床边智能手术机器人握镜系统的自动跟踪视觉模块

IF 2.3 3区 医学 Q2 SURGERY
Tingting Wang, Mingyu Yin, Shunkai Shi, Zerun Yang
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引用次数: 0

摘要

本研究旨在开发床边智能手术机器人持镜臂主动跟随技术,实现对手术器械的实时自动跟踪。方法对语义分割网络进行自适应增强,以手术钳为目标,结合手术过程中常见的场景,收集新的数据集。此外,还确定了夹具的位置,设定了机械臂的运动范围和运动方式。基于上述前提,利用内镜手术仿真平台设计并验证了控制率。结果协同臂到达视场中心的平均时间为2.51 s,方差为0.32。结论本研究结果验证了机械臂代替人工持镜的有效性,具有提高内镜手术效率的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision Module for Automatic Tracking on Bedside Intelligent Scope-Holding Surgical Robot System

Background

This study aims to develop an active following technology of the mirror-holding arm of a bedside intelligent surgical robot that enables real-time automatic tracking of surgical instruments.

Methods

The semantic segmentation network was adaptively enhanced, and new datasets were collected with surgical clamps as the target, incorporating scenarios commonly encountered during surgical procedures. In addition, the position of the clamp was determined, and the range and mode of motion of the robot arm were set. Based on the above premise, the control rate was designed and verified using an endoscopic surgery simulation platform.

Results

The average time for the collaborative arm to reach the centre of the field of view was 2.51 s, with a variance of 0.32.

Conclusions

The results of this study validate the effectiveness of replacing manual endoscope holding with a robotic arm, which has great potential to facilitate more efficient endoscopic surgical procedures.

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来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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