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Erick Jorge Canales Rodriguez

Cette personne a quitté l’EPFL

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Publications associées (59)

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Cellular EXchange Imaging (CEXI): Evaluation of a diffusion model including water exchange in cells using numerical phantoms of permeable spheres

Jean-Philippe Thiran, Gabriel Girard, Erick Jorge Canales Rodriguez, Jonathan Rafael Patino Lopez, Ileana Ozana Jelescu, Rémy Marc M Gardier, Juan Luis Villarreal Haro

Purpose Biophysical models of diffusion MRI have been developed to characterize microstructure in various tissues, but existing models are not suitable for tissue composed of permeable spherical cells. In this study we introduce Cellular Exchange Imaging ( ...

Wiley2023

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Jean-Philippe Thiran, Alessandro Daducci, Cristina Granziera, Erick Jorge Canales Rodriguez, Muhamed Barakovic

At the typical spatial resolution of MRI in the human brain, approximately 60–90% of voxels contain multiple fiber populations. Quantifying microstructural properties of distinct fiber populations within a voxel is therefore challenging but necessary. Whil ...

2020

Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Gabriel Girard, David Paul Roger Romascano, Jonathan Rafael Patino Lopez

Monte-Carlo Diffusion Simulations (MCDS) have been used extensively as a ground truth tool for the validation of microstructure models for Diffusion-Weighted MRI. However, methodological pitfalls in the design of the biomimicking geometrical configurations ...

2020

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

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

Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI

Jean-Philippe Thiran, Alessandro Daducci, Yves Wiaux, Erick Jorge Canales Rodriguez, Gloria Menegaz, Maxime Descoteaux, Mathews Jacob, Ying-Chia Lin

Validation is arguably the bottleneck in the diffusion MRI community. This paper evaluates and compares 20 algorithms for recovering the local intra-voxel fiber structure from diffusion MRI data and is based on the results of the "HARDI reconstruction chal ...

Institute of Electrical and Electronics Engineers2014

DDR1 methylation is associated with bipolar disorder and the isoform expression and methylation of myelin genes

Erick Jorge Canales Rodriguez

Aim: To investigate DDR1 methylation in the brains of bipolar disorder (BD) patients and its association with DDR1 mRNA levels and comethylation with myelin genes. Materials & methods: Genome-wide profiling of DNA methylation (Infinium MethylationEPIC Bead ...

2021

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

Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space

Jean-Philippe Thiran, Alessandro Daducci, Yves Wiaux, Erick Jorge Canales Rodriguez, David Paul Roger Romascano, Anna Auria Rasclosa

State-of-the-art microstructure imaging methods usually fit biophysical models to the diffusion MRI data on a voxel-by-voxel basis using non-linear procedures that require both long acquisitions and processing time. We recently introduced AMICO, a framewor ...

2016

Fast and high-resolution myelin water imaging: Accelerating multi-echo GRASE with CAIPIRINHA

Jean-Philippe Thiran, Reto Meuli, Tobias Kober, Alessandro Daducci, Tom Hilbert, Erick Jorge Canales Rodriguez, Marco Pizzolato, Gian Franco Piredda

Purpose Although several MRI methods have been explored to achievein vivomyelin quantification, imaging the whole brain in clinically acceptable times and sufficiently high resolution remains challenging. To address this problem, this work investigates the ...

Wiley2021

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

Discoidin domain receptor 1 gene variants are associated with decreased white matter fractional anisotropy and decreased processing speed in schizophrenia

Erick Jorge Canales Rodriguez

DDR1 has been linked to schizophrenia (SZ) and myelination. Here, we tested whether DDR1 variants in people at risk for SZ influence white matter (WM) structural variations and cognitive processing speed (PS). First, following a case-control design (Study ...

2019

Sulcal Pits as Potential Markers of Early Sex-related Human Brain Differences in Healthy Adults

Erick Jorge Canales Rodriguez

BMC2025

Structural brain correlates in major depression, anxiety disorders and post-traumatic stress disorder: A voxel-based morphometry meta-analysis

Erick Jorge Canales Rodriguez

The high comorbidity of Major Depressive Disorder (MDD), Anxiety Disorders (ANX), and Posttraumatic Stress Disorder (PTSD) has hindered the study of their structural neural correlates. The authors analyzed specific and common grey matter volume (GMV) chara ...

2021

Surface-based morphometry abnormality in schizophrenia and its relation to positive, negative and disorganized syndromes

Erick Jorge Canales Rodriguez

ELSEVIER2021

Impact of Bipolar Disorder Increased White Matter Hyperintensities on White Matter Connectivity

Erick Jorge Canales Rodriguez

Background: Individuals with bipolar disorder have been reported to have increased white matter hyperintensities (WMH) in fluid-attenuated inversion recovery (FLAIR) magnetic resonance scans. However, it is unknown whether this WMH increase has any impact ...

WILEY2025

Reducing acquisition time for microstructure imaging with spatially-regularized global optimization

Jean-Philippe Thiran, Alessandro Daducci, Yves Wiaux, Erick Jorge Canales Rodriguez, David Paul Roger Romascano, Anna Auria Rasclosa

Microstructure imaging with diffusion MRI (dMRI) is usually based on fitting models to the data using voxelwise nonlinear procedures that (i) are time consuming and (ii) need long acquisitions. Recently, we introduced the AMICO framework to accelerate the ...

2016

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