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Comparing and visualizing titanium implant integration in rat bone using 2D and 3D techniques
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2015 (English)In: Journal of Biomedical Materials Research. Part B - Applied biomaterials, ISSN 1552-4973, E-ISSN 1552-4981, Vol. 103, no 1, 12-20 p.Article in journal (Refereed) Published
Abstract [en]

The aim was to compare the osseointegration of grit-blasted implants with and without a hydrogen fluoride treatment in rat tibia and femur, and to visualize bone formation using state-of-the-art 3D visualization techniques. Grit-blasted implants were inserted in femur and tibia of 10 Sprague-Dawley rats (4 implants/rat). Four weeks after insertion, bone implant samples were retrieved. Selected samples were imaged in 3D using Synchrotron Radiation-based CT (SRCT). The 3D data was quantified and visualized using two novel visualization techniques, thread fly-through and 2D unfolding. All samples were processed to cut and ground sections and 2D histomorphometrical comparisons of bone implant contact (BIC), bone area (BA), and mirror image area (MI) were performed. BA values were statistically significantly higher for test implants than controls (p<0.05), but BIC and MI data did not differ significantly. Thus, the results partly indicate improved bone formation at blasted and hydrogen fluoride treated implants, compared to blasted implants. The 3D analysis was a valuable complement to 2D analysis, facilitating improved visualization. However, further studies are required to evaluate aspects of 3D quantitative techniques, with relation to light microscopy that traditionally is used for osseointegration studies. (c) 2014 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 103B: 12-20, 2015.

Place, publisher, year, edition, pages
2015. Vol. 103, no 1, 12-20 p.
Keyword [en]
osseointegration, SR mu CT, rat model, histomorphometry, titanium
National Category
Medical Image Processing
Research subject
Computerized Image Processing
URN: urn:nbn:se:uu:diva-241944DOI: 10.1002/jbm.b.33168ISI: 000346191600002OAI: oai:DiVA.org:uu-241944DiVA: diva2:782220
Available from: 2014-04-08 Created: 2015-01-19 Last updated: 2016-01-20Bibliographically approved

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Computerized Image Analysis and Human-Computer Interaction
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Journal of Biomedical Materials Research. Part B - Applied biomaterials
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