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 …

Since the realization that diffusion MRI can probe the microstructural organization and
orientation of biological tissue in vivo and non‐invasively, a multitude of diffusion imaging …

Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …

Numerous scientific fields rely on elaborate but partly suboptimal data processing pipelines.
An example is diffusion magnetic resonance imaging (diffusion MRI), a non-invasive …

It is beneficial for both hospitals and patients to accelerate MRI scanning. Recently, a new
fast MRI technique based on CS was proposed. However, the reconstruction quality and …

The discovery of the theory of compressed sensing brought the realisation that many inverse
problems can be solved even when measurements are “incomplete”. This is particularly …

Studies have demonstrated that many regions in the human brain include multidirectional
fiber tracts, in which the diffusion of water molecules within image voxels does not follow a …

Diffusion magnetic resonance imaging (MRI) datasets suffer from low Signal-to-Noise Ratio
(SNR), especially at high b-values. Acquiring data at high b-values contains relevant …

Purpose To present a method that automatically, rapidly, and in a noniterative manner
determines the regularization weighting for wavelet‐based compressed sensing …

Map** non-invasively the complex microstructural architecture of the living human brain,
diffusion magnetic resonance imaging (dMRI) is one of the core imaging modalities in …