放射性指纹:在大规模灾难中使用CT上胸脊体的形状特征进行自动化个人识别
Shota Ichikawa1,2, Yohan Kondo3, Masashi Okamoto3
1Department of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8518, Japan. ichikawa@clg.niigata-u.ac.jp.
Journal of imaging informatics in medicine
|June 24, 2025
概括
使用CT扫描胸椎放射性特征的自动化个人识别在大规模灾难受害者识别中实现了98.4%的准确性. 这种方法为法医识别提供了一种可靠的方法.
科学领域:
- 放射学 放射学是一门学科.
- 法医科学 法医科学 法医科学
- 医疗成像医学成像
背景情况:
- 准确的个人身份识别对于大规模灾害响应至关重要.
- 当前的方法可能是耗时和资源密集的.
- 需要新的自动化方法来有效识别受害者.
研究的目的:
- 通过CT扫描对胸椎体的基于形状的放射性特征进行个人识别的自动化方法的评估.
- 在大规模灾害背景下评估该方法的准确性和可靠性.
主要方法:
- 追溯分析66个人的死前和死后CT扫描.
- 胸脊体的细分 (T1-T12) 和14个基于形状的放射性特征的提取.
- 应用Mahalanobis距离用于异常值检测和欧几里德距离用于相似度评分.
主要成果:
- 在异常因素被排除后,61例死后病例的最高1匹配率为98.4%.
- 与前2名比赛相比,前1名比赛的相似度得分明显更高 (P < 0.001).
- 0.832的最佳相似度得分值提供了匹配和不匹配之间的明显区别 (AUC = 0.99938).
结论:
- 使用胸椎椎体放射学进行自动识别,在大规模灾害中对受害者识别具有很高的准确性.
- 这种技术显示出作为法医识别的可靠和有效工具的巨大潜力.
- 在不同的人口和灾难场景中需要进一步验证.
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