In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion
MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular …

The recovery of microstructure-related features of the brain's white matter is a current
challenge in diffusion MRI. To robustly estimate these important features from multi-shell …

A large number of mathematical models have been proposed to describe the measured
signal in diffusion‐weighted (DW) magnetic resonance imaging (MRI). However, model …

This paper proposes a statistical physics-based data assimilation model for the mobility of
water-bound hydrogen nuclear spins in the brain in the context of diffusion weighted …

Effective representation of the four-dimensional diffusion MRI signal–varying over three-
dimensional q-space and diffusion time τ–is a sought-after and still unsolved challenge in …

Purpose Acquisition time is a major limitation in recovering brain white matter microstructure
with diffusion magnetic resonance imaging. The aim of this paper is to bridge the gap …

Effective representation of the diffusion signal's dependence on diffusion time is a sought-
after, yet still unsolved, challenge in diffusion MRI (dMRI). We propose a functional basis …

This thesis is dedicated to furthering neuroscientific understanding of the human brain using
diffusion-sensitized Magnetic Resonance Imaging (dMRI). Within dMRI, we focus on the …

Neuroimaging provides a window into the inner workings of the human brain to diagnose
and prevent neurological diseases and understand biological brain function, anatomy, and …

Acquisition time is a major limitation in recovering brain white matter microstructure with
diffusion Magnetic Resonance Imaging. Finding a sampling scheme that maximizes signal …