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Methods for Visualization of Bone Tissue in the Proximity of 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, Department of Information Technology, Computerized Image Analysis.
Örebro University.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2010 (English)In: International Conference on Computer Vision and Graphics / [ed] L. Bolc, R. Tadeusiewicz, L.J. Chmielewski, Heidelberg: Springer , 2010, 243-250 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this work we present two methods for visualization ofSRμCT-scanned 3D volumes of screw-shaped bone implant samples:thread fly-through and 2D unfolding. The thread fly-through generatesan animation by following the thread helix and extracting slices alongit. Relevant features, such as bone ratio and bone implant contact, arecomputed for each slice of the animation and displayed as graphs besidethe animation. The 2D unfolding, on the other hand, maps the implantsurface onto which feature information is projected to a 2D image, providingan instant overview of the whole implant. The unfolding is madearea-preserving when appropriate. These visualization methods facilitatebetter understanding of the bone-implant integration and providesa good platform for communication between involved experts.

Place, publisher, year, edition, pages
Heidelberg: Springer , 2010. 243-250 p.
Series
Lecture notes on computer science, ISSN 0302-9743 ; 6375
Keyword [en]
SRuCT bone implants
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis; Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-134840DOI: 10.1007/978-3-642-15907-7_30ISBN: 978-3-642-15906-0 (print)OAI: oai:DiVA.org:uu-134840DiVA: diva2:373910
Conference
International Conference on Computer Vision and Graphics
Available from: 2010-12-02 Created: 2010-12-02 Last updated: 2013-03-20Bibliographically approved

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Computer Vision and Robotics (Autonomous Systems)

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CiteExportLink to record
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Citation style
  • apa
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