Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI

  • Jatin Relan
  • Maxime Sermesant
  • Hervé Delingette
  • Nicholas Ayache
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7085)


Personalisation, i.e. parameter estimation of a cardiac ElectroPhysiology (EP) model is needed to build patient-specific models, which could then be used to understand and predict the complex dynamics involved in patient’s pathology. In this paper, we present an EP model personalisation approach applied to an infarcted porcine heart, using contact mapping data and Diffusion Tensor MRI. The contact mapping data was gathered during normal sinus rhythm, on the ventricles in-vivo, endocardially as well as epicardially, using a CARTO mapping system. The Diffusion Tensor MRI was then obtained ex-vivo, in order to have the true cardiac fibre orientations, for the infarcted heart. Both datasets were then used to build and personalise the 3D ventricular electrophysiological model, with the proposed personalisation approach. Secondly, the effect of using only endocardial mapping or epicardial mapping measurements, on the personalised EP model was also tested.


Normal Sinus Rhythm Contact Mapping Cardiac Electrophysiology Epicardial Surface Extracellular Potential 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jatin Relan
    • 1
  • Maxime Sermesant
    • 1
  • Hervé Delingette
    • 1
  • Nicholas Ayache
    • 1
  1. 1.Inria, Asclepios ProjectSophia AntipolisFrance

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