Abstract
In this paper, we present a system for performing a complex surgical intervention using virtual reality (VR) technology. With the aid of the system, the intervention can be planned and simulated exactly before performing it in reality and important additional information can be achieved during the simulation. Before working in VR, finite element models of the patient's head are generated form CT-images. Based on these models, additional work is done in VR, where the patient's skull is cut into several pieces, which are then re-positioned. Based on moving and shifting the obtained pieces, the goal is to increase the volume inside the skull, which is called intracranial volume. Until now, it was not possible to measure the achieved increase of the intracranial volume. However, by using our system is it now possible to calculate this volume online during each step of our virtual intervention. The obtained results are used for the surgical intervention in reality.
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Robb RA, Hanson DP. The ANALYZE software system for visualization and analysis in surgery simulation. In: Computer integrated surgery. Taylor R, St. Lavallée, Burdea G, Moesges R, eds. Cambridge: MIT-Press, 1996; 175–189
Keeve E, Girod S, Augustin A, Binner A, Girod B. Interactive craniofacial surgery simulation. In: Proceedings 3D-image analysis and synthesis. Erlangen: infix Verlag, 1996; 219–224
Burdea G, Coiffet P. Virtual reality technology. New York: John Wiley & Sons, Inc., 1994
Zonneveld FW, Fukuta K. A decade of clinical three-dimensional imaging: a review. Part 2: Clinical applications. Invest Radiol 1994; 29: 574–589
Grabowski H. Generating finite element models from volumetric medical images. In: Proceedings of Medicine Meets Virtual Reality 6 (MMVR 6). Westwood JD et al. Eds. San Diego: California, 1998: 355–356
Grabowski H, Brief J, Hassfeld S, Krempien R, Raczkowsky J, Wörn H, Rembold U. Model-based registration of medical images using finite element meshes. In: Proceedings of the 12th International Symposium and Exhibition on Computer Assisted Radiology and Surgery (CARS'98). Lemke H, Vannier MW, Inamura K, Farman AG, eds. Tokyo, Elsevier Press 1998; 159–163
Lorensen W, Cline HE. Marching cubes: a high resolution 3D surface construction algorithm. Computer Graphics 1987; 21: 163–169
Abramowski S, Müller H. Geometrisches modellieren. Mannheim, Germany: Bl-Wiss.-Verlag 1991
Edelsbrunner H, Shah H. Incremental topological flipping works for regular triangulations. In: Proceedings of the 8th Annual Symposium on Computational Geometry (SCG '92). Berlin: ACM Press 1992; 43–52
Mucke E. Shapes and implementations in three-dimensional geometry. PhD thesis. Department of Computer Sience, University of Illinois at Urbana-Champaign 1993
Münchenberg J, Brief J, Hassfeld S, Raczkowsky J, Rembold U, Wörn H. Expert supported operation planning in the maxillofacial surgery. In: Proceedings of Computer Assisted Radiology and Surgery (CARS'98). Tokyo: Elsevier Press 1998; 558–563
Brief J, Hassfeld S, Redlich T, Mühling J, Walz M, Krempien R, Münchenberg J, Wörn H, Rembold U, Grabowski H, Raczkowsky J, Burgert O, Salb T, Dillmann R. 3D norm data — the first step towards semiautomatic virtual craniofacial surgery. In: Proceedings of the 13th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS'99). Paris: Elsevier Press 1999; 559–563
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Grabowski, H.A., Hassfeld, S., Krempien, R. et al. Simulation of frontal orbital advancement. Virtual Reality 4, 235–240 (1999). https://doi.org/10.1007/BF01418159
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DOI: https://doi.org/10.1007/BF01418159