Ebert Lars C, Ampanozi Garyfalia, Ruder Thomas D, Hatch Gary, Thali Michael J, Germerott Tanja
Virtopsy, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, Zurich, Switzerland.
J Forensic Leg Med. 2012 Apr;19(3):126-31. doi: 10.1016/j.jflm.2011.12.007. Epub 2012 Jan 15.
The measurement of fluid volumes in cases of pericardial effusion is a necessary procedure during autopsy. With the increased use of virtual autopsy methods in forensics, the need for a quick volume measurement method on computed tomography (CT) data arises, especially since methods such as CT angiography can potentially alter the fluid content in the pericardium. We retrospectively selected 15 cases with hemopericardium, which underwent post-mortem imaging and autopsy. Based on CT data, the pericardial blood volume was estimated using segmentation techniques and downsampling of CT datasets. Additionally, a variety of measures (distances, areas and 3D approximations of the effusion) were examined to find a quick and easy way of estimating the effusion volume. Segmentation of CT images as shown in the present study is a feasible method to measure the pericardial fluid amount accurately. Downsampling of a dataset significantly increases the speed of segmentation without losing too much accuracy. Some of the other methods examined might be used to quickly estimate the severity of the effusion volumes.
在尸检过程中，测量心包积液的液体量是一项必要的操作。随着法医虚拟尸检方法的使用增加，出现了对计算机断层扫描（CT）数据进行快速体积测量方法的需求，特别是因为诸如CT血管造影等方法可能会改变心包内的液体含量。我们回顾性地选择了15例心包积血病例，这些病例均接受了死后成像和尸检。基于CT数据，使用分割技术和CT数据集的下采样来估计心包内的血量。此外，还检查了各种测量方法（积液的距离、面积和三维近似值），以找到一种快速简便的估计积液量的方法。如本研究所示，CT图像分割是一种准确测量心包液量的可行方法。数据集的下采样显著提高了分割速度，而不会损失太多准确性。所检查的其他一些方法可用于快速估计积液量的严重程度。
