Abstract
This paper designs a manual percutaneous puncture actuator, and proposes a semi-automatic human-machine collaboration workflow that fully integrates the high precision of the robot and the flexibility of the doctor. This paper verifies the second-order polynomial relationship between the friction force of the needle in the tissue and the deflection through experiments. In the framework of the workflow proposed in this paper, combined with the damage-minimizing puncture method proposed in this paper, manual high-precision puncture is realized, and the accuracy of manual puncture is improved by 86% when the penetration depth is 120 mm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hiraki, T., et al.: Robotic needle insertion during computed tomography fluoroscopy–guided biopsy: prospective first-in-human feasibility trial. Eur. Radiol. 30(2), 927–933 (2019). https://doi.org/10.1007/s00330-019-06409-z
Kwoh, Y.S., Hou, J., Jonckheere, E.A., Hayati, S.: A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery. IEEE Trans. Biomed. Eng. 35, 153–160 (1988). https://doi.org/10.1109/10.1354
Haidegger, T.: Autonomy for surgical robots: concepts and paradigms. IEEE Trans. Med. Robot. Bionics 1, 65–76 (2019). https://doi.org/10.1109/TMRB.2019.2913282
Abedin-Nasab, M.H.: Handbook of Robotic and Image-Guided Surgery. Elsevier, Amsterdam (2019)
Podder, T.K., et al.: AAPM and GEC‐ESTRO guidelines for image‐guided robotic brachytherapy: report of task group 192. Med. Phys. 41 (2014)
Dou, H., Jiang, S., Yang, Z., Sun, L., Ma, X., Huo, B.: Design and validation of a CT-guided robotic system for lung cancer brachytherapy. Med. Phys. 44, 4828–4837 (2017). https://doi.org/10.1002/mp.12435
Yi, L.: Research on key technology of radioactive seed implantation robot for prostate (2017)
Abolhassani, N., Patel, R.V., Ayazi, F.: Minimization of needle deflection in robot-assisted percutaneous therapy. Int. J. Med. Robot. Comput. Assist. Surg. 3, 140–148 (2007)
Li, P., Yang, Z., Jiang, S.: Needle-tissue interactive mechanism and steering control in image-guided robot-assisted minimally invasive surgery: a review. Med. Biol. Eng. Comput. 56(6), 931–949 (2018). https://doi.org/10.1007/s11517-018-1825-0
Roberti, A., Piccinelli, N., Meli, D., Muradore, R., Fiorini, P.: Improving rigid 3-D calibration for robotic surgery. IEEE Trans. Med. Robot. Bionics 2, 569–573 (2020). https://doi.org/10.1109/TMRB.2020.3033670
Okamura, A.M., Simone, C., O’Leary, M.D.: Force modeling for needle insertion into soft tissue. IEEE Trans. Biomed. Eng. 51, 1707–1716 (2004). https://doi.org/10.1109/TBME.2004.831542
Yang, C.J., Xie, Y., Liu, S., Sun, D.: Force modeling, identification, and feedback control of robot-assisted needle insertion: a survey of the literature. Sensors 18, 38 (2018). https://doi.org/10.3390/s18020561
Lehmann, T., Rossa, C., Usmani, N., Sloboda, R., Tavakoli, M.: A real-time estimator for needle deflection during insertion into soft tissue based on adaptive modeling of needle-tissue interactions. IEEE/ASME Trans. Mechatron., 1–1 (2016)
Webster, R.J., Cowan, N.J., Chirikjian, G., Okamura, A.M.: Nonholonomic modeling of needle steering. Int. J. Robot. Res. 25, 509–525 (2006)
Acknowledgements
This research was funded by National Key Research and Development Program of China (Grant No. 2019YFB1311303), Natural Science Foundation of China (Grant No. U1713202) and Major scientific and technological innovation projects in Shandong Province (Grant No. 2019JZZY010430).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, L., Li, C., Fan, Y., Liu, G., Zhang, X., Zhao, J. (2021). Design and Experiment of Actuator for Semi-automatic Human-Machine Collaboration Percutaneous Surgery. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13014. Springer, Cham. https://doi.org/10.1007/978-3-030-89098-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-89098-8_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89097-1
Online ISBN: 978-3-030-89098-8
eBook Packages: Computer ScienceComputer Science (R0)