3D Center Zurich, Institute of Forensic Medicine Zurich, University of Zurich, Winterthurerstrasse 190/52 CH-8052, Zurich, Switzerland.
Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Forensic Sci Med Pathol. 2021 Jun;17(2):254-261. doi: 10.1007/s12024-021-00363-3. Epub 2021 Apr 27.
Post mortem computed tomography (PMCT) can aid in localizing foreign bodies, bone fractures, and gas accumulations. The visualization of these findings play an important role in the communication of radiological findings. In this article, we present an algorithm for automated visualization of gas distributions on PMCT image data of the thorax and abdomen. The algorithm uses a combination of region growing segmentation and layering of different visualization methods to automatically generate overview images that depict radiopaque foreign bodies, bones and gas distributions in one image. The presented method was tested on 955 PMCT scans of the thorax and abdomen. The algorithm managed to generate useful images for all cases, visualizing foreign bodies as well as gas distribution. The most interesting cases are presented in this article. While this type of visualization cannot replace a real radiological analysis of the image data, it can provide a quick overview for briefings and image reports.
死后计算机断层扫描 (PMCT) 可帮助定位异物、骨折和气体积聚。这些发现的可视化在放射学发现的交流中起着重要作用。在本文中，我们提出了一种用于自动可视化胸部和腹部 PMCT 图像数据中气体分布的算法。该算法使用区域生长分割和分层不同可视化方法的组合，自动生成一张概述图像，该图像在一张图像中描绘了不透射线的异物、骨骼和气体分布。该方法在 955 例胸部和腹部 PMCT 扫描中进行了测试。该算法成功地为所有病例生成了有用的图像，可视化了异物和气体分布。本文介绍了最有趣的病例。虽然这种类型的可视化不能替代对图像数据的实际放射学分析，但它可以为简报和图像报告提供快速概述。
