5 papers
Task-driven assessment of experimental designs in diffusion MRI: a computational framework
Sean C. Epstein, Timothy J. P. Bray, Margaret A. Hall-Craggs +1
This paper proposes a task-driven computational framework for assessing diffusion MRI experimental designs which, rather than relying on parameter-estimation metrics, directly meas…
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…
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…