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Kinematics and cooperative control of a robotic spinal surgery system

Published online by Cambridge University Press:  18 June 2014

Haiyang Jin
Affiliation:
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China
Ying Hu
Affiliation:
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of sciences, Shenzhen, China The Chinese University of Hong Kong, Hong Kong, China
Wei Tian*
Affiliation:
Department of Spine Surgery, Beijing Jishuitan Hospital, Tsinghua University, Beijing, China
Peng Zhang
Affiliation:
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of sciences, Shenzhen, China The Chinese University of Hong Kong, Hong Kong, China
Zhangjun Song
Affiliation:
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of sciences, Shenzhen, China The Chinese University of Hong Kong, Hong Kong, China
Jianwei Zhang
Affiliation:
Department of Informatics, University of Hamburg, Hamburg, Germany
Bing Li*
Affiliation:
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China
*
*Corresponding author. E-mail: [email protected], [email protected]
*Corresponding author. E-mail: [email protected], [email protected]

Summary

Spinal surgery is considered a high-risk surgery. To improve the accuracy, stability, and safety of such operations, we report the development of a novel six-degrees-of-freedom Robotic Spinal Surgical System that can assist surgeons in performing transpedicular surgery, one of the most common spinal surgeries. After optimization performed using Response Surface Methodology, the largest available workspace of the robot is determined and is found to easily cover the entire operation area. Cooperative control and navigation-based active control are implemented for different processes of the operation. We propose a hybrid control approach based on the speed and torque interface at the joint level. In this mode, the robot is compliant in Cartesian space, benefitting both the accuracy and efficiency of the operation. A comprehensive assessment index, combining the subjective and objective criteria in terms of positioning and operation efficiency, is proposed to compare the performance of cooperative control in speed mode, torque mode, and hybrid control mode. Active fine adjustment experiments are carried out to verify the positioning accuracy, and the results are found to satisfy the requirements of operation. As an application example, a pedicle screw insertion experiment is performed on a pig vertebral bone, demonstrating the effectiveness of our system.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

1.Kumar, N., Kukreti, S., Ishaque, M. and Mulholland, R., “Anatomy of deer spine and its comparison to the human spine,” Anatomical Rec. 260 (2), 189203 (2000).3.0.CO;2-N>CrossRefGoogle Scholar
2.Li, Q. and Tian, W., “Spine Surgery,” In: Practice of Orthopaedics (Tian, W., ed.) (People's Medical Publishing House, Beijing, 2008) pp. 550560.Google Scholar
3.Lieberman, I. H., Togawa, D., Kayanja, M. M., Reinhardt, M. K., Friedlander, A., Knoller, N. and Benzel, E. C., “Bone-mounted miniature robotic guidance for pedicle screw and translaminar facet screw placement: Part I—;Technical development and a test case result,” Neurosugery 59 (3), 641650 (2006).CrossRefGoogle Scholar
4.Togawa, D., Kayanja, M. M., Reinhardt, M. K., Shoham, M., Balter, A., Friedlander, A., Knoller, N., Benzel, E. C. and Lieberman, I. H., “Bone-mounted miniature robotic guidance for pedicle screw and translaminar facet screw placement: Part II—;Evaluation of system accuracy,” Neurosurgery 60 (1), 129139 (2006).Google Scholar
5.Kantelhardt, S. R., Martinez, R., Baerwinkel, S., Burger, R., Giese, A. and Rohde, V., “Perioperative course and accuracy of screw positioning in conventional, open robotic-guided and percutaneous robotic-guided, pedicle screw placement,” Eur. Spine J. 20 (6), 860868 (2011).CrossRefGoogle ScholarPubMed
6.Stuer, C., Ringel, F., Stoffel, M., Reinke, A., Behr, M. and Meyer, B., “Robotic technology in spine surgery: Current applications and future developments,” Acta Neurochirurgica Suppl. 109, 241245 (2011).CrossRefGoogle ScholarPubMed
7.Tian, H., Wu, D., Du, Z. and Sun, L., “Design and Analysis of a 6-DOF Parallel Robot Used in Artificial Cervical Disc Replacement Surgery,” Proceedings of the 2010 IEEE International Conference on Information and Automation, Harbin, China (Jun. 20–23, 2010) pp. 3035.CrossRefGoogle Scholar
8.Niesing, B., Robots for Spine Surgery (Fraunhofer Magazine, Munich, Germany, 2001) pp. 4647.Google Scholar
9.Kostrzewski, S., Duff, J. M., Baur, C. and Olszewski, M., “Robotic system for cervical spine surgery,” Int. J. Med. Robot. Comput. Assist. Surg. 8, 184190 (2012).CrossRefGoogle ScholarPubMed
10.Santos-Munné, J. J., Peshkin, M. A., Mirkovic, S., Stulberg, S. D. and Kienzle, T. C., “A Stereotactic/Robotic System for Pedicle Screw Placement,” Proceedings of the 3rd Medicine Meets Virtual Reality Conference, San Diego, USA (1995) pp. 326333.Google Scholar
11.Zagorchev, L. and Goshtasby, A., Surgical Robot Assistant (Intelligent System Laboratory, Wright State University, Ohio). Available at: http://www.cs.wright.edu/agoshtas/spine.html.Google Scholar
12.Melo, J., Sanchez, E. and Diaz, I., “Adaptive Admittance Control to Generate Real-Time Assistive Fixtures for a COBOT in Transpedicular Fixation Surgery,” Proceedings of the 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, Rome, Italy (Jun. 24–27, 2012) pp. 11701175.Google Scholar
13.Ortmaier, T., Weiss, H., Dobele, S. and Schreiber, U., “Experiments on robot-assisted navigated drilling and milling of bones for pedicle screw placement international,” J. Med. Robot. Comput. Assist. Surg. 2 (4), 350363 (2006).CrossRefGoogle Scholar
14.Ortmaier, T., Weiss, H., Hagn, U., Grebenstein, M., Nickl, M., Albu-Schaffer, A., Ott, C., Jorg, S., Konietschke, R., Le-Tien, L. and Hirzinger, G., “A Hands-on-Robot for Accurate Placement of Pedicle Screws,” Proceedings of the 2006 IEEE International Conference on Robotics and Automation, Orlando, USA (May 15–19, 2006), pp. 41794186.Google Scholar
15.Ju, H., Zhang, J., An, G., Pei, X. and Xing, G., “A Robot-Assisted System for Minimally Invasive Spine Surgery of Percutaneous Vertebroplasty Based on CT Images,” Proceedings of the 2008 IEEE International Conference on Robotics, Automation and Mechatronics, Pasadena, USA (Sep. 21–24, 2008) pp. 290295.CrossRefGoogle Scholar
16.Chung, G. B., Kim, S., Lee, S. G., Yi, B.-J., Kim, W., Oh, S. M., Kim, Y. S., So, B. R., Park, J. I. and Oh, S. H., “An image-guided robotic surgery system for spinal fusion,” Int. J. Control Autom. Syst. 4 (1), 3041 (2006).Google Scholar
17.Chung, G. B., Lee, S. G., Oh, S. M., Yi, B. J., Kim, W. K., Kim, Y. S., Park, J. I. and Oh, S. H., “Development of SPINEBOT for Spine Surgery,” Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan (Sep. 28–Oct. 2, 2004) pp. 39423947.Google Scholar
18.Lee, J., Hwang, I., Kim, K., Choi, S., Chung, W. K. and Kim, Y. S., “Cooperative robotic assistant with drill-by-wire end-effector for spinal fusion surgery,” Ind. Robot 36 (1), 6072 (2009).CrossRefGoogle Scholar
19.Lee, J., Kim, K., Chung, W. K., Choi, S. and Kim, Y. S., “Human-Guided Surgical Robot System for Spinal Fusion Surgery: CoRASS,” Proceedings of the 2008 IEEE International Conference on Robotics and Automation, Pasadena, USA (May 19–23, 2008) pp. 38813887.Google Scholar
20.Kim, S., Chung, J., Yi, B. J. and Kim, Y. S., “An assistive image-guided surgical robot system using O-arm fluoroscopy for pedicle screw insertion: Preliminary and cadaveric study,” Neurosurgery 67 (6), 17571767 (2010).CrossRefGoogle ScholarPubMed
21.Sun, L. W. and Yeung, C. K., “Port Placement and Pose Selection of the da Vinci Surgical System for Collision-Free Intervention Based on Performance Optimization,” Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, California (Oct. 29–Nov. 2, 2007) pp. 19511956.Google Scholar
22.Padoy, N. and Hager, G. D., “Human-Machine Collaborative Surgery Using Learned Models,” Proceedings of the 2011 IEEE International Conference on Robotics and Automation, Shanghai, China (May 9–13, 2011) pp. 52855292.CrossRefGoogle Scholar
23.Kazanzides, P., Zuhars, J., Mittelstadt, B. and Taylor, R. H., “Force Sensing and Control for a Surgical Robot,” Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, France (May 12–14, 1992) pp. 612617.CrossRefGoogle Scholar
24.Albu-Schaffer, A. and Hirzinger, G., “Cartesian Impedance Control Techniques for Torque Controlled Light-Weight Robots,” Proceedings of the 2002 IEEE International Conference on Robotics and Automation, Washington, USA (May 11–15, 2002) pp. 657663.Google Scholar
25.Hirzinger, G., Sporer, N., Albu-Schaffer, A., Hahnle, M., Krenn, R., Pascucci, A. and Schedl, M., “DLR's Torque-Controlled Light Weight Robot III – Are We Reaching the Technological Limits Now?,” Proceedings of the 2002 IEEE International Conference on Robotics and Automation, Washington, USA (May 11–15, 2002) pp. 17101716.Google Scholar
26.Albu-Schaffer, A. and Hirzinger, G., “A globally stable state feedback controller for flexible joint robots,” Adv. Robot. 15 (8), 799814 (2001).CrossRefGoogle Scholar
27.Zdeblick, T. A., “Spinal Instrumentation,” In: Orthopaedic Knowledge Update: Spine (Garfin, S. R. and Vaccaro, A. R., eds.) (American Academy of Orthopaedic Surgeons, California, 1997) pp. 4546.Google Scholar