Quantification of Bone Remodeling in SRμCT Images of Implants

Authors:
Hamid Sarve;Joakim Lindblad;Carina B. Johansson
Affiliations:
Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden 751 05;Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden 751 05;Department of Clinical Medicine, Örebro University, Örebro, Sweden 701 85
Venue:
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Year:
2009

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Abstract

For quantification of bone remodeling around implants, we combine information obtained by two modalities: 2D histological sections imaged in light microscope and 3D synchrotron radiation-based computed microtomography, SRμCT. In this paper, we present a method for segmenting SRμCT volumes. The impact of shading artifact at the implant interface is reduced by modeling the artifact. The segmentation is followed by quantitative analysis. To facilitate comparison with existing results, the quantification is performed on a registered 2D slice from the volume, which corresponds to a histological section from the same sample. The quantification involves measurements of bone area and bone-implant contact percentages. We compare the results obtained by the proposed method on the SRμCT data with manual measurements on the histological sections and discuss the advantages of including SRμCT data in the analysis.