Performance evaluation of a Cadre Forensics TopMatch-GS 3D system for cartridge case comparisons.

Joseph W Alsdurf, Eric F Law, Stephanie C Luehr
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Abstract

Three-dimensional (3D) measurement systems for firearm forensics are becoming more prevalent in forensic laboratories, and these instruments are typically coupled with algorithms to assist firearm examiners with comparisons. Due to differences in firearm feature reproducibility on different types of ammunition, comparison algorithms need to be tested utilizing a variety of ammunition brands. For this study, 30 shots were fired, utilizing six common ammunition brands, from each of the 10 casework firearms for a total of 300 cartridge cases. All cartridge cases were scanned on a Cadre Forensics TopMatch-GS 3D desktop system and compared using Cadre's breech face and firing pin aperture shear algorithms for a total of 44,850 comparisons. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to quantify the performance of the algorithms when comparing within and between ammunition brands. Same ammunition brand comparisons (AUC = 0.964) performed statistically significantly better (p = 0.0075) than different ammunition brand comparisons (AUC = 0.944). Overall, the results generally indicated greater reproducibility of characteristics from a firearm when the ammunition in a comparison is the same, however, Cadre's algorithms demonstrated excellent overall discrimination between same and different-source comparisons regardless of ammunition brand (AUC = 0.946). Additionally, score thresholds were evaluated for easier interpretation of what algorithm results mean for practitioners, where 68.6% of same-source comparisons resulted in a similarity score greater than 0.5. These results should assist the field in moving toward the use of algorithms to assist examiners in casework comparisons.

用于弹壳比较的Cadre Forensics TopMatch-GS 3D系统的性能评估。
用于枪支取证的三维(3D)测量系统在法医实验室越来越普遍,这些仪器通常与算法相结合,以协助枪支检验人员进行比较。由于不同类型弹药的枪支特征再现性存在差异,因此需要使用各种品牌的弹药对比较算法进行测试。在这项研究中,使用六种常见的弹药品牌,分别从 10 支个案枪支中发射了 30 发子弹,共计 300 个弹壳。所有弹壳均在 Cadre Forensics TopMatch-GS 3D 桌面系统上扫描,并使用 Cadre 的后端面和撞针孔剪切算法进行比较,共进行了 44,850 次比较。接收器操作特征曲线(ROC)和曲线下面积(AUC)用于量化弹药品牌内和品牌间比较算法的性能。相同弹药品牌比较(AUC = 0.964)在统计学上明显优于不同弹药品牌比较(AUC = 0.944)(p = 0.0075)。总体而言,结果普遍表明,当比较中的弹药相同时,枪支特征的再现性更高,但是,无论弹药品牌如何,Cadre 算法在相同来源和不同来源比较之间都表现出极佳的总体区分度(AUC = 0.946)。此外,还对得分阈值进行了评估,以便于从业人员解释算法结果的含义,68.6% 的同源比较结果的相似性得分大于 0.5。这些结果应有助于该领域逐步使用算法来协助检验人员进行案件工作比较。
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