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卢涤非, 叶修梓, 吴吟, 蔡文立. 三维网格引导的癌变病人CT图像的腹腔分割[J]. 计算机辅助设计与图形学学报, 2015, 27(6): 1017-1023.
引用本文: 卢涤非, 叶修梓, 吴吟, 蔡文立. 三维网格引导的癌变病人CT图像的腹腔分割[J]. 计算机辅助设计与图形学学报, 2015, 27(6): 1017-1023.
Lu Difei, Ye Xiuzi, Wu Yin, Cai Wenli. Mesh-Based Segmentation of Abdominal Cavity for Patient with Cancer in CT Images[J]. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(6): 1017-1023.
Citation: Lu Difei, Ye Xiuzi, Wu Yin, Cai Wenli. Mesh-Based Segmentation of Abdominal Cavity for Patient with Cancer in CT Images[J]. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(6): 1017-1023.

三维网格引导的癌变病人CT图像的腹腔分割

Mesh-Based Segmentation of Abdominal Cavity for Patient with Cancer in CT Images

  • 摘要: 针对癌变CT图像中各器官变形严重,传统分割算法无法有效、完整地分割整个腹腔的问题,提出基于三维网格的分割算法.首先借助肋骨和脊椎等骨架获得初始腹腔骨架;然后构造一个球形初始三角网格,并建立与腹腔骨架间的关联;再通过3个目标函数变形网格;最后在网格附近的边界点优化网格,获得腹腔分割结果.实验结果表明,该算法能够有效地对病变严重的CT图像进行腹腔分割,对噪声和器官变形有良好的鲁棒性.

     

    Abstract: The organs with cancers in CT image deform seriously and the traditional segmentation methods cannot segment the entire chest correctly.This paper presents a 3D mesh based segmentation method.Firstly,an initial chest skeleton is found using ribs and back bones; secondly a sphere triangle mesh is constructed and the correspondence between the mesh and the chest skeleton is created; thirdly the mesh is deformed according to three objective functions; finally the mesh is refined by edge voxels near the mesh and the segmentation result is refined.Experimental results show that the proposed method can efficiently segment the seriously-deformed chest in CT image,which is robust against the noise and deformation of organs.

     

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