A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model

  • Yanli Wan
  • Quan Chen
  • Xingyun Lei
  • Yan Wang
  • Yongxin Chen
  • Hongpu HuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)


In this paper, a framework for calibrating and correcting geometric parameters of CBCT based on visual imaging model is designed. Based on this framework, an automatic detection and recognition method for markers and a calibration and correction method for geometric parameters of CBCT under complex conditions are designed. Specifically, an algorithm for detecting and recognizing markers with high robustness and accuracy to rotation, illumination and marking imaging deformation is proposed. The geometric parameters of visual imaging model are estimated by using the corresponding relationship of high-precision markers, and the geometric parameters are optimized and corrected based on the minimum re-projection error.


Visual imaging model CBCT Calibration Marker detection Marker recognition 



This work is supported by the National Natural Science Foundation of China (61703436), and the Fundamental Research Funds for the Central Universities (3332018103).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Yanli Wan
    • 1
  • Quan Chen
    • 1
  • Xingyun Lei
    • 1
  • Yan Wang
    • 1
  • Yongxin Chen
    • 1
  • Hongpu Hu
    • 1
    Email author
  1. 1.Institute of Medical InformationChinese Academy of Medical SciencesBeijingChina

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