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计算机工程 ›› 2009, Vol. 35 ›› Issue (15): 7-9,12.doi: 10.3969/j.issn.1000-3428.2009.15.003

• 博士论文 • 上一篇    下一篇

基于校准靶的C形臂相机模型自动校准方法

钱理为1，王成焘1，闫士举1，夏 庆2   

  1. (1. 上海交通大学机械与动力工程学院，上海 200240；2. 上海复旦大学附属中山医院骨科，上海 200032)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-08-05 发布日期:2009-08-05

Automatic Calibration Method for C-arm Camera Model Based on Calibration Target

QIAN Li-wei1, WANG Cheng-tao1, YAN Shi-ju1, XIA Qing2   

  1. (1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240; 2. Orthopaedics, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-08-05 Published:2009-08-05

PDF

1034

被引次数

5 | 2

摘要： 根据校准靶标志点影像的特点，提出一种自动的离线C形臂相机模型校准方法。应用聚类算法实现标志点信息的自动识别，通过行列索引表简化标志点网格姿态的识别，自动建立标志点在影像坐标系和空间坐标系下坐标的对应关系，经几何变形校正后，实现C形臂相机的校准。实验数据证明，该方法具有良好的鲁棒性，误差小于1 mm，可应用于基于术中C形臂X线影像的手术导航系统。

关键词: C形臂, 校准靶, 自动识别, 手术导航

Abstract: According to the analysis of characteristics of calibration target marker images, an automated off-line calibration method for C-arm camera model is proposed. The method can extract the markers information from images automatically applying clustering algorithms. Through the row and column index table, the problem of the orientation recognition of the marker mesh is simplified and the correspondence between markers coordinates in image coordinate system and those in spatial coordinate system can be established automatically. Basing on this correspondence, the geometric distortion can be corrected and the C-arm camera model calibration can be performed. This automation method is proved to be robust by experimental results and the error is less than 1 mm. The method can be applied in the surgical navigation system based on operative C-arm fluoroscopy.

Key words: C-arm, calibration target, automatic recognition, surgical navigation

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