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Autonomous Robotic Intracardiac Catheter Navigation Using Haptic Vision

机译:使用触觉视觉的自主机器人心内导管导航

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摘要

While all minimally invasive procedures involve navigating from a small incision in the skin to the site of the intervention, it has not been previously demonstrated how this can be done autonomously. To show that autonomous navigation is possible, we investigated it in the hardest place to do it – inside the beating heart. We created a robotic catheter that can navigate through the blood-filled heart using wall-following algorithms inspired by positively thigmotactic animals. The catheter employs haptic vision, a hybrid sense using imaging for both touch-based surface identification and force sensing, to accomplish wall following inside the blood-filled heart. Through in vivo animal experiments, we demonstrate that the performance of an autonomously-controlled robotic catheter rivals that of an experienced clinician. Autonomous navigation is a fundamental capability on which more sophisticated levels of autonomy can be built, e.g., to perform a procedure. Similar to the role of automation in fighter aircraft, such capabilities can free the clinician to focus on the most critical aspects of the procedure while providing precise and repeatable tool motions independent of operator experience and fatigue.
机译:尽管所有微创手术都涉及从皮肤上的小切口导航到介入部位,但以前尚未证明如何自动进行。为了表明自主导航是可行的,我们在最困难的地方-跳动的心脏内进行了研究。我们创建了一个机器人导管,该机器人导管可以使用受到积极拟态动物启发的壁面跟踪算法在充满血液的心脏中导航。导管采用触觉视觉,即使用成像技术进行基于触摸的表面识别和力感测的混合感测,以完成充血心脏内部的壁跟踪。通过体内动物实验,我们证明了自主控制的机器人导管的性能可与经验丰富的临床医生相媲美。自主导航是一项基本功能,可在此基础上建立更复杂的自主级别,例如执行一个程序。与自动化在战斗机中的作用相似,这种功能可以使临床医生解放出来,专注于程序的最关键方面,同时提供独立于操作人员的经验和疲劳的精确且可重复的工具运动。

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