eprintid: 10193183
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/19/31/83
datestamp: 2024-06-10 10:38:17
lastmod: 2024-06-10 10:38:17
status_changed: 2024-06-10 10:38:17
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Robles, Madeline
creators_name: Rando, carolyn
creators_name: Nakhaeizadeh, Sherry
creators_name: Morgan, Ruth
title: Human identification: an investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population
ispublished: inpress
divisions: UCL
divisions: B04
divisions: C05
divisions: F52
keywords: Forensic science, Forensic anthropology, 3D modelling, Computed tomography, Paranasal sinuses
note: © 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/
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.
date: 2024-02-13
date_type: published
publisher: Springer Verlag
official_url: https://doi.org/10.1007/s00414-024-03179-2
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2283594
doi: 10.1007/s00414-024-03179-2
lyricists_name: Morgan, Ruth
lyricists_id: RMORG06
actors_name: Morgan, Ruth
actors_id: RMORG06
actors_role: owner
full_text_status: public
publication: International Journal of Legal Medicine
issn: 0937-9827
citation:        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 <https://doi.org/10.1007/s00414-024-03179-2>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10193183/1/s00414-024-03179-2.pdf