Liver Vessels Segmentation Using a Hybrid Geometrical Moments/Graph Cuts Method
Liver Vessels Segmentation Using a Hybrid Geometrical Moments/Graph Cuts Method
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DOI：
10.1109/tbme.2009.2032161
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发表时间：
2010-02-01
影响因子：
4.6
通讯作者：
Dillenseger, Jean-Louis
中科院分区：
文献类型：
--
作者：
Esneault, Simon;Lafon, Cyril;Dillenseger, Jean-Louis
本文描述了一种基于计算机断层扫描术前图像的快速全自动肝血管分割方法。该方法的基础是在最小切割/最大流量能量最小化框架内引入基于三维几何矩的圆柱形检测器。该方法代表了一种将数据项作为约束引入广泛使用的Boykov图切割算法的原始方法，从而实现了自动分割。在合成数据集上对该方法进行了评估并与其他方法进行了比较。最后，我们的方法与计划一个必要准确的经皮高强度聚焦超声手术的一些例子证明了相关性。
This paper describes a fast and fully automatic method for liver vessel segmentation on computerized tomography scan preoperative images. The basis of this method is the introduction of a 3-D geometrical moment-based detector of cylindrical shapes within the minimum-cut/maximum-flow energy minimization framework. This method represents an original way to introduce a data term as a constraint into the widely used Boykov's graph cuts algorithm, and hence, to automate the segmentation. The method is evaluated and compared with others on a synthetic dataset. Finally, the relevancy of our method regarding the planning of a necessarily accurate percutaneous high-intensity focused ultrasound surgical operation is demonstrated with some examples.