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Human identification: an investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population

Robles, Madeline; Rando, carolyn; Nakhaeizadeh, Sherry; Morgan, Ruth; (2024) Human identification: an investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population. International Journal of Legal Medicine 10.1007/s00414-024-03179-2. (In press). Green open access

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Abstract

Medical imaging is a valuable source for facilitating empirical research and provides an accessible gateway for developing novel forensic anthropological methods for analysis including 3D modelling. This is especially critical for the United Kingdom (UK), where methods developed from modern UK populations do not currently exist. This study introduces a new approach to assist in human identification using 3D models of the paranasal sinuses. The models were produced from a database of 500 modern CT scans provided by University College London Hospital. Linear measurements and elliptic Fourier coefficients taken from 1500 three-dimensional models across six ethnic groups assessed by one-way ANOVA and discriminant function analysis showed a range of classification rates with certain rates reaching 75–85.7% (p < 0.05) in correctly classifying age and sex according to size and shape. The findings offer insights into the potential for employing paranasal sinuses as an attribute for establishing the identification of unknown human remains in future crime reconstructions.

Type: Article
Title: Human identification: an investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00414-024-03179-2
Publisher version: https://doi.org/10.1007/s00414-024-03179-2
Language: English
Additional information: © The Author(s), 2024. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
Keywords: Forensic science, Forensic anthropology, 3D modelling, Computed tomography, Paranasal sinuses
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10193183
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