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Robot-assisted endoscopic exploration of the spinal cord

机译:机器人辅助的脊髓内窥镜检查

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摘要

This work presents the design and development of an integrated image-guided robot-assisted endoscopic system for the safe navigation within the spinal subarachnoid space, providing the surgeon with the direct vision of the structures (i.e. spinal cord, roots, vessels) and the possibility of performing some particularly useful operations, like local electrostimulation of nerve roots. The modelling, micro-fabrication, fluidic sustentation, and cable-based actuation system of a steerable tip for a multilumen flexible catheter is described; the hierarchical control system shared between the surgeon and the computer, and based on machine vision techniques and a simple but effective three-dimensional reconstruction is detailed. The Blind Expected Perception sensory-motor scheme is proposed in robot-assited endoscopy. Results from in vitro, ex vivo, and in vivo experiments show that the described model can accurately predict the shape of the catheter given the tension distribution on the cables, that the proposed actuation system can assure smooth and precise control of the catheter tip, that the fluidic sustentation of the catheter is essential in in vivo navigation, and that the proposed rear view mirror interface to show non-visible obstacles is appropriate; in conclusion, the results proved the validity of the proposed solution to develop an intrinsically safe robotic system for navigation and intervention in a narrow and challenging environment such as the spinal subarachnoid space.
机译:这项工作提出了一种集成的图像引导机器人辅助内窥镜系统的设计和开发,该系统可在蛛网膜下腔内安全导航,从而为外科医生提供结构(即脊髓,根,血管)的直接视野以及可能性进行一些特别有用的操作,例如对神经根进行局部电刺激。描述了用于多腔柔性导管的可操纵尖端的建模,微制造,流体支撑和基于电缆的致动系统。详细介绍了基于计算机视觉技术和简单而有效的三维重构的,由外科医生与计算机共享的分层控制系统。在机器人辅助内窥镜检查中提出了盲预期感知感觉运动方案。体外,离体和体内实验的结果表明,考虑到电缆上的张力分布,所描述的模型可以准确地预测导管的形状,所提出的驱动系统可以确保对导管尖端的平滑和精确控制,导管的流体支撑在体内导航中至关重要,建议的后视镜界面可以显示不可见的障碍物是合适的;总之,结果证明了所提出的解决方案在狭窄且具有挑战性的环境(例如,蛛网膜下腔)中开发用于导航和干预的本质安全机器人系统的有效性。

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