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 …

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 …

Diffusion measurements in the kidney are affected not only by renal microstructure but also
by physiological processes (ie, glomerular filtration, water reabsorption, and urine …

Abstract Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important
contemporary non-invasive modalities for probing tissue structure at the microscopic scale …

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

Purpose Although both relaxation and diffusion imaging are sensitive to tissue
microstructure, studies have reported limited sensitivity and robustness of using relaxation or …

Motion is a major confound in diffusion‐weighted imaging (DWI) in the body, and it is a
common cause of image artefacts. The effects are particularly severe in cardiac applications …

Spinal cord magnetic resonance imaging (MRI) has a central role in multiple sclerosis (MS)
clinical practice for diagnosis and disease monitoring. Advanced MRI sequences capable of …

Objectives To evaluate the feasibility of multimodal diffusion-weighted imaging (DWI) for
detecting the occurrence and severity of acute kidney injury (AKI) caused by severe acute …

Diffusion encoding with free gradient waveforms can provide increased microstructural
specificity in heterogeneous tissues compared to conventional encoding approaches. This is …