2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

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.
  • [1] Marsh A, Simistira F, Robb R. VR in medicine: virtual colonoscopy. Future Generation Computer Systems, 1998, 14(3-4): 253-264
    [2] Chou S C, Tsai C Y, Lin Y C. Virtual colonoscopy perforation in two asymptomatic patients without apparent colon diseases. Journal of Experimental & Clinical Medicine, 2013, 5(5): 199-200
    [3] Vilanova Bartroli A V, Wegenkittl R, Konig A, Groller E. Nonlinear virtual colon unfolding. In: Proceedings of the Visualization Conference. San Diego, CA, USA: IEEE, 2001. 411-579
    [4] Sun Z H, Dimpudus F J, Nugroho J, Adipranoto J D. CT virtual intravascular endoscopy assessment of coronary artery plaques: a preliminary study. European Journal of Radiology, 2010, 75(1): e112-e119
    [5] Preim B, Botha C. Visual Computing for Medicine (2nd Edition). New York: Morgan Kaufmann Publishers, 2014. 509-536
    [6] Datta A, Soundaralakshmi S. Fast parallel algorithm for distance transforms. In: Proceedings of the 15th International Parallel and Distributed Processing Symposium. San Francisco, CA, USA: IEEE, 2001. 1130-1134
    [7] Palágyi K, Kuba A. A 3D 6-subiteration thinning algorithm for extracting medial lines. Pattern Recognition Letters, 1998, 19(7): 613-627
    [8] Cui Ning, Zhang Cai-Ming, Liu Yi. Optimized topological thinning algorithm for virtual endoscopy. Journal of System Simulation, 2006, 18(10): 2856-2858 (崔宁, 张彩明, 刘毅. 应用于虚拟内窥镜系统的拓扑细化算法的优化. 系统仿真学报, 2006, 18(10): 2856-2858)
    [9] Huang H, Wu S H, Cohen-or D, Gong M L, Zhang H, Li G Q, Chen B Q. L1-medial skeleton of point cloud. ACM Transactions on Graphics, 2013, 32(4): 96
    [10] Milasevic P R, Ducharme G. Uniqueness of the spatial median. Annals of Statistics, 1987, 15(3): 1332-1333
    [11] Liu Song-Tao, Yin Fu-Liang. The basic principle and its new advances of image segmentation methods based on graph cuts. Acta Automatica Sinica, 2012, 38(6): 911-922 (刘松涛, 殷福亮. 基于图割的图像分割方法及其新进展. 自动化学报, 2012, 38(6): 911-922)
    [12] Xu Feng, Wang Xing-Ce, Zhou Ming-Quan, Wu Zhong-Ke, Liu Xin-Yu. Segmentation algorithm of brain vessel image based on SEM statistical mixture model. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(11): 1905-1911 (徐丰, 王醒策, 周明全, 武仲科, 刘新宇. SEM混合模型脑血管分割算法. 计算机辅助设计与图形学学报, 2010, 22(11): 1905-1911)
    [13] Zhou Shou-Jun, Jia Fu-Cang, Hu Qing-Mao, Xie Yao-Qing, Gu Jia, Shang Peng. Segmentation of three-dimensional data of brain magnetic resonance angiography based on Markov random field. Journal of Integration Technology, 2014, 3(1): 27-37 (周寿军, 贾富仓, 胡庆茂, 谢耀钦, 辜嘉, 尚鹏. 基于 Markov随机场的脑部三维磁共振血管造影数据的分割. 集成技术, 2014, 3(1): 27-37)
    [14] Akas G, Grimm M, Savopoulos A. Optimized maximum intensity projection (MIP). In: Proceedings of the 1995 Eurographics Rendering Workshop. Dublin, Ireland: Springer, 1995. 51-63
    [15] Long Jian-Wu, Shen Xuan-Jing, Chen Hai-Peng. Adaptive minimum error thresholding algorithm. Acta Automatica Sinica, 2012, 38(7): 1134-1144 (龙建武, 申铉京, 陈海鹏. 自适应最小误差阈值分割算法. 自动化学报, 2012, 38(7): 1134-1144)
    [16] Fang Jun, Fang Xiao-Yang. An efficient ray casting volume rendering algorithm. Computer Technology and Development, 2014, 24(8): 67-70 (方军, 房晓阳. 一种高效的光线投射体绘制算法. 计算机技术与发展, 2014, 24(8): 67-70)
    [17] Lipman Y, Cohen-Or D, Levin D, Tal-Ezer H. Parameterization-free projection for geometry reconstruction. ACM Transactions on Graphics (TOG), 2007, 26(3), DOI: 10. 1145/1276377.1276405
    [18] Alexa M, Adamson A. Interpolatory point set surfaces --- convexity and Hermite data. ACM Transactions on Graphics (TOG), 2009, 28(2): 1-20
  • 加载中
计量
  • 文章访问数:  1486
  • HTML全文浏览量:  106
  • PDF下载量:  1449
  • 被引次数: 0
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

目录

    /

    返回文章
    返回