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A detailed methodology to model the Non Contact Tonometry: a Fluid Structure Interaction study.
Elena Redaelli1, Jorge Grasa1,2, Begoña Calvo1,2
1Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain.
Frontiers in Bioengineering and Biotechnology
|October 21, 2022
Summary
This study developed a high-fidelity finite-element model for in silico non-contact tonometry. The model accurately simulates corneal biomechanics, crucial for understanding eye conditions and predicting refractive surgery outcomes.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Computational Mechanics
Background:
- Corneal mechanical properties are vital for studying pathologies and predicting refractive surgery outcomes.
- Non-contact tonometry (NCT) assesses corneal response in vivo using an air pulse, but biomarkers reflect global behavior, not intrinsic properties.
- Accurate modeling is needed to isolate corneal mechanical response, particularly using inverse finite element methods.
Purpose of the Study:
- To construct a high-fidelity finite-element model of an idealized 3D eye for in silico non-contact tonometry.
- To develop a fluid-structure interaction (FSI) simulation for virtual air-pulse application.
- To perform a sensitivity analysis on intraocular pressure (IOP) and material parameters influencing corneal deformation biomarkers.
Main Methods:
- Developed a 3D finite-element model of the eye, including cornea, limbus, sclera, lens, and humors.
- Implemented a fluid-structure interaction (FSI) simulation to model the air-pulse dynamics.
- Conducted a sensitivity analysis to assess the impact of IOP and tissue properties on corneal deformation.
Main Results:
- Accurate air pressure profile over the cornea is essential and requires FSI simulation.
- Anisotropic material properties for the cornea and considering scleral stiffness are crucial for accurate deformation.
- Modeling the fluid-like behavior of humors is necessary to account for IOP variations during the test.
Conclusions:
- The developed FSI model provides a robust tool for in silico NCT.
- This approach enables accurate simulation of corneal biomechanics, essential for understanding disease and surgical outcomes.
- The study highlights key factors for reliable in silico modeling: air pressure, tissue properties, and IOP dynamics.

