Abstract
This study investigated hemodynamics of the ascending aortic aneurysm caused by Bicuspid Aortic Valve (BAV) malformation, at the systole phase of cardiac cycle. The patient-specific numerical model had coupled computational fluid dynamics and finite element analysis simulation to analyze hemodynamics phenomena of ascending aortic aneurysm. Full patient-specific geometry was reconstructed based on Computed tomography (CT) scan images, in order to obtain the Three-Dimensional (3D) finite element mesh. The analysis which was performed using the possibilities of computational fluid dynamics, employed numeric methods and algorithms for the simulation of blood flow by solving the Navier-Stokes and continuity equations on computational meshes. The cardiac cycle was simulated for average blood properties and blood flow rate. The initial results for this single case study- the pressure, velocity field and shear stress distribution were quantified concerning anatomical patient’s structures and showed alterations in dilated aortic area. The diseased
BAV produces an obstacle to blood flow and results in a decrease of blood flow in a whole flow regime which could cause huge energy loss during each heartbeat. This might induce high cyclic shear stress distribution and lead to other severe issues of the valve and surrounding aortic structures.
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Acknowledgment
This paper is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreements No 777204 and No 952603. This article reflects only the author's view. The Commission is not responsible for any use that may be made of the information it contains. The paper is also funded by Serbian Ministry of Education, Science, and Technological Development [451-03-68/2020-14/200107 (Faculty of Engineering, University of Kragujevac)].
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Djorovic, S., Velicki, L., Filipovic, N. (2021). Finite Element Analysis of Patient-Specific Ascending Aortic Aneurysm. In: Badnjevic, A., Gurbeta Pokvić, L. (eds) CMBEBIH 2021. CMBEBIH 2021. IFMBE Proceedings, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-030-73909-6_73
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DOI: https://doi.org/10.1007/978-3-030-73909-6_73
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