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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Korean Academy of Oral and Maxillofacial Radiology
2024
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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 |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678155567333376 |