Microstructure imaging seeks to noninvasively measure and map microscopic tissue
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …

Microstructure imaging by means of multidimensional diffusion encoding is increasingly
applied in clinical research, with expectations that it yields a parameter that better correlates …

We introduce and demonstrate an unsupervised machine learning technique for
spectroscopic analysis of quantitative MRI experiments. Our algorithm supports estimation of …

Diverse approaches such as oscillating gradients, tensor-valued encoding, and diffusion-
relaxation correlation have been used to study microstructure and heterogeneity in healthy …

During oil and gas exploration, it is difficult to quantitatively evaluate fluid components and
accurately calculate the saturation of different fluids because of the overlapping of fluid …

Background and purpose The excess fluid as a result of vasogenic oedema and the
subsequent tissue cavitation obscure the microstructural characterisation of ischaemic tissue …

Glioblastoma is the most common and aggressive brain tumor. In clinical practice, diffusion
MRI (dMRI) enables tumor infiltration assessment, tumor recurrence prognosis, and …

In conventional gradient-echo myelin water imaging (GRE-MWI), myelin water fraction
(MWF) is estimated by fitting the multi-echo gradient recalled echo (mGRE) signal to a pre …

Multi-echo gradient-echo (mGRE)-based myelin water fraction (MWF) mapping is a
promising myelin water imaging (MWI) modality but is vulnerable to noise and artifact …

Purpose MRI can be utilized for quantitative characterization of tissue. To assess eg water
fractions or diffusion coefficients for compartments in the brain, a decomposition of the signal …