Towards a framework for assessing deformable models in medical simulation

Maud Marchal 1 Jérémie Allard 1 Christian Duriez 2, 1 Stéphane Cotin 1, 2
1 SHACRA - Simulation in Healthcare using Computer Research Advances
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, Inria Nancy - Grand Est
2 LIFL - Laboratoire d'Informatique Fondamentale de Lille
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.
Type de document :
Chapitre d'ouvrage
Fernando Bello, Philip J. Edwards. ISBMS '08 - International Symposium on Biomedical Simulation - 2008, 5104, Springer Berlin Heidelberg, pp.176--184, 2008, Lecture Notes in Computer Science, 978-3-540-70521-5. 〈10.1007/978-3-540-70521-5_19〉
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https://hal.inria.fr/hal-00841569
Contributeur : Jeremie Dequidt <>
Soumis le : vendredi 5 juillet 2013 - 10:45:27
Dernière modification le : jeudi 11 janvier 2018 - 06:24:22

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Maud Marchal, Jérémie Allard, Christian Duriez, Stéphane Cotin. Towards a framework for assessing deformable models in medical simulation. Fernando Bello, Philip J. Edwards. ISBMS '08 - International Symposium on Biomedical Simulation - 2008, 5104, Springer Berlin Heidelberg, pp.176--184, 2008, Lecture Notes in Computer Science, 978-3-540-70521-5. 〈10.1007/978-3-540-70521-5_19〉. 〈hal-00841569〉

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