TY  - INPR
SN  - 0937-9827
Y1  - 2024/02/13/
TI  - Human identification: an investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population
AV  - public
N2  - 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.
UR  - https://doi.org/10.1007/s00414-024-03179-2
ID  - discovery10193183
N1  - © 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/
A1  - Robles, Madeline
A1  - Rando, carolyn
A1  - Nakhaeizadeh, Sherry
A1  - Morgan, Ruth
PB  - Springer Verlag
JF  - International Journal of Legal Medicine
KW  - Forensic science
KW  -  Forensic anthropology
KW  -  3D modelling
KW  -  Computed tomography
KW  -  Paranasal sinuses
ER  -