Purpose: We present a 3-dimensional patient-specific eye model from magnetic resonance imaging (MRI) for proton therapy treatment planning of uveal melanoma (UM). During MRI acquisition of UM patients, the point fixation can be difficult and, together with ...

ELSEVIER SCIENCE INC2018

Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs

Alessia Pica, Meritxell Bach Cuadra, Raphael Sznitman

The use of 3D Magnetic Resonance Imaging (MRI) has attracted growing attention for the purpose of diagnosis and treatment planning of intraocular ocular cancers. Precise segmentation of such tumors are highly important to characterize tumors, their progres ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

Jonas Richiardi, Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Mario Joao Fartaria de Oliveira, Francesco La Rosa

In this work, we present a comparison of a shallow and a deep learning architecture for the automated segmentation of white matter lesions in MR images of multiple sclerosis patients. In particular, we train and test both methods on early stage disease pat ...

Springer2018

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

Jean-Philippe Thiran, Meritxell Bach Cuadra, Dimitri Nestor Alice Van De Ville, Elena Najdenovska, Thomas William Arthur Bolton, Constantin Tuleasca, Adrien Jean Régis Maurice Hilaire

OBJECTIVE Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard stereotactic deep brain stimulation or radiofrequency thalamotomy or, alternatively, minimally invasive techniques, including stereotactic rad ...

AMER ASSOC NEUROLOGICAL SURGEONS2018

In-vivo probabilistic atlas of human thalamic nuclei based on diffusion-weighted magnetic resonance imaging

Jean-Philippe Thiran, Meritxell Bach Cuadra, Patric Hagmann, Elena Najdenovska, Maxime Descoteaux

The thalamic nuclei are involved in many neurodegenerative diseases and therefore, their identification is of key importance in numerous clinical treatments. Automated segmentation of thalamic subparts is currently achieved by exploring diffusion-weighted ...

NATURE PUBLISHING GROUP2018

An Ultra-High Field Study of Cerebellar Pathology in Early Relapsing-Remitting Multiple Sclerosis Using MP2RAGE

Meritxell Bach Cuadra, Guillaume Bonnier, Gunnar Krüger, Tobias Kober, Cristina Granziera, Alexis Roche, Kieran O'Brien, Pavel Falkovskiy, Mario Joao Fartaria de Oliveira

Objectives: The aim of this study was to study focal cerebellar pathology in early stages of multiple sclerosis (MS) using ultra-high-field magnetization-prepared 2 inversion-contrast rapid gradient-echo (7T MP2RAGE). Materials and Methods: Twenty early-st ...

Lippincott, Williams & Wilkins2017

Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma

Jean-Philippe Thiran, Alessia Pica, Meritxell Bach Cuadra, Raphael Sznitman, Carlos Ciller

Purpose: Proper delineation of ocular anatomy in 3-dimensional (3D) imaging is a big challenge, particularly when developing treatment plans for ocular diseases. Magnetic resonance imaging (MRI) is presently used in clinical practice for diagnosis confirma ...

Elsevier Science Inc2015

A Multi-Contrast MRI Study of Microstructural Brain Damage in Patients with Mild Cognitive Impairment

Meritxell Bach Cuadra, Reto Meuli, Guillaume Bonnier, Daniel Andreas Schmitter, Cristina Granziera, Alessandro Daducci, Alexis Roche

Objectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). Methods: Forty-two MCI patients and 77 healthy co ...

Elsevier2015

Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model

Meritxell Bach Cuadra, Carlos Ciller

Ophthalmologists typically acquire different image modalities to diagnose eye pathologies. They comprise, e.g., Fundus photography, optical coherence tomography, computed tomography, and magnetic resonance imaging (MRI). Yet, these images are often complem ...

Ieee-Inst Electrical Electronics Engineers Inc2015

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Meritxell Bach Cuadra, Reto Meuli, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Daniel Andreas Schmitter, Gunnar Krüger, Ahmed Abdulkadir, Cristina Granziera, Alessandro Daducci, Alexis Roche

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer’s disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and e ...

Elsevier2015

Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut

Jean-Philippe Thiran, Meritxell Bach Cuadra, Olivier Cuisenaire, Xavier Bresson, Nawal Houhou, Anca-Ramona Ciurte

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the ...

Public Library Science2014

Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis

Meritxell Bach Cuadra, Alessandro Daducci, Kieran O'Brien

Connectivity analysis on diffusion MRI data of the whole- brain suffers from distortions caused by the standard echo- planar imaging acquisition strategies. These images show characteristic geometrical deformations and signal destruction that are an import ...

2014

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Meritxell Bach Cuadra, Xavier Bresson, Anca-Ramona Ciurte

This paper presents the evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012. The challenge was set to ...

Institute of Electrical and Electronics Engineers2014

MBIS: Multivariate Bayesian Image Segmentation tool

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

We present MBIS (Multivariate Bayesian Image Segmentation tool), a clustering tool based on the mixture of multivariate normal distributions model. MBIS supports multichannel bias field correction based on a B-spline model. A second methodological novelty ...

Elsevier Ireland Ltd2014

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Meritxell Bach Cuadra, Reto Meuli, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Daniel Andreas Schmitter, Gunnar Krüger, Ahmed Abdulkadir, Cristina Granziera, Alessandro Daducci, Alexis Roche

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

Proceedings of 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference2014

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