Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents

  • Alexandre Imperiale
  • Alexandre Routier
  • Stanley Durrleman
  • Philippe Moireau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7945)


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.


Data Assimilation Biomechanical Model Unscented Kalman Filter Observation Operator Medical Image Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alexandre Imperiale
    • 1
  • Alexandre Routier
    • 1
    • 2
  • Stanley Durrleman
    • 2
  • Philippe Moireau
    • 1
  1. 1.M∃DISIM TeamInria Ile-de-France SaclayPalaiseauFrance
  2. 2.ICM, Hôpital La Pitié-SalpêtrièreParisFrance

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