Modelling the degree of porosity of the ceramic surface intended for implants
-
Sebastian Stach
and
Zygmunt Wróbel
Abstract
The main goal of the study was to develop a model of the degree of surface porosity of a biomaterial intended for implants. The model was implemented using MATLAB. A computer simulation was carried out based on the developed model, which resulted in a two-dimensional image of the modelled surface. Then, an algorithm for computerised image analysis of the surface of the actual oxide bioceramic layer was developed, which enabled determining its degree of porosity. In order to obtain the confocal micrographs of a few areas of the biomaterial, measurements were performed using the LEXT OLS4000 confocal laser microscope. The image analysis was carried out using MountainsMap Premium and SPIP. The obtained results allowed determining the input parameters of the program, on the basis of which porous biomaterial surface images were generated. The last part of the study involved verification of the developed model. The modelling method was tested by comparing the obtained results with the experimental data obtained from the analysis of surface images of the test material.
Author Statement
Research funding: The research leading to these results has received funding from the Ministry of Science and Higher Education from the budget for science for the years 2016–2020 in the project entitled “Diamentowy Grant” (grant number: DI2015 019045), Funder Id: 10.13039/501100004569.
Conflict of interest: The authors have no conflict of interest.
Informed consent: Informed consent is not applicable.
Ethical approval: The conducted research is not related to either human or animals use.
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©2019 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Review
- The peripheral cannulas in extracorporeal life support
- Research articles
- Determination of optimal positive end-expiratory pressure based on respiratory compliance and electrical impedance tomography: a pilot clinical comparative trial
- Simulation of personalised haemodynamics by various mounting positions of a prosthetic valve using computational fluid dynamics
- Recovery of signal loss adopting the residual bootstrap method in fetal heart rate dynamics
- Optimal level and order detection in wavelet decomposition for PCG signal denoising
- Simple gastric motility assessment method with a single-channel electrogastrogram
- Analysis of on-surface and in-air movement in handwriting of subjects with Parkinson’s disease and atypical parkinsonism
- Wavelet-enhanced convolutional neural network: a new idea in a deep learning paradigm
- Digital microscopic evaluation of vertical marginal discrepancies of CAD/CAM fabricated zirconia cores
- Modelling the degree of porosity of the ceramic surface intended for implants
- How Hedstrom files fail during clinical use? A retrieval study based on SEM, optical microscopy and micro-XCT analysis
- A novel measurement strategy to evaluate the human head as a transition medium for inductive ear-to-ear communication
- Short communication
- Force plates may be used for dynamic analyses of endoprostheses explantation procedures
