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Linear measurements of cortical bone and dental enamel by computed tomography: Applications and problems
Abstract
This paper explores the potential of high‐resolution computed tomography (CT) as a morphometric tool in paleoanthropology. The accuracy of linear measurements of enamel thickness and cortical bone thickness taken from CT scans is evaluated by making comparison with measurements taken directly from physical sections. The measurements of cortical bone are taken on extant and fossil specimens with and without attached matrix, and the dental specimens studied include a sample of 12 extant human molars. Local CT numbers (representing X‐ray, attenuation) are used to determine the exact position of the boundaries of a structure. Using this technique most studied dimensions, including four of human molar enamel thickness, could be obtained from CT scans with a maximum error range of ±0.1 mm. The limitations of the method are discussed with special reference to problems associated with highly mineralized fossils. © 1993 Wiley‐Liss, Inc.
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Cited by
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Joordens, J. C. A., d’Errico, F., Wesselingh, F. P., Munro, S., de Vos, J., Wallinga, J., Ankjærgaard, C., Reimann, T., Wijbrans, J. R., Kuiper, K. F., et al. (2015) · Nature · doi:10.1038/nature13962 · Cited by 461
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A new species of Homo from the Late Pleistocene of the Philippines
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Metadata
- Authors
- Spoor, C. F., Zonneveld, F. W., & Macho, G. A.
- Venue
- American Journal of Physical Anthropology
- Publisher
- Wiley
- Published
- 1993-08
- Volume
- 91
- Issue
- 4
- Pages
- 469-484
- ISSN
- 0002-9483 (ISSN-L)
- 1096-8644
- OpenAlex
- W2079190744
- Cited by
- 436
- References
- 0
- FWCI
- 12.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- Spoor, C. F., Zonneveld, F. W., & Macho, G. A. (1993). Linear measurements of cortical bone and dental enamel by computed tomography: Applications and problems. American Journal of Physical Anthropology. https://doi.org/10.1002/ajpa.1330910405
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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.
