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Featured researches published by Alexandre Franquet.


Computer Methods in Biomechanics and Biomedical Engineering | 2012

Identification of heterogeneous elastic properties in stenosed arteries: a numerical plane strain study

Alexandre Franquet; Stéphane Avril; Pierre Badel; Rodolphe Le Riche

Assessing the vulnerability of atherosclerotic plaques requires an accurate knowledge of the mechanical properties of the plaque constituents. It is possible to measure displacements in vivo inside a plaque using magnetic resonance imaging. An important issue is to solve the inverse problem that consists in estimating the elastic properties inside the plaque from measured displacements. This study focuses on the identifiability of elastic parameters, e.g. on the compromise between identification time and identification accuracy. An idealised plane strain finite element (FE) model is used. The effects of the FE mesh of the a priori assumptions about the constituents, of the measurement resolution and of the data noise are numerically investigated.


IEEE Transactions on Medical Imaging | 2013

A New Method for the In Vivo Identification of Mechanical Properties in Arteries From Cine MRI Images: Theoretical Framework and Validation

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel; Fabien Schneider; Zhi-Yong Li; Christian Boissier; Jean Pierre Favre

Quantifying the stiffness properties of soft tissues is essential for the diagnosis of many cardiovascular diseases such as atherosclerosis. In these pathologies it is widely agreed that the arterial wall stiffness is an indicator of vulnerability. The present paper focuses on the carotid artery and proposes a new inversion methodology for deriving the stiffness properties of the wall from cine-MRI (magnetic resonance imaging) data. We address this problem by setting-up a cost function defined as the distance between the modeled pixel signals and the measured ones. Minimizing this cost function yields the unknown stiffness properties of both the arterial wall and the surrounding tissues. The sensitivity of the identified properties to various sources of uncertainty is studied. Validation of the method is performed on a rubber phantom. The elastic modulus identified using the developed methodology lies within a mean error of 9.6%. It is then applied to two young healthy subjects as a proof of practical feasibility, with identified values of 625 kPa and 587 kPa for one of the carotid of each subject.


Journal of The Mechanical Behavior of Biomedical Materials | 2013

Identification of the in vivo elastic properties of common carotid arteries from MRI: a study on subjects with and without atherosclerosis.

Alexandre Franquet; Stéphane Avril; R. Le Riche; Pierre Badel; Fabien Schneider; Christian Boissier; J-P. Favre

The stiffness of the arterial wall, which is modified by many cardiovascular diseases such as atherosclerosis, is known to be an indicator of vulnerability. This work focuses on the in vivo quantification of the stiffness of the common carotid artery (CCA) by applying the Magnitude Based Finite Element Model Updating (MB-FEMU) method to 13 healthy and diseased volunteers aged from 24 to 76 years old. The MB-FEMU method is based on the minimisation of the deviation between the image of a deformed artery and a registered image of this artery deformed by means of a finite elements analysis. Cross sections of the neck of each subject at different times of the cardiac cycle are recorded using a Phase Contrast cine-MRI. Applanation tonometry is then performed to obtain the blood pressure variations in the CCA throughout a heart beat. First, a time averaged elastic modulus of each CCA between diastole and systole is identified and a stiffening of the artery with age and disease is observed. Second, four elastic moduli are identified during a single heart beat for each artery, highlighting the nonlinear mechanical behaviour of the artery. A stiffening of the artery is observed and quantified at systole in comparison to diastole.


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2013

A new method for the in vivo identification of mechanical properties in arteries from cine MRI images: Theoretical framework and validation

Alexandre Franquet; Stéphane Avril; R. Le Riche; Pierre Badel; Fabien Schneider; Zhi-Yong Li; Christian Boissier; Jean-Pierre Favre


Euromech 534 colloquium on Advanced experimental approaches and inverse problems in tissue biomechanics | 2012

Original identification method based on image registration and FEA for the in vivo estimation of arteries elastic properties

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel; Fabien Schneider; Chrisitan Boissier; Jean-Pierre Favre


ESMC 2012, 8th european conference on solid mechanics | 2012

In Vivo Mechanical Properties of Arteries: a Novel Identification Method Based on FEA and Image Registration

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel; Fabien Schneider; Chrisitan Boissier; Jean-Pierre Favre


8th European Solid Mechanics Conference (ESMC8 2012) | 2012

in vivo mechanical properties of arteries: A nouvel identification method based on fea and image registration

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel; Fabrice Schneider; Christian Boissier; Jean-Pierre Favre


SEM 2011 Annual Conference & Exposition on Experimental and Applied Mechanics | 2011

Identification of elastic properties of stenosed arteries from MRI Data

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel


Journée thématique AFM Méthodes numériques & méthodologies avancées pour les problèmes inverses en mécanique | 2011

Identification des propriétes élastiques hétérogènes des artères à partir de clichés IRM

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel


9th Intl. Symposium Computer Mehtods in Biomechanics and Biomedical Engineering 2010 | 2010

Recovering young moduli in heterogeneous stenosed carotid arteries: a numerical plane strain study

Alexandre Franquet; Stéphane Avril; Rodolphe Le Riche; Pierre Badel

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J-P. Favre

Jean Monnet University

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