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CFD Analysis for the Evaluation of Patient-Specific Hemodynamic Parameters in Cerebral Aneurysms

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XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (MEDICON 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 76))

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Abstract

Blood flow simulations are now considered a valuable tool for a deeper understanding of the physiopathology of intracranial aneurysms. Many authors built robust computational settings based on accurate computer-assisted registration, segmentation, and 3D geometry reconstruction from medical images of patient-specific cerebral aneurysms, and special techniques to derive appropriate boundary conditions. However, an accurate description of flow mechanics in the near-wall region and its connection with the evolution of the wall disease evolution remains linked to several questions not yet fully understood. Recently, several authors have suggested a lower order approximation of the Lagrangian dynamics in the near-wall region, which allows for a meaningful characterization of both normal and parallel flow direction to the wall. We verify this computational approach in a follow-up case study and try to provide a step further in the understanding of the hemodynamics environment and its possible connection with the aneurysm inception and growth.

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Acknowledgments

This project was supported by Fundação para a Ciência e a Tecnologia (Portugal), through the grant SFRH/BD/90339/2012, by the projects UID/Multi/04621/2013 and UID/Multi/04621/2019 of CEMAT/IST and by the Department of Mathematics of the Instituto Superior Técnico, University of Lisbon.

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Correspondence to Iolanda Velho .

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Velho, I., Tiago, J., Gambaruto, A., Sequeira, A., Pereira, R. (2020). CFD Analysis for the Evaluation of Patient-Specific Hemodynamic Parameters in Cerebral Aneurysms. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_165

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  • DOI: https://doi.org/10.1007/978-3-030-31635-8_165

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31634-1

  • Online ISBN: 978-3-030-31635-8

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