Uncertainty propagation and sensitivity analysis: results from the Ocular Mathematical Virtual Simulator

Abstract

We propose an uncertainty propagation study and a sensitivity analysis with the Ocular Mathematical Virtual Simulator, a computational and mathematical model that predicts the hemodynamics and biomechanics within the human eye. In this contribution, we focus on the effect of intraocular pressure, retrolaminar tissue pressure and systemic blood pressure on the ocular posterior tissue vasculature. The combination of a physically-based model with experiments-based stochastic input allows us to gain a better understanding of the physiological system, accounting both for the driving mechanisms and the data variability.

Keywords

• predictive ocular vascular dynamics
• computational model
• sensitivity analysis
• ocular mathematical virtual simulator
• sobol index analysis
• uncertainty quantification