基于三维视觉引导的协作机器人作为神经内镜导引器手术持镜助手的可行性研究

Feasibility study of 3D vision-guided collaborative robot as endoscope holder in neuroendoscopic port surgery

  • 摘要: 背景 神经内镜导引器手术是高血压脑出血内镜手术治疗的主流方式,应用范围逐渐扩大。该术式要求助手提供精准、稳定的内镜把持与角度控制,而传统人手持镜需较长的操作训练周期;因此,亟需研发操作简便、响应迅速且成本可控的新型自动持镜系统。目的 评估基于三维视觉引导的协作机器人在体外导引器模型中辅助内镜重定位的可行性与成像性能。方法 将0°训练用神经内镜安装于6 自由度机械臂上,该机械臂配备三维视觉相机,用于识别内镜导引器鞘上的标志物并生成实时重定位轨迹。测试1:连续进行30 次内镜重定位循环,量化工作流程成功率、识别时间和运动时间。测试2:机器人重复上述工作流程30 个循环,并在预定的工作距离处采集内镜图像。测试3:由本单位经验丰富的神经内镜术者在相同的导引器和内镜设置下手动完成相同的工作流程。由不知情的专家对测试2 和测试3 中的图像按清晰度、准确度和稳定性进行5 分制利克特量表评分。结果 在机器人完成内镜重定位流程的可行性测试中,机器人完成了全部30 个循环,无碰撞发生(成功率100%),平均识别时间为(2.37±0.05) s,平均运动时间为(2.98±0.35) s。在图像质量评分方面(评分以中位数和四分位距表示),机器人组在清晰度5.00(5.00 ~ 5.00) vs 4.00(3.00 ~ 4.00)、准确度5.00(4.00 ~ 5.00) vs 3.00(3.00 ~ 4.00)和稳定性4.00(4.00 ~ 5.00) vs 3.00(3.00 ~ 4.00)三个维度的评分中位数均显著高于人工组(P均<0.001)。结论 体外条件下,基于三维视觉引导的协作机器人实现了稳定、可重复的内镜重定位,且较人工持镜具有更优的图像质量,为其进一步临床转化提供了初步依据。

     

    Abstract: Background Neuroendoscopic port surgery is the mainstream approach for endoscopic treatment of hypertensive intracerebral hemorrhage, and its application is gradually expanding. Precise, stable scope manipulation by an assistant is critical but challenging due to the steep learning curve of manual holding. Hence, a novel automated holding system featuring ease of use, rapid response, and cost efficiency is urgently warranted. Objective To assess the feasibility and imaging performance of a 3D vision - guided collaborative robot (CoBot) serving as a neuroendoscope holder assisting endoscope reposition in an in vitro port model. Methods A 0° training neuroendoscope was mounted on a 6-degree-of-freedom robotic arm equipped with a 3D vision camera to recognize a marker on the endoscopic port sheath and generate a real-time repositioning trajectory. In Test 1, 30 consecutive repositioning cycles were performed to quantify workflow success rate, recognition time, and motion time. In Test 2, the robot repeated the workflow for 30 cycles and captured endoscopic images at a preset working distance. In Test 3, experienced neuroendoscopic surgeons from our hospital manually executed the same workflow under identical port and endoscope settings. Blinded experts rated the images from Tests 2 and 3 on a 5-point Likert scale for clarity, accuracy, and stability. Results In the feasibility test, the robot completed all 30 cycles without collision (100% success rate), with a mean recognition time of (2.37±0.05) s and a mean motion time of (2.98±0.35) s. For image quality scores (presented as median and interquartile range), the robotic group demonstrated significantly higher median scores than the manual group across all three dimensions: clarity (5.00 5.00 - 5.00 vs 4.00 3.00 - 4.00), accuracy (5.00 4.00 - 5.00 vs 3.00 3.00 - 4.00), and stability (4.00 4.00 - 5.00 vs 3.00 3.00 - 4.00) (all P<0.001). Conclusion Under in vitro conditions, our CoBot system achieves stable and reproducible endoscopic repositioning with superior image quality compared to manual holding, providing preliminary evidence for further clinical translation.

     

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