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通过实时六自由度机器人运动补偿实现无框架无面罩立体定向放射治疗

Towards frameless maskless SRS through real-time 6DoF robotic motion compensation.

作者信息

Belcher Andrew H, Liu Xinmin, Chmura Steven, Yenice Kamil, Wiersma Rodney D

机构信息

Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637-1470, United States of America.

出版信息

Phys Med Biol. 2017 Nov 13;62(23):9054-9066. doi: 10.1088/1361-6560/aa93d2.

Abstract

Stereotactic radiosurgery (SRS) uses precise dose placement to treat conditions of the CNS. Frame-based SRS uses a metal head ring fixed to the patient's skull to provide high treatment accuracy, but patient comfort and clinical workflow may suffer. Frameless SRS, while potentially more convenient, may increase uncertainty of treatment accuracy and be physiologically confining to some patients. By incorporating highly precise robotics and advanced software algorithms into frameless treatments, we present a novel frameless and maskless SRS system where a robot provides real-time 6DoF head motion stabilization allowing positional accuracies to match or exceed those of traditional frame-based SRS. A 6DoF parallel kinematics robot was developed and integrated with a real-time infrared camera in a closed loop configuration. A novel compensation algorithm was developed based on an iterative closest-path correction approach. The robotic SRS system was tested on six volunteers, whose motion was monitored and compensated for in real-time over 15 min simulated treatments. The system's effectiveness in maintaining the target's 6DoF position within preset thresholds was determined by comparing volunteer head motion with and without compensation. Comparing corrected and uncorrected motion, the 6DoF robotic system showed an overall improvement factor of 21 in terms of maintaining target position within 0.5 mm and 0.5 degree thresholds. Although the system's effectiveness varied among the volunteers examined, for all volunteers tested the target position remained within the preset tolerances 99.0% of the time when robotic stabilization was used, compared to 4.7% without robotic stabilization. The pre-clinical robotic SRS compensation system was found to be effective at responding to sub-millimeter and sub-degree cranial motions for all volunteers examined. The system's success with volunteers has demonstrated its capability for implementation with frameless and maskless SRS treatments, potentially able to achieve the same or better treatment accuracies compared to traditional frame-based approaches.

摘要

立体定向放射外科手术(SRS)利用精确的剂量定位来治疗中枢神经系统疾病。基于框架的SRS使用固定在患者颅骨上的金属头环以提供高治疗精度,但患者舒适度和临床工作流程可能会受到影响。无框架SRS虽然可能更方便,但可能会增加治疗精度的不确定性,并且对一些患者来说在生理上具有局限性。通过将高精度机器人技术和先进的软件算法融入无框架治疗中,我们提出了一种新型的无框架且无面罩的SRS系统,其中机器人提供实时六自由度(6DoF)头部运动稳定,使位置精度能够匹配或超过传统基于框架的SRS。开发了一种6DoF并联运动学机器人,并将其与实时红外相机以闭环配置集成。基于迭代最近路径校正方法开发了一种新型补偿算法。该机器人SRS系统在六名志愿者身上进行了测试,在15分钟的模拟治疗过程中对他们的运动进行实时监测和补偿。通过比较有补偿和无补偿情况下志愿者的头部运动,确定了该系统在将目标的6DoF位置保持在预设阈值内的有效性。比较校正和未校正的运动,6DoF机器人系统在将目标位置保持在0.5毫米和0.5度阈值内方面显示出总体改善因子为21。尽管在所检查的志愿者中系统的有效性有所不同,但对于所有测试的志愿者,使用机器人稳定时目标位置在99.0%的时间内保持在预设公差范围内,而不使用机器人稳定时为4.7%。发现临床前机器人SRS补偿系统对于所有检查的志愿者在响应亚毫米和亚度颅骨运动方面是有效的。该系统在志愿者身上的成功证明了其在无框架和无面罩SRS治疗中实施的能力,与传统基于框架的方法相比,有可能实现相同或更好的治疗精度。

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Image guidance in radiation therapy: techniques and applications.放射治疗中的图像引导:技术与应用
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