A novel multi-DoF surgical robotic system for brachytherapy on liver tumor: Design and control

被引:7
|
作者
Lin, Xiaofeng [1 ,2 ]
Zhou, Shoujun [1 ]
Wen, Tiexiang [1 ,3 ]
Jiang, Shenghao [1 ]
Wang, Cheng [1 ]
Chen, Jingtao [1 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, 1068 Xueyuan Ave, Shenzhen 518055, GD, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Natl Innovat Ctr Adv Med Devices, Shenzhen 518110, GD, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Robotics; Brachytherapy; Artificial potential field; Motion planning; PHANTOM;
D O I
10.1007/s11548-021-02380-7
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Purpose Radioactive seed implantation is an effective invasive treatment method for malignant liver tumors in hepatocellular carcinomas. However, challenges of the manual procedure may degrade the efficacy of the technique, such as the high accuracy requirement and radiation exposure to the surgeons. This paper aims to develop a robotic system and its control methods for assisting surgeons on the treatment. Method We present an interventional robotic system, which consists of a 5 Degree-of-Freedom (DoF) positioning robotic arm (a 3-DoF translational joint and a 2-DoF revolute joint) and a needle actuator used for needle insertion and radioactive seeds implantation. Control strategy is designed for the system to ensure the safety of the motion. In the designed framework, an artificial potential field (APF)-based motion planning and an ultrasound (US) image-based contacting methods are proposed for the control. Result Experiments were performed to evaluate position and orientation accuracy as well as validate the motion planning procedure of the system. The mean and standard deviation of targeting error is 0.69 mm and 0.33 mm, respectively. Needle placement accuracy is 1.10 mm by mean. The feasibility of the control strategy, including path planning and the contacting methods, is demonstrated by simulation and experiments based on an abdominal phantom. Conclusion This paper presents a robotic system with force and US image feedback in assisting surgeons performing brachytherapy on liver tumors. The proposed robotic system is capable of executing an accurate needle insertion task with by optical tracking. The proposed methods improve the safety of the robot's motion and automate the process of US probe contacting under the feedback of US-image.
引用
收藏
页码:1003 / 1014
页数:12
相关论文
共 50 条
  • [21] Design and Analysis of a Novel Multi-DOF PM Spherical Motor
    Chai, Feng
    Gan, Lei
    Pei, Yulong
    Yuan, Lin
    [J]. 2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 4442 - 4447
  • [22] Design and control of a multi-DOF micromanipulator dedicated to multiscale micromanipulation
    Yang, Yi-Ling
    Wei, Yan-Ding
    Lou, Jun-Qiang
    Fu, Lei
    Fang, Sheng
    [J]. SMART MATERIALS AND STRUCTURES, 2017, 26 (11)
  • [23] Robust design of Passive Assist Devices for multi-DOF robotic manipulator arms
    Brown, W. Robert
    Ulsoy, A. Galip
    [J]. ROBOTICA, 2017, 35 (11) : 2238 - 2255
  • [24] An H-infinity nonlinear control approach for multi-DOF robotic manipulators
    Rigatos, Gerasimos
    Siano, Pierluigi
    Raffo, Guilherme
    [J]. IFAC PAPERSONLINE, 2016, 49 (12): : 1406 - 1411
  • [25] CPG based Self-adapting Multi-DOF Robotic Arm Control
    Yang, Woosung
    Bae, Ji-Hun
    Oh, Yonghwan
    Chong, Nak Young
    You, Bum-Jae
    Oh, Sang-Rok
    [J]. IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 4236 - 4243
  • [26] Flexible control mechanism for multi-DOF robotic arm based on biological fluctuation
    Fukuyori, Ippei
    Nakamura, Yutaka
    Matsumoto, Yoshio
    Ishiguro, Hiroshi
    [J]. FROM ANIMALS TO ANIMATS 10, PROCEEDINGS, 2008, 5040 : 22 - 31
  • [27] A nonlinear H-infinity control method for multi-DOF robotic manipulators
    G. Rigatos
    P. Siano
    G. Raffo
    [J]. Nonlinear Dynamics, 2017, 88 : 329 - 348
  • [28] A nonlinear H-infinity control method for multi-DOF robotic manipulators
    Rigatos, G.
    Siano, P.
    Raffo, G.
    [J]. NONLINEAR DYNAMICS, 2017, 88 (01) : 329 - 348
  • [29] Design of Multi-DOF jumping robot
    Arikawa, K
    Mita, T
    [J]. 2002 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2002, : 3992 - 3997
  • [30] Development of a multi-DoF transhumeral robotic arm prosthesis
    Bandara, D. S. V.
    Gopura, R. A. R. C.
    Hemapala, K. T. M. U.
    Kiguchi, Kazuo
    [J]. MEDICAL ENGINEERING & PHYSICS, 2017, 48 : 131 - 141