Suppr超能文献

基于展开式CT图像的牙齿识别系统。

Dental identification system based on unwrapped CT images.

作者信息

Tohnak Sirilawan, Mehnert Andrew, Mahoney Michael, Crozier Stuart

机构信息

School of Information Technology and Electrical Engineering, The University of Queensland, QLD 4072, Australia.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3549-52. doi: 10.1109/IEMBS.2009.5332483.

Abstract

Dental comparison of postmortem (PM) and ante-mortem (AM) radiographs provides one of the best avenues for the forensic identification of human remains. Nevertheless conventional dental comparison is labor-intensive, subjective, and has several inherent drawbacks. This paper presents a semi-automated image analysis system designed to assist the forensic dentist with the task of identifying human remains. This system overcomes the drawbacks of conventional dental comparison because it is based on the comparison of radiograph-like images reconstructed from PM computed tomography (CT) data with AM digitized conventional radiographs. The efficacy of the system is demonstrated using 4 dental CT data sets and 32 digitized bitewing radiographs obtained from routine clinical practice.

摘要

死后(PM)和生前(AM)X光片的牙齿对比为法医学上人类遗骸的鉴定提供了最佳途径之一。然而,传统的牙齿对比工作强度大、主观性强,且存在一些固有缺陷。本文介绍了一种半自动图像分析系统,旨在协助法医牙医进行人类遗骸的鉴定工作。该系统克服了传统牙齿对比的缺陷,因为它是基于从PM计算机断层扫描(CT)数据重建的类似X光片的图像与AM数字化传统X光片进行对比。使用从常规临床实践中获得的4组牙齿CT数据集和32张数字化咬合翼片展示了该系统的有效性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验