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

Magnetic resonance in the guise of conventional imaging (MRI, also known as k-space
imaging) and diffusion imaging (q-space imaging) and combined k-and q-space imaging …

We propose a framework to train supervised learning models on synthetic data to estimate
brain microstructure parameters using diffusion magnetic resonance imaging (dMRI) …

Most diffusion biophysical models capture basic properties of tissue microstructure, such as
diffusivity and anisotropy. More realistic models that relate the diffusion-weighted signal to …

Fractional calculus and fractional-order calculus are arranged in lineage as regards the
mathematical models with complexity-theoretical tenets capable of capturing the subtle …

Purpose To develop a digital reference object (DRO) toolkit to generate realistic breast DCE‐
MRI data for quantitative assessment of image reconstruction and data analysis methods …

Understanding the intracellular dynamics of brain cells entails performing three-dimensional
molecular simulations incorporating ultrastructural models that can capture cellular …

Neocortical maturation is a dynamic process that proceeds in a hierarchical manner;
however, the spatiotemporal organization of cortical microstructure with diffusion MRI has …

The complex transverse water proton magnetization subject to diffusion‐encoding magnetic
field gradient pulses in a heterogeneous medium such as brain tissue can be modeled by …

Objective. Microstructure imaging based on diffusion magnetic resonance signal is an
advanced imaging technique that enables in vivo mapping of the brain's microstructure …