Jerome Pousin

@insa-lyon.fr

Institut National des Sciences Appliquees de Lyon

70

Scopus Publications

1308

Scholar Citations

16

Scholar h-index

26

Scholar i10-index

Scopus Publications



  • Nearest Neighbors Strategy, P<inf>1</inf> Lagrange Interpolation, and Error Estimates for a Learning Neural Network
    Khadidja Benmansour and Jerome Pousin

    Springer Science and Business Media LLC

  • Apparent diffusion coefficient measured by diffusion MRI of moving and deforming domains
    Imen Mekkaoui, Jérôme Pousin, Jan Hesthaven, and Jing-Rebecca Li

    Elsevier BV
    The modeling of the diffusion MRI signal from moving and deforming organs such as the heart is challenging due to significant motion and deformation of the imaged medium during the signal acquisition. Recently, a mathematical formulation of the Bloch-Torrey equation, describing the complex transverse magnetization due to diffusion-encoding magnetic field gradients, was developed to account for the motion and deformation. In that work, the motivation was to cancel the effect of the motion and deformation in the MRI image and the space scale of interest spans multiple voxels. In the present work, we adapt the mathematical equation to study the diffusion MRI signal at the much smaller scale of biological cells. We start with the Bloch-Torrey equation defined on a cell that is moving and deforming and linearize the equation around the magnitude of the diffusion-encoding gradient. The result is a second order signal model in which the linear term gives the imaginary part of the diffusion MRI signal and the quadratic term gives the apparent diffusion coefficient (ADC) attributable to the biological cell. We numerically validate this model for a variety of motions and deformations.

  • Probabilistic atlas construction of human cardiac fiber structure in DT-MRI
    Feng Yang, YueMin Zhu, Lihui Wang, Marc Robini, Jerome Pousin, and Patrick Clarysse

    IEEE
    We investigate the problem of constructing statistical atlas of human cardiac fiber structure from limited number of datasets. We introduced a Parzen-Gaussian model to construct the probabilistic atlas of human cardiac fiber structure due to the fact that it can generate a general atlas using very small number of samples. Experimental results showed that atlas using Parzen-Gaussian model can avoid FA/MD collapse, which can be introduced by atlas from registered DW images and registered tensor fields.

  • A weighted finite element mass redistribution method for dynamic contact problems
    F. Dabaghi, P. Krejčí, A. Petrov, J. Pousin, and Y. Renard

    Elsevier BV
    This paper deals with a one-dimensional wave equation being subjected to a unilateral boundary condition. An approximation of this problem combining the finite element and mass redistribution methods is proposed. The mass redistribution method is based on a redistribution of the body mass such that there is no inertia at the contact node and the mass of the contact node is redistributed on the other nodes. The convergence as well as an error estimate in time are proved. The analytical solution associated with a benchmark problem is introduced and it is compared to approximate solutions for different choices of mass redistribution. However some oscillations for the energy associated with approximate solutions obtained for the second order schemes can be observed after the impact. To overcome this difficulty, an new unconditionally stable and a very lightly dissipative scheme is proposed.

  • Residual-based a posteriori error estimation for contact problems approximated by Nitsche's method
    Franz Chouly, Mathieu Fabre, Patrick Hild, Jérôme Pousin, and Yves Renard

    Oxford University Press (OUP)
    We introduce a residual-based a posteriori error estimator for contact problems in two and three dimensional linear elasticity, discretized with linear and quadratic finite elements and Nitsche's method. Efficiency and reliability of the estimator are proved under a saturation assumption. Numerical experiments illustrate the theoretical properties and the good performance of the estimator.

  • Assessment of the effect of tissue motion in diffusion MRI: Derivation of new apparent diffusion coefficient formula
    Elie Bretin, , Imen Mekkaoui, and Jérôme Pousin

    American Institute of Mathematical Sciences (AIMS)
    We investigate in this paper the diffusion magnetic resonance imaging (MRI) in deformable organs such as the living heart. The difficulty comes from the hight sensitivity of diffusion measurement to tissue motion. Commonly in literature, the diffusion MRI signal is given by the complex magnetization of water molecules described by the Bloch-Torrey equation. When dealing with deformable organs, the Bloch-Torrey equation is no longer valid. Our main contribution is then to introduce a new mathematical description of the Bloch-Torrey equation in deforming media. In particular, some numerical simulations are presented to quantify the influence of cardiac motion on the estimation of diffusion. Moreover, based on a scaling argument and on an asymptotic model for the complex magnetization, we derive a new apparent diffusion coefficient formula. Finally, some numerical experiments illustrate the potential of this new version which gives a better reconstruction of the diffusion than using the classical one.

  • An overview of recent results on Nitsche’s method for contact problems
    Franz Chouly, Mathieu Fabre, Patrick Hild, Rabii Mlika, Jérôme Pousin, and Yves Renard

    Springer International Publishing
    We summarize recent achievements in applying Nitsche's method to some contact and friction problems. We recall the setting of Nitsche's method in the case of unilateral contact with Tresca friction in linear elasticity. Main results of the numerical analysis are detailed: consistency, well-posedness, fully optimal convergence in $H^1(\\Omega)$-norm, residual-based a posteriori error estimation. Some numerics and some recent extensions to multi-body contact, contact in large transformations and contact in elastodynamics are presented as well.

  • Quantifying the effect of tissue deformation on diffusion-weighted MRI: A mathematical model and an efficient simulation framework applied to cardiac diffusion imaging
    Imen Mekkaoui, Kevin Moulin, Pierre Croisille, Jerome Pousin, and Magalie Viallon

    IOP Publishing
    Cardiac motion presents a major challenge in diffusion weighted MRI, often leading to large signal losses that necessitate repeated measurements. The diffusion process in the myocardium is difficult to investigate because of the unqualified sensitivity of diffusion measurements to cardiac motion. A rigorous mathematical formalism is introduced to quantify the effect of tissue motion in diffusion imaging. The presented mathematical model, based on the Bloch-Torrey equations, takes into account deformations according to the laws of continuum mechanics. Approximating this mathematical model by using finite elements method, numerical simulations can predict the sensitivity of the diffusion signal to cardiac motion. Different diffusion encoding schemes are considered and the diffusion weighted MR signals, computed numerically, are compared to available results in literature. Our numerical model can identify the existence of two time points in the cardiac cycle, at which the diffusion is unaffected by myocardial strain and cardiac motion. Of course, these time points depend on the type of diffusion encoding scheme. Our numerical results also show that the motion sensitivity of the diffusion sequence can be reduced by using either spin echo technique with acceleration motion compensation diffusion gradients or stimulated echo acquisition mode with unipolar and bipolar diffusion gradients.

  • A robust finite element redistribution approach for elastodynamic contact problems
    Farshid Dabaghi, Adrien Petrov, Jérôme Pousin, and Yves Renard

    Elsevier BV
    Abstract This paper deals with a one-dimensional elastodynamic contact problem and aims to highlight some new numerical results. A new proof of existence and uniqueness results is proposed. More precisely, the problem is reformulated as a differential inclusion problem, the existence result follows from some a priori estimates obtained for the regularized problem while the uniqueness result comes from a monotonicity argument. An approximation of this evolutionary problem combining the finite element method as well as the mass redistribution method which consists on a redistribution of the body mass such that there is no inertia at the contact node, is introduced. Then two benchmark problems, one being new with convenient regularity properties, together with their analytical solutions are presented and some possible discretizations using different time-integration schemes are described. Finally, numerical experiments are reported and analyzed.

  • A fictitious domain method for frictionless contact problems in elasticity using Nitsche’s method
    Mathieu Fabre, Jérôme Pousin, and Yves Renard

    Cellule MathDoc/CEDRAM
    In this paper, we develop and analyze a finite element fictitious domain approach based on Nitsche's method for the approximation of frictionless contact problems of two deformable elastic bodies. In the proposed method, the geometry of the bodies and the boundary conditions, including the contact condition between the two bodies, are described independently of the mesh of the fictitious domain. We prove that the optimal convergence is preserved. Numerical experiments are provided which confirm the correct behavior of the proposed method.

  • Extraction and segmentation of structures in image sequences
    Olivier Bernard, Patrick Clarysse, Thomas Dietenbeck, Denis Friboulet, Stéphanie Jehan-Besson, and Jérome Pousin

    John Wiley & Sons, Inc.
    The analysis of imaged anatomical or biological structures and of their dynamics is an important task in terms of application and therefore of diagnostics. Such an analysis involves in the first place the extraction of these structures from the acquired images according to a given modality, which corresponds, in image processing terminology, to a segmentation phase. Segmentation methods are conventionally qualified as “region-based approaches” or “contour-based approaches”. The two types of information – image properties and a priori constraints – must be integrated into a common formalism, itself numerically implemented as an algorithm. This chapter details more particularly two deformable model approaches: deformable templates (DTs) and variational active contours. It presents the implementation of variational active contour methods in cardiac imaging, describing the choices carried out. The chapter focuses on two examples of active contours, applied to the segmentation of cardiac ultrasound images in 2D and 3D ultrasound echography

  • Motion estimation and analysis
    Patrick Clarysse and Jérome Pousin

    John Wiley & Sons, Inc.

  • Multimodal quantification and validation of 3D regional myocardial function
    C. Beitone, K. Bianchi, P. Bouges, R. Stoica, V. Tuyisenge, L. Cassagnes, F. Chausse, P. Clarysse, G. Clerfond, P. Croisille,et al.

    Elsevier BV
    The aim of this project is to design a generic formalism for parietal and regional tracking of the left ventricle (LV) and to adapt it to 3D+t3D+t cardiac imaging modalities used in clinical routine (echocardiography, gated-SPECT, cine-MRI). The estimated displacement field must be reliable enough and insensitive to various artifacts to assess regional myocardial function in 3D from the accurate and precise computation of strain. The strain has recently proved to be of great interest for diagnosis and prognostic in cardiology, but its interpretation remains difficult because of the relative nature of the indices. The clinical objective of the 3DStrain project is to bring answers about the knowledge of normality.

  • Singular perturbations for a problem of cardiac images tracking
    Khadidja Benmansour and Jérôme Pousin

    IOS Press
    The result presented in this article is an adaptation of the gradient flow technique applied to a periodic problem combined with a singular perturbation method. The motivation for considering such a question originates from problems of cardiac images segmentation and of tracking cardiac images in medical image analysis. The 'elastic deformable template' model introduced previously for image segmentation is improved and adapted to the image tracking problem. A result of convergence is proved, for a periodic linear elastic model, the elastic tensor of which vanishes, when the parameter associated to the quasi-static technique goes to infinity.

  • Numerical study of convergence of the mass redistribution method for elastodynamic contact problems


  • Convergence of mass redistribution method for the one-dimensional wave equation with a unilateral constraint at the boundary
    Farshid Dabaghi, Adrien Petrov, Jérôme Pousin, and Yves Renard

    EDP Sciences
    This paper focuses on a one-dimensional wave equation being subjected to a unilateral boundary condition. Under appropriate regularity assumptions on the initial data, a new proof of existence and uniqueness results is proposed. The mass redistribution method, which is based on a redistribution of the body mass such that there is no inertia at the contact node, is introduced and its convergence is proved. Finally, some numerical experiments are reported.

  • A numerical schema for the transport of nutrients and hormones in plant growth
    S. Boujena, A. Chiboub, and J. Pousin

    Springer Science and Business Media LLC
    Classical numerical methods exhibit numerical discrepancies, when we are dealing with the transport equation in domain of heterogeneous sizes. In this work, a numerical scheme, based on a domain decomposition strategy is built to avoid numerical discrepancies. Let us mention that this work is inspired from the results given in Picq and Pousin (Variational reduction for the transport equation and plants growth, 2007).

  • Integrating fiber orientation constraint into a spatio-temporal FEM model for heart borders and motion tracking in dynamic MRI
    Răzvan Stoica, Jérôme Pousin, Christopher Casta, Pierre Croisille, Yue-Min Zhu, and Patrick Clarysse

    Springer Berlin Heidelberg
    The dynamic deformable elastic template (DET) model has been previously introduced for the retrieval of personalized anatomical and functional models of the heart from dynamic cardiac image sequences. The dynamic DET model is a finite element deformable model, for which the minimum of the energy must satisfy a simplified equation of Dynamics. In this paper, we extend the model by integrating fiber constraints in order to improve the retrieval of cardiac deformations from cinetic magnetic resonance imaging (cineMRI). Evaluation conducted until now on cine MRI sequences shows an improvement of the recovery of the motion in images that present a low level of obvious rotation.

  • On a derived non linear model in image restoration


  • A posteriori estimate and asymptotic partial domain decomposition
    Gustavo C. Buscaglia, Jérôme Pousin, and Kamel Slimani

    Informa UK Limited
    The method of asymptotic partial decomposition of a domain aims at replacing a 3D or 2D problem by a hybrid problem 3D − 1D; or 2D − 1D, where the dimension of the problem decreases in part of the domain. The location of the junction between the heterogeneous problems is asymptotically estimated in certain circumstances, but for numerical simulations it is important to be able to determine the location of the junction accurately. In this article, by reformulating the problem in a mixed formulation context and by using an a posteriori error estimate, we propose an indicator of the error due to a wrong position of the junction. Minimizing this indicator allows us to determine accurately the location of the junction. Some numerical results are presented for a toy problem.

  • Optimal extended optical flow and statistical constraints: A result of convergence
    Patrick Clarysse, Martine Picq, and Jérôme Pousin

    Elsevier BV
    This work was motivated by the necessity of defining and computing a solution @r of a transport equation (1)@?"t@r+v@?@?"x@r=f(t,x,@r). subject to a non-convex pointwise constraint @r@?C. For when the velocity v is a regular function and when f is a Lipschitz function, in [9] sufficient conditions are given for the solution to the transport equation (15) to satisfy such a constraint. In this paper an algorithm for computing a relaxed solution is investigated.

  • Solving a linear conservation law subject to initial and final conditions
    Olivier Besson and Jérôme Pousin

    IOP Publishing
    An existence and uniqueness result for a linear conservation law subject to the initial and final conditions by using a spacetime least-squares formulation is proved. Some numerical simulations of a linear conservation law with a non-well-known velocity field are shown. An application to cardiac image reconstruction is presented.

  • Transport equation reduction for a mathematical model in plant growth
    S. Boujena, A. Chiboub, and J. Pousin

    EDP Sciences
    In this article a variational reduction method, how to handle the case of heterogenous domains for the Transport equation, is presented. This method allows to get rid of the restrictions on the size of time steps due to the thin parts of the domain. In the thin part of the domain, only a differential problem, with respect to the space variable, is to be approximated numerically. Numerical results are presented with a simple example. The variational reduction method can be extended to thin domains multi-branching in 3 dimensions, which is a work in progress.

RECENT SCHOLAR PUBLICATIONS

  • Some elliptic second order problems and neural network solutions: Existence and error estimates
    J Pousin
    Journal of Computational and Applied Mathematics 436, 115398 2024

  • A mathematical model of COVID-19: Analysis and identification of parameters for better decision making
    O Diallo, Y Kone, C Sanogo
    Applied Mathematics 13 (2), 205-214 2022

  • Least squares formulations for some elliptic second order problems, feedforward neural network solutions and convergence results
    J Pousin
    Journal of Computational Mathematics and Data Science 2, 100023 2022

  • Nearest Neighbors Strategy, Lagrange Interpolation, and Error Estimates for a Learning Neural Network
    K Benmansour, J Pousin
    SN Computer Science 2 (1), 38 2021

  • Apparent diffusion coefficient measured by diffusion MRI of moving and deforming domains
    I Mekkaoui, J Pousin, J Hesthaven, JR Li
    Journal of Magnetic Resonance 318, 106809 2020

  • Effective diffusion tensor measured by diffusion MRI of moving and deforming domains
    I Mekkaoui, J Pousin, JS Hesthaven, JR Li
    Journal of Magnetic Resonance 2020

  • A weighted finite element mass redistribution method for dynamic contact problems
    F Dabaghi, P Krejč, A Petrov, J Pousin, Y Renard
    Journal of Computational and Applied Mathematics 345, 338-356 2019

  • Probabilistic Atlas Construction of Human Cardiac Fiber Structure in DT-MRI
    F Yang, YM Zhu, L Wang, M Robini, J Pousin, P Clarysse
    2018 14th IEEE International Conference on Signal Processing (ICSP), 1154-1157 2018

  • Residual-based a posteriori error estimation for contact problems approximated by Nitsche’s method
    F Chouly, M Fabre, P Hild, J Pousin, Y Renard
    IMA Journal of Numerical Analysis 38 (2), 921-954 2018

  • Assessment of the effect of tissue motion in diffusion MRI: Derivation of new apparent diffusion coefficient formula
    E Bretin, I Mekkaoui, J Pousin
    2017

  • A new method for determining the weights in multi-criteria decision making based on ordinal ranking of criteria and Lagrange multiplier
    A Bouhedja, J Pousin
    Metallurgical and Mining Industry, 22-31 2017

  • An improved nonlinear model for image restoration
    S Boujena, E Guarmah, O Guasnouane, J Pousin
    Pure and Applied Functional 2 (4), 599-623 2017

  • An overview of recent results on Nitsche’s method for contact problems
    F Chouly, M Fabre, P Hild, R Mlika, J Pousin, Y Renard
    Geometrically Unfitted Finite Element Methods and Applications: Proceedings 2017

  • Controlling the spurious oscillations in a least squares formulation of the transport equation approximated with space-time finite element.
    K Benmansour, E Bretin, L Piffet, J Pousin
    2016

  • Quantifying the effect of tissue deformation on diffusion-weighted MRI: a mathematical model and an efficient simulation framework applied to cardiac diffusion imaging
    I Mekkaoui, K Moulin, P Croisille, J Pousin, M Viallon
    Physics in Medicine & Biology 61 (15), 5662 2016

  • A robust finite element redistribution approach for elastodynamic contact problems
    F Dabaghi, A Petrov, J Pousin, Y Renard
    Applied Numerical Mathematics 103, 48-71 2016

  • SMAI-JCM
    M Fabre, J Pousin, Y Renard
    2016

  • A model of elasticity taking into account the displacement orientation in the deformation
    A Azzayani, S Boujena, J Pousin
    Br. J. Math. Comput. Sci. 2016

  • A fictitious domain method for frictionless contact problems in elasticity using Nitsche’s method
    M Fabre, J Pousin, Y Renard
    The SMAI journal of computational mathematics 2, 19-50 2016

  • Motion Estimation and Analysis
    P Clarysse, J Pousin
    Multi‐Modality Cardiac Imaging: Processing and Analysis, 65-101 2015

MOST CITED SCHOLAR PUBLICATIONS

  • Blood compartmental metabolism of docosahexaenoic acid (DHA) in humans after ingestion of a single dose of [13C] DHA in phosphatidylcholine
    D Lemaitre-Delaunay, C Pachiaudi, M Laville, J Pousin, M Armstrong, ...
    Journal of lipid research 40 (10), 1867-1874 1999
    Citations: 187

  • Consistency, stability, a priori and a posteriori errors for Petrov-Galerkin methods applied to nonlinear problems
    J Pousin, J Rappaz
    Numerische Mathematik 69, 213-231 1994
    Citations: 139

  • Human plasma albumin transports [13C] docosahexaenoic acid in two lipid forms to blood cells
    N Brossard, M Croset, S Normand, J Pousin, J Lecerf, M Laville, JL Tayot, ...
    Journal of lipid research 38 (8), 1571-1582 1997
    Citations: 115

  • A dynamic elastic model for segmentation and tracking of the heart in MR image sequences
    J Schaerer, C Casta, J Pousin, P Clarysse
    Medical Image Analysis 14 (6), 738-749 2010
    Citations: 110

  • An overview of recent results on Nitsche’s method for contact problems
    F Chouly, M Fabre, P Hild, R Mlika, J Pousin, Y Renard
    Geometrically Unfitted Finite Element Methods and Applications: Proceedings 2017
    Citations: 96

  • Diffusion and dissolution in a reactive porous medium: Mathematical modelling and numerical simulations
    P Moszkowicz, J Pousin, F Sanchez
    Journal of Computational and Applied Mathematics 66 (1-2), 377-389 1996
    Citations: 53

  • Ingalit de Poincar courbe pour le traitement variationnel de l'quation de transport
    P Azrad, J Pousin
    Comptes rendus de l'Acadmie des sciences. Srie 1, Mathmatique 322 (8 1996
    Citations: 38

  • Solutions for linear conservation laws with velocity fields in
    O Besson, J Pousin
    Archive for Rational Mechanics and Analysis 186 (1), 159-175 2007
    Citations: 35

  • Residual-based a posteriori error estimation for contact problems approximated by Nitsche’s method
    F Chouly, M Fabre, P Hild, J Pousin, Y Renard
    IMA Journal of Numerical Analysis 38 (2), 921-954 2018
    Citations: 33

  • A nonlinear elastic deformable template for soft structure segmentation: application to the heart segmentation in MRI
    Y Rouchdy, J Pousin, J Schaerer, P Clarysse
    Inverse Problems 23 (3), 1017 2007
    Citations: 32

  • A fictitious domain method for frictionless contact problems in elasticity using Nitsche’s method
    M Fabre, J Pousin, Y Renard
    The SMAI journal of computational mathematics 2, 19-50 2016
    Citations: 31

  • Convergence of mass redistribution method for the one-dimensional wave equation with a unilateral constraint at the boundary
    F Dabaghi, A Petrov, J Pousin, Y Renard
    ESAIM: Mathematical Modelling and Numerical Analysis 48 (4), 1147-1169 2014
    Citations: 21

  • Evaluation of the dynamic deformable elastic template model for the segmentation of the heart in MRI sequences
    C Casta, P Clarysse, J Schaerer, J Pousin
    MIDAS J-Card MR Left Ventricle Segmentation Challenge 2009
    Citations: 20

  • Diffusion and dissolution/precipitation in an open porous reactive medium
    E Maisse, J Pousin
    Journal of computational and applied mathematics 82 (1-2), 279-290 1997
    Citations: 19

  • Simultaneous segmentation of the left and right heart ventricles in 3D cine MR images of small animals
    J Schaerer, Y Rouchdy, P Clarysse, B Hiba, P Croisille, J Pousin, ...
    Computers in Cardiology, 2005, 231-234 2005
    Citations: 17

  • Quantifying the effect of tissue deformation on diffusion-weighted MRI: a mathematical model and an efficient simulation framework applied to cardiac diffusion imaging
    I Mekkaoui, K Moulin, P Croisille, J Pousin, M Viallon
    Physics in Medicine & Biology 61 (15), 5662 2016
    Citations: 16

  • FEM implementation for the asymptotic partial decomposition
    F Fontvieille, GP Panasenko, J Pousin
    Applicable Analysis 86 (5), 519-536 2007
    Citations: 16

  • Infinitely fast kinetics for dissolution and diffusion in open reactive systems
    J Pousin
    Nonlinear Analysis-Series A Theory and Methods and Series B Real World 2000
    Citations: 15

  • A robust finite element redistribution approach for elastodynamic contact problems
    F Dabaghi, A Petrov, J Pousin, Y Renard
    Applied Numerical Mathematics 103, 48-71 2016
    Citations: 14

  • Consistance, stabilit, erreurs a priori et a posteriori pour des problmes non linaires
    J Pousin, J Rappaz
    Comptes rendus de l'Acadmie des sciences. Srie 1, Mathmatique 312 (9 1991
    Citations: 14