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Identification of the most influential factors on pulmonary artery hemodynamics using variance-based sensitivity analysis

Authors: Moradi, Hamed; Van de Vosse, Frans; Huberts, Wouter;

Identification of the most influential factors on pulmonary artery hemodynamics using variance-based sensitivity analysis

Abstract

Variance-based sensitivity analysis are useful during model personalization as they can identify which parameters are rewarding to measure patient- specifically, and which parameters can be set to a population value. The variations in parameters that determine the boundary conditions of CFD simulations significantly affect the pressure and velocity fields. In this study, we investigate the effects of these parameters on the hemodynamics in the pulmonary arteries to design our measurement protocol when advancing to patient-specific simulations.

This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578 (SIMCor - In-Silico testing and validation of Cardiovascular IMplantable devices).

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