Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
470174 | Computer Methods and Programs in Biomedicine | 2008 | 5 Pages |
Abstract
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.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Shaohui Huang, Boliang Wang, Ming Cheng, Xiaoyang Huang, Ying Ju,