The ability of fiber tractography to delineate non‐invasively the white matter fiber pathways
of the brain raises possibilities for clinical applications and offers enormous potential for …

Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

The purpose of super-resolution approaches is to overcome the hardware limitations and
the clinical requirements of imaging procedures by reconstructing high-resolution images …

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 …

The key component of a microstructural diffusion MRI 'super-scanner'is a dedicated high-
strength gradient system that enables stronger diffusion weightings per unit time compared …

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

This paper introduces a new computational imaging technique called image quality transfer
(IQT). IQT uses machine learning to transfer the rich information available from one-off …

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 …

Purpose We evaluate a new approach for achieving diffusion MRI data with high spatial
resolution, large volume coverage, and fast acquisition speed. Theory and Methods A recent …

Diffusion MRI (dMRI) can provide invaluable information about the structure of different
tissue types in the brain. Standard dMRI acquisitions facilitate a proper analysis (eg tracing) …