State Key Laboratory of Material Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Department of Forensic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430074, China.
Sci Rep. 2018 Feb 12;8(1):2869. doi: 10.1038/s41598-018-21289-x.
Auricle defects are important and common occurrences in forensic medicine. The accurate measurement and assessment of auricle defects is key to identifying and evaluating injury, and the currently available methods are known to be labor intensive and inaccurate. In this paper, we introduce an identification and documentation of auricle defects solution, which consists of an optical three-dimensional (3D) method and an effective algorithm to calculate the maximum projection area and identify auricle defects. In this study, three separate examiners measured 40 auricles of 20 adults using 3D optical measurement and two other commonly used methods to investigate the validity and representative reliability of 3D optical measurement for auricle defect identification. Based on the statistical analysis, the 3D measurement method is valid and showed a better reliability than the reference methods. We also present a representative auricle defect identification case using the proposed 3D optical measurement method. The study concludes that the optical 3D measurement method is a reliable and effective tool for auricle defect identification.
耳廓缺损在法医学中是重要且常见的现象。准确测量和评估耳廓缺损对于识别和评估损伤至关重要，而目前可用的方法已知存在劳动强度大且不准确的问题。在本文中，我们介绍了一种耳廓缺损的识别和记录解决方案，该方案由光学三维 (3D) 方法和一种有效的算法组成，用于计算最大投影面积和识别耳廓缺陷。在这项研究中，三名独立的检查者使用 3D 光学测量以及另外两种常用方法对 20 名成年人的 40 只耳朵进行了测量，以研究 3D 光学测量对耳廓缺陷识别的有效性和代表性可靠性。基于统计分析，3D 测量方法是有效的，并且比参考方法具有更好的可靠性。我们还展示了一个使用提出的 3D 光学测量方法的代表性耳廓缺陷识别案例。该研究得出结论，光学 3D 测量方法是一种可靠且有效的耳廓缺陷识别工具。
