Paper
6 February 2007 Synchrotron microtomography and 3D image analysis for studying the degradability of biocompatible ceramics within biopsies sampled after sinus floor augmentation
Alexander Rack, M. Stiller, C. Knabe, O. Dalügge, Ch. Koch, G. Weidemann, H. Riesemeier, J. Goebbels
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Abstract
This article presents a novel approach to evaluate two-dimensional histomorphometric studies of biodegradable ceramic particles by means of element-sensitive, three-dimensional and non-destructive synchrotron-microtomography (SCT). An in vivo study was performed in which bone substitute materials (Cerasorb) were implanted in the mandible to support the bone regeneration. After 6 months of implantation samples were prepared and investigated using SCT and subsequent 3D image analysis as well as histological evaluation. A comparison of corresponding tomographical and histological slices delivers information about the newly formed bone and its stage of development. Additionally SCT gives insights into the structural changes of the bony tissue in a given defect and the local biodegradation of the bone substitute material in a three-dimensional manner. This emphasizes the fact that the completion of investigations by 2D histological images with 3D tomographical images is required in order to be able to draw conclusions concerning the influence of different bioceramics on the bone regeneration.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander Rack, M. Stiller, C. Knabe, O. Dalügge, Ch. Koch, G. Weidemann, H. Riesemeier, and J. Goebbels "Synchrotron microtomography and 3D image analysis for studying the degradability of biocompatible ceramics within biopsies sampled after sinus floor augmentation", Proc. SPIE 6430, Advanced Biomedical and Clinical Diagnostic Systems V, 64301H (6 February 2007); https://doi.org/10.1117/12.698998
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Cited by 3 scholarly publications.
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KEYWORDS
Bone

Ceramics

3D image processing

Particles

Image analysis

Tomography

Visualization

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