近年来,在三维(3D)牙齿图像的使用中已经有了显著的扩展。在法医牙齿学领域,自动3D牙科识别系统可以增强识别过程。本研究提出了一种通过利用牙齿识别场景使用3D数字牙齿数据进行自动人类牙齿识别的新方法。总研究样本分为两组:A组(120个牙科模型)和B组(120个口腔内扫描-IOS)。A组数据由正畸治疗后患者的3D扫描牙齿模型(30个上颌和30个下颌)组成。该数据被认为是AM数字数据。要生成相同的样本,检索相同患者的牙模(60)并进行激光扫描。这些模型被认为是PM数字数据。B组数据(IOS)来自30名研究参与者。为了重建牙齿识别方案,从30名参与者中获得了30个上颌和30个下颌IOS,并将其视为IOS-AM。一年后,另一组IOS(60)来自相同参与者,被认为是IOS-PM.结果表明,AutoIDD(牙科数据自动识别)软件的准确性是一致的;能够通过3D图像叠加区分“正确匹配”(高匹配百分比)和“非匹配”(非常低的百分比)。上颌和下颌IOS的匹配百分比范围为64至100%和81-100%,平均距离(mm)分别为0.094和0.093。这项研究证明了通过新的自动化软件-数字取证中的AutoIDD使用3D扫描的可行性,以协助法医专家从可用的AM牙科记录中确认死者的身份。
There has been a significant expansion in the use of 3-dimensional (3D) dental images in recent years. In the field of forensic odontology, an automated 3D dental identification system could enhance the identification process. This study presents a novel method for automated human dental identification using 3D digital dental data by utilising a dental identification scenario. The total study sample was divided into two groups: Group A (120 dental models) and Group B (120 Intra-oral scans-IOS). Group A data was composed of 3D scanned dental models of post-orthodontic treated patients (30 maxillary and 30 mandibular). This data was considered as AM digital data. To generate an identical sample, the dental casts (60) of the same patients were retrieved and laser scanned. These models were considered as PM digital data. Group B data (IOS) was obtained from 30 study participants. To reconstruct a dental identification scenario 30 maxillary and 30 mandibular IOS were obtained from 30 participants and were considered as IOS-AM. After one year, another set of IOS (60) were acquired from the same participants and were considered as IOS-PM. The results showed that the AutoIDD (Automated Identification from Dental Data) software was consistent in accuracy; capable of differentiating \"correct matches\" (high match percentage) from \"non-matches\" (very low percentage) by 3D image superimposition. The match percentage of the maxillary and mandibular IOS ranged from 64 to 100% and 81-100 %, with a mean distance (mm) of 0.094 and 0.093 respectively. This study demonstrated the feasibility of using 3D scans through a new automated software - AutoIDD in digital forensics to assist the forensic expert in confirming the identity of a deceased individual from the available AM dental records.