Journal of Radiation Protection and Research

The Korean Association for Radiation Protection (대한방사선방어학회)
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Development and Evaluation of the Utility of a Respiratory Monitoring and Visual Feedback System for Radiotherapy Using Machine Vision Technology

  • Kim, Chul Hang (Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine) ;
  • Choi, Hoon Sik (Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine) ;
  • Kang, Ki Mun (Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine) ;
  • Jeong, Bae Kwon (Institute of Health Science, School of Medicine, Gyeongsang National University) ;
  • Jeong, Hojin (Institute of Health Science, School of Medicine, Gyeongsang National University) ;
  • Ha, In Bong (Institute of Health Science, School of Medicine, Gyeongsang National University) ;
  • Song, Jin Ho (Institute of Health Science, School of Medicine, Gyeongsang National University)
  • Received : 2021.01.20
  • Accepted : 2021.08.03
  • Published : 2022.03.31
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Abstract

Background: We developed a machine vision technology program that tracks patients' real-time breathing and automatically analyzes their breathing patterns. Materials and Methods: To evaluate its potential for clinical application, the image tracking performance and accuracy of the program were analyzed using a respiratory motion phantom. Changes in the stability and regularity of breathing were observed in healthy adult volunteers according to whether the breathing pattern mirrored the breathing guidance. Results and Discussion: Displacement within a few millimeters was observed in real-time with a clear resolution, and the image tracking ability was excellent. This result was consistent even in the sections where breathing patterns changed rapidly. In addition, the respiratory gating method that reflected the individual breathing patterns improved breathing stability and regularity in all volunteers. Conclusion: The findings of this study suggest that this technology can be used to set the appropriate window and the range of internal target volume by reflecting the patient's breathing pattern during radiotherapy planning. However, further studies in clinical populations are required to validate this technology.

Keywords

Acknowledgement

This research was supported by a grant from the Institute of Health Sciences (No. IHS GNU-2018-02).

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