Kofod Petersen Anika, Villesen Palle, Staun Larsen Line
Department of Forensic Medicine, Aarhus University, Aarhus, Denmark.
Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
Front Radiol. 2025 Jul 18;5:1638294. doi: 10.3389/fradi.2025.1638294. eCollection 2025.
The palatal rugae have been suggested to be just as unique as the human fingerprint. Therefore, endeavors have been made to utilize this uniqueness for the identification of disaster victims. With the rise of digital 3D dental data, computational comparisons of palatal rugae have become possible. But a direct comparison of the full palatal scan by iterative closest point (ICP) has shown to be tedious and demands a knowledge of superimposition software.
Here, we propose (1) an automatic extraction of the palatal rugae ridges from the 3D scans, followed by (2) ICP of the extracted ridges.
Pairwise comparisons of palates take less than a second, and in this study, it was possible to distinguish between palates from the same individual vs. palates from different individuals with a receiver operating characteristic area-under-the-curve of 0.994.
This shows that the extraction of the palatal rugae ridges is a potential efficient addition to the toolbox of a forensic odontologist for disaster victim identification.
有人提出腭皱襞与人类指纹一样独特。因此，人们一直在努力利用这种独特性来识别灾难受害者。随着数字3D牙科数据的兴起，腭皱襞的计算比较成为可能。但是通过迭代最近点（ICP）对整个腭扫描进行直接比较已被证明很繁琐，并且需要叠加软件方面的知识。
在此，我们提出（1）从3D扫描中自动提取腭皱襞嵴，然后（2）对提取的嵴进行ICP分析。
腭的成对比较耗时不到一秒，并且在本研究中，能够以曲线下面积为0.994的受试者工作特征区分同一个体的腭与不同个体的腭。
这表明腭皱襞嵴的提取是法医牙科学者用于灾难受害者识别的工具箱中一种潜在的有效补充。
