Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software

Purpose: The objective of this study was to determine the minimum number of teeth in the anterior dental arch that would yield accurate results for individual identification in forensic contexts. Materials and Methods: The study involved the analysis of 28 sets of 3-dimensional (3D) point cloud data...

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Published in:Imaging Science in Dentistry
Main Author: Kurniawa A.; Alia A.; Yusof M.Y.P.M.; Marya A.
Format: Article
Language:English
Published: Korean Academy of Oral and Maxillofacial Radiology 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190516616&doi=10.5624%2fisd.20230218&partnerID=40&md5=7787dfa177c4235c9ef4064968a54b19
id 2-s2.0-85190516616
spelling 2-s2.0-85190516616
Kurniawa A.; Alia A.; Yusof M.Y.P.M.; Marya A.
Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
2024
Imaging Science in Dentistry
54
1
10.5624/isd.20230218
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190516616&doi=10.5624%2fisd.20230218&partnerID=40&md5=7787dfa177c4235c9ef4064968a54b19
Purpose: The objective of this study was to determine the minimum number of teeth in the anterior dental arch that would yield accurate results for individual identification in forensic contexts. Materials and Methods: The study involved the analysis of 28 sets of 3-dimensional (3D) point cloud data, focused on the labial surface of the anterior teeth. These datasets were superimposed within each group in both genuine and imposter pairs. Group A incorporated data from the right to the left central incisor, group B from the right to the left lateral incisor, and group C from the right to the left canine. A comprehensive analysis was conducted, including the evaluation of root mean square error (RMSE) values and the distances resulting from the superimposition of dental arch segments. All analyses were conducted using CloudCompare version 2.12.4 (Telecom ParisTech and R&D, Kyiv, Ukraine). Results: The distances between genuine pairs in groups A, B, and C displayed an average range of 0.153 to 0.184mm. In contrast, distances for imposter pairs ranged from 0.338 to 0.522 mm. RMSE values for genuine pairs showed an average range of 0.166 to 0.177, whereas those for imposter pairs ranged from 0.424 to 0.638. A statistically significant difference was observed between the distances of genuine and imposter pairs (P<0.05). Conclusion: The exceptional performance observed for the labial surfaces of anterior teeth underscores their potential as a dependable criterion for accurate 3D dental identification. This was achieved by assessing a minimum of 4 teeth. (Imaging Sci Dent 2024; 54: 63-9) © 2024 by Korean Academy of Oral and Maxillofacial Radiology. All Rights Reserved.
Korean Academy of Oral and Maxillofacial Radiology
22337822
English
Article
All Open Access; Gold Open Access
author Kurniawa A.; Alia A.; Yusof M.Y.P.M.; Marya A.
spellingShingle Kurniawa A.; Alia A.; Yusof M.Y.P.M.; Marya A.
Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
author_facet Kurniawa A.; Alia A.; Yusof M.Y.P.M.; Marya A.
author_sort Kurniawa A.; Alia A.; Yusof M.Y.P.M.; Marya A.
title Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
title_short Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
title_full Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
title_fullStr Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
title_full_unstemmed Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
title_sort Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software
publishDate 2024
container_title Imaging Science in Dentistry
container_volume 54
container_issue 1
doi_str_mv 10.5624/isd.20230218
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190516616&doi=10.5624%2fisd.20230218&partnerID=40&md5=7787dfa177c4235c9ef4064968a54b19
description Purpose: The objective of this study was to determine the minimum number of teeth in the anterior dental arch that would yield accurate results for individual identification in forensic contexts. Materials and Methods: The study involved the analysis of 28 sets of 3-dimensional (3D) point cloud data, focused on the labial surface of the anterior teeth. These datasets were superimposed within each group in both genuine and imposter pairs. Group A incorporated data from the right to the left central incisor, group B from the right to the left lateral incisor, and group C from the right to the left canine. A comprehensive analysis was conducted, including the evaluation of root mean square error (RMSE) values and the distances resulting from the superimposition of dental arch segments. All analyses were conducted using CloudCompare version 2.12.4 (Telecom ParisTech and R&D, Kyiv, Ukraine). Results: The distances between genuine pairs in groups A, B, and C displayed an average range of 0.153 to 0.184mm. In contrast, distances for imposter pairs ranged from 0.338 to 0.522 mm. RMSE values for genuine pairs showed an average range of 0.166 to 0.177, whereas those for imposter pairs ranged from 0.424 to 0.638. A statistically significant difference was observed between the distances of genuine and imposter pairs (P<0.05). Conclusion: The exceptional performance observed for the labial surfaces of anterior teeth underscores their potential as a dependable criterion for accurate 3D dental identification. This was achieved by assessing a minimum of 4 teeth. (Imaging Sci Dent 2024; 54: 63-9) © 2024 by Korean Academy of Oral and Maxillofacial Radiology. All Rights Reserved.
publisher Korean Academy of Oral and Maxillofacial Radiology
issn 22337822
language English
format Article
accesstype All Open Access; Gold Open Access
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