Geometric accuracy of a novel gimbals based radiation therapy tumor tracking system
Geometric accuracy of a novel gimbals based radiation therapy tumor tracking system
复制标题
DOI：
10.1016/j.radonc.2011.01.015
复制
发表时间：
2011-03-01
影响因子：
5.7
通讯作者：
De Ridder, Mark
中科院分区：
文献类型：
--
作者：
Depuydt, Tom;Verellen, Dirk;De Ridder, Mark
目的：VERO 是图像引导立体定向身体放射治疗的新型平台。正交万向节固定直线加速器-MLC 组件，允许实时移动肿瘤跟踪。这项研究确定了跟踪的几何精度。材料和方法：为了确定跟踪误差，一维移动模型产生频率高达每分钟 30 次呼吸 (bpm) 的正弦运动。使用二维机器人再现患者的肿瘤轨迹，并使用万向节跟踪系统原型进行追踪。使用移动光束光场和基于数码相机的检测单元跟踪误差、系统滞后和平移/倾斜性能的等效性进行测量。结果：平移系统延迟为 47.7 毫秒，俯仰系统延迟为 47.6 毫秒。应用系统滞后补偿，正弦运动跟踪是准确的，跟踪误差 90% 百分位 E-90% < 0.82 毫米，平移/倾斜性能类似。系统跟踪误差低于 0.14 毫米。 2D 肿瘤轨迹的跟踪平均 E-90% 为 0.54 毫米，平移跟踪误差标准偏差为 0.20 毫米，倾斜跟踪误差标准偏差为 0.22 毫米。结论：就动态行为而言，VERO 系统的万向直线加速器被证明是在放射治疗中提供准确的实时肿瘤跟踪的绝佳方法。 (C) 2011 爱思唯尔爱尔兰有限公司保留所有权利。放射治疗和肿瘤学98（2011）365-372
Purpose: VERO is a novel platform for image guided stereotactic body radiotherapy. Orthogonal gimbals hold the linac-MLC assembly allowing real-time moving tumor tracking. This study determines the geometric accuracy of the tracking. Materials and methods: To determine the tracking error, an 1D moving phantom produced sinusoidal motion with frequencies up to 30 breaths per minute (bpm). Tumor trajectories of patients were reproduced using a 2D robot and pursued with the gimbals tracking system prototype. Using the moving beam light field and a digital-camera-based detection unit tracking errors, system lag and equivalence of pan/tilt performance were measured. Results: The system lag was 47.7 ms for panning and 47.6 ms for tilting. Applying system lag compensation, sinusoidal motion tracking was accurate, with a tracking error 90% percentile E-90% < 0.82 mm and similar performance for pan/tilt. Systematic tracking errors were below 0.14 mm. The 2D tumor trajectories were tracked with an average E-90% of 0.54 mm, and tracking error standard deviations of 0.20 mm for pan and 0.22 mm for tilt. Conclusions: In terms of dynamic behavior, the gimbaled linac of the VERO system showed to be an excellent approach for providing accurate real-time tumor tracking in radiation therapy. (C) 2011 Elsevier Ireland Ltd All rights reserved. Radiotherapy and Oncology 98 (2011) 365-372