal‐to‐noise ratio (SNR) efficient, 3D
encoded diffusion‐weighted MRI data. Methods Multiple Fourier encoded slabs were …

We have identified and studied a pronounced artifact in diffusion‐weighted MRI on a clinical
system. The artifact results from vibrations of the patient table due to low‐frequency …

This article reviews some of the key factors influencing the accuracy and precision of
quantitative metrics derived from diffusion magnetic resonance imaging data. It focuses on …

Purpose Magnetic resonance elastography (MRE) uses phase‐contrast MRI to generate
mechanical property maps of the in vivo brain through imaging of tissue deformation from …