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Analysis of Histological Image and SRuCT Image Volumes of Bone Remodeling Around Implants
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2007 (English)In: Proceedings SSBA 2007: Symposium on Image Analysis, Linköping, March 14-15 / [ed] Magnus Borga, Anders Brun, Michael Felsberg, Linköping: Linköpings universitet , 2007, 4- p.Conference paper, Published paper (Other academic)
Abstract [en]

In this paper we present an automatic method for measurements of bone area and bone-implant contact length around the implant in histological images. The method is then compared to the time consuming and subjective manual method performed in the light-microscope. Significant difference in the length values of the estimation of the bone-implant contact were observed, revealing greater numbers for the automatic method compared to the manual. These differences are most likely due to staining artifacts. However, the area measurements of the automatic method correspond well with the manual method. Furthermore, this paper also gives a brief description of the initial investigation of the use of tomography imaging methods to quantify bone remodeling around implants. The synchrotron radiation based microtomography technique (SRµCT) seems to be suitable for an subsequent analysis of bone tissue integration.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet , 2007. 4- p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-11906OAI: oai:DiVA.org:uu-11906DiVA: diva2:39675
Available from: 2007-11-06 Created: 2007-11-06 Last updated: 2009-12-08Bibliographically approved

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