Prototype of a Virtual Training System for Arthroscopic Surgery
For the last several years, virtual environments have provided significant advances in the field of medicine, specifically in the simulation of interventions and surgical procedures. This paper presents the results of the design and development of a training system that allows the user to interact with soft and hard tissues in a virtual reality environment. Due to its features of navigation and haptic handling, the Quanser HD2 device was used as a user interaction element for the simulated arthroscopic surgery, facilitating the training of surgeons in this kind of procedures. To evaluate the system, the learning curve was determined with a group of people with no experience in handling the device, by obtaining their response times and decrease in error in the tests applied
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H. Yu, N. D. Hevelone, S. R. Lipsitz, K. J. Kowalczyk and J. C. Hu, Use, Costs and Comparative Effectiveness of Robotic Assisted, Laparoscopic and Open Urological Surgery,The Journal of Urology, Vol. 187(Issue 4): 1392–1399, April 2012.
B. D. Ward and J. H. Lubowitz, Basic Knee Arthroscopy Part 2: Surface Anatomy and Portal Placement,Arthroscopy Techniques, Vol. 2, (Issue 4):e501-e502, 2013.
S. Arora, S. Undre and R. Kneebone, Simulation and Training in Minimally Invasive Surgery, Simulation Training in Laparoscopy and Robotic Surgery, pp. 31-38, 2012.
D. Vera and A. Vivas, Virtual environment for training laparoscopic surgeries using robots, 2013 Pan American Health Care Exchanges (PAHCE), pp. 1-6, April 2013.
L. Moody, A. Waterworth, A. D. McCarthy, P. J. Harley and R. H. Smallwood, The feasibility of a mixed reality surgical training environment, Virtual Reality, Vol. 12(Issue 1): 77–86, August 2007.
S. F. Fucentese, S. Rahm, K. Wieser, J. Spillmann, M. Harders and P. P. Koch, Evaluation of a virtual-reality-based simulator using passive haptic feedback for knee arthroscopy,Knee Surgery, Sports Traumatology, Arthroscopy, Vol. 23 (Issue 4): 1077-1085, April 2015.
A. M. Okamura, L. N. Verner, C. E. Reiley and M. Mahvash, Haptics for Robot-Assisted Minimally Invasive Surgery,Robotic Research, Vol. 66: 361-372, 2011.
M. A. Liss, C. Abdelshehid, S. Quach, A. Lusch, J. Graversen, J. Landman and E. M. McDougall, Validation, Correlation, and Comparison of the da Vinci Trainer™ and the da Vinci Surgical Skills Simulator™ Using the Mimic™ Software for Urologic Robotic Surgical Education,Journal of Endourology, Vol. 26 (Issue 12): 1629-1634, December 2012.
G. Niemeyer, K. J. Kuchenbecker, R. Bonneau, P. Mitra, A. M. Reid, J. Fiene and G. Weldon, THUMP: an immersive haptic console for surgical simulation and training, Medicine meets virtual reality, Vol. 12: 272-274, 2004.
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,Journal of Robotics and Mechatronics, Vol. 24 (Issue 4): 649-655, 2012.
C. Våpenstad, E. F. Hofstad, T. Langø, R. Mårvik and M. K. Chmarra, Perceiving haptic feedback in virtual reality simulators, Surgical endoscopy, Vol. 27 (Issue 7): 2391-2397, July 2013.
K. Bark, W. McMahan, A. Remington, J. Gewirtz, A. Wedmid, D. I. Lee and K. J. Kuchenbecker, In vivo validation of a system for haptic feedback of tool vibrations in robotic surgery,Surgical endoscopy, Vol. 27 (Issue 2): 656-664, 2013.
D. Erickson, H. Lacheray, G. Lai and A. Haddadi, Multi-arm multilateral Haptics-based immersive tele-robotic system (HITS) for improvised explosive device disposal, Unmanned Systems Technology XVI, Vol. 9084, pp. 1-12, Baltimore, MD, June 2014.
M. Khazraee, Characterization of a 6 DOF Haptic Device for Mixed-Reality Temporal Bone Surgery Simulation, M.Sc. dissertation, Dept. Mechanical and Manufacturing Engineering, University of Manitoba, Manitoba, Canada, 2012.
L.-F. Lee, M. Narayanan, F. Mendel, V. Krovi and P. Karam, Kinematics analysis of in-parallel 5 DOF haptic device, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 237-241, Montreal, ON, July 2010.
G. Colombo, G. Facoetti, C. Rizzi, A. Vitali and A. Zanello, Automatic 3d reconstruction of transfemoral residual limb from MRI images, Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management. Human Body Modeling and Ergonomics, Vol. 8026: 324-332, 2013.
Quanser, Quanser's High Definition Haptic Device (HD2)-User Manual, Markham, ON, 2015.
E. Lengyel, Mathematics for 3D Game Programming and Computer Graphics (Boston: Course Technology, Third Ed. 2012).
J. Hakenberg and U. Reif, On the Volume of Sets Bounded by Refinable Functions, Mathematik, 2014.
A. Petersik, B. Pflesser, U. Tiede, K. H. Höhne and R. Leuwer, Haptic volume interaction with anatomic models at sub-voxel resolution, 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2002. HAPTICS 2002. Proceedings, pp. 66-72, Orlando, FL, March2002.
M. M. Dalvand, B. Shirinzadeh, N. Saeid, F. Karimirad and J. Smith, Force measurement capability for robotic assisted minimally invasive surgery systems, WCECS 2013: Proceedings of the World Congress on Engineering and Computer Science, Vol. 1, pp. 419-424, San Francisco, CA, October 2013.
Heikkinen, J.E., Handroos, H., Design of a human machine interface for a mobile machine using simulation in virtual reality environment, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1), pp. 284-290.
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