An investigation of
environmental factors influencing quantitative accuracy and recognition rate
of craniofacial reconstructions
S. M. Kim1,
W. J. Lee2, J. H. Cho3, C. M. Wilkinson4, C.
U. Choi2 and S. S. Lee1*
Office, National Forensic Service, Wonju-26460, Republic of Korea
Forensic Medicine Investigation, National Forensic Service Seoul Institute,
Seoul-08036, Republic of Korea
Orthodontics, School of Dentistry, Chonnam National University,
Gwangju-61186, Republic of Korea
Liverpool John Moores University, IC1 Liverpool Science Park, Liverpool-L3
5TF, United Kingdom
*Corresponding Author Email : email@example.com
The accuracy of forensic craniofacial reconstruction/approximation can be
influenced by a number of environmental factors. The aim of this study was to
investigate how different average facial soft tissue depth datasets might
influence the accuracy of craniofacial reconstruction employing two accuracy
assessment methods;face-pool comparison and geometric surface comparison.
Methodology: Six craniofacial reconstructions were produced using
three-dimensional modeling software from 3D skull images of live Korean adult
subjects generated by cone-beam computerized tomography. The six craniofacial
reconstructions were divided into two groups: three created using an outdated
Korean averaged facial soft tissue thickness dataset, and three created using
a recent one. The accuracies for six craniofacial reconstructions were
measured using face-pool comparison and geometric surface comparison methods
to estimate the influential level of average facial soft tissue depth
datasets to craniofacial reconstructions.??????
In face-pool comparisons, the recent dataset demonstrated a higher
recognition rate than the outdated one. The results were compared to those of
geometric surface comparisons using the same six craniofacial
reconstructions; a positive correlation was detected.
Interpretation: The results suggest that appropriate
averaged facial soft tissue depth datasets influence the accuracy of
craniofacial reconstructions, and that the geometric surface comparison
method might be interchangeable with face-pool comparison method to evaluate
the accuracy of craniofacial reconstructions.
Key words: Accuracy,
Craniofacial reconstruction, Environmental factors, Geometric surface,
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