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.
Patient–specific parameter estimation for a transversely isotropic active strain model of left ventricular mechanics / Gjerald, S.; Hake, J.; Pezzuto, S.; Sundnes, J.; Wall, S. T.. - 8896:(2015), pp. 93-104. (Intervento presentato al convegno STACOM tenutosi a Boston, MA, USA nel September 18, 2014) [10.1007/978-3-319-14678-2_10].
Patient–specific parameter estimation for a transversely isotropic active strain model of left ventricular mechanics
Pezzuto S.;
2015-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
