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Liver hydatid CT image segmentation based on localizing region active contours and modified parametric active contours

机译:基于局部活动轮廓和修正参数活动轮廓的肝包虫CT图像分割

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Liver hydatid disease is a common parasitic disease in farm and pastoral areas and seriously damages people's health. Based on CT imaging features of this disease, we perform experiments on the segmentation of the Liver hydatid CT image. The experimental results show that: according to the intensity distribution characteristics expressed by different tissues in liver hydatid CT image, localizing region active contours and modified parametric active contours is practical to liver and hydatid lesions segmentation simultaneously from liver hydatid CT images. we obtain the optimal segmentations and improve the internal and external statistical smoothness of liver hydatid CT image by adjusting local selected area size and a reasonable location dimension should be commonly employed because of the sensitive of the initialization.
机译:肝包虫病是农场和牧区的常见寄生虫病,严重损害人们的健康。基于这种疾病的CT成像特征,我们对肝包虫CT图像的分割进行了实验。实验结果表明:根据肝包虫CT图像中不同组织表达的强度分布特征,局部区域活动轮廓和修改后的参数活动轮廓对于从肝包虫CT图像同时分割肝脏和包虫病变是可行的。我们通过调整局部选定区域的大小来获得最佳分割,并改善肝脏包虫CT图像的内部和外部统计平滑度,并且由于初始化的敏感性,通常应采用合理的位置尺寸。

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