142 citations · 1k across the 43 of their papers we have counts for
12 papers · 1 filter
Machine-learning-informed parameter estimation improves the reliability of spinal cord diffusion MRI
Ting Gong, Francesco Grussu, Claudia A. M. Gandini Wheeler-Kingshott +2
Purpose: We address the challenge of inaccurate parameter estimation in diffusion MRI when the signal-to-noise ratio (SNR) is very low, as in the spinal cord. The accuracy of conve…
Impact of within-voxel heterogeneity in fibre geometry on spherical deconvolution
Ross Callaghan, Daniel C. Alexander, Marco Palombo +1
Axons in white matter have been shown to have varying geometries within a bundle using ex vivo imaging techniques, but what does this mean for diffusion MRI (dMRI) based spherical…
Mapping complex cell morphology in the grey matter with double diffusion encoding MR: a simulation study
Andrada Ianus, Daniel C. Alexander, Hui Zhang +1
This paper investigates the impact of cell body (soma) size and branching of cellular projections on diffusion MR imaging (dMRI) and spectroscopy (dMRS) signals for both standard s…
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation
Ross Callaghan, Daniel C. Alexander, Marco Palombo +1
This paper presents Contextual Fibre Growth (ConFiG), an approach to generate white matter numerical phantoms by mimicking natural fibre genesis. ConFiG grows fibres one-by-one, fo…
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination
Ioana Hill, Marco Palombo, Mathieu Santin +14
The intra-axonal water exchange time τi, a parameter associated with axonal permeability, could be an important biomarker for understanding demyelinating pathologies such as Multip…
SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI
Marco Palombo, Andrada Ianus, Daniel Nunes +4
This work introduces a compartment-based model for apparent soma and neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The existing conjecture in…
In utero diffusion MRI: challenges, advances, and applications
Daan Christiaens, Paddy J. Slator, Lucilio Cordero-Grande +6
In utero diffusion MRI provides unique opportunities to non-invasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as…
Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta
Paddy J. Slator, Jana Hutter, Marco Palombo +7
Purpose: A combined diffusion-relaxometry MR acquisition and analysis pipeline for in-vivo human placenta, which allows for exploration of coupling between T2* and apparent diffusi…
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal
Marco Palombo, Daniel C. Alexander, Hui Zhang
In this work, we introduce a novel computational framework that we developed to use numerical simulations to investigate the complexity of brain tissue at a microscopic level with…
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain
Andrada Ianuş, Sune N. Jespersen, Teresa Serradas Duarte +3
Microscopic diffusion anisotropy (μA) has been recently gaining increasing attention for its ability to decouple the average compartment anisotropy from orientation dispersion. Adv…
Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison
Uran Ferizi, Benoit Scherrer, Torben Schneider +20
A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the…
Diffusion imaging with stimulated echoes: signal models and experiment design
Daniel C. Alexander, Tim B. Dyrby
Purpose: Stimulated echo acquisition mode (STEAM) diffusion MRI can be advantageous over pulsed-gradient spin-echo (PGSE) for diffusion times that are long compared to $\ttwo$. It…