华南理工大学学报(自然科学版) ›› 2010, Vol. 38 ›› Issue (11): 141-147.doi: 10.3969/j.issn.1000-565X.2010.11.025

• 计算机科学与技术 • 上一篇    下一篇

基于ICP算法的脊椎手术导航配准技术

田和强 吴冬梅 杜志江 孙立宁   

  1. 哈尔滨工业大学 机器人技术与系统国家重点实验室, 黑龙江 哈尔滨 150080
  • 收稿日期:2010-01-06 修回日期:2010-03-16 出版日期:2010-11-25 发布日期:2010-11-25
  • 通信作者: 田和强(1979-),男,博士生,主要从事医疗机器人与医学图像技术研究. E-mail:thq_1980@126.com
  • 作者简介:田和强(1979-),男,博士生,主要从事医疗机器人与医学图像技术研究.
  • 基金资助:

    国家“863”计划项目(2009AA04Z202); 国家自然科学基金资助项目(60675037); 教育部新世纪优秀人才支持计划项目(NCET-07-0232)

Registration Technology Based on ICP Algorithm for Spinal Surgical Navigation

Tian He-qiang  Wu Dong-mei  Du Zhi-jiang  Sun Li-ning   

  1. State Key Laboratory of Robotics and System,Harbin Institute of Technology,Harbin 150080,Heilongjiang,China
  • Received:2010-01-06 Revised:2010-03-16 Online:2010-11-25 Published:2010-11-25
  • Contact: 田和强(1979-),男,博士生,主要从事医疗机器人与医学图像技术研究. E-mail:thq_1980@126.com
  • About author:田和强(1979-),男,博士生,主要从事医疗机器人与医学图像技术研究.
  • Supported by:

    国家“863”计划项目(2009AA04Z202); 国家自然科学基金资助项目(60675037); 教育部新世纪优秀人才支持计划项目(NCET-07-0232)

摘要: 针对计算机辅助脊椎手术三维导航技术中术前CT图像与术中实际对象的配准问题,提出一种基于Visualization Toolkit(VTK)的在三维可视化平台环境下通过电磁定位系统进行配准的两步配准策略:首先,在虚拟空间和实际空间中的脊椎骨表面取几个特征点,进行粗配准;然后,在实际空间利用电磁定位探针在脊椎骨表面取点,并从虚拟空间提取对应的脊椎骨表面点;最后通过ICP(最近点迭代)算法进行精细配准.同时对ICP算法进行了模拟验证和精度分析,以脊柱模型骨为对象进行了脊柱手术导航配准精度实验,并进行了误差分析.结果表明这种配准方法简单可靠,在模型骨情况下最后的配准精度可达到临床手术的要求.

关键词: 脊椎, 手术导航, 图像配准, Visualization Toolkit 最近点迭代算法

Abstract:

This paper deals with the registration between preoperative CT images and intraoperative physical objects in the three-dimension computer-assisted spinal surgical navigation technology,and proposes a two-step registration strategy,which realizes the registration by an electromagnetic positioning system on the three-dimension visualization platform based on Visualization Toolkit(VTK).In this strategy,several feature points are extracted on a spine bone surface respectively in the virtual space and in the physical space for coarse registration,an electromagnetic positioning probe is used to extract points on the spine surface in physical space,and the corresponding points are extracted in the virtual space.Moreover,the ICP(Iterative Closest Point) algorithm is used to complete a fine registration.The ICP algorithm is then validated by simulation and the accuracy of it is also analyzed.Finally,a registration experiment is performed with a spine model to evaluate the accuracy of the proposed method,followed with an error analysis.The results show that the proposed registration method is simple and reliable,and that the final registration accuracy for spine model meets the finical surgery requirements well.

Key words: spine, surgical navigation, image registration, Visualization Toolkit, iterative closest point algorithm