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首页> 外文期刊>Journal of applied clinical medical physics / >Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
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Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera

机译:通过固定式参考框架3D相机进行非异常中心和非共面处理的患者运动跟踪

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Purpose As C‐arm linac radiation therapy evolves toward faster, more efficient delivery, and more conformal dosimetry, treatments with increasingly complex couch motions are emerging. Monitoring the patient motion independently of the couch motion during non‐coplanar, non‐isocentric, or dynamic couch treatments is a key bottleneck to their clinical implementation. The goal of this study is to develop a prototype real‐time monitoring system for unconventional beam trajectories to ensure a safe and accurate treatment delivery. Methods An in‐house algorithm was developed for tracking using a couch‐mounted three‐dimensional (3D) depth camera. The accuracy of patient motion detection on the couch was tested on a 3D printed phantom created from the body surface contour exported from the treatment planning system. The technique was evaluated against a commercial optical surface monitoring system with known phantom displacements of 3, 5, and 7?mm in lateral, longitudinal, and vertical directions by placing a head phantom on a dynamic platform on the treatment couch. The stability of the monitoring system was evaluated during dynamic couch trajectories, at speeds between 10.6 and 65?cm/min. Results The proposed monitoring system agreed with the ceiling mounted optical surface monitoring system in longitudinal, lateral, and vertical directions within 0.5?mm. The uncertainty caused by couch vibration increased with couch speed but remained sub‐millimeter for speeds up to 32?cm/min. For couch speeds of 10.6, 32.2, and 65?cm/min, the uncertainty ranges were 0.27– 0.73?mm, 0.15–0.87?mm, and 0.28–1.29?mm, respectively. Conclusion By mounting a 3D camera in the same frame‐of‐reference as the patient and eliminating dead spots, this proof of concept demonstrates real‐time patient monitoring during couch motion. For treatments with non‐coplanar beams, multiple isocenters, or dynamic couch motion, this provides additional safety without additional radiation dose and avoids some of the complexity and limitations of room mounted systems.
机译:目的作为C形臂LINAC放射治疗的发展朝向更快,更有效的交付,更高效的递送,更富集的剂量剂,具有越来越复杂的沙发运动的治疗。在非共面,非等中心或动态沙发治疗期间独立地监测患者运动,是它们的临床实施的关键瓶颈。本研究的目标是为非传统梁轨迹开发原型实时监控系统,以确保安全和准确的处理。方法采用内部算法,用于使用沙发安装的三维(3D)深度相机跟踪。在由从治疗计划系统出口导出的体表轮廓产生的3D印刷幻影上测试了沙发上的患者运动检测的准确性。通过将磁头虚拟体放置在治疗沙发上的动态平台上,对横向,纵向和垂直方向的已知模光表面监测系统评估了具有3,5和7ΩΩmm的商业光学表面监测系统。在动态沙发轨迹期间评估监测系统的稳定性,速度为10.6和65?cm / min。结果建议的监测系统同意在0.5Ωmm内的纵向,横向和垂直方向上的天花板安装光学表面监测系统。由沙发振动引起的不确定性随着沙发速度而增加,但剩余的亚毫米,速度高达32?cm / min。对于10.6,32.2和65?cm / min的沙发速度,不确定性范围分别为0.27-0.73ΩΩmm,0.15-0.87Ωmm,0.28-1.29Ωmm。结论通过将3D摄像机安装在与患者相同的引用帧中,并消除死区,这种概念证明在沙发运动期间表现出实时患者监测。对于具有非共面梁,多个等中心或动态沙发运动的处理,这提供了额外的安全性,无需额外的辐射剂量,并避免了房间安装系统的一些复杂性和限制。

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