Lee Yongbum, Hayakawa Takahide, Sasamoto Ryuta
Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Niigata University.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018;74(11):1286-1292. doi: 10.6009/jjrt.2018_JSRT_74.11.1286.
Countermeasures against respiratory movement are important for tumors of thorax and abdomen in stereotactic body radiation therapy. In the present paper, a web-camera-based-respiratory monitoring method without contact with patient's body was proposed for respiratory study. Thoracic and abdominal motion images were taken by a web camera, and were analyzed using simple image-processing techniques for obtaining respiratory waveforms. Four motion images with different respiration rate were obtained from resusci anne simulator. Respiration waveforms were estimated from the moving images by the proposed method, and were compared with respiration waveforms obtained by the conventional respiratory monitoring device. That was found to have a strong correlation. In addition, the two waveforms were similar in Bland-Altman method comparison. The proposed method can provide non-contact, non-invasive, simple, and realistic respiratory monitoring system for radiotherapy.
在立体定向体部放射治疗中,针对胸部和腹部肿瘤的呼吸运动对策非常重要。在本文中,提出了一种基于网络摄像头的、不接触患者身体的呼吸监测方法用于呼吸研究。胸部和腹部运动图像由网络摄像头拍摄,并使用简单图像处理技术进行分析以获取呼吸波形。从复苏安妮模拟器获得了四个不同呼吸频率的运动图像。通过所提出的方法从运动图像中估计呼吸波形,并将其与传统呼吸监测设备获得的呼吸波形进行比较。发现两者具有很强的相关性。此外,在布兰德-奥特曼方法比较中,这两种波形相似。所提出的方法可为放射治疗提供非接触、非侵入、简单且逼真的呼吸监测系统。