Marco Pizzolato

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Related publications (30)

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Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales Rodriguez, Gabriel Girard, Marco Pizzolato, Ying-Chia Lin, Juan Luis Villarreal Haro

Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMR ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2023

Axonal T2 estimation using the spherical variance of the strongly diffusion-weighted MRI signal

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Marco Pizzolato

In magnetic resonance imaging, the application of a strong diffusion weighting suppresses the signal contributions from the less diffusion-restricted constituents of the brain's white matter, thus enabling the estimation of the transverse relaxation time T ...

ELSEVIER SCIENCE INC2022

Unified multi-modal characterization of microstructural parameters of brain tissue using diffusion MRI and multi-echo T2 data

Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales Rodriguez, Nicolas Kunz, Marco Pizzolato

In this study, a unified framework to estimate different microstructure indices from diffusion MRI and multi-echo T2 (MET2) data was proposed.The new methodology takes into account the common and complementary information provided by both modalities. While ...

2018

Multimodal microstructure imaging: joint T2-relaxometry and diffusometry to estimate myelin, intracellular, extracellular, and cerebrospinal fluid properties

Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales Rodriguez, Marco Pizzolato

We propose a multimodal joint estimation that aims at exploiting the complementary information of diffusion and multi-echo spin echo data to disentangle the contributions and properties of the main tissue microstructure compartments. We recovered T2, diffu ...

ISMRM2018

Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence

Marco Pizzolato

This work focuses on obtaining a magnetic resonance imaging (MRI) signal representation that accounts for a longitudinal T-1 and transverse T-2* relaxations while at the same time integrating directional diffusion in the context of scattered multi-parametr ...

ELSEVIER SCIENCE INC2022

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Jean-Philippe Thiran, Gabriel Girard, Erick Jorge Canales Rodriguez, Marco Pizzolato, Elda Fischi Gomez, Jonathan Rafael Patino Lopez, Thomas Yu, Gaëtan Olivier D Rensonnet

Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in dMRI da ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation

Jean-Philippe Thiran, Marco Pizzolato, Thomas Yu

We present a voxel-wise Bayesian multi-compartment T2 relaxometry fitting method based on Hamiltonian Markov Chain Monte Carlo (HMCMC) sampling. The T 2 spectrum is modeled as a mixture of truncated Gaussian components, which involves the estimation of par ...

IEEE2019

Multimodal microstructure imaging: combining relaxometry and diffusometry to estimate myelin, intracellular, extracellular, and cerebrospinal fluid properties

Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales Rodriguez, Marco Pizzolato

please visit https://infoscience.epfl.ch/record/264843 ...

2018

Automatic and Spatially Varying Phase Correction for Diffusion Weighted Images

Marco Pizzolato

2018

Principal process analysis of dynamic GlucoCEST MRI data

Marco Pizzolato

2018