Quantification of bone remodeling in SRμCT images of implants

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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. © 2009 Springer Berlin Heidelberg.

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Sarve, H., Lindblad, J., & Johansson, C. B. (2009). Quantification of bone remodeling in SRμCT images of implants. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5575 LNCS, pp. 770–779). https://doi.org/10.1007/978-3-642-02230-2_79

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