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KMID : 0364920220470010008
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Journal of Radiation Protection and Research
2022 Volume.47 No. 1 p.8 ~ p.15
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Development and Evaluation of the Utility of a Respiratory Monitoring and Visual Feedback System for Radiotherapy Using Machine Vision Technology
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Kim Chul-Hang
Choi Hoon-Sik
Kang Ki-Mun
Jeong Bae-Kwon
Jeong Ho-Jin
Ha In-Bong
Song Jin-Ho
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Abstract
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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.
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KEYWORD
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Machine Vision, Respiratory-Gated Radiation Therapy, Respiration Guiding, Radiotherapy
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