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

TL;DR

This paper uses a computational eye model to analyze how uncertainties in pressures affect eye tissue blood flow, enhancing understanding of ocular physiology.

Contribution

It introduces an uncertainty propagation and sensitivity analysis framework applied to a detailed ocular model, integrating experimental data with stochastic inputs.

Findings

Identified key pressures influencing ocular blood flow.

Quantified variability effects on eye tissue hemodynamics.

Provided insights into physiological mechanisms under uncertainty.

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.