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Publications associées (113)

Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image Segmentation

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

In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: “Global Weighted Shape-Based Averaging” (GWSBA) and “Local Weig ...

IEEE Institute of Electrical and Electronics Engineers2013

Multi-atlas fusion methods for segmentation of head and neck lymph nodes for radiotherapy planning

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

2013

Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning

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

Accurate segmentation of lymph nodes in head and neck (H&N) CT images is essential for the radiotherapy planning of the H&N cancer. Atlas-based segmentation methods are widely used for the automated segmentation of such structures. Multi-atlas approaches a ...

Ieee2012

Brain tissue segmentation on diffusion weighted magnetic resonance data

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Alessandro Daducci, Oscar Esteban-Sanz

2012

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer

Cortical folding (gyrification) is determined during the first months of life, so that adverse events occurring during this period leave traces that will be identifiable at any age. As recently reviewed by Mangin and colleagues2, several methods exist to q ...

2012

Comparison of Energy Minimization Methods for 3-D Brain Tissue Classification

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

This paper presents 3-D brain tissue classification schemes using three recent promising energy minimization methods for Markov random fields: graph cuts, loopy belief propagation and tree-reweighted message passing. The classification is performed using t ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Active Deformation Fields: Dense Deformation Field Estimation for Atlas-based Segmentation using the Active Contour Framework

Valérie Duay, Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

This paper presents a new and original variational framework for atlas-based segmentation. The proposed framework integrates both the active contour framework, and the dense deformation fields of optical flow framework. This framework is quite general and ...

Elsevier2011

On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

Meritxell Bach Cuadra, Delphine Ribes Lemay, Gunnar Krüger, Alexis Roche

Inference of Markov random field images segmentation models is usually performed using iterative methods which adapt the well-known expectation-maximization (EM) algorithm for independent mixture models. However, some of these adaptations are ad-hoc and ma ...

2011

An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features

Jean-Philippe Thiran, Alessia Pica, Meritxell Bach Cuadra, Xavier Bresson, Nawal Houhou, Anca-Ramona Ciurte

Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm ...

2011

Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling

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

In recent years, multi-atlas fusion methods have gained significant attention in medical image segmentation. In this paper, we propose a general Markov Random Field (MRF) based framework that can perform edge-preserving smoothing of the labels at the time ...

2011

Towards a diffusion image processing validation and accuracy prediction framework

Gloria Menegaz, Jean-Philippe Thiran, Meritxell Bach Cuadra, Alia Lemkaddem, Cristina Granziera, Alessandro Daducci

Validation is the main bottleneck preventing the adoption of many medical image processing algorithms in the clinical practice. In the classical approach, a-posteriori analysis is performed based on some objective metrics. In this work, a different approac ...

2011

Review on Atlas-based Segmentation of Magnetic Resonance Brain Images

Meritxell Bach Cuadra, Mariano Cabezas Grebol

Elsevier2011

Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework

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

This paper presents the segmentation of bilateral parotid glands in the Head and Neck (H&N) CT images using an active contour based atlas registration. We compare segmentation results from three atlas selection strategies: (i) selection of “single-most-sim ...

2010

Regional cortical volumes and congenital heart disease: a MRI study in 22q11.2 deletion syndrome

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer, Maude Schneider

Children with congenital heart disease (CHD) who survive surgery often present impaired neurodevelopment and qualitative brain anomalies. However, the impact of CHD on total or regional brain volumes only received little attention. We address this question ...

2010

Segmentation of head and neck lymph node regions for radiotherapy planning, using active contour based atlas registration

Valérie Duay, Jean-Philippe Thiran, Meritxell Bach Cuadra, Nawal Houhou, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

In this paper, we present the segmentation of the head and neck lymph node regions using a new active contour based atlas registration model. We propose to segment the lymph node regions without directly including them in the atlas registration process; in ...

2009

Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection

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

This paper presents automated segmentation of structures in the Head and Neck (H&N) region, using an active contour-based joint registration and segmentation model. A new atlas selection strategy is also used. Segmentation is performed based on the dense ...

2009

A Multimodal Evaluation Method for Medical Image Segmentation

Meritxell Bach Cuadra

Evaluation of segmentation methods is a crucial aspect in image processing, especially in the medical imaging field, where small differences between segmented regions in the anatomy can be of paramount importance. Usually, segmentation evaluation is based ...

2009

Model-based Segmentation and Image Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

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

For radiotherapy treatment planning of retinoblastoma in childhood, Computed Tomography (CT) represents the standard method for tumor volume delineation, despite some inherent limitations. CT scan is very useful in providing information on physical density ...

2009

Brain tissue segmentation of fetal MR images

Jean-Philippe Thiran, Meritxell Bach Cuadra

We present a segmentation method for fetal brain tissues of T2w MR images, based on the well known Expectation Maximization Markov Random Field (EM- MRF) scheme. Our main contribution is an intensity model composed of 7 Gaussian distribution designed to de ...

2009

Congenital heart disease affects local gyrification in 22q11.2 deletion syndrome

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer

22q11.2 deletion syndrome (22q11.2DS) is a common genetic condition associated with cognitive and learning impairments. In this study, we applied a threedimensional method for quantifying gyrification at thousands of points over the cortical surface to ima ...

Wiley-Blackwell2009

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