Buzurovic I, Yu Y, Podder T
Thomas Jefferson University, Philadelphia, PA.
The Brody School of Medicine, Greenville, NC.
Med Phys. 2012 Jun;39(6Part28):3971-3972. doi: 10.1118/1.4736207.
The purpose of this study was to present a novel method for real- time tumor tracking using a commercially available robotic treatment couch, and to evaluate tumor tracking accuracy.
Commercially available robotic couches are capable of positioning patients with high level of accuracy; however, currently there is no provision for compensating tumor motion using these systems. Elekta's existing commercial couch (PreciseTM Table) was used without changing its design. To establish the real-time couch motion for tracking, a novel control system was developed and implemented. The tabletop could be moved in horizontal plane (laterally and longitudinally) using two Maxon-24V motors with gearbox combination. Vertical motion was obtained using robust 70V-Rockwell Automation motor. For vertical motor position sensing, we used Model 755A-Accu- Coder encoder. Two Baumer-ITD_01_4mm shaft encoders were used for the lateral and longitudinal motions of the couch. Motors were connected to the Advance Motion Controls (AMC) amplifiers: for the vertical motion, motor AMC-20A20-INV amplifier was used, and two AMC-Z6A8 amplifiers were applied for the lateral and longitudinal couch motions. The Galil DMC-4133 controller was connected to standard PC computer using USB port. The system had two independent power supplies: Galil PSR-12- 24-12A, 24vdc power supply with diodes for controller and 24vdc motors and amplifiers, and Galil-PS300W72 72vdc power supply for vertical motion. Control algorithms were developed for position and velocity adjustment.
The system was tested for real-time tracking in the range of 50mm in all 3 directions (superior-inferior, lateral, anterior- posterior). Accuracies were 0.15, 0.20, and 0.18mm, respectively. Repeatability of the desired motion was within ± 0.2mm.
Experimental results of couch tracking show feasibility of real-time tumor tracking with high level of accuracy (within sub-millimeter range). This tracking technique potentially offers a simple and effective method to minimize healthy tissues irradiation.Acknowledgement: Study supported by Elekta,Ltd. Study supported by Elekta, Ltd.
本研究旨在提出一种利用商用机器人治疗床进行实时肿瘤跟踪的新方法,并评估肿瘤跟踪的准确性。
商用机器人治疗床能够高精度地定位患者;然而,目前这些系统尚无补偿肿瘤运动的功能。使用了Elekta现有的商用治疗床(PreciseTM Table),其设计未作更改。为建立用于跟踪的实时治疗床运动,开发并实施了一种新型控制系统。治疗床台面可通过两个带齿轮箱组合的Maxon - 24V电机在水平面(横向和纵向)移动。垂直运动通过坚固的70V - Rockwell Automation电机实现。对于垂直电机位置传感,我们使用了755A - Accu - Coder型号的编码器。两个Baumer - ITD_01_4mm轴编码器用于治疗床的横向和纵向运动。电机连接到Advance Motion Controls(AMC)放大器:对于垂直运动,使用电机AMC - 20A20 - INV放大器,两个AMC - Z6A8放大器用于治疗床的横向和纵向运动。Galil DMC - 4133控制器通过USB端口连接到标准PC计算机。该系统有两个独立电源:Galil PSR - 12 - 24 - 12A,24vdc电源,带有用于控制器、24vdc电机和放大器的二极管,以及用于垂直运动的Galil - PS300W72 72vdc电源。开发了用于位置和速度调整的控制算法。
该系统在所有三个方向(上下、横向、前后)50mm范围内进行了实时跟踪测试。精度分别为0.15、0.20和0.18mm。所需运动的重复性在±0.2mm以内。
治疗床跟踪的实验结果表明,实时肿瘤跟踪具有高精度(在亚毫米范围内)的可行性。这种跟踪技术可能提供一种简单有效的方法,以尽量减少对健康组织的照射。致谢:本研究由Elekta有限公司资助。本研究由Elekta有限公司资助。