Abstract
Endovascular clinicians use guidewires to navigate within vessels during angiography or angioplasty. In mastering this core skill, an alternative to the traditional apprenticeship in patients is provided by virtual training environments though these require a faithful replication of complex guidewire behaviours inside the vasculature. This paper presents the integration of realistic flexibilities into our guidewire model that simulates the stiffness of seven commonly used guidewires. Each virtual instrument is represented as a mass-spring model replicating their flexibility and shape, especially at the flexible end. The bending coefficients were determined by comparing of the behaviour of real guidewires in a transparent silicone rubber vascular phantom to that of virtual guidewires in the virtual representation of the phantom. As a result, our representation captures the required range of behaviour and enables accurate deformation.
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References
Seymour, N.E., Gallagher, A.G., Roman, S.A., O’Brien, M.K., Bansal, V.K., Andersen, D.K., Satava, R.M.: Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Annals of Surgery 236(4), 458–463 (2002); discussion 463-4
Dawson, S., Gould, D.A.: Procedural simulation’s developing role in medicine. The Lancet 369, 1671–1673 (2007)
Cotin, S., Duriez, C., Lenoir, J., Neumann, P., et al.: New approaches to catheter navigation for interventional radiology simulation. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 534–542. Springer, Heidelberg (2005)
Alderliesten, T., Konings, M.K., Niessen, W.J.: Modeling Friction, Intrinsic of Curvature, and Rotation Guide Wires for Simulation of Minimally Invasive Vascular Interventions. IEEE Transactions on Biomedical Engineering 54(1) (January 2007)
Chui, C., Li, Z., et al.: Training and pretreatment planning of interventional neuroradiology procedures – initial clinical validation. MMVR 2002 85, 96–102 (2002)
Luboz, V., Blazewski, R., Gould, D., Bello, F.: Real-time Guidewire Simulation in Complex Vascular Models. The Visual Computer (2009)
Luboz, V., Din, N., Song, Y., King, D., Gould, D., Bulpitt, A., Bello, F.: Segmentations of 3D vasculatures for interventional radiology simulation. In: Workshop of British Machine Vision Association (BMVA) (December 2008)
Schneider, P.: Endovascular Skills: guidewire and catheter skills for endovascular surgery, 3rd edn. (December 2008)
Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)
Zijdenbos, A.P., Dawant, B.M., Margolin, R.A., et al.: Morphometric Analysis of White Matter Lesions in MR Images: Method and Validation. IEEE Transactions on Medical Imaging 13(4) (December 1994)
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Luboz, V. et al. (2010). Endovascular Guidewire Flexibility Simulation. In: Bello, F., Cotin, S. (eds) Biomedical Simulation. ISBMS 2010. Lecture Notes in Computer Science, vol 5958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11615-5_18
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DOI: https://doi.org/10.1007/978-3-642-11615-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11614-8
Online ISBN: 978-3-642-11615-5
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