Skip to main content
Log in

Design and evaluation of safety operation VR training system for robotic catheter surgery

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

A number of remote robotic catheter systems have been developed to protect physicians from X-ray exposure in endovascular surgery. However, the teleoperation prevents the physicians sensing the force directly which may easily result in healthy vessels injured. To realize the safe operation, a tissue protection-based VR training system has been developed in this paper to prevent collateral damage by collision. The integrated VR simulator cannot only remind the novice possible collisions by visual signs, but also cooperate with the newly designed tissue protection mechanism to remit collision trauma beforehand. Such mechanism exploits the diameter variable pulley in order to implement the safe interaction between catheter and vasculature. To testify the effectiveness of the tissue protection in training system, we invited four non-medical students to participate the successive 5 days training session. The evaluation results show that the average impingement distance (representing tissue damage) to vascular wall has been reduced to 0.6 mm, and the collision frequency is greatly decreased which implies the realization of relative safe catheterization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Fu Q, Guo S, Yamauchi Y et al (2015) A novel hybrid microrobot using rotational magnetic field for medical applications. Biomed Microdevices 17(2):1–12

    Article  CAS  Google Scholar 

  2. Vania T, De Lin M, Desgranges P, Deux J-F et al (2013) Image guidance for endovascular repair of complex aortic aneurysms: comparison of two-dimensional and three-dimensional angiography and image fusion. J Vasc Interv Radiol 24(11):1698–1706

    Article  Google Scholar 

  3. Khan EM, Frumkin W, Andre Ng G, Neelagaru S et al (2013) First experience with a novel robotic remote catheter system: Amigo™ mapping trial. J Interv Card Electrophysiol 37(2):121–129

    Article  PubMed  Google Scholar 

  4. Salimi A, Ramezanifar A, Mohammadpour J, and Grogoriadis KM 2013. Development of a master-slave robotic system for MRI-guided intracardiac interventions. Proceedings of the ASME 2013 Dynamic Systems and Control Conference, pp.V001T08A005-V001T08A005

  5. Mitsuishi M, Morita A, Sugita N, Sora S et al (2013) Master–slave robotic platform and its feasibility study for micro-neurosurgery. Int J Med Rob Comput Assisted Surg Vol.9, no.2:180–189

    Article  Google Scholar 

  6. Xiao N, Shi L, Gao B, Guo S et al (2013) Clamping force evaluation for a robotic catheter navigation system. Neurosci Biomed Eng 1(2):141–145

    Article  Google Scholar 

  7. Guo J, Guo S, Yu Y 2016 Design and characteristics evaluation of a novel teleoperated robotic catheterization system with force feedback for vascular interventional surgery. Biomedical microdevices. In press

  8. Yin X, Guo S, Xiao N et al (2016) Safety operation consciousness realization of MR fluids-based novel haptic interface for teleoperated catheter minimally invasive surgery. IEEE/ASME Transactions on Mechatronics 21(2):1043–1054

    Article  Google Scholar 

  9. Zhou C, Xie L, Shen X, Luo M et al (2015) Cardiovascular interventional surgery virtual training platform and its preliminary evaluation. Int J Med Rob Comput Assisted Surg 11(3):375–387

    Article  Google Scholar 

  10. Alaraj A, Lemole MG, Finkle JH , Yudkowsky R et al 2011 Virtual reality training in neurosurgery: review of current status and future applications

  11. Erick J, Zhang Y, Shimada K (2011) Estimating an equivalent wall-thickness of a cerebral aneurysm through surface parameterization and a non-linear spring system. Int J Numer Methods Biomed Eng 27(7):1054–1072

    Article  Google Scholar 

  12. Zhang D, Wang T, Liu D, Lin G (2010) Vascular deformation for vascular interventional surgery simulation. Int J Med Rob Comput Assisted Surg 6(2):171–177

    Google Scholar 

  13. Wen T, Wan TR, Gould GA et al (2012) A stable and real-time nonlinear elastic approach to simulating guidewire and catheter insertions based on cosserat rod. IEEE Trans Biomed Eng 59(8):2211–2218

    Article  Google Scholar 

  14. Wang Y, Guo S, Tamiya T, Hirata H, Ishihara H (2015) A blood vessel deformation model based virtual-reality simulator for the robotic catheter operating system. Neurosci Biomed Eng 2(3):126–131

    Article  Google Scholar 

  15. Morris Dan, Hong Tan, Federico Barbagli, Timothy Chang, et al. Haptic feedback enhances force skill learning. Proceedings of the symposium on haptic interfaces for virtual environment and teleoperator systems, pp. 21–26 2007.

  16. Wang Y, Guo S, Tamiya T, Hirata H, Ishihara H A virtual-reality simulator and force sensation combined catheter operation training system and its preliminary evaluation. Int J Med Rob Comput Assisted Surg. doi:10.1002/rcs.1769, 2016

  17. Reddy Vivek Y, Shah D, Kautzner J, Schmidt B et al (2012) The relationship between contact force and clinical outcome during radiofrequency catheter ablation of atrial fibrillation in the TOCCATA study. Heart Rhythm 9(11):1789–1795

    Article  CAS  PubMed  Google Scholar 

  18. Okumura Y, Johnson SB, Bunch TJ, Henz BD et al (2008) A systematical analysis of in vivo contact forces on virtual catheter tip/tissue surface contact during cardiac mapping and intervention. J Cardiovasc Electrophysiol 19(6):632–640

    Article  PubMed  Google Scholar 

  19. Francesco P, Kevin Heist E, Danik SB, Barrett CD et al (2011) Assessment of catheter tip contact force resulting in cardiac perforation in swine atria using force sensing technology. Circ Arrhythm Electrophysiol 4(2):218–224

    Article  Google Scholar 

  20. Di Biase L, Natale A, Barrett C, Tan C et al (2009) Relationship between catheter forces, lesion characteristics,“popping,” and char formation: experience with robotic navigation system. J Cardiovasc Electrophysiol 20(4):436–440

    Article  PubMed  Google Scholar 

  21. Khoshnam M, Yurkewich A, and Patel RV 2013 Model-based force control of a steerable ablation catheter with a custom-designed strain sensor. Proceedings of the IEEE International Conference on Robotics and Automation, pp.4479–4484

  22. Gelman D, Skanes A, Tavallaei MA, Drangova M (2016) Design and evaluation of a catheter contact-force controller for cardiac ablation therapy. IEEE Trans Biomed Eng. doi:10.1109/TBME.2016.2525929

  23. Ong CJ, Gilbert EG (1997) The Gilbert-Johnson-Keerthi distance algorithm: A fast version for incremental motions. Proceedings of 1997 I.E. International Conference on Robotics and Automation 2:1183–1189

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Guo, S., Li, Y. et al. Design and evaluation of safety operation VR training system for robotic catheter surgery. Med Biol Eng Comput 56, 25–35 (2018). https://doi.org/10.1007/s11517-017-1666-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-017-1666-2

Keywords

Navigation