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一种新的虚拟血管镜自动导航路径生成方法

金朝勇 耿国华 李姬俊男 周明全 朱新懿

金朝勇, 耿国华, 李姬俊男, 周明全, 朱新懿. 一种新的虚拟血管镜自动导航路径生成方法. 自动化学报, 2015, 41(8): 1412-1418. doi: 10.16383/j.aas.2015.c150014
引用本文: 金朝勇, 耿国华, 李姬俊男, 周明全, 朱新懿. 一种新的虚拟血管镜自动导航路径生成方法. 自动化学报, 2015, 41(8): 1412-1418. doi: 10.16383/j.aas.2015.c150014
JIN Chao-Yong, GENG Guo-Hua, LI Ji-Jun-Nan, ZHOU Ming-Quan, ZHU Xin-Yi. A New Automatic Navigation Path Generation Approach to Virtual Angioscopy. ACTA AUTOMATICA SINICA, 2015, 41(8): 1412-1418. doi: 10.16383/j.aas.2015.c150014
Citation: JIN Chao-Yong, GENG Guo-Hua, LI Ji-Jun-Nan, ZHOU Ming-Quan, ZHU Xin-Yi. A New Automatic Navigation Path Generation Approach to Virtual Angioscopy. ACTA AUTOMATICA SINICA, 2015, 41(8): 1412-1418. doi: 10.16383/j.aas.2015.c150014

一种新的虚拟血管镜自动导航路径生成方法

doi: 10.16383/j.aas.2015.c150014
基金项目: 

国家自然科学基金(61170203, 61172170), 陕西省自然科学基金(2014JQ8315), 西北大学科学研究基金(12NW03)

详细信息
    作者简介:

    耿国华 西北大学信息科学与技术学院教授.主要研究方向为智能信息处理,数据库与知识库,图形图像处理.E-mail:ghgeng@nwu.edu.cn

A New Automatic Navigation Path Generation Approach to Virtual Angioscopy

Funds: 

Supported by National Natural Science Foundation of China (61170203, 61172170), Natural Science Grant of Xi'an Province (2014JQ8315), and Scientific Research Fund of Northwestern University (12NW03)

  • 摘要: 血管的中心路径提取是虚拟血管镜的重要组成部分, 它提供了自动导航的路径. 本文提出一种新的内窥路径生成方法, 用改进L1中值算法对体素点云化的脑血管数据进行骨架的提取. 首先,对核磁共振成像(Magnetic resonance imaging, MRI)增强血管数据进行基于统计的分割算法进行分割; 其次,对推广的Roberts算子在体素空间分割出的单体素点边界进行体素点的点云化, 生成点云模型; 最后,在点云空间中运用基于法向信息的L1中值算法进行骨架提取. 该过程克服了传统方法在体素中进行骨架提取时对数据缺失、孤点敏感的局限性, 并且对下采样后的点云化数据提取的骨架效率高, 骨架居中性较好, 最终把骨架用作脑血管虚拟内窥的自动漫游路径, 实现自动导航.
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出版历程
  • 收稿日期:  2015-01-09
  • 修回日期:  2015-04-08
  • 刊出日期:  2015-08-20

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