Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle.

ABSTRACT: Patient-specific computer simulations can be a powerful tool in clinical applications, helping in diagnostics and the development of new treatments. However, its practical use depends on the reliability of the models. The construction of cardiac simulations involves several steps with inherent uncertainties, including model parameters, the generation of personalized geometry and fibre orientation assignment, which are semi-manual processes subject to errors. Thus, it is important to quantify how these uncertainties impact model predictions. The present work performs uncertainty quantification and sensitivity analyses to assess the variability in important quantities of interest (QoI). Clinical quantities are analysed in terms of overall variability and to identify which parameters are the

SUBMITTER: Campos JO 

PROVIDER: S-EPMC7287338 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature