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Accuracy study on a fluoroscopic image guided robotic system for removal of femoral bone cement in RTHR

机译:荧光图像引导机器人系统去除Rth中股骨骨水泥的准确性研究

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Introduction: During RTHR the removal of femoral bone cement can be a major problem, often leading to complications due to the additional time needed and possible damage of the remaining bone. In conventional RTHR position and orientation of the instruments like chisels are being observed using iterative multiplanar X-ray imaging resulting in a high radiation dose for the patient as well as for the OR staff. Within the MINARO project (Minimal Invasive Navigation and Robotics), funded by the German Research Foundation (DFG), we developed a new approach for computer assisted removal of the bone cement. A method for the intraoperative reconstruction of the bone cement has been developed and its validity been shown in previous work [1,2]. Beneath a hand-navigated milling device an active robotic device has been developed, whose intrinsic accuracy has already been proven to be sufficient for the task [3]. In this paper we report on our work regarding the overall system accuracy, including the intraoperative image acquisition, 3-D reconstruction of the cement body, milling path generation with collision detection, the navigated prepositioning and the mechanical components, consisting of the robot itself, the milling device and the bone fixation.
机译:介绍:在RTH期间,股骨水泥的去除可能是一个主要问题,通常导致并发症由于所需的额外时间和剩余骨骼的可能损坏。在常规的RTHR位置和仪器的定位,使用芯片X射线成像观察凿子,导致患者以及员工的高辐射剂量以及工作人员。在Minaro项目(最小侵入式导航和机器人)内,由德国研究基金会(DFG)资助,我们开发了一种新的计算机辅助去除骨水泥的方法。已经开发了一种术中重建骨水泥的方法,其有效性已在先前的工作中显示[1,2]。在手动导航的铣削装置下面已经开发了一个有源机器人设备,其内在精度已经证明是足以为任务[3]。在本文中,我们报告了我们对整体系统准确性的工作,包括术中的图像采集,水泥体的三维重建,铣削路径产生,铣削检测,导航的介质和机械部件,由机器人本身组成,铣削装置和骨固定。

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