Abstract
Cardiac modelling aims at understanding cardiac diseases and predicting cardiac responses to therapies. By generating the electrical propagation, the contraction and the mechanical response, we are able to simulate cardiac motion from non-invasive imaging techniques. Four healthy canine clinical data (left ventricles) were provided by the STACOM’2014 challenge. Our study is based on Bestel-Clement-Sorine mechanical modelling, while the electrophysiological phenomena is driven by an Eikonal model. Our model has been calibrated by a quantitative sensitivity study as well as a personalized automatic calibration. Results and comparison with clinical measures are shown in terms of left ventricular volume, flow, pressure and ejection fraction.
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Giffard-Roisin, S., Marchesseau, S., Le Folgoc, L., Delingette, H., Sermesant, M. (2015). Evaluation of Personalised Canine Electromechanical Models. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges. STACOM 2014. Lecture Notes in Computer Science(), vol 8896. Springer, Cham. https://doi.org/10.1007/978-3-319-14678-2_8
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DOI: https://doi.org/10.1007/978-3-319-14678-2_8
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