144687 20260217205519.0 doi 10.3389/fbioe.2024.1406870 sideral 139492 ART-2024-139492 eng Redaelli, Elena Universidad de Zaragoza Non-contact tonometry: predicting intraocular pressure using a material—corneal thickness—independent methodology 2024 Access copy available to the general public Unrestricted Introduction: Glaucoma, a leading cause of blindness worldwide, is primarily caused by elevated intraocular pressure (IOP). Accurate and reliable IOP measurements are the key to diagnose the pathology in time and to provide for effective treatment strategies. The currently available methods for measuring IOP include contact and non contact tonometers (NCT), which estimate IOP based on the corneal deformation caused by an external load, that in the case of NCT is an air pulse. The deformation of the cornea during the tonometry is the result of the coupling between the IOP, the mechanical properties of the corneal tissue, the corneal thickness, and the external force applied. Therefore, there is the need to decouple the four contributions to estimate the IOP more reliably.Methods: This paper aims to propose a new methodology to estimate the IOP based on the analysis of the mechanical work performed by the air jet and by the IOP during the NCT test. A numerical eye model is presented, initially deformed by the action of a falling mass to study the energy balance. Subsequently, Fluid-Structure Interaction (FSI) simulations are conducted to simulate the action of Corvis ST.Results and discussion: The new IOP estimation procedure is proposed based on the results of the simulations. The methodology is centred on the analysis of the time of maximum apex velocity rather than the point of first applanation leading to a new IOP estimation not influenced by the geometrical and mechanical corneal factors. info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R info:eu-repo/grantAgreement/EC/H2020/956720/EU/Opto-Biomechanical Eye Research Network/OBERON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956720-OBERON info:eu-repo/grantAgreement/ES/UZ/ICTS NANBIOSIS-U27 Unit-CIBER-BBN info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 4.8 2024 BIOTECHNOLOGY & APPLIED MICROBIOLOGY 31 / 177 = 0.175 2024 Q1 T1 ENGINEERING, BIOMEDICAL 35 / 124 = 0.282 2024 Q2 T1 0.974 2024 Biomedical Engineering 2024 Q1 Histology 2024 Q1 Biotechnology 2024 Q1 Bioengineering 2024 Q2 8.8 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Calvo, Begoña Universidad de Zaragoza (orcid)0000-0001-9713-1813 Rodriguez Matas, Jose Felix Luraghi, Giulia Grasa, Jorge Universidad de Zaragoza (orcid)0000-0002-6870-0594 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 12 (2024), 1406870 [14 pp.] Front. Bioeng. Biotechnol. Frontiers in Bioengineering and Biotechnology 2296-4185 3933797 http://zaguan.unizar.es/record/144687/files/texto_completo.pdf Versión publicada 2084293 http://zaguan.unizar.es/record/144687/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:144687 articulos driver 2026-02-17-20:27:52 ARTICLE