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A haptic surface scanning and machining parallel manipulator for registration-free bone resurfacing during arthroplasty

机译:触觉表面扫描和机械加工并行操纵器,用于在关节置换术中进行无配准的骨置换

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As orthopaedic implants become more sophisticated and complex, shaping the bone surface to match the implant becomes increasingly important. Accurate bone machining contributes to success of the implant and can potentially increase the implant's endurance and lifetime. Bone-mounted robots can eliminate intra-operative tracking errors during bone machining. However, registration errors still exist when aligning the pre-operative plan with the patient's anatomy because the plan is based on pre-operative images. Thus, a robotic system that is capable of executing both surface acquisition and bone machining in a single procedure and within the same coordinate system is preferable to the current state of the art. In this study we used a mini bone-attached robotic system (MBARS) with a haptic interface, to examine the accuracy of force-controlled surface acquisition of a femur model. The average distance error between acquired points and the surface model was less than 1 mm, which was further reduced by 5% with a compensation method which included curvature estimation of the reconstructed surface. An initial evaluation of in-situ bone machining based on these force-controlled scans yielded promising results.
机译:随着骨科植入物变得越来越复杂和复杂,使骨表面成形以匹配植入物变得越来越重要。精确的骨加工有助于植入物的成功,并有可能增加植入物的耐久性和寿命。安装在骨骼上的机器人可以消除骨骼加工过程中的术中跟踪错误。但是,由于术前计划是基于术前图像的,因此在将术前计划与患者的解剖结构对齐时仍然存在配准错误。因此,能够在单个过程中并且在同一坐标系内执行表面获取和骨骼加工的机器人系统优于现有技术。在这项研究中,我们使用带有触觉界面的微型骨骼附着机器人系统(MBARS),来检查股骨模型受力控制的表面采集的准确性。所获取的点与曲面模型之间的平均距离误差小于1 mm,使用包括重建曲面曲率估计在内的补偿方法,该误差进一步降低了5%。基于这些受力控制的扫描对原位骨加工的初步评估产生了可喜的结果。

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