Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

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 …

Purpose Diffusion encoding with asymmetric gradient waveforms is appealing because the
asymmetry provides superior efficiency. However, concomitant gradients may cause a …

Purpose To optimize diffusion‐relaxation MRI with tensor‐valued diffusion encoding for
precise estimation of compartment‐specific fractions, diffusivities, and T2 values within a two …

Tremendous efforts have been made in the last decade to advance cutting-edge MRI
technology in pursuit of mapping structural connectivity in the living human brain with …

Abstract Characterization of porous media is essential in a wide range of biomedical and
industrial applications. Microstructural features can be probed non-invasively by diffusion …

Microstructure imaging techniques based on tensor-valued diffusion encoding have gained
popularity within the MRI research community. Unlike conventional diffusion encoding …

Diffusion MRI techniques are used widely to study the characteristics of the human brain
connectome in vivo. However, to resolve and characterise white matter (WM) fibres in …

Estimating intra-and extra-axonal microstructure parameters, such as volume fractions and
diffusivities, has been one of the major efforts in brain microstructure imaging with MRI. The …

The so-called “dot-compartment” is conjectured in diffusion MRI to represent small spherical
spaces, such as cell bodies, in which the diffusion is restricted in all directions. Previous …