Department of Radiation Oncology, Taipei Medical University Hospital, No. 252, Wu-Hsing St., Taipei, 11031, Taiwan.
Department of Mechanical Engineering, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao E. Rd., Taipei, 10608, Taiwan.
Med Phys. 2017 Jun;44(6):2077-2095. doi: 10.1002/mp.12239. Epub 2017 Jun 6.
This study aimed to determine the feasibility of using an ultrasound image tracking algorithm (UITA) combined with a respiration compensating system (RCS) to track and compensate the respiration pattern of the diaphragm in real time.
Diaphragm motions and various respiration patterns were tracked and captured in volunteers using our previously developed UITA (Kuo et al., J Xray Sci Technol, 2016:875). A diaphragm phantom was placed on a respiration simulation system (RSS) that received signals with different respiration patterns to simulate actual human respiration signals. The RSS was mounted on the RCS, which is 180 cm long and driven by inputting a compensating signal to a linear actuator underneath with and without using a phase-lead compensator (PLC) (Chuang et al., J Xray Sci Technol, 2015:503). The target displacement was calculated automatically by the UITA and compensated by the RCS. The phantom displacements were observed using a fluoroscopic imaging system on the linear accelerator at the Department of Radiation Oncology, Taipei Medical University Hospital, and the results were also compared with the displacements measured by the UITA and the RSS for correlation verification. In addition, the compensating effect was analyzed after activating the RCS.
The experimental results indicate a significant correlation between the UITA-calculated and actual displacements, with a correlation coefficient of up to 91% for the simulated respiration patterns. After activating the RCS, the obtained compensating effect was more than 65%, and even up to 85% if a PLC was used. Moreover, the compensation of 10 extreme respiration patterns of diaphragm was improved significantly through the use of a PLC, with a peak compensating rate of 88.92% being achieved. Finally, compensation effects ranging from 52% to 74% were obtained in 10 human volunteers.
This study combined ultrasound imaging tracking technology with the RCS to offset the respiration-induced diaphragm displacement and compensate the various respiration patterns, even including those with baseline-shift phenomenon in real time with the aid of a noninvasive ultrasound imaging system.
本研究旨在确定使用超声图像跟踪算法(UITA)结合呼吸补偿系统(RCS)实时跟踪和补偿膈肌呼吸模式的可行性。
使用我们之前开发的 UITA(Kuo 等人,J Xray Sci Technol,2016:875),在志愿者中跟踪和捕获膈肌运动和各种呼吸模式。将膈肌模拟体放置在呼吸模拟系统(RSS)上,该系统接收具有不同呼吸模式的信号,以模拟实际的人体呼吸信号。RSS 安装在 RCS 上,RCS 长 180 厘米,通过在下方的线性执行器输入补偿信号进行驱动,同时使用和不使用相位超前补偿器(PLC)(Chuang 等人,J Xray Sci Technol,2015:503)。UITA 自动计算目标位移,并由 RCS 进行补偿。在台北医学大学附设医院放射肿瘤科的直线加速器上使用荧光透视成像系统观察模拟体的位移,并将结果与 UITA 和 RSS 测量的位移进行比较以进行相关性验证。此外,还分析了激活 RCS 后的补偿效果。
实验结果表明,UITA 计算出的和实际的位移之间存在显著的相关性,对于模拟的呼吸模式,相关系数高达 91%。激活 RCS 后,获得的补偿效果超过 65%,如果使用 PLC,则甚至可以达到 85%。此外,通过使用 PLC,对 10 种极端的膈肌呼吸模式的补偿得到了显著改善,峰值补偿率达到 88.92%。最后,在 10 名人类志愿者中获得了 52%至 74%的补偿效果。
本研究将超声成像跟踪技术与 RCS 相结合,以抵消呼吸引起的膈肌位移,并实时补偿各种呼吸模式,甚至包括具有基线偏移现象的呼吸模式,同时借助非侵入性超声成像系统。