Abstract
Computational models are valuable tools for understanding the mechanical function of the heart. In particular, the prospect of doing patient–specific simulations of heart function may have a significant impact on clinical practice. However, patient–specific simulations give rise to severe challenges related to model choices, parameter fitting and model validation. In this study we investigate parameter variability in a model of left ventricular mechanics applied to four different canine heart cases. The mechanics is modeled by a transversely isotropic active strain model, with two parameters adjusted to fit end diastolic and end systolic pressures and volumes. The chosen model is able to accurately reproduce these data, and enables very efficient parameter fitting. Visual inspection of the resulting deformed geometries also shows a reasonable match with the image based reference.
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Gjerald, S., Hake, J., Pezzuto, S., Sundnes, J., Wall, S.T. (2015). Patient–Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics. 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_10
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DOI: https://doi.org/10.1007/978-3-319-14678-2_10
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