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Towards synergistic control of hands-on needle insertion with automated needle steering for MRI-guided prostate interventions

机译:通过MRI指导的前列腺干预,实现自动针头转向的协同控制

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A significant hurdle of accurate needle tip placement in percutaneous needle-based prostate interventions is unmodeled needle deflection and tissue deformation during insertion. This paper introduces a robotic platform for developing synergistic, cooperatively controlled needle insertion algorithms decoupled from closed-loop image-guided needle steering. Shared control of the surgical workspace through human-robot synergy creates a balance between the accuracy of robotic autonomy while still providing ultimate control of the procedure to the physician. Validation tests were performed using camera-based image-guided feedback control of needle steering with cooperative hands-on needle insertion. Locations were targeted inside a transparent gelatin phantom with an average total error of 2.68 ± 0.34mm and in-plane error of 2.59 ± 0.30mm.
机译:在基于皮肤的基于针的前列腺干预中,准确针尖放置的一个重要障碍是插入过程中未建模的针头偏转和组织变形。本文介绍了一个机器人平台,用于开发与闭环图像引导的针头操纵分离的协同协作控制的针头插入算法。通过人机协同作用对手术区进行共享控制,可在自动控制的准确性之间保持平衡,同时仍可为医生提供手术的最终控制权。验证测试是使用基于摄像头的图像指导反馈控制的,同时配合动手操作的针头插入进行的。定位的目标是透明明胶体模内,平均总误差为2.68±0.34mm,平面内误差为2.59±0.30mm。

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