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Development of a new neurosurgical 5-DOF parallel robot for stereotactic DBS operations

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Abstract

In this study, a new 5-degree of freedom parallel-type robot for neurosurgery is developed and investigated for potential application in deep brain surgery (DBS). The neurosurgical robot consists of the base plate, the moving plate, and three limbs (a PPPU type central limb and two SPS type side limbs) connecting the plates. With an intension to use the developed neurosurgical micro robot with a macro scale robot, the position and kinematic analyses of the macro–micro robot are conducted. A structural analysis under the maximum payload condition is also conducted to confirm its structural rigidity. Then, a macro–micro robot simulator that employs the prototype as a micro robot module is developed to test both its motion capability and its potential application as a stereotactic DBS device. Finally, the absolute position accuracy measurement of the developed micro robot module based on its identified kinematic calibration model verified that its accuracy is comparable to those of existing micro robot module candidates.

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References

  1. Benabid, A. L., Chabardes, S., Mitrofanis, J., and Pollak, P., “Deep Brain Stimulation of the Subthalamic Nucleus for the Treatment of Parkinson's Disease,” The Lancet Neurology, Vol. 8, No. 1, pp. 67–81, 2009.

    Article  Google Scholar 

  2. Shoham, M., Burman, M., Zehavi, E., Joskowicz, L., Batkilin, E., and Kunicher, Y., “Bone-Mounted Miniature Robot for Surgical Procedures: Concept and Clinical Applications,” IEEE Transactions on Robotics and Automation, Vol. 19, No. 5, pp. 893–901, 2003.

    Article  Google Scholar 

  3. Modrák, V., Paško, J., and Pavlenko, S., “Alternative Solution for a Robotic Stereotactic System,” Journal of Intelligent & Robotic Systems, Vol. 35, No. 2, pp. 193–202, 2002.

    Article  MATH  Google Scholar 

  4. Cole, G., Pilitsis, J., and Fischer, G. S., “Design of a Robotic System for MRI-Guided Deep Brain Stimulation Electrode Placement,” Proc. of IEEE International Conference on Robotics and Automation, pp. 4450–4456, 2009.

    Google Scholar 

  5. Heinig, M., Govela, M. F., Gasca, F., Dold, C., Hofmann, U. G., et al., “MARS-Motor Assisted Robotic Stereotaxy System,” Proc. of 5th International IEEE/EMBS Conference on Neural Engineering (NER), pp. 334–337, 2011.

    Google Scholar 

  6. Haidegger, T., Kovacs, L., Fordos, G., Benyo, Z., and Kazanzides, P., “Future Trends in Robotic Neurosurgery,” in: 14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, Katashev, A., Dekhtyar, Y., Spigulis, J., (Eds.), Springer, pp. 229–233, 2008.

    Google Scholar 

  7. Karas, C. S. and Chiocca, E. A., “Neurosurgical Robotics: A Review of Brain and Spine Applications,” Journal of Robotic Surgery, Vol. 1, No. 1, pp. 39–43, 2007.

    Article  Google Scholar 

  8. Comparetti, M. D., Vaccarella, A., De Lorenzo, D., Ferrigno, G., and De Momi, E., “Multi-Robotic Approach for Keyhole Neurosurgery: The Robocast Project,” Proc. of SCATh Joint Workshop on New Technologies for Computer/Robot Assisted Surgery, 2011.

    Google Scholar 

  9. Deacon, G., Harwood, A., Holdback, J., Maiwand, D., Pearce, M., et al., “The Pathfinder Image-Guided Surgical Robot,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, Vol. 224, No. 5, pp. 691–713, 2010.

    Article  Google Scholar 

  10. Joskowicz, L., Shamir, R., Freiman, M., Shoham, M., Zehavi, E., et al., “Image-Guided System with Miniature Robot for Precise Positioning and Targeting in Keyhole Neurosurgery,” Computer Aided Surgery, Vol. 11, No. 4, pp. 181–193, 2006.

    Article  Google Scholar 

  11. Simon, S. L., Douglas, P., Baltuch, G. H., and Jaggi, J. L., “Error Analysis of MRI and Leksell Stereotactic Frame Target Localization in Deep Brain Stimulation Surgery,” Stereotactic and Functional Neurosurgery, Vol. 83, No. 1, pp. 1–5, 2005.

    Article  Google Scholar 

  12. Starr, P. A., Martin, A. J., Ostrem, J. L., Talke, P., Levesque, N., and Larson, P. S., “Subthalamic Nucleus Deep Brain Stimulator Placement Using High-Field Interventional Magnetic Resonance Imaging and a Skull-Mounted Aiming Device: Technique and Application Accuracy: Clinical Article,” Journal of Neurosurgery, Vol. 112, No. 3, pp. 479–490, 2010.

    Article  Google Scholar 

  13. Li, G., Su, H., Cole, G. A., Shang, W., Harrington, K., et al., “Robotic System for MRI-Guided Stereotactic Neurosurgery,” IEEE Transactions on Biomedical Engineering, Vol. 62, No. 4, pp. 1077–1088, 2015.

    Article  Google Scholar 

  14. Weise, L., Eibach, S., Seifert, V., and Setzer, M., “Intraoperative 3D Fluoroscopy in Stereotactic Surgery,” Acta Neurochirurgica, Vol. 154, No. 5, pp. 815–821, 2012.

    Article  Google Scholar 

  15. Wapler, M., Urban, V., Weisener, T., Stallkamp, J., Dürr, M., and Hiller, A., “A Stewart Platform for Precision Surgery,” Transactions of the Institute of Measurement and Control, Vol. 25, No. 4, pp. 329–334, 2003.

    Article  Google Scholar 

  16. Kim, S. M., Cheong, J., Yi, B. J., and Kim, W. K., “Comparative Study on Kinematic Characteristics of Three Micro-Surgical Mechanisms for Neurosurgical Operations,” Prof. of XX IMEKO World Congress Metrology for Green Growth, 2012.

    Google Scholar 

  17. Luh, J., Walker, M., and Paul, R., “Resolved-Acceleration Control of Mechanical Manipulators,” IEEE Transactions on Automatic Control, Vol. 25, No. 3, pp. 468–474, 1980.

    Article  MATH  Google Scholar 

  18. Elatta, A. Y., Gen, L. P., Zhi, F. L., Daoyuan, Y., and Fei, L., “An Overview of Robot Calibration,” Information Technology Journal, Vol. 3, No. 1, pp. 74–78, 2004.

    Article  Google Scholar 

  19. Mooring, B. W., Roth, Z. S., and Driels, M. R., “Fundamentals of Manipulator Calibration,” Wiley New York, 1991.

    Google Scholar 

  20. Chung, J. H., Yi, B.-J., Kim, B., Kim, W. K., Kim, Y. S., and Oh, S. H., “Accuracy Enhancement of a Surgical Robot System Using a Bi-Planar Fluoroscopy,” Proc. of the 39th International Symposium on Robotics, pp. 894–899, 2008.

    Google Scholar 

  21. Nguyen, H.-N., Zhou, J., and Kang, H.-J., “A New Full Pose Measurement Method for Robot Calibration,” Sensors, Vol. 13, No. 7, pp. 9132–9147, 2013.

    Article  Google Scholar 

  22. Rauf, A., Pervez, A., and Ryu, J., “Experimental Results on Kinematic Calibration of Parallel Manipulators Using a Partial Pose Measurement Device,” IEEE Transactions on Robotics, Vol. 22, No. 2, pp. 379–384, 2006.

    Article  Google Scholar 

  23. Daney, D., “Kinematic Calibration of the Gough Platform,” Robotica, Vol. 21, No. 6, pp. 677–690, 2003.

    Article  Google Scholar 

  24. Besnard, S. and Khalil, W., “Identifiable Parameters for Parallel Robots Kinematic Calibration,” Proc. of IEEE International Conference on Robotics and Automation, pp. 2859–2866, 2001.

    Google Scholar 

  25. Korean Standards Associations, “Manipulating Industrial Robots-Performance Criteria and Related Test Methods,” KS B ISO 9283, 2011.

    Google Scholar 

  26. Pierrot, F., Dombre, E., Dégoulange, E., Urbain, L., Caron, P., et al., “Hippocrate: A Safe Robot Arm for Medical Applications with Force Feedback,” Medical Image Analysis, Vol. 3, No. 3, pp. 285–300, 1999.

    Article  Google Scholar 

  27. Li, Q. H., Zamorano, L., Pandya, A., Perez, R., Gong, J., and Diaz, F., “The Application Accuracy of the Neuromate Robot-A Quantitative Comparison with Frameless and Frame-Based Surgical Localization Systems,” Computer Aided Surgery, Vol. 7, No. 2, pp. 90–98, 2002.

    Article  Google Scholar 

  28. Varma, T. R. K. and Eldridge, P., “Use of the Neuromate Stereotactic Robot in a Frameless Mode for Functional Neurosurgery,” The International Journal of Medical Robotics and Computer Assisted Surgery, Vol. 2, No. 2, pp. 107–113, 2006.

    Article  Google Scholar 

  29. Liu, J., Zhang, Y., and Li, Z., “Improving the Positioning Accuracy of a Neurosurgical Robot System,” IEEE/ASME Transactions on Mechatronics, Vol. 12, No. 5, pp. 527–533, 2007.

    Article  Google Scholar 

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Correspondence to Wheekuk Kim.

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Kim, S.M., Yi, BJ., Chung, JH. et al. Development of a new neurosurgical 5-DOF parallel robot for stereotactic DBS operations. Int. J. Precis. Eng. Manuf. 18, 333–343 (2017). https://doi.org/10.1007/s12541-017-0041-4

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  • DOI: https://doi.org/10.1007/s12541-017-0041-4

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