Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Department of Physics, Mary Bird Perkins Cancer Center, Baton Rouge, LA, USA.
J Appl Clin Med Phys. 2022 Oct;23(10):e13768. doi: 10.1002/acm2.13768. Epub 2022 Sep 9.
To develop a methodology that can be used to measure the temporal latency of a respiratory gating system.
The gating system was composed of an automatic gating interface (Response) and an in-house respiratory motion monitoring system featuring an optically tracked surface marker. Two approaches were used to measure gating latencies. A modular approach involved measuring separately the latency of the gating system's complementary metal-oxide-semiconductor tracking camera, tracking software, and a gating latency of the LINAC. Additionally, an end-to-end approach was used to measure the total latency of the gating system. End-to-end latencies were measured using the displacement of a radiographic target moving at known velocities during the gating process.
Summing together the latencies of each of the modular components investigated yielded a total beam-on latency of 1.55 s and a total beam-off latency of 0.49 s. End-to-end beam-on and beam-off latency was found to be 1.49 and 0.34 s, respectively. In each case, no statistically significant differences were found between the end-to-end latency of the gating system and the summation of the individually measured components.
Two distinct approaches to quantify gating latencies were presented. Measuring the end-to-end latency of the gating system provided an independent means of validating the modular approach. It is expected that the beam-on latencies reported in this work could be reduced by altering the control system configuration of the LINAC. The modular approach can be used to decouple the individual latencies of the gating system, but future improvements in the temporal resolution of the service graphing feature are needed to reduce the uncertainty of LINAC-related gating latencies measured using this approach. Both approaches are generalizable and can be used together when designing a quality assurance program for a respiratory gating system.
开发一种可用于测量呼吸门控系统时间延迟的方法。
门控系统由自动门控接口(Response)和一个内部呼吸运动监测系统组成,该系统具有光学跟踪表面标记。使用两种方法来测量门控延迟。一种模块化方法包括分别测量门控系统互补金属氧化物半导体跟踪相机、跟踪软件和 LINAC 的门控延迟的延迟。此外,还使用端到端方法测量门控系统的总延迟。使用在门控过程中以已知速度移动的射线照相靶的位移来测量端到端延迟。
将所研究的每个模块化组件的延迟相加,得到总束开启延迟为 1.55 秒,总束关闭延迟为 0.49 秒。端到端束开启和束关闭延迟分别为 1.49 秒和 0.34 秒。在每种情况下,门控系统的端到端延迟与单独测量组件的总和之间均未发现统计学上的显著差异。
提出了两种量化门控延迟的不同方法。测量门控系统的端到端延迟为验证模块化方法提供了一种独立的手段。预计通过改变 LINAC 的控制系统配置,可以降低本文报告的束开启延迟。模块化方法可用于分离门控系统的各个延迟,但需要改进服务图表功能的时间分辨率,以减少使用这种方法测量的与 LINAC 相关的门控延迟的不确定性。这两种方法都是通用的,在设计呼吸门控系统的质量保证计划时可以一起使用。