Iterative Methods for the Biomechanical Evaluation of Corneal Response. A Case Study in the Measurement Phase

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Título: Iterative Methods for the Biomechanical Evaluation of Corneal Response. A Case Study in the Measurement Phase
Autor/es: Gómez, Carmelo | Piñero, David P. | Paredes, Manuel | Alió, Jorge L. | Cavas Martínez, Francisco
Grupo/s de investigación o GITE: Grupo de Óptica y Percepción Visual (GOPV)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía
Palabras clave: Finite element | Biomechanical stability | Reverse modelling | Patient-specific geometric | Tomographer | CAD | Cornea
Área/s de conocimiento: Óptica
Fecha de publicación: 16-nov-2021
Editor: MDPI
Cita bibliográfica: Gómez C, Piñero DP, Paredes M, Alió JL, Cavas F. Iterative Methods for the Biomechanical Evaluation of Corneal Response. A Case Study in the Measurement Phase. Applied Sciences. 2021; 11(22):10819. https://doi.org/10.3390/app112210819
Resumen: The number of corneal surgeries steadily grew in recent years and boosted the development of corneal biomechanical models. These models can contribute to simulating surgery by reducing associated risks and the need for secondary interventions due to ectasias or other problems related to correcting other diseases. Biomechanical models are based on the geometry obtained with corneal topography, which is affected by intraocular pressure and material properties. Knowledge of stress distribution in the measurement phase is a key factor for improving the accuracy of in silico mechanical models. In this work, the results obtained by two different methods: prestress method and displacements method were compared to evaluate the stress and strain distribution in a general geometric model based on the Navarro eye geometry and two real corneal geometries. The results show that both methods are equivalent for the achievement of the stress distribution in the measurement phase. Stress distribution over the corneal geometry in the measurement phase is a key factor for accurate biomechanical simulations, and these simulations could help to develop patient-specific models and reduce the number of secondary interventions in clinical practice.
Patrocinador/es: This publication was carried out in the framework of the Thematic Network for Co‐Operative Research in Health (RETICS) reference number RD12/0034/0007 and RD16/0008/0012, financed by the Carlos III Health Institute—General Subdirection of Networks and Cooperative Investigation Centers (R&D&I National Plan 2008–2011) and the European Regional Development Fund (FEDER). The author David P. Piñero was supported by the Ministry of Economy, Industry, and Competitiveness of Spain within the program Ramón y Cajal, RYC‐2016‐20471.
URI: http://hdl.handle.net/10045/119574
ISSN: 2076-3417
DOI: 10.3390/app112210819
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/app112210819
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