single-rb.php

JRM Vol.24 No.4 pp. 649-655
doi: 10.20965/jrm.2012.p0649
(2012)

Paper:

Virtual Reality Simulators Based on a Novel Robotic Catheter Operating System for Training in Minimally Invasive Surgery

Jin Guo*, Shuxiang Guo**, ***, Nan Xiao**, and Baofeng Gao**

*Graduate School of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Japan

**Intelligent Mechanical Systems Engineering Department, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Japan

***Harbin Engineering University, Harbin, Heilongjiang Province, China

Received:
February 3, 2012
Accepted:
May 30, 2012
Published:
August 20, 2012
Keywords:
minimally invasive surgery, virtual reality simulators, physical-based models, training system
Abstract
Minimally invasive surgery is a specialized surgical technique that permits vascular interventions through very small incisions. This minimizes patients’ trauma and permits faster recovery compared to conventional surgery. The significant disadvantage of this surgical technique is, however, its complexity; therefore, it requires extensive training before surgery. In this paper, we presented virtual reality simulators for training with force feedback in minimally invasive surgery. This application allows generating realistic physicalbased models of catheters and blood vessels, and enables surgeons to touch, feel and manipulate virtual catheter inside a vascularmodel through the same surgical operation mode as is used in actual MIS. Experimental results show that the error rate is in an acceptable range and that simulators can be used for surgery training.
Cite this article as:
J. Guo, S. Guo, N. Xiao, and B. Gao, “Virtual Reality Simulators Based on a Novel Robotic Catheter Operating System for Training in Minimally Invasive Surgery,” J. Robot. Mechatron., Vol.24 No.4, pp. 649-655, 2012.
Data files:
References
  1. [1] C. Basdogan, C. Ho, and M. A. Srinivasan, “Virtual Environments forMedical Training: Graphical and Haptic Simulation of Common Bile Duct Exploration,” IEEE ASME Trans. Mechatronics, Vol.6, No.3, pp. 267-285, 2001.
  2. [2] H. K. Çakmak and U. Kühnapfel, “Animation and Simulation Techniques for VR Training Systems in Endoscopic Surgery,” Proc. Eurographics Workshop Animation and Simulation (EGCAS 2000), pp. 173-185, 2000.
  3. [3] J. Brown et al., “Algorithmic Tools for Real-Time Microsurgery Simulation,” Medical Image Analysis, Vol.6, No.3, pp. 289-300, 2002.
  4. [4] J. S. Tsang, P. A. Naughton, S. Leong, A. D. K. Hill, C. J. Kelly, and A. L. Leahy, “Virtual reality simulation in endovascular surgical training, The Surgeon,” Vol.6, Issue 4, pp. 214-220, August 2008.
  5. [5] D. Wei, S. Hasegawa, K. Takahashi, E. Ryzhii, and X. Zhu, “A Virtual Reality for Catheter-based EPS based on Whole-heart Model,” Int. J. of Bioelectromagnetism, Vol.11, No.1, pp. 2-6, 2009.
  6. [6] C. Basdogan, M. Sedef, M. Harders, and S. Wesarg, “VR-Based Simulators for Training in Minimally Invasive Surgery,” IEEE Computer Graphics and Application, Vol.27, No.2, pp. 54-66, April 2007.
  7. [7] P. Chiang, Y. Cai, K. H. Mak, E. M. Soe, C. K. Chui, and J. Zheng, “A geometric approach to the modeling of the catheter-heart interaction for VR simulation of intra-cardiac intervention,” Computers & Graphics, Vol.35, Issue 5, pp. 1013-1022, October 2011.
  8. [8] K. Takashima, R. Shimomura, T. Kitou, H. Terada, K. Yoshinaka, and K. Ikeuchi, “Contact and friction between catheter and blood vessel,” Tribology Int., Vol.40, Issue 2, pp. 319-328, February 2007.
  9. [9] U. Meier, F. J. Garcia, N. C. Parr, C. Monserrat, J. A. Gil, V. Grau, M. C. Juan, and M. Alcaniz, “3D surgery trainer with force feedback in minimally invasive surgery,” Int. Congress Series, Vol.1230, pp. 32-37, June 2001.
  10. [10] R. Aggarwal, S. A. Black, J. R. Hance, A. Darzi, and N. J. W. Cheshire, “Virtual Reality Simulation Training can Improve Inexperimenced Surgeons’ Endovascular Skills,” European J. of Vascular and Endovascular Surgery, Vol.31, Issue 6, pp. 588-593, June 2006.
  11. [11] S. K. Neequaye, R. Aggarwal, I. V. Herzeele, A. Darzi, and N. J. Cheshire, “Endovascular skills training and assessment,” J. of Vascular Surgery, Vol.46, Issue 5, pp. 1055-1064, November 2007.
  12. [12] C. Basdogan, S. De, J. Kim, M. Muniyandi, H. Kim, and M. A. Srinivasan, “Haptics in minimally invasive surgical simulation and training,” Computer Graphics and Applications, IEEE, Vol.24, Issue 2, pp. 56-64, April 2004.
  13. [13] R. Aggarwal, S. A. Black, J. R. Hance, A. Darzi, and N. J. W. Cheshire, “Virtual Reality Simulation Training can Improve Inexperienced Surgeons’ Endovascular Skills,” European J. of Vascular and Endovascular Surgery, Vol.31, Issue 6, pp. 588-593, June 2006.
  14. [14] X.Wang and M. Meng, “Perspective of Active Capsule Endoscope: Actuation and Localization,” Int. J. of Mechatronics and Automation, Vol.1, No.1, pp. 38-45, 2011.
  15. [15] S. Abdulla and P.Wen, “Robust Internal Model Control for Depth of Anaesthesia,” Int. J. of Mechatronics and Automation, Vol.1, No.1, pp. 1-8, 2011.
  16. [16] Y. C.Wu and J. S. Chen, “Toward the Identification of EMG-Signal and Its Bio-Feedback Application,” Int. J. of Mechatronics and Automation, Vol.1, No.2, pp. 112-120, 2011.
  17. [17] J. Szewczyk, E. Marchandise, P. Flaud, L. Royon, and R. Blanc, “Active Catheters for Neuroradiology,” J. of Robotics and Mechatronics, Vol.23, No.1, pp. 105-115, 2011.
  18. [18] M. Nakayama, S. Abiko, X. Jiang, A. Konno, and M. Uchiyama, “Stable Soft-Tissue Fracture Simulation for Surgery Simulator,” J. of Robotics and Mechatronics, Vol.23, No.4, pp. 589-597, 2011.
  19. [19] M. Tomono, “3D Object Modeling and Segmentation Using Image Edge Points in Cluttered Environments,” J. of Robotics and Mechatronics, Vol.21, No.6, pp. 672-679, 2009.
  20. [20] Y. Yamaguchi, T. Yoshimizu, Y. Muta, and M. Tashiro, “A Study on Catheter Drives for Automatic Aspiration Working with Ventilator,” J. of Robotics and Mechatronics, Vol.19, No.3, pp. 331-338, 2007.
  21. [21] D. Sato, R. Kobayashi, A. Kobayashi, S. Fujino, and M. Uchiyama, “Soft Tissue Pushing Operation Using a Haptic Interface for Simulation of Brain Tumor Resection,” J. of Robotics and Mechatronics, Vol.18, No.5, pp. 634-642, 2006.
  22. [22] J. Guo, S. Guo, N. Xiao, X. Ma, S. Yoshida, T. Tamiya, and M. Kawanishi, “Feasibility Study for a Novel Robotic Catheter System,” Proc. of 2011 Int. Conf. on Mechatronics and Automation, pp. 205-210, August 2011.
  23. [23] J. Guo, S. Guo, N. Xiao, X. Ma, S. Yoshida, T. Tamiya, and M. Kawanishi, “A New Master-slave Robotic Catheter System,” Proc. of the 2011 IEEE/ICME Int. Conf. on Complex Medical Engineering, pp. 610-613, May 22-25, 2011.
  24. [24] X. Ma, S. Guo, N. Xiao, J. Guo, X. Xiao, S. Yoshida, T. Tamiya, and M. Kawanishi, “Development of a PID controller for a novel robotic catheter system,” Proc. of the 2011 IEEE/ICME Int. Conf. on Complex Medical Engineering, pp. 64-68, May 22-25, 2011.
  25. [25] J. Guo, S. Guo, N. Xiao, X. Ma, S. Yoshida, T. Tamiya, and M. Kawanishi, “A Novel Robotic Catheter System with Force and Visual Feedback for Vascular Interventional Surgery,” Int. J. of Mechatronics and Automation, in press, 2012.
  26. [26] N. Xiao, S. Guo, J. Guo, X. Xiao, and T. Tamiya, “Development of a Kind of Robotic Catheter Manipulation System,” Proc. of the 2011 IEEE Int. Conf. on Robotics and Biomimetics, Phuket, Thailand, pp. 32-37, Dec. 7-11, 2011.
  27. [27] J. Guo, S. Guo, N. Xiao, S. Yoshida, T. Tamiya, and M. Kawanishi, “Characteristics Evaluation of the Novel Robotic Catheter System,” Proc. of the 2011 IEEE Int. Conf. on Robotics and Biomimetics, Phuket, Thailand, pp. 258-262, Dec. 7-11, 2011.
  28. [28] X. Ye, B. Qiao, S. Guo, and Q. Guo, “Reasearch of tissue deformation in virtual surgery simulation,” J. of Computer Applications, Vol.29, Issue 2, pp. 568-573, February 2009.
  29. [29] Z. Zhengdong, P. Haigron, V. Guilloux, and A. Lucas, “Virtual Reality Based Three-Dimensional GuideWire Propagation Simulation For Endovascular Intervention,” Trans. of Nanjing University of Aeronautics & Astronautics, Vol.27, No.1, pp. 62-69, March 2010.
  30. [30] Z. Qiukui, P. Haigron, L. limin, and S. huazhong, “FEM model for real-time guide wire simulation in vasculature,” J. of Southeast University, Vol.24, No.1, pp. 50-54, March 2008.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 11, 2024