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Augmented Reality Assisted Instrument Insertion and Tool Manipulation for the First Assistant in Robotic Surgery

机译:机器人手术第一助手的增强现实辅助器械插入和工具操纵

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In robotic-assisted laparoscopic surgery, the first assistant (FA) stands at the bedside assisting the intervention, while the surgeon sits at the console teleoperating the robot. Tasks for the FA include navigating new instruments into the surgeon's field-of-view and passing in or retracting materials from the body using hand-held tools. We previously developed ARssist, an augmented reality application based on an optical see-through head-mounted display, to aid the FA. In this paper, we refine the system and first perform a pilot study with three experienced surgeons for two specific tasks: instrument insertion and tool manipulation. The results suggest that ARssist would be especially useful for less experienced assistants and for difficult hand-eye configurations. We then perform a multi-user study with inexperienced subjects. The results show that ARssist can reduce navigation time by 34.57%, enhance insertion path consistency by 41.74%, reduce root-mean-square path deviation by 40.04%, and reduce tool manipulation time by 72.25%. Thus, ARssist has the potential to improve efficiency, safety and hand-eye coordination, especially for novice assistants.
机译:在机器人辅助的腹腔镜手术中,第一助手(FA)站在床边协助进行干预,而外科医生坐在操纵机器人的控制台上。 FA的任务包括将新仪器导航到外科医生的视野中,并使用手持工具将材料从身体中传入或收回。我们之前曾开发过ARssist,这是一种基于光学透视头戴式显示器的增强现实应用程序,用于辅助FA。在本文中,我们对系统进行了优化,并首先与三名经验丰富的外科医生进行了一项初步研究,以完成两项特定任务:器械插入和工具操作。结果表明,ARssist对于经验不足的助手和困难的手眼配置特别有用。然后,我们对没有经验的受试者进行多用户研究。结果表明,ARssist可以减少34.57%的导航时间,提高插入路径的一致性41.74%,减少均方根路径偏差40.04%,并减少工具操作时间72.25%。因此,ARssist有潜力提高效率,安全性和手眼协调性,特别是对于新手助手。

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