Chen Jian, Wang Shuai, Zhao Qingxiang, Huang Wei, Chen Mingcong, Hu Jian, Wang Yihe, Liu Hongbin
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Micromachines (Basel). 2024 Feb 15;15(2):276. doi: 10.3390/mi15020276.
Quickly and accurately completing endoscopic submucosal dissection (ESD) operations within narrow lumens is currently challenging because of the environment's high flexibility, invisible collision, and natural tissue motion. This paper proposes a novel stereo visual servoing control for a dual-segment robotic endoscope (DSRE) for ESD surgery. Departing from conventional monocular-based methods, our DSRE leverages stereoscopic imaging to rapidly extract precise depth data, enabling quicker controller convergence and enhanced surgical accuracy. The system's dual-segment configuration enables agile maneuverability around lesions, while its compliant structure ensures adaptability within the surgical environment. The implemented stereo visual servo controller uses image features for real-time feedback and dynamically updates gain coefficients, facilitating rapid convergence to the target. In visual servoing experiments, the controller demonstrated strong performance across various tasks. Even when subjected to unknown external forces, the controller maintained robust performance in target tracking. The feasibility and effectiveness of the DSRE were further verified through ex vivo experiments. We posit that this novel system holds significant potential for clinical application in ESD surgeries.
由于狭窄腔体内环境的高灵活性、不可见碰撞以及组织的自然运动,在内镜黏膜下剥离术(ESD)操作中快速准确地完成手术目前具有挑战性。本文提出了一种用于ESD手术的双节段机器人内窥镜(DSRE)的新型立体视觉伺服控制方法。与传统的基于单目视觉的方法不同,我们的DSRE利用立体成像快速提取精确的深度数据,实现更快的控制器收敛并提高手术精度。该系统的双节段配置使其能够在病变周围灵活操作,而其柔顺结构确保了在手术环境中的适应性。所实现的立体视觉伺服控制器利用图像特征进行实时反馈,并动态更新增益系数,有助于快速收敛到目标。在视觉伺服实验中,该控制器在各种任务中都表现出强大的性能。即使受到未知外力作用,该控制器在目标跟踪中仍保持稳健性能。通过离体实验进一步验证了DSRE的可行性和有效性。我们认为,这种新型系统在ESD手术的临床应用中具有巨大潜力。