Blackwell S A, Taylor R V, Gordon I, Ogleby C L, Tanijiri T, Yoshino M, Donald M R, Clement J G
Oral Anatomy, Medicine and Surgery Unit, School of Dental Science, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, 720 Swanston Street, 3010, Victoria, Australia.
Int J Legal Med. 2007 Jan;121(1):9-17. doi: 10.1007/s00414-005-0058-6. Epub 2006 Jan 4.
This study presents a technique developed for 3-D imaging and quantitative comparison of human dentitions and simulated bite marks. A sample of 42 study models and the corresponding bites, made by the same subjects in acrylic dental wax, were digitised by laser scanning. This technique allows image comparison of a 3-D dentition with a 3-D bite mark, eliminating distortion due to perspective as experienced in conventional photography. Cartesian co-ordinates of a series of landmarks were used to describe the dentitions and bite marks, and a matrix was created to compare all possible combinations of matches and non-matches using cross-validation techniques. An algorithm, which estimated the probability of a dentition matching its corresponding bite mark, was developed. A receiver operating characteristic graph illustrated the relationship between values for specificity and sensitivity. This graph also showed for this sample that 15% of non-matches could not be distinguished from the true match, translating to a 15% probability of falsely convicting an innocent person.
本研究介绍了一种为人类牙列和模拟咬痕的三维成像及定量比较而开发的技术。通过激光扫描对42个研究模型样本以及由相同受试者用丙烯酸牙科蜡制作的相应咬痕进行了数字化处理。该技术允许对三维牙列和三维咬痕进行图像比较,消除了传统摄影中因透视而产生的失真。使用一系列地标点的笛卡尔坐标来描述牙列和咬痕,并创建了一个矩阵,利用交叉验证技术比较所有可能的匹配和不匹配组合。开发了一种算法,用于估计牙列与其相应咬痕匹配的概率。一个接收器操作特性图展示了特异性和敏感性值之间的关系。该图还显示,对于这个样本,15%的不匹配无法与真正的匹配区分开来,这意味着错误定罪无辜者的概率为15%。