dc.creatorde Souza Santos, Daniel
dc.creatorCavalcanti Bezerra dos Santos, Leonardo
dc.creatorde Albuquerque Tavares Carvalho, Alessandra
dc.creatorCarneiro Leão, Jair
dc.creatorDelrieux, Claudio Augusto
dc.creatorStosic, Tatijana
dc.creatorStosic, Borko
dc.date.accessioned2018-06-12T18:36:37Z
dc.date.accessioned2018-11-06T13:16:59Z
dc.date.available2018-06-12T18:36:37Z
dc.date.available2018-11-06T13:16:59Z
dc.date.created2018-06-12T18:36:37Z
dc.date.issued2016-07
dc.identifierde Souza Santos, Daniel; Cavalcanti Bezerra dos Santos, Leonardo; de Albuquerque Tavares Carvalho, Alessandra; Carneiro Leão, Jair; Delrieux, Claudio Augusto; et al.; Multifractal spectrum and lacunarity as measures of complexity of osseointegration; Springer Heidelberg; Clinical Oral Investigations.; 20; 6; 7-2016; 1271-1278
dc.identifier1432-6981
dc.identifierhttp://hdl.handle.net/11336/48391
dc.identifier1436-3771
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1873802
dc.description.abstractObjectives: The goal of this study is to contribute to a better quantitative description of the early stages of osseointegration, by application of fractal, multifractal, and lacunarity analysis. Materials and methods: Fractal, multifractal, and lacunarity analysis are performed on scanning electron microscopy (SEM) images of titanium implants that were first subjected to different treatment combinations of i) sand blasting, ii) acid etching, and iii) exposition to calcium phosphate, and were then submersed in a simulated body fluid (SBF) for 30 days. All the three numerical techniques are applied to the implant SEM images before and after SBF immersion, in order to provide a comprehensive set of common quantitative descriptors. Results: It is found that implants subjected to different physicochemical treatments before submersion in SBF exhibit a rather similar level of complexity, while the great variety of crystal forms after SBF submersion reveals rather different quantitative measures (reflecting complexity), for different treatments. In particular, it is found that acid treatment, in most combinations with the other considered treatments, leads to a higher fractal dimension (more uniform distribution of crystals), lower lacunarity (lesser variation in gap sizes), and narrowing of the multifractal spectrum (smaller fluctuations on different scales). Conclusion: The current quantitative description has shown the capacity to capture the main features of complex images of implant surfaces, for several different treatments. Such quantitative description should provide a fundamental tool for future large scale systematic studies, considering the large variety of possible implant treatments and their combinations. Clinical relevance: Quantitative description of early stages of osseointegration on titanium implants with different treatments should help develop a better understanding of this phenomenon, in general, and provide basis for further systematic experimental studies. Clinical practice should benefit from such studies in the long term, by more ready access to implants of higher quality.
dc.languageeng
dc.publisherSpringer Heidelberg
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00784-015-1606-1
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00784-015-1606-1
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectDental implants
dc.subjectOsseointegration
dc.subjectFractal dimension
dc.subjectMultifractal spectrum
dc.subjectLacunarity
dc.titleMultifractal spectrum and lacunarity as measures of complexity of osseointegration
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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