Fundamental to increasing our understanding of the role of white matter microstructure in
normal/abnormal function in the living human is the development of MR-based metrics that …

This paper demonstrates spherical convolutional neural networks (spherical-CNN) offer
distinct advantages over conventional fully connected networks (FCN) at estimating rotation …

Deriving reliable information about the structural and functional architecture of the brain in
vivo is critical for the clinical and basic neurosciences. In the new era of large population …

Background Dynamic contrast-enhanced MRI (DCE-MRI) biomarkers have proven utility in
tumors in evaluating microvascular perfusion and permeability, but it is unclear whether …

Purpose To develop an experimental protocol to calculate the precision and accuracy of
fractional anisotropy (FA), mean diffusivity (MD), and the orientation of the principal …

Purpose Quantitative MRI (qMRI) yields reproducible" maps" of physiological and/or
biophysical tissue parameters. These spatially resolved metrics are mainly used in clinical …

Objective: Assess feasibility and validity of MRI metrics for MS clinical practice. Background:
Translation of MRI metrics to the clinic is hindered by lack of standardization, imprecise …

Abstract Diffusion Magnetic Resonance Imaging (dMRI) is sensitive to white matter
microstructural changes across the human lifespan. Several models have been proposed to …

Different MRI biomarkers for fiber and myelin density have been proposed for MR g-ratio
mapping, leaving open the question which biomarker is optimal. Here, we compare four …

Purpose To evaluate the reproducibility of radiomics features derived via different pre-
processing settings from paired T2-weighted imaging (T2WI) prostate lesions acquired …