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Quantification of Bone Remodeling in SRuCTImages of Implants
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, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Örebro University.
2009 (English)In: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009 / [ed] A.-B. Salberg, J.Y. Hardeberg, and R. Jenssen, Heidelberg: Springer Verlag , 2009, 770-779 p.Conference paper, Published paper (Refereed)
Abstract [en]

For quantification of bone remodeling around implants, wecombine information obtained by two modalities: 2D histological sectionsimaged in light microscope and 3D synchrotron radiation-based computedmicrotomography, SRμCT. In this paper, we present a methodfor segmenting SRμCT volumes. The impact of shading artifact at theimplant interface is reduced by modeling the artifact. The segmentationis followed by quantitative analysis. To facilitate comparison with existingresults, the quantification is performed on a registered 2D slicefrom the volume, which corresponds to a histological section from thesame sample. The quantification involves measurements of bone areaand bone-implant contact percentages.We compare the results obtained by the proposed method on the SRμCTdata with manual measurements on the histological sections and discussthe advantages of including SRμCT data in the analysis.

Place, publisher, year, edition, pages
Heidelberg: Springer Verlag , 2009. 770-779 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 5575
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-111229DOI: 10.1007/978-3-642-02230-2_79ISBN: 978-3-642-02229-6 (print)OAI: oai:DiVA.org:uu-111229DiVA: diva2:280029
Conference
SCIA 2009
Available from: 2009-12-08 Created: 2009-12-07 Last updated: 2009-12-08Bibliographically approved

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Sarve, Hamid

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