中文摘要：

医药诊断软件和帮助计算机的外科的系统经常使用分割的图象数据帮助临床医生作决定。分割从背景提取兴趣的区域，它使可视化更清楚。然而，没有分割方法罐头在所有情形下面保证精确结果。作为结果，临床医生需要使他们能象没有歧义，显示分割的区域一样检查并且验证分割精确性的一个答案。与在这篇论文介绍的方法，真实 CT 或先生图象在分割的区域以内被显示，分割的边界能交互地被扩展或收缩。由这样，临床医生能视觉上检查并且验证并且做更可靠的决定分割。在有来自一所医院的真实数据的实验以后，介绍方法被证明对高效地检测分割错误合适。新算法使用小量的折扣功能最近在图形的卡片介绍了的新图形的处理 uint (GPU ) 并且是足够快的在分割的区域上交往，它不与以前的方法是可能的。

英文摘要：

Medical diagnosis software and computer-assisted surgical systems often use segmented image data to help clinicians make decisions. The segmentation extracts the region of interest from the background, which makes the visualization clearer. However, no segmentation method can guarantee accurate results under all circumstances. As a result, the clinicians need a solution that enables them to check and validate the segmentation accuracy as well as displaying the segmented area without ambiguities. With the method presented in this paper, the real CT or MR image is displayed within the segmented region and the segmented boundaries can be expanded or contracted interactively. By this way, the clinicians are able to check and validate the segmentation visually and make more reliable decisions. After experiments with real data from a hospital, the presented method is proved to be suitable for efficiently detecting segmentation errors. The new algorithm uses new graphic processing uint （GPU） shading functions recently introduced in graphic cards and is fast enough to interact oil the segmented area, which was not possible with previous methods.