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Augmented reality navigation with real-time tracking for facial repair surgery

  • Original Article
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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Facial repair surgeries (FRS) require accuracy for navigating the critical anatomy safely and quickly. The purpose of this paper is to develop a method to directly track the position of the patient using video data acquired from the single camera, which can achieve noninvasive, real time, and high positioning accuracy in FRS.

Methods

Our method first performs camera calibration and registers the surface segmented from computed tomography to the patient. Then, a two-step constraint algorithm, which includes the feature local constraint and the distance standard deviation constraint, is used to find the optimal feature matching pair quickly. Finally, the movements of the camera and the patient decomposed from the image motion matrix are used to track the camera and the patient, respectively.

Results

The proposed method achieved fusion error RMS of 1.44 ± 0.35, 1.50 ± 0.15, 1.63 ± 0.03 mm in skull phantom, cadaver mandible, and human experiments, respectively. The above errors of the proposed method were lower than those of the optical tracking system-based method. Additionally, the proposed method could process video streams up to 24 frames per second, which can meet the real-time requirements of FRS.

Conclusions

The proposed method does not rely on tracking markers attached to the patient; it could be executed automatically to maintain the correct augmented reality scene and overcome the decrease in positioning accuracy caused by patient movement during surgery.

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Acknowledgments

The authors gratefully acknowledge the support provided by the National Key R&D Program of China (2019YFC0119300), the National Science Foundation Program of China (62025104, 61901031), and Beijing Nova Program (Z201100006820004) from Beijing Municipal Science & Technology Commission.

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Authors and Affiliations

  1. Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China

    Long Shao, Zhao Zheng, Zehua Zhao, Lele Ding, Jingfan Fan & Jian Yang

  2. Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, 100081, China

    Tianyu Fu

  3. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Hong Song

  4. Department of Oral and Maxillofacial Surgery, Peking Union Medical College Hospital, Beijing, 100730, China

    Tao Zhang

Authors
  1. Long Shao
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  2. Tianyu Fu
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  3. Zhao Zheng
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  4. Zehua Zhao
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  5. Lele Ding
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  6. Jingfan Fan
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  7. Hong Song
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  8. Tao Zhang
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  9. Jian Yang
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Corresponding authors

Correspondence to Tianyu Fu or Jian Yang.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional review board and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Cite this article

Shao, L., Fu, T., Zheng, Z. et al. Augmented reality navigation with real-time tracking for facial repair surgery. Int J CARS 17, 981–991 (2022). https://doi.org/10.1007/s11548-022-02589-0

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  • DOI: https://doi.org/10.1007/s11548-022-02589-0

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