Stereoscopic augmented reality system for supervised training on minimal invasive surgery robots

Florin Octavian Matu, M. Thøgersen, Bo Galsgaard, Martin Jensen, M. Kraus
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引用次数: 21

Abstract

Training in the use of robot-assisted surgery systems is necessary before a surgeon is able to perform procedures using these systems because the setup is very different from manual procedures. In addition, surgery robots are highly expensive to both acquire and maintain --- thereby entailing the need for efficient training. When training with the robot, the communication between the trainer and the trainee is limited, since the trainee often cannot see the trainer. To overcome this issue, this paper proposes an Augmented Reality (AR) system where the trainer is controlling two virtual robotic arms. These arms are virtually superimposed on the video feed to the trainee, and can therefore be used to demonstrate and perform various tasks for the trainee. Furthermore, the trainer is presented with a 3D image through a stereoscopic display. Because of the added depth perception, this enables the trainer to better guide and help the trainee. A prototype has been developed using low-cost materials and the system has been evaluated by surgeons at Aalborg University Hospital. User feedback indicated that a 3D display for the trainer is very useful as it enables the trainer to better monitor the procedure, and thereby enhances the training experience. The virtual overlay was also found to work as a good and illustrative approach for enhanced communication. However, the delay of the prototype made it difficult to use for actual training.
用于微创手术机器人监督训练的立体增强现实系统
在外科医生能够使用机器人辅助手术系统进行手术之前,有必要进行使用机器人辅助手术系统的培训,因为机器人辅助手术的设置与人工手术非常不同。此外,手术机器人的购买和维护都非常昂贵,因此需要进行有效的培训。当与机器人一起训练时,训练员和受训者之间的交流是有限的,因为受训者经常看不到训练员。为了克服这一问题,本文提出了一种增强现实(AR)系统,其中训练器控制两个虚拟机械臂。这些手臂实际上是叠加在给受训者的视频馈送上的,因此可以用来为受训者演示和执行各种任务。此外,教练员通过立体显示器呈现3D图像。由于增加了深度感知,这使培训师能够更好地指导和帮助受训者。使用低成本材料开发了一个原型,奥尔堡大学医院的外科医生已经对该系统进行了评估。用户反馈表明,培训师的3D显示器非常有用,因为它使培训师能够更好地监控过程,从而提高培训体验。虚拟叠加也被认为是增强通信的一种很好的、说明性的方法。然而,原型机的延迟使得它难以用于实际训练。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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