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Real-Time Finite Element Modeling for Surgery Simulation: An Application to Virtual Suturing
May/June 2004 (vol. 10 no. 3)
pp. 314-325

Abstract—Real-time finite element (FE) analysis can be used to represent complex deformable geometries in virtual environments. The need for accurate surgical simulation has spurred the development of many of the new real-time FE methodologies that enable haptic support and real-time deformation. These techniques are computationally intensive and it has proved to be a challenge to achieve the high modeling resolutions required to accurately represent complex anatomies. The authors present a new real-time methodology based on linear FE analysis that is appropriate for a wide range of surgical simulation applications. A methodology is proposed that is characterized by high model resolution, low preprocessing time, unrestricted multipoint surface contact, and adjustable boundary conditions. These features make the method ideal for modeling suturing, which is an element common to almost every surgical procedure. This paper describes constraints in the context of a Suturing Simulator currently being developed by the authors.

[1] An index of numerous reconstructions based on the Visible Human Data Set can be found athttp://www.nlm.nih.gov/research/visiblevisible_human.html , 2004.
[2] J. Berkley, P. Oppenheimer, S. Weghorst, D. Berg, G. Raugi, D. Haynor, M. Ganter, C. Brooking, and G. Turkiyyah, Creating Fast Finite Element Models from Medical Images Proc. Medicine Meets Virtual Reality 2000, 2000.
[3] J. Berkley, S. Weghorst, H. Gladstone, G. Raugi, D. Berg, and M. Ganter, Banded Matrix Approach to Finite Element Modeling for Soft Tissue Simulation Virtual Reality, vol. 4, pp. 203-212, 1999.
[4] D. Berg, G. Raugi, H. Gladstone, J. Berkley, M. Ganter, and G. Turkiyyah, Virtual Reality Simulators for Dermatologic Surgery Measuring Their Validity as a Teaching Tool Proc. Medicine Meets Virtual Reality 2001, 2001.
[5] W.F. Larrabee Jr. and D. Sutton, A Finite Element Model of Skin Deformation. II. An Experimental Model of Skin Deformation Laryngoscope, vol. 96, no. 4, pp. 406-412, 1986.
[6] S. Pieper, D. Laub, and J. Rosen, A Finite Element Facial Model for Simulating Plastic Surgery Plastic Reconstructive Surgery, vol. 96, no. 5, pp. 1100-1105, 1995.
[7] J. Gourret, N. Thalmann, and D. Thalmann, Simulation of Object and Hand Skin Deformation in a Grasping Task Proc. SIGGRAPH, 1989.
[8] D. Chen and D. Zeltzer, Pump It Up: Computer Animation of Biomechanically Based Model of Muscle Using the Finite Element Method Proc. SIGGRAPH, 1992.
[9] K. Waters and D. Terzolpolos, The Computer Synthesis of Expressive Faces Philosophical Trans. Royal Soc. London, vol. 335, no. 1273, p. 87, 1992.
[10] G. Keeve and E. Girod, Craniofacial Surgery Simulation Proc. Fourth Int'l Conf. Visualization in Biomedical Computing, 1996.
[11] S. Cotin et al., Geometric and Physical Representations for a Simulator of Hepatic Surgery Studies in Health Technological Information, vol. 29, pp. 139-151, 1996.
[12] S. Cotin, H. Delingette, and N. Ayache, Efficient Linear Elastic Models of Soft Tissue for Real-Time Surgery Simulation INRIA, Institute National de Recherche en Informatique et en Automatique, 1998.
[13] G. Picinbono et al., Anisotropic Elasticity and Force Extrapolation to Improve Realism of Surgery Simulation Proc. IEEE Int'l Conf. Robotics and Automation, 2000.
[14] M. Bro-Nielsen, Fast Finite Elements for Surgery Simulation Studies in Health Technological Information, vol. 39, pp. 395-400, 1997.
[15] K. Hansen and O. Larsen, Using Region-of-Interest Based Finite Element Modeling for Brain-Surgery Simulation Lecture Notes in Computer Science, vol. 1496, p. 305, 1998.
[16] D. James and D. Pai, A Unified Treatment of Elastostatic and Rigid Contact Simulation for Real Time Haptics The Electronic J. Haptics Research, www.haptics-e.org, 2001.
[17] M. Sagar and D. Bullivant, A Virtual Environment and Model of the Eye for Surgical Simulation Proc. SIGGRAPH, 1996.
[18] Y. Zhuang and J. Canny, Haptic Interaction with Global Deformations Proc. IEEE Int'l Conf. Robotics and Automation, 2000.
[19] C. Basdogan, Real-Time Simulation of Dynamically Deformable Finite Element Models Using Modal Analysis and Spectral Lanczos Decomposition Methods Proc. Medicine Meets Virtual Reality, 2001.
[20] X. Wu, T. Goktekin, and F. Tendrick, Adaptive Nonlinear Finite Elements for Deformable Body Simulation Using Dynamic Progressive Meshes Proc. Eurographics, vol. 20, no. 3, 2001.
[21] G. Szekely, Virtual Reality-Based Simulation of Endoscopic Surgery Presence, vol. 9, no. 3, pp. 236-255, 2000.
[22] L. Rodrigues, R. Guerraoui, and A. Schiper, “Scalable Atomic Multicast,” Proc. Seventh Int'l Conf. Computer Communications and Networks (ICCCN '98), pp. 840-847, Oct. 1998.
[23] W.H. Press et al., Numerical Recipes in C, second ed. Cambridge: Cambridge Univ. Press, 1992.
[24] O.C. Zienkiewicz and R.L. Taylor, The Finite Element Method, fourth ed., vol. 1. London: McGraw-Hill, 1994.
[25] H. Kato and M. Billinghurst, "Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System," Proc. 2nd Int'l Workshop Augmented Reality, IEEE CS Press, Los Alamitos, Calif., 1999, pp. 85-94.
[26] M. Billinghurst and H. Kato, Real World Teleconferencing Proc. Conf. Human Factors in Computing Systems (CHI '99), 1999.
[27] M. Billinghurst and H. Kato, Shared Space http://www.hitl. washington.edu/research/ shared_spacedownload/, 1999.
[28] M. Billinghurst et al., Mixing Realities in Shared Space: An Augmented Reality Interface for Collaborative Computing Proc. IEEE Int'l Conf. Multimedia and Expo (ICME2000), 2000.
[29] C.T. Lim et al., Object Reconstruction from Layered Data Using Implicit Solid Modeling J. Manufacturing Systems, special issue on layered manufacturing, vol. 16, no. 4, pp. 260-272, 1997.
[30] C. Brooking, Point Repulsion in Implicit Solids in-house publication, Dept. of Mechanical Eng., Univ. of Washington,brooking@u.washington.edu, 1999.
[31] J. Berkley, Determining Soft Tissue Material Properties for the Purpose of Finite Element Modeling of the Below Knee Amputee Residual Limb Eng., Chicago: Northwestern Univ., 1997.

Index Terms:
Suturing, real-time finite element analysis, surgery simulation.
Citation:
Jeffrey Berkley, George Turkiyyah, Daniel Berg, Mark Ganter, Suzanne Weghorst, "Real-Time Finite Element Modeling for Surgery Simulation: An Application to Virtual Suturing," IEEE Transactions on Visualization and Computer Graphics, vol. 10, no. 3, pp. 314-325, May-June 2004, doi:10.1109/TVCG.2004.1272730
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