Improving efficiency of data assimilation procedure for a biomechanical heart model by representing surfaces as currents

  • Authors:
  • Alexandre Imperiale;Alexandre Routier;Stanley Durrleman;Philippe Moireau

  • Affiliations:
  • M∃DISIM Team, Inria Ile-de-France Saclay, Palaiseau, France;M∃DISIM Team, Inria Ile-de-France Saclay, Palaiseau, France,ICM, Hôpital La Pitié-Salpêtrière, Paris, France;ICM, Hôpital La Pitié-Salpêtrière, Paris, France;M∃DISIM Team, Inria Ile-de-France Saclay, Palaiseau, France

  • Venue:
  • FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
  • Year:
  • 2013

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Abstract

We adapt the formalism of currents to compare data surfaces and surfaces of a mechanical model and we use this discrepancy measure to feed a data assimilation procedure. We apply our methodology to perform parameter estimation in a biomechanical model of the heart using synthetic observations of the endo- and epicardium surfaces of an infarcted left ventricle. We compare this formalism with a more classical signed distance operator between surfaces and we numerically show that we have improved the efficiency of our estimation justifying the use of state-of-the-art computational geometry formalism in the data assimilation measurements processing.