Huang Shaohui, Wang Boliang, Cheng Ming, Huang Xiaoyang, Ju Ying
Computer Science Department, Xiamen University, 361005 Xiamen, Fujian, China.
Comput Methods Programs Biomed. 2008 Dec;92(3):274-8. doi: 10.1016/j.cmpb.2008.05.008. Epub 2008 Jul 17.
In living donor liver transplantation, the volume of the potential graft must be measured to ensure sufficient liver function after surgery. Couinaud divided the liver into 8 functionally independent segments. However, this method is not simple to perform in 3D space directly. Thus, we propose a rapid method to segment the liver based on the hepatic vessel tree. The most important step of this method is vascular projection. By carefully selecting a projection plane, a 3D point can be fixed in the projection plane. This greatly helps in rapid classification. This method was validated by applying it to a 3D liver depicted on CT images, and the result was in good agreement with Couinaud's classification.
在活体供肝肝移植中,必须测量潜在移植物的体积,以确保术后有足够的肝功能。库尼亚德将肝脏分为8个功能独立的段。然而,这种方法在三维空间中直接操作并不简单。因此,我们提出一种基于肝血管树分割肝脏的快速方法。该方法最重要的步骤是血管投影。通过仔细选择一个投影平面,可以将一个三维点固定在投影平面上。这极大地有助于快速分类。将该方法应用于CT图像上描绘的三维肝脏进行验证,结果与库尼亚德的分类结果吻合良好。