Yasmina Leroul Chenoune

• PhD in Engineering Sciences
• Professor (Assistant) at ESME Sudria, France

Automated extraction of quantitative parameters from Cardiac Magnetic Resonance Images (CMRI) is crucial for the management of patients with myocardial infarct. This work proposes a post-processing procedure to jointly analyze Cine and Delayed-Enhanced (DE) acquisitions in order to provide an automatic quantification of myocardial contraction and e...

Choroidal Neovascularization (CNV) is the advanced stage of Age-related Macular Degeneration (AMD), which is the leading cause of irreversible visual loss for elder people in developed countries. Optical Coherence Tomography Angiography (OCTA) is a recent non-invasive imaging technique widely used nowadays in diagnosis and follow-up of CNV. In this...

Background We aimed to provide a comprehensive aortic stiffness description using magnetic resonance imaging (MRI) in patients with ascending thoracic aorta aneurysm and tricuspid (TAV-ATAA) or bicuspid (BAV) aortic valve. Methods This case-control study included 18 TAV-ATAA and 19 BAV patients, with no aortic valve stenosis/severe regurgitation,...

Background. In recent years, deep learning has been increasingly applied to a vast array of ophthalmological diseases. Inherited retinal diseases (IRD) are rare genetic conditions with a distinctive phenotype on fundus autofluorescence imaging (FAF). Our purpose was to automatically classify different IRDs by means of FAF images using a deep learni...

Purpose To provide a comprehensive assessment of aortic stiffness, through both local and regional distensibility and pulse wave velocity (PWV), in patients with either a tricuspid (TAV) or bicuspid (BAV) aortic valve and/or aortic dilation using MRI. Methods We included 18 patients with TAV and dilated ascending aorta (DTAV, 65 ± 14 years, 11 mal...

Purpose Referral to surgery in thoracic aortic aneurysms (TAA) is based on maximal diameter (Dmax) measured from imaging, which is known to have a high diagnosis failure rate. In addition to geometry, 4D flow MRI provides a comprehensive time-resolved flow imaging. Thus, our aim was to evaluate the ability of 4D flow MRI-derived quantitative flow i...

Purpose: To provide a comprehensive assessment of aortic stiffness, through both local and regional distensibility and pulse wave velocity (PWV), in patients with either a tricuspid (TAV) or bicuspid (BAV) aortic valve and/or aortic dilation using MRI. Methods: We included 18 patients with TAV and dilated ascending aorta (DTAV, 65 ± 14 years, 11 ma...

Purpose: Referral to surgery in thoracic aortic aneurysms (TAA) is based on maximal diameter (Dmax) measured from imaging, which is known to have a high diagnosis failure rate. In addition to geometry, 4D flow MRI provides a comprehensive time-resolved flow imaging. Thus, our aim was to evaluate the ability of 4D flow MRI-derived quantitative flow...

Abstract Background Arterial pulse wave velocity (PWV) is associated with increased mortality in aging and disease. Several studies have shown the accuracy of applanation tonometry carotid-femoral PWV (Cf-PWV) and the relevance of evaluating central aorta stiffness using 2D cardiovascular magnetic resonance (CMR) to estimate PWV, and aortic distens...

Background: Endovascular embolization is a minimally invasive interventional method for the treatment of neurovascular pathologies such as aneurysms, arterial stenosis or arteriovenous malformations (AVMs). In this context, neuroradiologists need efficient tools for interventional planning and microcatheter embolization procedures optimization. Th...

Aim: Maximal diameter (Dmax), which is commonly used to diagnose thoracic aortic aneurysm (TAA) was previously shown to be normal in 20-30% of patients who ultimately develop dissection. Besides, inner aortic flow is associated with its wall dynamics. Thus, our aim was to quantify aortic flow changes using 4D flow MRI in the setting of ascending ao...

Objectives: To report the design of an automated quantification algorithm for choroidal neovascularization (CNV) in the context of neovascular age-related macular degeneration (AMD), based on Optical Coherence Tomography Angiography (OCTA) images. Material and methods: In this study, 54 patients (mean age 75.80 ± 14.29 years) with neovascular AM...

This study deals with information fusion for image segmentation. The evidence theory (or the Dempster-Shafer theory) allows the modellisation of uncertainty and imprecision in the information as well as the combination of different sources. Here, this approach is used in an unsupervised framework to combine the stochastic watershed segmentation whi...

Vascular imaging is crucial in the treatment of many diseases. In the case of cerebral ArterioVenous Mal-formation (AVM), where the vascular network can be deeply altered, an accurate knowledge of its topology is required. For this purpose, after a vessels segmentation and skeletization applied on 3D rotational angiographic images (3DRA), we build...

Diagnosis and computer-guided therapy of cerebral Arterio-Venous Malformations (AVM) require an accurate understanding of the cerebral vascular network both from structural and biomechanical point of view. We propose to obtain such information by analyzing three Dimensional Rotational Angiography (3DRA) images. In this paper, we describe a two-step...

Dans cette contribution, nous présentons une technique permettant de segmenter et de suivre un vaisseau cérébral sur des images 3DRA. Une étape de prétraitement par reconstruction géodésique est suivie d'une extraction des contours du vaisseau en utilisant deux méthodes différentes. Le tracking opère en 2D et s'adapte automatiquement pour suivre de...

Brain ArterioVenous Malformation (BAVM) is an abnormal tangle of brain blood vessels where arteries shunt directly into veins with no intervening capillary bed which causes high pressure and hemorrhage risk. The success of treatment by embolization in interventional neuroradiology is highly dependent on the accuracy of the vessels visualization. In...

Automated extraction of quantitative parameters from cardiac magnetic resonance images is crucial for the management of patients with myocardial infarct. This paper proposes a postprocessing procedure to jointly analyze Cine and delayed-enhanced (DE) acquisitions, in order to provide an automatic quantification of myocardial contraction and enhance...

For the viability assessment in patients with infarcts, myocardial hyperenhancement on Delayed-Enhancement Cardiac MRI (DE) can be anatomically localized using Cine Cardiac MRI (Cine). An automatic rigid registration method, using the Normalized Mutual Information (NMI) maximization was proposed to refine the registration of the functional (DE) and...

In this paper, a previously developed segmentation algorithm was improved by adding a fully automated definition of a region of interest around the left ventricle. The method, dedicated to cine images, proceeds in two major steps. First, heart localization was achieved by exploiting the heart's beating motion. Then, a region of interest was created...

Objective. - A new approach for evaluating tumor response to antiangiogenic treatment using dynamic contrast-enhanced perfusion computed tomography (CT) was provided. Patients and methods. - Five patients, with hepatic tumors, were examined before and a few weeks after therapy. Following injection of a contrast agent, dynamic image acquisitions wer...

An automated segmentation of the left and right ventricles on cine MRI is presented here. A rectangular region around the object of interest is defined in the original image, a morphological filter is then applied that combines openings and closings on connected sets, providing an image with homogeneous regions, which is finally segmented with an a...

The segmentation of left ventricular structures is necessary for the evaluation of the ejection fraction (EF) and the myocardial mass (LVM). A semi-automated 2D algorithm using connected filters and a deformable model allowing an accurate endocardial detection was proposed. The epicardial border was deduced using a deformable model restricted insid...

This paper deals with the registration of Magnetic Resonance (MR) and Computerized Tomography (CT) cardiac images. We use a multimodal iconic algorithm based on the maximisation of the mutual information of the joint histogram of two images. We apply it to the registration of MR and CT cardiac images. The purpose is to determine in a (3D+t) CT data...

In this paper, we present an original method to assess the deformations of the left ventricular myocardium on cardiac cine-MRI. First, a segmentation process, based on a level set method is directly applied on a 2D + t dataset to detect endocardial contours. Second, the successive segmented contours are matched using a procedure of global alignment...

We present an original algorithm to assess the deformations of the left ventricle on standard cardiac cine-MRI rather than tagged-MRI. Our results are validated by comparison with results derived from tagged image sequences that are analysed by the harmonic phase MRI (HARP MRI) method. First, a segmentation process, based on a level set method is a...

- Ce travail a pour objectif l'estimation du champ de déformation du myocarde sur des séquences d'images IRM non marquées en vue de l'évaluation de la fonction cardiaque. Nous évaluons, par une méthode de segmentation et de mise en correspondance des contours du myocarde, un champ de vitesse épars utilisé comme contrainte dans le calcul du flot opt...