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Updated: Feb 25, 2026

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
Published on: September 27, 2024
A Bone Sample Containing a Bone Graft Substitute Analyzed by Correlating Density Information Obtained by X-ray Micro
Johann Charwat-Pessler1, Maurizio Musso2, Alexander Petutschnigg3
1Department of Forest Products Technology and Management, University of Applied Sciences Salzburg, Markt 136a, Kuchl A-5431, Austria. johann.charwat-pessler@fh-salzburg.ac.at.
Abstract:
The ability of bone graft substitutes to promote new bone formation has been increasingly used in the medical field to repair skeletal defects or to replace missing bone in a broad range of applications in dentistry and orthopedics. A common way to assess such materials is via micro computed tomography (µ-CT), through the density information content provided by the absorption of X-rays. Information on the chemical composition of a material can be obtained via Raman spectroscopy. By investigating a bone sample from miniature pigs containing the bone graft substitute Bio Oss®, we pursued the target of assessing to what extent the density information gained by µ-CT imaging matches the chemical information content provided by Raman spectroscopic imaging. Raman images and Raman correlation maps of the investigated sample were used in order to generate a Raman based segmented image by means of an agglomerative, hierarchical cluster analysis. The resulting segments, showing chemically related areas, were subsequently compared with the µ-CT image by means of a one-way ANOVA. We found out that to a certain extent typical gray-level values (and the related histograms) in the µ-CT image can be reliably related to specific segments within the image resulting from the cluster analysis.
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