Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which
aims primarily at local image contrast. It provides specific physical parameters related to the …

Diffusion MRI (dMRI) has proven to be a useful imaging approach for both clinical diagnosis
and research investigating the microstructures of nervous tissues, and it has helped us to …

This work introduces a compartment-based model for apparent cell body (namely soma) and
neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The …

The first phase of the Human Connectome Project pioneered advances in MRI technology
for map** the macroscopic structural connections of the living human brain through the …

Biophysical models of diffusion in white matter have been center-stage over the past two
decades and are essentially based on what is now commonly referred to as the “Standard …

Understanding brain structure and function often requires combining data across different
modalities and scales to link microscale cellular structures to macroscale features of whole …

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 …

Characterizing neural tissue microstructure is a critical goal for future neuroimaging.
Diffusion MRI (dMRI) provides contrasts that reflect diffusing spins' interactions with myriad …

Diffusion MRI (dMRI) is a unique tool for the study of brain circuitry, as it allows us to image
both the macroscopic trajectories and the microstructural properties of axon bundles in vivo …

Research in ultrahigh magnetic field strength combined with ultrahigh and ultrafast gradient
technology has provided enormous gains in sensitivity, resolution, and contrast for …