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Evaluation of a microcomputed tomography system to study trabecular bone structure
Abstract
A new microcomputed tomography (micro‐CT) system and thresholding procedure was evaluated as a tool for nondestructive analysis of trabecular bone. Images of 6‐mm trabecular bone cubes acquired from the micro‐CT system were compared with optical images of corresponding histologic sections to determine the accuracy of representation. The stereologic measures of bone volume fraction (P p) and trabecular plate densty (P L) were used to quantify the comparisons. The results showed that the micro‐CT measures of P p were not significantly different from those measured from histologic sections and therefore were very accurate. Measures of P L were different by approximately 14%, which translated into discrepancies in trabecular plate thicknesses of about 19 μm. This difference was significantly correlated to the microstructural characteristics of the specific specimen scanned. The precision of both measurements was excellent.
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Cited by
High resolution X-ray computed tomography: an emerging tool for small animal cancer research
Paulus, M. J., Gleason, S. S., Kennel, S. J., Hunsicker, P. R., & Johnson, D. K. (2000) · Neoplasia · doi:10.1038/sj.neo.7900069 · Cited by 490
A Global Relationship Between Trabecular Bone Morphology and Homogenized Elastic Properties
Zysset, P. K., Goulet, R. W., & Hollister, S. J. (1998) · Journal of Biomechanical Engineering · doi:10.1115/1.2834756 · Cited by 105
Self-citation
Metadata
- Authors
- Kuhn, J. L., Goldstein, S. A., Feldkamp, L. A., Goulet, R. W., & Jesion, G.
- Venue
- Journal of Orthopaedic Research
- Publisher
- Wiley
- Published
- 1990-11
- Volume
- 8
- Issue
- 6
- Pages
- 833-842
- ISSN
- 0736-0266 (ISSN-L)
- 1554-527X
- OpenAlex
- W2099378747
- Cited by
- 336
- References
- 0
- FWCI
- 6.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
