A simple method for the automatic classification of body parts and detection of implanted metal using postmortem computed tomography scout view
A simple method for the automatic classification of body parts and detection of implanted metal using postmortem computed tomography scout view
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DOI：
10.1007/s12194-020-00581-4
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发表时间：
2020-08-19
影响因子：
1.6
通讯作者：
Ikeda, Noriaki
中科院分区：
文献类型：
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作者：
Wada, Yuya;Morishita, Junji;Ikeda, Noriaki
植入人体的医疗器械信息对于识别身份不明的尸体非常重要。计算机断层扫描（CT）是一种功能强大的成像方式;然而，由于重建方法的原因，金属伪影会降低图像质量。相反，与CT相比，CT侦察视图受金属伪影的影响较小。将人体分为三个大致部分是一种简单的方法，用于死后CT（PMCT）侦察视图，并已开发了一种用于检测植入金属位置的算法，用于法医病理学中的个人识别。在测试图像中，97%的图像被正确地分为三个身体部位。在定位视图中，植入金属的检测的真阳性率为96.5%。因此，我们的简单方法适用于PMCT侦察视图，并将特别有用的法医病理学。
Information on medical devices embedded in the body is important in the identification of an unidentified body. Computed tomography (CT) is a powerful imaging modality; however, metallic artifacts deteriorate the image quality because of the reconstruction method. On the contrary, CT scout view is less affected by metallic artifacts compared to CT. It is a simple method to classify the body into three rough parts for postmortem CT (PMCT) scout view, and an algorithm used to detect the location of the implanted metal has been developed for personal identification in forensic pathology. Of the test images, 97% were correctly classified into the three body parts. The true-positive rate for detection of the implanted metal in the scout view was 96.5%. Therefore, our simple methods are applicable in PMCT scout views and would be particularly useful for forensic pathology.