系统仿真学报 ›› 2015, Vol. 27 ›› Issue (10): 2525-2530.

• 虚拟现实与可视化 • 上一篇    下一篇

三维支气管树分割与中心路径提取算法研究

李艳波, 于翔   

  1. 黑龙江工程学院计算机科学与技术学院,哈尔滨 150050
  • 收稿日期:2015-06-02 修回日期:2015-07-24 出版日期:2015-10-08 发布日期:2020-08-07
  • 作者简介:李艳波(1980-),女,黑龙江,博士,讲师,研究方向为虚拟现实与医学图像处理;于翔(1978-),男,博士,讲师,研究方向为数据挖掘与信息安全。
  • 基金资助:
    黑龙江省教育厅科学技术研究项目(12531539)

Research on 3D Airway Trees Segmentation and Centerline Extraction Algorithm

Li Yanbo, Yu Xiang   

  1. College of Computer Science and Technology. Heilongjiang Institute of Technology, Harbin 150050, China
  • Received:2015-06-02 Revised:2015-07-24 Online:2015-10-08 Published:2020-08-07

摘要: 中心路径提取是虚拟内窥镜的主要关键技术之一,但是对于复杂的多分支结构器官的分割和准确提取具有正确拓扑结构的中心路径十分困难。因此针对该问题,提出三维支气管树分割与中心路径提取算法。该方法通过改进的区域增长法分别提取支气管的主干分支和细小分支,在分割结果中确定初始中心路径点,利用Jacobian矩阵的几何意义矫正中心点,生成具有正确的拓扑结构的中心路径。实验结果表明: 该方法可以得到包含第5级以上的支气管的中心路径,对于单分支和多分支的器官组织同样具有较好的准确性。

关键词: 虚拟内窥镜, 支气管树分割, 区域增长法, 评价函数, 中心路径, Jacobian矩阵

Abstract: Centerline extraction plays an important role in virtual bronchology. Organ segmentation and centerline extraction with correct topology structure is very difficult, especially for multiple branching structure organs. Therefore, a 3D airway tree segmentation and centerline extraction algorithm was proposed. A new region growing method was proposed to extract the main branch and sub-branch. The initial center was extracted based on the relationship of adjacent section. The center was corrected by computing the value of the determinant of Jacobian matrix, and the path with all the points was generated by Dijkstra's shortest path algorithm. The experimental results show that this method can extract the complete lung airway tree with magnitude 5 bronchus, and illustrate the accuracy for the single and multiple branch organs.

Key words: virtual bronchoscopy, airway tree segmentation, region growing, evaluation function, centerline, Jacobian matrix

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