Suppr超能文献

基于超声图像和力反馈的超声扫描机器人(NCCUSR)控制算法的开发。

Development of a control algorithm for the ultrasound scanning robot (NCCUSR) using ultrasound image and force feedback.

作者信息

Kim Yeoun Jae, Seo Jong Hyun, Kim Hong Rae, Kim Kwang Gi

机构信息

Biomedical Engineering Branch, National Cancer Center.

出版信息

Int J Med Robot. 2017 Jun;13(2). doi: 10.1002/rcs.1756. Epub 2016 Jun 8.

Abstract

BACKGROUND

Clinicians who frequently perform ultrasound scanning procedures often suffer from musculoskeletal disorders, arthritis, and myalgias. To minimize their occurrence and to assist clinicians, ultrasound scanning robots have been developed worldwide. Although, to date, there is still no commercially available ultrasound scanning robot, many control methods have been suggested and researched. These control algorithms are either image based or force based. If the ultrasound scanning robot control algorithm was a combination of the two algorithms, it could benefit from the advantage of each one. However, there are no existing control methods for ultrasound scanning robots that combine force control and image analysis. Therefore, in this work, a control algorithm is developed for an ultrasound scanning robot using force feedback and ultrasound image analysis.

METHODS

A manipulator-type ultrasound scanning robot named 'NCCUSR' is developed and a control algorithm for this robot is suggested and verified. First, conventional hybrid position-force control is implemented for the robot and the hybrid position-force control algorithm is combined with ultrasound image analysis to fully control the robot. The control method is verified using a thyroid phantom.

RESULTS

It was found that the proposed algorithm can be applied to control the ultrasound scanning robot and experimental outcomes suggest that the images acquired using the proposed control method can yield a rating score that is equivalent to images acquired directly by the clinicians.

CONCLUSIONS

The proposed control method can be applied to control the ultrasound scanning robot. However, more work must be completed to verify the proposed control method in order to become clinically feasible. Copyright © 2016 John Wiley & Sons, Ltd.

摘要

背景

经常进行超声扫描操作的临床医生常患有肌肉骨骼疾病、关节炎和肌痛。为了尽量减少这些疾病的发生并帮助临床医生,世界各地都在研发超声扫描机器人。尽管到目前为止,仍没有商业化的超声扫描机器人,但已经提出并研究了许多控制方法。这些控制算法要么基于图像,要么基于力。如果超声扫描机器人控制算法是这两种算法的结合,那么它可以从每种算法的优点中受益。然而,目前还没有将力控制和图像分析相结合的超声扫描机器人控制方法。因此,在这项工作中,开发了一种使用力反馈和超声图像分析的超声扫描机器人控制算法。

方法

开发了一种名为“NCCUSR”的机械手式超声扫描机器人,并提出并验证了该机器人的控制算法。首先,对机器人实施传统的混合位置-力控制,并将混合位置-力控制算法与超声图像分析相结合,以全面控制机器人。使用甲状腺模型对该控制方法进行了验证。

结果

发现所提出的算法可应用于控制超声扫描机器人,实验结果表明,使用所提出的控制方法获取的图像可以获得与临床医生直接获取的图像相当的评分。

结论

所提出的控制方法可应用于控制超声扫描机器人。然而,为了使其在临床上可行,还必须完成更多工作来验证所提出的控制方法。版权所有©2016约翰威立父子有限公司。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验