198 citations · 559 across the 18 of their papers we have counts for
19 papers
Quantifying human gray matter microstructure using NEXI and 300 mT/m gradients
Quentin Uhl, Tommaso Pavan, Malwina Molendowska +3
Biophysical models of diffusion tailored to quantify gray matter microstructure are gathering increasing interest. The two-compartment Neurite EXchange Imaging () model has b…
Investigating exchange, structural disorder and restriction in Gray Matter via water and metabolites diffusivity and kurtosis time-dependence
Eloïse Mougel, Julien Valette, Marco Palombo
Water diffusion MRI is a very powerful tool for probing tissue microstructure, but disentangling the contribution of compartment-specific structural disorder from cellular restrict…
Diffusion-weighted MR spectroscopy: consensus, recommendations and resources from acquisition to modelling
Clémence Ligneul, Chloé Najac, André Döring +24
Brain cell structure and function reflect neurodevelopment, plasticity and ageing, and changes can help flag pathological processes such as neurodegeneration and neuroinflammation.…
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning
Jason P. Lim, Stefano B. Blumberg, Neil Narayan +4
Machine learning is a powerful approach for fitting microstructural models to diffusion MRI data. Early machine learning microstructure imaging implementations trained regressors t…
Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study
Matteo Mancini, Derek K. Jones, Marco Palombo
In this work, we evaluate how neural networks with periodic activation functions can be leveraged to reliably compress large multidimensional medical image datasets, with proof-of-…
Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange
Ileana O. Jelescu, Alexandre de Skowronski, Françoise Geffroy +2
Biophysical models of diffusion in white matter are based on what is now commonly referred to as the "Standard Model" (SM) of non-exchanging anisotropic Gaussian compartments. In t…
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…
Double diffusion encoding and applications for biomedical imaging
Rafael N. Henriques, Marco Palombo, Sune N. Jespersen +3
Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of…
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…
Inflammation-driven glial alterations in the cuprizone mouse model probed with diffusion-weighted magnetic resonance spectroscopy at 11.7 T
Guglielmo Genovese, Marco Palombo, Mathieu D. Santin +11
Inflammation of brain tissue is a complex response of the immune system to the presence of toxic compounds or to cell injury, leading to a cascade of pathological processes that in…
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…
Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: which microstructural features are we sensitive to?
Melissa Vincent, Marco Palombo, Julien Valette
Brain metabolites, such as N-acetylaspartate or myo-inositol, are constantly probing their local cellular environment under the effect of diffusion. Diffusion-weighted NMR spectros…
Multi-Stage Prediction Networks for Data Harmonization
Stefano B. Blumberg, Marco Palombo, Can Son Khoo +3
In this paper, we introduce multi-task learning (MTL) to data harmonization (DH); where we aim to harmonize images across different acquisition platforms and sites. This allows us…
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…
Insights into brain microstructure from in vivo DW-MRS
Marco Palombo, Noam Shemesh, Itamar Ronen +1
Many developmental processes, such as plasticity and aging, or pathological processes such as neurological diseases are characterized by modulations of specific cellular types and…
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…
Exploring the feasibility of Fe(Se,Te) conductors by ex-situ Powder-in-Tube method
M. Palombo, A. Malagoli, M. Pani +4
In this work, the feasibility condition of Powder-In-Tube (PIT) processed wires of Fe(Se,Te) superconductor has been investigated. We faced several technical issues that are extens…