Abstract
Computational techniques for the analysis of mechanical problems have recently moved from traditional engineering disciplines to biomedical simulations. Thus, the number of complex models describing the mechanical behavior of medical environments have increased these last years. While the development of advanced computational tools has led to interesting modeling algorithms, the relevances of these models are often criticized due to incomplete model verification and validation. The objective of this paper is to propose a framework and a methodology for assessing deformable models. This proposal aims at providing tools for testing the behavior of new modeling algorithms proposed in the context of medical simulation. Initial validation results comparing different modeling methods are reported as a first step towards a more complete validation framework and methodology.
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References
Anderson, A., Ellis, B., Weiss, J.: Verification, validation and sensitivity studies in computational biomechanics. Computer Methods in Biomechanics and Biomedical Engineering 10(3), 171–184 (2007)
Alterovitz, R., Goldberg, K.: Comparing algorithms for soft tissue deformation: Accuracy metrics and benchmarks. Technical report, UC Berkeley (2002)
Bianchi, G., Solenthaler, B., Szkely, G., Harders, M.: Simultaneous topology and stiffness identification for mass-spring models based on fem reference deformations. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 293–301. Springer, Heidelberg (2004)
van Gelder, A.: Approximate simulation of elastic membranes by triangulated spring meshes. Journal of Graphics Tools 3(2), 21–41 (1998)
Baudet, V., Beuve, M., Jaillet, F., Shariat, B., Zara, F.: Integrating tensile parameters in 3d mass-spring system. In: Proceedings of Surgetica (2007)
Kerdok, A., Cotin, S., Ottensmeyer, M., Galea, A., Howe, R., Dawson, S.: Truthcube: Establishing physical standards for real time soft tissue simulation. Medical Image Analysis 7, 283–291 (2003)
Leskowsky, R., Cooke, M., Ernst, M., Harders, M.: Using multidimensional scaling to quantify the fidelity of haptic rendering of deformable objects. In: Proceedings of EuroHaptics, pp. 289–295 (2006)
Chabanas, M., Payan, Y., Marcaux, C., Swider, P., Boutault, F.: Comparison of linear and non-linear soft tissue models with post-operative ct scan in maxillofacial surgery. In: International Symposium on Medical Simulation, pp. 19–27 (2004)
Zienkiewicz, O.C., Taylor, R.L.: The Finite Element Method, 5th edn. Butterworth-Heinemann (2000)
Allard, J., Cotin, S., Faure, F., Bensoussan, P.J., Poyer, F., Duriez, C., Delingette, H., Grisoni, L.: Sofa - an open source framework for medical simulation. In: Proceedings of Medecine Meets Virtual Reality, pp. 13–18 (2007)
Chabanas, M., Promayon, E.: Physical model language: Towards a unified representation for continuous and discrete models. In: Proceedings of International Symposium on Medical Simulation, pp. 256–266 (2004)
Picinbono, G., Delingette, H., Ayache, N.: Non-linear and anisotropic elastic soft tissue models for medical simulation. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 1370–1375 (2001)
Muller, M., Gross, M.: Interactive virtual materials. In: Proceedings of Graphics Interface, pp. 239–246 (2004)
Duriez, C., Cotin, S., Lenoir, J., Neumann, P.: New approaches to catheter navigation for interventional radiology simulation. Computer Aided Surgery 11(6), 300–308 (2006)
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Marchal, M., Allard, J., Duriez, C., Cotin, S. (2008). Towards a Framework for Assessing Deformable Models in Medical Simulation. In: Bello, F., Edwards, P.J.E. (eds) Biomedical Simulation. ISBMS 2008. Lecture Notes in Computer Science, vol 5104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70521-5_19
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DOI: https://doi.org/10.1007/978-3-540-70521-5_19
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