Abstract
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 the true complex dynamics involved in patient’s pathology. In this paper, we present a personalisation method for a simplified ionic 3D EP model, the Mitchell-Schaeffer model. The personalisation is performed by optimising the 3D model parameters, which represent the tissue conductivity, Action Potential Duration (APD) and restitution for APD and conduction velocity, using only 2D epicardial surface data obtained ex-vivo from optical imaging of large porcine healthy hearts. We are also able to estimate all of the model parameters, thus resulting in a total heart-specific 3D EP model. Finally, we also test the sensitivity of the described personalisation results with respect to different pacing locations.
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Relan, J., Pop, M., Delingette, H., Wright, G.A., Ayache, N., Sermesant, M. (2010). Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. STACOM 2010. Lecture Notes in Computer Science, vol 6364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15835-3_28
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DOI: https://doi.org/10.1007/978-3-642-15835-3_28
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