3 research outputs found

    Исследовательская роль программ CAE в сквозных технологиях CAD/CAE/CAM

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    В работе проанализирован опыт использования программ САЕ в составе комплексов CAD/CAE/CAM. CAE-системы позиционированы как современный инструмент для выполнения вычислительных экспериментов при решении различных исследовательских и проектных задач в машиностроении. Приведены примеры использования компьютерных инструментов CAE в прикладных исследованиях, направленных на поиск новых технических решений, конструкций и технологий.The application of CAE software in CAD/CAE/CAM technologies was analysed. The CAE programs are positioned as research instrument for various investigations and simulations of machine projects. Some examples of CAE use for search of new technical solutions, structures and technologies are given

    Enhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery

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    We consider the problem of improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain deformation. We focus on the brain shift deformation that occurs just after the opening of the skull and dura. The heart of our system is a nonrigid registration technique using a biomechanical model. We specifically work on two axes: the representation of the structures in the biomechanical model and the evaluation of the surface landmark displacement fields between intraoperative MR images. Using the modified Hausdorff distance as an image similarity measure, we demonstrate that our approach significantly improves the alignment of the intraoperative images. ' 2009 Elsevier B.V. All rights reserved

    Analysis of several biomechanical models for the simulation of lamb liver behaivour using similarity coefficients from medical image

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    In this study, six biomechanical models for simulating lamb liver behaviour are presented. They are validated using similarity coefficients from Medical Image on reconstructed volumes from computerised tomography images. In particular, the Jaccard and Hausdorff coefficients are used. Loads of 20 and 40 g are applied to the livers and their deformation is simulated by means of the finite element method. The models used are a linear elastic model, a neo-Hookean model, a Mooney¿Rivlin model, an Ogden model, a linear viscoelastic model and a viscohyperelastic model. The model that provided a behaviour that is closest to reality was the viscohyperelastic model, where the hyperelastic part was modelled with an Ogden model.This project has been partially funded by MITYC (reference TSI-020100-2009-189), by CDTI (reference IDI-20101153) and by MICINN (reference TIN2010-20999-C04-01). We would like to express our gratitude to the personnel from the HCB hospital where the experiments with the CT Machine were carried out.Martínez Martínez, F.; Lago Ángel, MÁ.; Rupérez Moreno, MJ.; Monserrat Aranda, C. (2012). Analysis of several biomechanical models for the simulation of lamb liver behaivour using similarity coefficients from medical image. Computer Methods in Biomechanics and Biomedical Engineering. 1-11. https://doi.org/10.1080/10255842.2011.637492S111Ahn, B., & Kim, J. (2009). Efficient soft tissue characterization under large deformations in medical simulations. International Journal of Precision Engineering and Manufacturing, 10(4), 115-121. doi:10.1007/s12541-009-0079-zAspertN, Santa-CruzD, EbrahimiT. 2002. MESH: measuring errors between surfaces using the hausdorff distance. In: IEEE International Conference in Multimedia and Expo (ICME). Vol. 1. p. 705–708.Balocco, S., Camara, O., Vivas, E., Sola, T., Guimaraens, L., Gratama van Andel, H. A. F., … Frangi, A. 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Constitutive modelling of abdominal organs. Journal of Biomechanics, 33(3), 367-373. doi:10.1016/s0021-9290(99)00196-7Nava, A., Mazza, E., Furrer, M., Villiger, P., & Reinhart, W. H. (2008). In vivo mechanical characterization of human liver. Medical Image Analysis, 12(2), 203-216. doi:10.1016/j.media.2007.10.001OttensmeyerMP, KerdokAE, HoweRD, DawsonLS. 2004. The effects of testing environment on the viscoelastic properties of soft tissue. In: Proceedings of the International Symposium on Medical Simulation. p. 9–18.Picinbono, G., Delingette, H., & Ayache, N. (2003). Non-linear anisotropic elasticity for real-time surgery simulation. Graphical Models, 65(5), 305-321. doi:10.1016/s1524-0703(03)00045-6Picinbono, G., Lombardo, J.-C., Delingette, H., & Ayache, N. (2002). Improving realism of a surgery simulator: linear anisotropic elasticity, complex interactions and force extrapolation. 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Validating linear elastic and linear viscoelastic models of lamb liver tissue using cone-beam CT. International Congress Series, 1281, 473-478. doi:10.1016/j.ics.2005.03.140Hongjian Shi, Farag, A. A., Fahmi, R., & Dongqing Chen. (2008). Validation of Finite Element Models of Liver Tissue Using Micro-CT. IEEE Transactions on Biomedical Engineering, 55(3), 978-984. doi:10.1109/tbme.2007.905387Taylor, Z. A., Comas, O., Cheng, M., Passenger, J., Hawkes, D. J., Atkinson, D., & Ourselin, S. (2009). On modelling of anisotropic viscoelasticity for soft tissue simulation: Numerical solution and GPU execution. Medical Image Analysis, 13(2), 234-244. doi:10.1016/j.media.2008.10.001UshikiS, MatsugumaC, KoishiT, NakaguchiT, TsumuraN, MiyakeY. 2007. Liver deformation model for two point-contacts based on beam of structural mechanics. In: Information Technology Applications in Biomedicine, 2007. Sixth International Special Topic Conference (ITAB 2007). p. 123–126.Vigneron, L. M., Boman, R. C., Ponthot, J.-P., Robe, P. A., Warfield, S. K., & Verly, J. G. (2010). Enhanced FEM-based modeling of brain shift deformation in Image-Guided Neurosurgery. Journal of Computational and Applied Mathematics, 234(7), 2046-2053. doi:10.1016/j.cam.2009.08.06
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