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Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images

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Book cover Functional Imaging and Modeling of the Heart (FIMH 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2230))

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Abstract

We present a 3D numerical representation of the heart which couples the electrical and biomechanical models. To achieve this, the FitzHugh-Nagumo equations are solved along with a constitutive law based on the Hill-Maxwell rheological law. Ultimately, the parameters of this generic model will be adjusted by comparing the actual patient’s ECG with computational results and the deformation of the biomechanical model with the geometric information extracted from the ultrasound images of the patient’s heart.

Corresponding Author: Maxime.Sermesant@inria.fr

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References

  1. A.L. Bardou, P.M. Auger, P.J. Birkui, and J.L. Chass. Modeling of cardiac electrophysiological mechanisms: From action potential genesis to its propagation in myocardium. Critical Reviews in Biomedical Engineering, 24:141–221, 1996.

    Google Scholar 

  2. O. Berenfeld and J. Jalife. Purkinje-muscle rentry as a mechanism of polymorphic ventricular arrhytmias in a 3-dimensional model of the ventricles. Circ. Res., 82:1063–1077, 1998.

    Google Scholar 

  3. J. Bestel, F. Clément, and M. Sorine. A biomechanical model of muscle contraction. InMedical Image Computing and Computer-Assisted intervention (MICCAI’01), 2001.

    Google Scholar 

  4. J. Bestel and M. Sorine. A differential model of muscle contraction and applications. In Schloessman Seminar on Mathematical Models in Biology, Chenistry and Physics, 2000.

    Google Scholar 

  5. D. Durrer, R.T. van Dam, G.E Freud, M.J. Janse, F.L. Miejler, and R.C. Arzbaecher. Total excitation of the isolated human heart. Circulation, 41:899–912, 1970.

    Google Scholar 

  6. A.V. Hill. The heat of shortening and the dynamic constants in muscle. Proc. Roy. Soc. London, 126:136–165, 1938.

    Google Scholar 

  7. A.V. Holden and A.V. Panfilov. Computational biology of the heart, chapter Modelling propagation in excitable media, pages 65–99. John Wiley & Sons, 1996.

    Google Scholar 

  8. Z. Knudsen, A.V. Holden, and J. Brindley. Qualitative modelling of mechano electrical feedback in a ventricular cell. Bulletin of mathematical biology, 6(59):115–181, 1997.

    Google Scholar 

  9. M. Nash. Mechanics and Material Properties of the Heart using an Anatomically Accurate Mathematical Model. PhD thesis, University ofAuckland, 1998.

    Google Scholar 

  10. A.V. Panfilov and A.V. Holden. Computer-simulation of reentry sources in myocardiumin 2 and 3 dimensions. Journal of Theoretical Biology, 3(161):271–285, 1993.

    Article  Google Scholar 

  11. X. Papademetris, A.J. Sinusas, D.P. Dione, and J.S. Duncan. Estimation of 3D left ventricle deformation from echocardiography. Medical Image Analysis, 5(1):17–28, 2001.

    Article  Google Scholar 

  12. Q.C. Pham, F. Vincent, P. Clarysse, P. Croisille, and I. Magnin. A FEM-based deformable model for the 3D segmentation and tracking of the heart in cardiac mri. In Image and Signal Processing and Analysis (ISPA’01), 2001.

    Google Scholar 

  13. A.E. Pollard, N. Hooke, and C.S. Henriquez. Cardiac propagation simulation. Critical Reviews in biomedical Engineering, 20(3,4):171–210, 1992.

    Google Scholar 

  14. J. Rogers, M. Courtemanche, and A. McCulloch. Computational biology of the heart, chapter Finite element methods for modelling impulse propagation in the heart, pages 217–233. John Wiley & Sons, 1996.

    Google Scholar 

  15. M. Sermesant, Y. Coudière, H. Delingette, N. Ayache, and J.A. Désidéri. An electro-mechanical model of the heart for cardiac image segmentation. In Medical Image Computing and Computer-Assisted intervention (MICCAI’01), 2001.

    Google Scholar 

  16. J. Smoller. Shock Waves and Reaction-Diffusion Equations. Springer-Verlag (Grundlehren der mathematischen Wissenschaften 258), 1983.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Épidaure Research Project, INRIA Sophia Antipolis, 2004 route des Lucioles, 06902, Sophia Antipolis, France

    N. Ayache, H. Delingette & M. Sermesant

  2. Sinus Research Project, INRIA Sophia Antipolis, France

    Y. Coudière & J. A. Désidéri

  3. Macs Research Project, INRIA Rocquencourt, France

    D. Chapelle & J. M. Urquiza

  4. Sosso Research Project, INRIA Rocquencourt, France

    F. Clément & M. Sorine

Authors
  1. N. Ayache
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  2. D. Chapelle
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  3. F. Clément
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  4. Y. Coudière
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  5. H. Delingette
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  6. J. A. Désidéri
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  7. M. Sermesant
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  8. M. Sorine
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  9. J. M. Urquiza
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Editor information

Editors and Affiliations

  1. Helsinki University of Technology, Institute of Biomedical Engineering, P.O.Box 2200, 02015, Finland

    Toivo Katila  & Jukka Nenonen  & 

  2. bâtiment Blaise Pascal, CREATIS, CNRS, INSA, 20, boulevard Albert Einstein, 69621, Villeurbanne cedex, France

    Isabelle E. Magnin , Patrick Clarysse  & Johan Montagnat ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Ayache, N. et al. (2001). Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images. In: Katila, T., Nenonen, J., Magnin, I.E., Clarysse, P., Montagnat, J. (eds) Functional Imaging and Modeling of the Heart. FIMH 2001. Lecture Notes in Computer Science, vol 2230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45572-8_17

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  • DOI: https://doi.org/10.1007/3-540-45572-8_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42861-9

  • Online ISBN: 978-3-540-45572-1

  • eBook Packages: Springer Book Archive

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