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自动化图像识别与鉴定的新方案:对放射技术和法医病理学的挑战。

New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology.

机构信息

Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan.

Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Graduate School of Medicine, Osaka University, 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan.

出版信息

Radiol Phys Technol. 2021 Jun;14(2):123-133. doi: 10.1007/s12194-021-00611-9. Epub 2021 Mar 12.

Abstract

This paper outlines the history of biometrics for personal identification, the current status of the initial biological fingerprint techniques for digital chest radiography, and patient verification during medical imaging, such as computed tomography and magnetic resonance imaging. Automated image recognition and identification developed for clinical images without metadata could also be applied to the identification of victims in mass disasters or other unidentified individuals. The development of methods that are adaptive to a wide range of recent imaging modalities in the fields of radiologic technology, patient safety, forensic pathology, and forensic odontology is still in its early stages. However, its importance in practice will continue to increase in the future.

摘要

本文概述了生物识别技术用于个人身份识别的历史,当前数字胸部射线照相术初始生物指纹技术的现状,以及在医学成像(如计算机断层扫描和磁共振成像)期间对患者进行验证的情况。为没有元数据的临床图像开发的自动图像识别和身份识别技术也可用于在大规模灾难或其他身份不明的个人中识别受害者。在放射技术、患者安全、法医病理学和法医牙科学等领域,适应广泛的最新成像方式的方法的开发仍处于早期阶段。然而,它在实践中的重要性将在未来继续增加。

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