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Erschienen in: Clinical Oral Investigations 6/2016

06.10.2015 | Original Article

Multifractal spectrum and lacunarity as measures of complexity of osseointegration

verfasst von: Daniel de Souza Santos, Leonardo Cavalcanti Bezerra dos Santos, Alessandra de Albuquerque Tavares Carvalho, Jair Carneiro Leão, Claudio Delrieux, Tatijana Stosic, Borko Stosic

Erschienen in: Clinical Oral Investigations | Ausgabe 6/2016

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Abstract

Objectives

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.
Literatur
1.
Zurück zum Zitat Layrolle P, Amouriq Y, Le Gunnec L, Soueidan A (2007) Surface treatments of titanium dental implants for rapid osseointegration. Dent Mater 23:844–854CrossRefPubMed Layrolle P, Amouriq Y, Le Gunnec L, Soueidan A (2007) Surface treatments of titanium dental implants for rapid osseointegration. Dent Mater 23:844–854CrossRefPubMed
2.
Zurück zum Zitat Bagno A, Di Bello C (2004) Surface treatments and roughness properties of Ti-based biomaterials. J Mater Sci Mater Med 15:935–949CrossRefPubMed Bagno A, Di Bello C (2004) Surface treatments and roughness properties of Ti-based biomaterials. J Mater Sci Mater Med 15:935–949CrossRefPubMed
3.
Zurück zum Zitat Malhi Y, Román-Cuesta RM (2008) Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies. Remote Sens Environ 112:2074–2087CrossRef Malhi Y, Román-Cuesta RM (2008) Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies. Remote Sens Environ 112:2074–2087CrossRef
4.
Zurück zum Zitat Velazquez-Camilo O, Bolaños-Reynoso E, Rodriguez E, Alvarez-Ramirez J (2010) Characterization of cane sugar crystallization using image fractal analysis. J Food Eng 100:77–84CrossRef Velazquez-Camilo O, Bolaños-Reynoso E, Rodriguez E, Alvarez-Ramirez J (2010) Characterization of cane sugar crystallization using image fractal analysis. J Food Eng 100:77–84CrossRef
5.
Zurück zum Zitat Caniego FJ, Espejo R, Martin MA, San José F (2005) Multifractal scaling of soil spatial variability. Ecol Model 182:291–303CrossRef Caniego FJ, Espejo R, Martin MA, San José F (2005) Multifractal scaling of soil spatial variability. Ecol Model 182:291–303CrossRef
6.
Zurück zum Zitat Sachs D, Lovejoy S, Schertzer D (2002) The multifractal scaling of cloud radiances from 1m to 1km. Fractals 10:253–257CrossRef Sachs D, Lovejoy S, Schertzer D (2002) The multifractal scaling of cloud radiances from 1m to 1km. Fractals 10:253–257CrossRef
7.
Zurück zum Zitat Chung HW, Huang YH (2000) Fractal analysis of nuclear medicine images for the diagnosis of pulmonary emphysema. Am J Roentgenol 174:1055–1059CrossRef Chung HW, Huang YH (2000) Fractal analysis of nuclear medicine images for the diagnosis of pulmonary emphysema. Am J Roentgenol 174:1055–1059CrossRef
8.
Zurück zum Zitat Goldberger AL, Amaral LAN, Hausdorff JM, Ivanov P, Peng CK, Stanley HE (2002) Fractal dynamics in physiology: alterations with disease and aging. PNAS 99:2466–2472CrossRefPubMedPubMedCentral Goldberger AL, Amaral LAN, Hausdorff JM, Ivanov P, Peng CK, Stanley HE (2002) Fractal dynamics in physiology: alterations with disease and aging. PNAS 99:2466–2472CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Updike SX, Nowzari H (2008) Fractal analysis of dental radiographs to detect periodontitis-induced trabecular changes. J Periodontal Res 43:658–664CrossRefPubMed Updike SX, Nowzari H (2008) Fractal analysis of dental radiographs to detect periodontitis-induced trabecular changes. J Periodontal Res 43:658–664CrossRefPubMed
11.
Zurück zum Zitat dos Santos LCB, Carvalho AAT, Leao JC, Duarte-Neto PJ, Stosic T, Stosic B (2015) Fractal measure and microscopic modeling of osseointegration. Int J Prosthodont Restor Dent; accepted for publication dos Santos LCB, Carvalho AAT, Leao JC, Duarte-Neto PJ, Stosic T, Stosic B (2015) Fractal measure and microscopic modeling of osseointegration. Int J Prosthodont Restor Dent; accepted for publication
12.
Zurück zum Zitat Perotti V, Aprile G, Degidi M, Piatelli A, Lezzi G (2011) Fractal analysis: a novel method to assess roughness organization of implant surface topography. Int J Prosthodont Restor Dent 31:633–639 Perotti V, Aprile G, Degidi M, Piatelli A, Lezzi G (2011) Fractal analysis: a novel method to assess roughness organization of implant surface topography. Int J Prosthodont Restor Dent 31:633–639
13.
Zurück zum Zitat Lezzi G, Aprile G, Tripodi D, Scarano A, Piatelli A, Perotti V (2012) Implant surface topographies analyzed using fractal dimension. Implant Dent 20:131–138 Lezzi G, Aprile G, Tripodi D, Scarano A, Piatelli A, Perotti V (2012) Implant surface topographies analyzed using fractal dimension. Implant Dent 20:131–138
14.
Zurück zum Zitat Ehrenfest D (2011) Fractal patterns applied to implant surface: definitions and perspectives. J Oral Implantol 37:506–509CrossRef Ehrenfest D (2011) Fractal patterns applied to implant surface: definitions and perspectives. J Oral Implantol 37:506–509CrossRef
15.
Zurück zum Zitat Mandelbrot BB (1982) The fractal geomeytry of nature. Freeman, San Francisco Mandelbrot BB (1982) The fractal geomeytry of nature. Freeman, San Francisco
16.
Zurück zum Zitat Zaia A, Eleonori R, Maponi P, Rossi R, Murri R (2006) MR imaging and osteoporosis: fractal lacunarity analysis of trabecular bone. IEEE Trans Inf Technol Biomed 10:484–489CrossRefPubMed Zaia A, Eleonori R, Maponi P, Rossi R, Murri R (2006) MR imaging and osteoporosis: fractal lacunarity analysis of trabecular bone. IEEE Trans Inf Technol Biomed 10:484–489CrossRefPubMed
17.
Zurück zum Zitat Yasar F, Akqunlu F (2005) Fractal dimension and lacunarity of dental radiographs. Dentomaxillofacial Radiol 34:261–267CrossRef Yasar F, Akqunlu F (2005) Fractal dimension and lacunarity of dental radiographs. Dentomaxillofacial Radiol 34:261–267CrossRef
19.
Zurück zum Zitat Stosic T, Stosic B (2006) Multifractal analysis of human retinal vessels. IEEE Trans Med Imaging 25:1101–1107CrossRefPubMed Stosic T, Stosic B (2006) Multifractal analysis of human retinal vessels. IEEE Trans Med Imaging 25:1101–1107CrossRefPubMed
20.
Zurück zum Zitat Lopes R, Betrouni N (2009) Fractal and multifractal analysis: a review. Med Image Anal 13:634–649CrossRefPubMed Lopes R, Betrouni N (2009) Fractal and multifractal analysis: a review. Med Image Anal 13:634–649CrossRefPubMed
21.
Zurück zum Zitat L. Seuront, Fractals and multifractals in ecology and aquatic science, Taylor & Francis 2009, 400p L. Seuront, Fractals and multifractals in ecology and aquatic science, Taylor & Francis 2009, 400p
22.
Zurück zum Zitat Lovejoy S, Schertzer D (2007) Scale, scaling and multifractals in geophysics: twenty years on. Nonlinear dynamics in Geosciences, Ed. A.A. Tsonis, J. Elsner, Springer, 311-337 Lovejoy S, Schertzer D (2007) Scale, scaling and multifractals in geophysics: twenty years on. Nonlinear dynamics in Geosciences, Ed. A.A. Tsonis, J. Elsner, Springer, 311-337
23.
Zurück zum Zitat Guo CY, Tang ATH, Matinlinna JP (2012) Insights into surface treatment methods of titanium dental implants. J Adhes Sci Technol 26:189–205CrossRef Guo CY, Tang ATH, Matinlinna JP (2012) Insights into surface treatment methods of titanium dental implants. J Adhes Sci Technol 26:189–205CrossRef
24.
Zurück zum Zitat Kokubo T, Takadama H (2006) How useful is SBF in predicting in vivo bone bioactivity? Biomaterials 27:2907–2915CrossRefPubMed Kokubo T, Takadama H (2006) How useful is SBF in predicting in vivo bone bioactivity? Biomaterials 27:2907–2915CrossRefPubMed
25.
Zurück zum Zitat Theiller J (1990) Estimating fractal dimension. J Opt Soc Am 7:1055–1073CrossRef Theiller J (1990) Estimating fractal dimension. J Opt Soc Am 7:1055–1073CrossRef
26.
Zurück zum Zitat Allain C, Cloitre M (1991) Characterizing the lacunarity of random and deterministic fractal sets. Phys Rev A 44:3552–3558CrossRefPubMed Allain C, Cloitre M (1991) Characterizing the lacunarity of random and deterministic fractal sets. Phys Rev A 44:3552–3558CrossRefPubMed
27.
Zurück zum Zitat Plotnick RE, Gardner RH, Hargrove WW, Prestegaard K, Perlmutter M (1996) Lacunarity analysis: a general technique for the analysis of spatial patterns. Phys Rev E 53:5461–5468CrossRef Plotnick RE, Gardner RH, Hargrove WW, Prestegaard K, Perlmutter M (1996) Lacunarity analysis: a general technique for the analysis of spatial patterns. Phys Rev E 53:5461–5468CrossRef
28.
Zurück zum Zitat Myint SW, Lam N (2005) A study of lacunarity-based texture analysis approaches to improve urban image classification. Comput Environ Urban Syst 29:501–523CrossRef Myint SW, Lam N (2005) A study of lacunarity-based texture analysis approaches to improve urban image classification. Comput Environ Urban Syst 29:501–523CrossRef
29.
Zurück zum Zitat Chhabra A, Jensn RV (1989) Direct determination of the f(α) singularity spectrum. Phys Rev Lett 62:1327–1330CrossRefPubMed Chhabra A, Jensn RV (1989) Direct determination of the f(α) singularity spectrum. Phys Rev Lett 62:1327–1330CrossRefPubMed
30.
Zurück zum Zitat Shimizu Y, Thurner S, Ehrenberger K (2002) Multifractal spectra as a measure of complexity in human posture. Fractals 10:103–116CrossRef Shimizu Y, Thurner S, Ehrenberger K (2002) Multifractal spectra as a measure of complexity in human posture. Fractals 10:103–116CrossRef
31.
Zurück zum Zitat de Benicio RB, Stosic T, de Figueiredo PH, Stosic B (2013) Multifractal behavior of wild-land and forest fire time series in Brazil. Phys A 392:6367–6374CrossRef de Benicio RB, Stosic T, de Figueiredo PH, Stosic B (2013) Multifractal behavior of wild-land and forest fire time series in Brazil. Phys A 392:6367–6374CrossRef
Metadaten
Titel
Multifractal spectrum and lacunarity as measures of complexity of osseointegration
verfasst von
Daniel de Souza Santos
Leonardo Cavalcanti Bezerra dos Santos
Alessandra de Albuquerque Tavares Carvalho
Jair Carneiro Leão
Claudio Delrieux
Tatijana Stosic
Borko Stosic
Publikationsdatum
06.10.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Oral Investigations / Ausgabe 6/2016
Print ISSN: 1432-6981
Elektronische ISSN: 1436-3771
DOI
https://doi.org/10.1007/s00784-015-1606-1

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