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Surface curvature of pelvic joints from three laser scanners: separating anatomy from measurement error.
Villa, C. ; Gaudio, D. ; Cattaneo, C. ; Buckberry, Jo ; Wilson, Andrew S. ; Lynnerup, N.
Villa, C.
Gaudio, D.
Cattaneo, C.
Buckberry, Jo
Wilson, Andrew S.
Lynnerup, N.
Publication Date
2015-03
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© 2015 Wiley. Reproduced in accordance with the publisher's self-archiving policy.This is the peer reviewed version of the following article above, which has been published in final form at http://dx.doi.org/10.1111/1556-4029.12696. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
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openAccess
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2014-04-16
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Abstract
Recent studies have reported that quantifying symphyseal and auricular surfaces curvature changes on 3D models acquired by laser scanners have a potential for age estimation. However, no tests have been carried out to evaluate the repeatability of the results between different laser scanners. 3D models of the two pelvic joints were generated using three laser scanners (Custom, Faro, Minolta). The surface curvature, the surface area and the distance between co-registered meshes were investigated. Close results were found for surface areas (differences between 0.3% and 2.4%) and for distance deviations (average < 20 μm, SD < 200 μm). The curvature values were found to be systematically biased between different laser scanners, but still showing similar trends with increasing phases / scores. Applying a smoothing factor to the 3D models, it was possible to separate anatomy from the measurement error of each instrument, so that similar curvature values could be obtained (p < 0.05) independent of the specific laser scanner.
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Accepted manuscript
Citation
Villa C, Gaudio D, Cattaneo C, Buckberry J,Wilson AS and Lynnerup N (2015) Surface curvature of pelvic joints from
three laser scanners: separating anatomy from measurement error. Journal of Forensic Sciences, 60 (2): 374–381.
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The full text was made available at the end of the publisher's embargo: 31st March 2016