阈值法在肝包虫病CT图像分割中的应用

Applicatiom of threshold segmentation of CT images in liver hydatid disease

目的探讨阈值法在肝包虫病CT图像分割中的应用价值。方法选择20张患有肝包虫病的病患CT图像,对CT图像进行归一化预处理,然后对其进行阈值法分割。结果成功分割17张,分割失败3张,分割成功率为85%,过度分割和漏分割情况较少,分割的结果图像比较清晰饱满,光滑连通性好,基本没有线条缺损的现象。结论阈值法适合肝包虫病CT图像的分割,基本能达到比较准确的判断。能很好地帮助肝包虫病CT图像的纹理特征、形状特征及其他特征的提取,较理想地将目标与背景分开来实现分割。

Objective To explore the application value of the threshold method in the segmentation of CT images of liver hydatid disease. Methods Twenty patients suffering from liver hydatid disease were tested by CT, the CT images were normalized preprocessing and their threshold segmentations were taken. Re- suits Seventeen sheets were splited successfully, 3 sheets were failed, the success rate was 85%. Exces- sive and leakage points were less, the resulting images were clear and full, smooth connectivity, with no lines defects basically. Conclusion Threshold method is more suitable for segmentation of CT images of liver hydatid disease, it can meet the more accurate judgments. Threshold method can help to extract the texture features, shape features and other feature liver hydatid disease CT image ,and can separate the tar- get and background separately to achieve segmentation.