Publications by Gian Franco Piredda

Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes

Tobias Kober, Tom Hilbert, Gian Franco Piredda

BACKGROUND AND PURPOSE: MS lesions exhibit varying degrees of axonal and myelin damage. A comprehensive description of lesion phenotypes could contribute to an improved radiologic evaluation of smoldering inflammation and remyelination processes. This stud ...

Amer Soc Neuroradiology2024

Deep multiple sclerosis lesion phenotyping using multimodal quantitative MRI

Tobias Kober, Tom Hilbert, Gian Franco Piredda

Sage Publications Ltd2023

Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions

Jean-Philippe Thiran, Friedhelm Christoph Hummel, Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Gabriel Girard, Elda Fischi Gomez, Gian Franco Piredda, Thomas Yu, Takuya Morishita

Quantitative magnetic resonance imaging (qMRI) can increase the specificity and sensitivity of conventional weighted MRI to underlying pathology by comparing meaningful physical or chemical parameters, measured in physical units, with normative values acqu ...

2022

Compressed sensing (CS) MP2RAGE versus standard MPRAGE: A of derived brain volume measurements

Tobias Kober, Tom Hilbert, Gian Franco Piredda

Purpose: T1 Magnetization Prepared Two Rapid Acquisition Gradient Echo (MP2RAGE) with compress sensing (CS) has been proposed as an improvement of the standard MPRAGE sequence with multiple advantages including reduced acquisition time needed to provide a ...

ELSEVIER SCI LTD2022

First evidence on the utility of T-1 mapping of the optic nerve to investigate differences between MS and NMOSD

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Gian Franco Piredda, Veronica Lily Ravano

SAGE PUBLICATIONS LTD2022

Evaluating reproducibility and subject-specificity of microstructure-informed connectivity

Jean-Philippe Thiran, Friedhelm Christoph Hummel, Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Gabriel Girard, Elda Fischi Gomez, Gian Franco Piredda, Takuya Morishita, Elena Beanato

Tractography enables identifying and evaluating the healthy and diseased brain's white matter pathways from diffusion-weighted magnetic resonance imaging data. As previous evaluation studies have reported significant false-positive estimation biases, recen ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Towards better characterization of spinal cord pathology in early stages of multiple sclerosis using T1 mapping

Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Gian Franco Piredda, Veronica Lily Ravano

SAGE PUBLICATIONS LTD2022

Periventricular gradient of T1 tissue alterations in multiple sclerosis

Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Gian Franco Piredda, Veronica Lily Ravano

Objective: Pathology in multiple sclerosis is not homogenously distributed. Recently, it has been shown that structures adjacent to CSF are more severely affected. A gradient of brain tissue involvement was shown with more severe pathology in periventricul ...

ELSEVIER SCI LTD2022

Submillimeter T-1 atlas for subject-specific abnormality detection at 7T

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Gian Franco Piredda, Ricardo Alberto Corredor Jerez

Purpose: Studies at 3T have shown that T-1 relaxometry enables characterization of brain tissues at the single-subject level by comparing individual physical properties to a normative atlas. In this work, an atlas of normative T-1 values at 7T is introduce ...

WILEY2022

Comparison of non-parametric T2 relaxometry methods for myelin water quantification

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Gian Franco Piredda, Marco Pizzolato, Thomas Yu, Alessandro Daducci, Nicolas Kunz

Multi-component T2 relaxometry allows probing tissue microstructure by assessing compartment-specific T2 relaxation times and water fractions, including the myelin water fraction. Non-negative least squares (NNLS) with zero-order Tikhonov regularization is ...

2021