Suppr超能文献

基于双平面 X 射线成像系统的外部电磁驱动实时微机器人位姿识别

Real-time microrobot posture recognition via biplane X-ray imaging system for external electromagnetic actuation.

机构信息

School of Mechanical Engineering, Chonnam National University, Gwangju, 61186, South Korea.

Medical Microrobot Center, Robot Research Initiative, Chonnam National University, Gwangju, 61186, South Korea.

出版信息

Int J Comput Assist Radiol Surg. 2018 Nov;13(11):1843-1852. doi: 10.1007/s11548-018-1846-z. Epub 2018 Aug 20.

Abstract

PURPOSE

As a promising intravascular therapeutic approach for autonomous catheterization, especially for thrombosis treatment, a microrobot or robotic catheter driven by an external electromagnetic actuation system has been recently investigated. However, the three-dimensional (3D) real-time position and orientation tracking of the microrobot remains a challenge for precise feedback control in clinical applications owing to the micro-size of the microrobot geometry in vessels, along with bifurcation and vulnerability. Therefore, in this paper, we propose a 3D posture recognition method for the unmanned microrobotic surgery driven by an external electromagnetic actuator system.

METHODS

We propose a real-time position and spatial orientation tracking method for a millimeter-sized intravascular object or microrobot using a principal component analysis algorithm and an X-ray reconstruction. The suggested algorithm was implemented to an actual controllable wireless microrobot system composed of a bullet-shaped object, a biplane X-ray imaging device, and an electromagnetic actuation system. Numerical computations and experiments were conducted for the performance verification.

RESULTS

The experimental results showed a good performance of the implemented system with tracking errors less than 0.4 mm in position and 2° in orientation. The proposed tracking technique accomplished a fast processing time, ~ 0.125 ms/frame, and high-precision recognition of the micro-sized object.

CONCLUSIONS

Since the suggested method does not require pre-information of the object geometry in the human body for its 3D shape and position recognition, it could be applied to various elliptical shapes of the microrobot system with computation time efficacy and recognition accuracy. Hence, the method can be used for therapeutic millimeter- or micron-sized manipulator recognition in vascular, as well as implanted objects in the human body.

摘要

目的

作为一种有前途的自主导管介入治疗方法,特别是用于血栓治疗,最近研究了一种由外部电磁激励系统驱动的微机器人或机器人导管。然而,由于微机器人在血管中的几何形状微小,以及分叉和脆弱性,微机器人的三维(3D)实时位置和姿态跟踪仍然是临床应用中精确反馈控制的挑战。因此,在本文中,我们提出了一种用于外部电磁激励系统驱动的无人微机器人手术的 3D 姿态识别方法。

方法

我们提出了一种使用主成分分析算法和 X 射线重建的毫米级血管内物体或微机器人的实时位置和空间姿态跟踪方法。所提出的算法已应用于由子弹形物体、双平面 X 射线成像设备和电磁激励系统组成的实际可控无线微机器人系统。进行了数值计算和实验以验证性能。

结果

实验结果表明,所实现的系统具有良好的性能,位置跟踪误差小于 0.4mm,方向跟踪误差小于 2°。所提出的跟踪技术实现了快速的处理时间,约为 0.125ms/帧,并且能够高精度识别微尺寸物体。

结论

由于所提出的方法不需要人体内部物体的三维形状和位置的先验信息,因此它可以应用于各种具有计算时间效率和识别精度的微机器人系统的椭圆形形状。因此,该方法可用于血管内治疗毫米或微米级操纵器的识别,以及人体植入物的识别。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验