The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.02 - March/April (2007 vol.27)
pp: 54-66
Cagatay Basdogan , Koc University
Mert Sedef , Koc University
Matthias Harders , ETH Zurich
Stefan Wesarg , Fraunhofer Institute for Computer Graphics
ABSTRACT
Simulation-based training using VR techniques is a promising alternative to traditional training in minimally invasive surgery (MIS). Simulators let the trainee touch, feel, and manipulate virtual tissues and organs through the same surgical tool handles used in actual MIS while viewing images of tool-tissue interactions on a monitor as in real laparoscopic procedures.
INDEX TERMS
surgical simulation, virtual reality, medical training, minimally invasive surgery, survey
CITATION
Cagatay Basdogan, Mert Sedef, Matthias Harders, Stefan Wesarg, "VR-Based Simulators for Training in Minimally Invasive Surgery", IEEE Computer Graphics and Applications, vol.27, no. 2, pp. 54-66, March/April 2007, doi:10.1109/MCG.2007.51
REFERENCES
1. C. Basdogan et al., "Haptics in Minimally Invasive Surgical Simulation and Training," IEEE Computer Graphics and Applications, vol. 24, no.2, 2004, pp. 56–64.
2. A. Liu et al., "A Survey of Surgical Simulation: Applications, Technology, and Education," Presence, vol. 12, no. 6, 2003, pp. 599–614.
3. S. Srinivasan, D.P. Mital, and S. Haque, "A Quantitative Analysis of the Effectiveness of Laparoscopy and Endoscopy Virtual Reality Simulators," Computers & Electrical Engineering, vol. 32, no. 4, 2006, pp. 283–298.
4. "Simulators for Training: Assessment, Validation and Acceptance Strategies," Executive Summary of the Simulator for Training Workshop, Medicine Meets Virtual Reality Conf., 2003, www.medicalsim.org/virgilExec_Summary.pdf .
5. K.D. Reinig et al., "Real-Time Visually and Haptically Accurate Surgical Simulation," Studies in Health Technology and Informatics, vol. 29, 1996, pp. 542–545.
6. R. Paget, M. Harders, and G. Szekely, "A Framework for Coherent Texturing in Surgical Simulators," Proc. 13th Pacific Conf. Computer Graphics and Applications, 2005, pp. 112–114; ftp://ftp.vision.ee.ethz.ch/publications/ proceedingseth_biwi_00354.pdf.
7. M. Kauer, Inverse Finite Element Characterization of Soft Tissues with Aspiration Experiments, doctoral dissertation, Inst. of Mechanical Systems, Swiss Fed. Inst. of Technology (ETH), Zurich, 2001.
8. M.P. Ottensmeyer, Minimally Invasive Instrument for In Vivo Measurement of Solid Organ Mechanical Impedance, doctoral dissertation, Dept. of Mechanical Eng., Massachusetts Inst. of Technology, 2001.
9. J. Kim, "Virtual Environments for Medical Training: Graphical and Haptic Simulation of Tool-Tissue Interactions," doctoral dissertation, Dept. of Mechanical Eng., Massachusetts Inst. of Technology, 2003.
10. U. Kuhnapfel, H.K. Cakmak, and H. Maab, "Endoscopic Surgery Training Using Virtual Reality and Deformable Tissue Simulation," Computers & Graphics, vol. 24, no. 5, 2000, pp. 671–682.
11. M. Bro-Nielsen and S. Cotin, "Real-Time Volumetric Deformable Models for Surgery Simulation Using Finite Elements and Condensation," Computer Graphics Forum, vol. 15, no. 3, 1996, pp. 57–66.
12. C. Basdogan, C. Ho, and M.A. Srinivasan, "Virtual Environments for Medical Training: Graphical and Haptic Simulation of Common Bile Duct Exploration," IEEE/ASME Trans. Mechatronics, vol. 6, no. 3, 2001, pp. 267–285.
13. M. Sedef, E. Samur, and C. Basdogan, "Real-Time Finite Element Simulation of Linear Viscoelastic Soft Tissue Behavior Based on Experimental Data," IEEE Computer Graphics and Applications, vol. 6, no. 6, 2006, pp. 58–68.
14. J. Berkley et al., "Real-Time Finite Element Modeling for Surgery Simulation: An Application to Virtual Suturing," IEEE Trans. Visualization and Computer Graphics, vol. 10, no. 3, 2004, pp. 314–325.
15. D. James and D.K. Pai, "A Unified Treatment of Elastostatic and Rigid Contact Simulation for Real Time Haptics," Haptics-e, Electronic J. Haptics Research, vol. 2, no. 1, 2001, http://www.haptics-e.org/Vol_02he-v2n1.pdf .
16. I.F. Costa and R. Balaniuk, "LEM—An Approach for Real Time Physically Based Soft Tissue Simulation," Proc. IEEE Int'l Conf. Robotics and Automation (ICRA 01), IEEE Press, 2001, vol. 3, pp. 2337–2343.
17. S. Cotin, H. Delingette, and N. Ayache, "A Hybrid Elastic Model Allowing Real-Time Cutting, Deformations and Force-Feedback for Surgery Training and Simulation," Visual Computer, vol. 16, no. 8, 2000, pp. 437–452.
18. G. Picinbono, H. Delingette, and N. Ayache, "Non-linear and Anisotropic Elastic Soft Tissue Models for Medical Simulation," Proc. IEEE Int'l Conf. Robotics and Automation (ICRA 02), IEEE Press, 2002, vol. 2, pp. 1370–1375.
19. J. Brown et al., "A Microsurgery Simulation System," Proc. 4th Int'l Conf. Medical Image Computing and Computer-Assisted Intervention (Miccai 01), Springer, 2001, pp.137–144.
20. S. De et al., "Physically Realistic Virtual Surgery Using the Point-Associated Finite Field (PAFF) Approach," Presence: Teleoperators & Virtual Environments, vol. 15, no. 3, 2006, pp. 294–308.
21. D. Bielser et al., "A State Machine for Real-Time Cutting of Tetrahedral Meshes," Graphical Models, vol. 66, no. 6, 2004, pp. 398–417.
22. N. Molino, Z. Bao, and R. Fedkiw, "A Virtual Node Algorithm for Changing Mesh Topology during Simulation," ACM Trans. Graphics, vol. 23, no. 3, 2004, pp. 385–392.
23. C. Basdogan, C. Ho, and M. Srinivasan, "Simulation of Tissue Cutting and Bleeding for Laparoscopic Surgery UsingAuxiliary Surfaces," Medicine Meets Virtual Reality, J.D. Westwood et al., eds., IOS Press, 1999, pp. 38–44.
24. H.W. Nienhuys and A.F. van der Stappen, "A Surgery Simulation Supporting Cuts and Finite Element Deformation," Proc. 4th Int'l Conf. Medical Image Computing and Computer-Assisted Intervention (Miccai 01), Springer, 2001, pp. 153–160.
25. D. Steinemann et al., "Hybrid Cutting of Deformable Solids," Proc. IEEE Conf. Virtual Reality (VR 06), IEEE CS Press, 2006, pp. 35–42.
26. T. Chanthasopeephan, J.P. Desai, and A.C.W. Lau, "Deformation Resistance in Soft Tissue Cutting: A Parametric Study," Proc. 12th Int'l Symp. Haptic Interfaces for Virtual Environment and Teleoperator Systems (Haptics 04), IEEE CS Press, 2004, pp. 323–330.
27. M. Mahvash and V. Hayward, "Haptic Rendering of Cutting: A Fracture Mechanics Approach," Haptics-e, Electronic J. Haptics Research, vol. 2, no. 1, 2001, http://www.haptics-e.org/Vol_02he-v2n3.pdf .
28. J. Zatonyi et al., "Real-Time Synthesis of Bleeding for Virtual Hysteroscopy," Medical Image Analysis, vol. 9, no. 3, 2005, pp. 255–266.
29. M. Chabanas and E. Promayon, "Physical Model Language: Towards a Unified Representation for Continuous and Discrete Models," Proc. Int'l Symp. Medical Simulation (ISMS 04), LNCS 3078, Springer, 2004, pp. 256–266.
30. M.C. Cavusoglu, T. Goktekin, and F. Tendick, "GiPSi: A Framework for Open Source/Open Architecture Software Development for Organ Level Surgical Simulation," IEEE Trans. Information Technology in Biomedicine, vol. 10, no. 2, 2006, pp. 312–321.
31. P. Leskovsky, M. Harders, and G. Szekely, "A Web-Based Repository of Surgical Simulator Projects," Proc. Medicine Meets Virtual Reality Conf. (MMVR 06), IOS Press, 2006, pp. 311–315.
32. F.J. Carter et al., "Consensus Guidelines for Validation of Virtual Reality Surgical Simulators," Surgical Endoscopy, vol. 19, no. 12, 2005, pp. 1523–1532.
33. N. Stylopoulos et al., "CELTS: A Clinically-Based Computer Enhanced Laparoscopic Training System," Studies in Health Technology and Informatics, vol. 94, 2003 pp. 336–342.
34. R. Sierra et al., "Generation of Variable Anatomical Models for Surgical Training Simulators," Medical Image Analysis, vol. 10, no. 2, 2006, pp. 275–285.
35. G. Bianchi et al., "Simultaneous Topology and Stiffness Identification for Mass-Spring Models Based on FEM Reference Deformations," Proc. 7th Int'l Conf. Medical Image Computing and Computer-Assisted Intervention (Miccai 04), Springer, 2004, pp. 293–301.
25 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool