[HTML][HTML] Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI

M Pizzolato, EJ Canales-Rodríguez, M Andersson… - Medical Image …, 2023 - Elsevier
We enable the estimation of the per-axon axial diffusivity from single encoding, strongly
diffusion-weighted, pulsed gradient spin echo data. Additionally, we improve the estimation …

Widespread intra‐axonal signal fraction abnormalities in bipolar disorder from multicompartment diffusion MRI: Sensitivity to diagnosis, association with clinical …

EJ Canales‐Rodríguez, N Verdolini… - Human Brain …, 2023 - Wiley Online Library
Despite diffusion tensor imaging (DTI) evidence for widespread fractional anisotropy (FA)
reductions in the brain white matter of patients with bipolar disorder, questions remain …

[HTML][HTML] Age-and gender-related differences in brain tissue microstructure revealed by multi-component T2 relaxometry

EJ Canales-Rodriguez, S Alonso-Lana, N Verdolini… - Neurobiology of …, 2021 - Elsevier
In spite of extensive work, inconsistent findings and lack of specificity in most neuroimaging
techniques used to examine age-and gender-related patterns in brain tissue microstructure …

[HTML][HTML] Whole-brain imaging of subvoxel T1-diffusion correlation spectra in human subjects

AV Avram, JE Sarlls, PJ Basser - Frontiers in Neuroscience, 2021 - frontiersin.org
T1 relaxation and water mobility generate eloquent MRI tissue contrasts with great
diagnostic value in many neuroradiological applications. However, conventional methods …

[HTML][HTML] Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares

EJ Canales-Rodríguez, M Pizzolato, T Yu, GF Piredda… - Neuroimage, 2021 - Elsevier
Multi-echo T 2 magnetic resonance images contain information about the distribution of T 2
relaxation times of compartmentalized water, from which we can estimate relevant brain …

Pore size estimation in axon‐mimicking microfibers with diffusion‐relaxation MRI

EJ Canales‐Rodríguez, M Pizzolato… - Magnetic …, 2024 - Wiley Online Library
Purpose This study aims to evaluate two distinct approaches for fiber radius estimation using
diffusion‐relaxation MRI data acquired in biomimetic microfiber phantoms that mimic hollow …

[HTML][HTML] Fast, accurate, and robust T2 mapping of articular cartilage by neural networks

G Müller-Franzes, T Nolte, M Ciba, J Schock, F Khader… - Diagnostics, 2022 - mdpi.com
For T2 mapping, the underlying mono-exponential signal decay is traditionally quantified by
non-linear Least-Squares Estimation (LSE) curve fitting, which is prone to outliers and …

Improved myelin water fraction mapping with deep neural networks using synthetically generated 3D data

SD Vasylechko, SK Warfield, S Kurugol… - Medical Image Analysis, 2024 - Elsevier
We introduce a generative model for synthesis of large scale 3D datasets for quantitative
parameter mapping of myelin water fraction (MWF). Our model combines a MR physics …

[HTML][HTML] Estimating axon radius using diffusion-relaxation MRI: calibrating a surface-based relaxation model with histology

M Barakovic, M Pizzolato, CMW Tax… - Frontiers in …, 2023 - frontiersin.org
Axon radius is a potential biomarker for brain diseases and a crucial tissue microstructure
parameter that determines the speed of action potentials. Diffusion MRI (dMRI) allows non …

Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes

F Tazza, G Boffa, S Schiavi, C Lapucci… - American Journal …, 2024 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: MS lesions exhibit varying degrees of axonal and myelin
damage. A comprehensive description of lesion phenotypes could contribute to an improved …