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Liver Extraction based on blood vessel using multislice CT datasets

机译:使用多层CT数据集基于血管的肝脏提取

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At liver transplantation planning stage, liver volumetry extraction would be helpful for surgeons. The main problem at liver extraction is wide variability of anatomic structures of liver in shape and size. to overcome that problem, we propose a method based on hepatic blood vessel as it defers from a person to another as well. in this method we used CT datasets at portal venous phase to extract portal and hepatic veins. then we construct polyhedron structure of liver using endpoints of extracted vessels. then, we extended that region based on liver map and volume of extracted region during dilation. to stop dilation, we draw tree structure of increased area. when it changes direction from increasing to decreasing, that time we stop dilation to get final liver shape. results of that method agree with manual labeling done by an expert and reviewed by a medical doctor at rate 97.04%. this method seems promising to extract various liver shapes and sizes.
机译:在肝移植计划阶段,肝脏容量提取将对外科医生有所帮助。肝脏提取的主要问题是肝脏的解剖结构在形状和大小上的广泛差异。为了克服这个问题,我们提出了一种基于肝血管的方法,因为它也可以从一个人到另一个人。在这种方法中,我们使用门静脉期的CT数据集提取门静脉和肝静脉。然后我们使用提取血管的端点构建肝脏的多面体结构。然后,我们根据肝脏图和扩张过程中提取区域的体积扩展该区域。为了停止膨胀,我们绘制了面积增加的树形结构。当它的方向从增加变为减少时,我们停止扩张以达到最终的肝脏形状。该方法的结果与专家手工标记并由医生复查的人工标记相符,比率为97.04%。该方法似乎有望提取各种肝脏形状和大小。

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