RT Journal Article
T1 Semi-automatic algorithm to build finite element numerical models of the human hearing system from Micro-CT data
A1 Caminos-Gámez, Luis Francisco
A1 Chaves, G.
A1 García-Manrique-Ocaña, José Manuel
A1 González-Herrera, Antonio
K1 Método de los elementos finitos
K1 Pótesis auditivas
AB AbstractFinite Element modeling has been an extended methodology to build numeri-cal model to simulate the behavior of the hearing system. Due to the complex-ity of the system and the difficulties to reduce the uncertainties of thegeometric data, they result in computationally expensive models, sometimesgeneric, representative of average geometries. It makes it difficult to validatethe model with direct experimental data from the same specimen or to estab-lish a patient-oriented modeling strategy. In the present paper, a first attemptto automatize the process of model building is made. The source informationis geometrical information obtained from CT of the different elements thatcompose the system. Importing that data, we have designed the complete pro-cedure to build a model including tympanic membrane, ossicular chain andcavities. The methodology includes the proper coupling of all the elements andthe generation of the corresponding finite element model. The whole auto-matic procedure is not complete, as we need to make some human-assisteddecisions; however, the model development time is reduced from 4 weeks toapproximately 3 days. The goal of the modeling algorithm is to build a FiniteElement Model with a limited computational cost. Several tasks as contouridentification or model decimation are designed and integrated in order to fol-low a semi-automated process that allows generating a patient-oriented model.
PB Wiley
YR 2024
FD 2024
LK https://hdl.handle.net/10630/31345
UL https://hdl.handle.net/10630/31345
LA eng
NO Caminos L, Chaves G, Garcia-Manrique J, Gonzalez-Herrera A. Semi-automatic algorithm to build finite element numerical models of the human hearing system from Micro-CT data. Int J Numer Meth Biomed Engng. 2024;e3817. doi:10.1002/cnm.3817
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026