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.

验尸计算机断层扫描（PMCT）可以帮助定位异物，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，我们提出了一种自动可视化胸部和腹部PMCT图像数据上的气体分布的算法。该算法结合了区域增长分割和不同可视化方法的分层功能，可自动生成概览图像，以在一张图像中显示不透射线的异物，骨骼和气体分布。该方法在955次PMCT胸部和腹部扫描中得到了测试。该算法设法针对所有情况生成有用的图像，可视化异物以及气体分布。本文介绍了最有趣的情况。