Abstract
The main purpose of this study was to computationally examine the hemodynamic parameters of plaque progression within carotid artery, such as wall shear stress and plaque concentration. The 3D finite element mesh was created for a patient-specific anatomical geometry which was reconstructed on the basis of computed tomography (CT) scan images. The 3D blood flow was governed by the Navier–Stokes equations and continuity equation. Mass transfer within the blood lumen and through the arterial wall was coupled with the blood flow and modelled by the convection–diffusion equation. Kedem–Katchalsky equations described low-density lipoprotein (LDL) transport in lumen of the vessel. Two time periods were considered (baseline and follow-up). The results of the analyzes have shown that zones with lower shear stress values were correlated with the zones of plaque accumulation and progression. This was confirmed at the follow-up, where simulation results had shown that carotid lumen was reduced due to plaque progression. This type of numerical simulations has become significant support to medicine, due to capability to determine the zone of plaque appearance and predict its further progression.
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Acknowledgements
This paper is supported by TAXINOMISIS project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 755320, and by projects III41007 and OI174028 of Ministry of Education, Science and Technological Development of Serbia. 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.
Declaration The authors declare no conflict of interest.
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Djorovic, S., Saveljic, I., Filipovic, N. (2020). Numerical Analysis of Plaque Progression in 3D Patient Specific Model of Carotid Artery. In: Badnjevic, A., Škrbić, R., Gurbeta Pokvić, L. (eds) CMBEBIH 2019. CMBEBIH 2019. IFMBE Proceedings, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-17971-7_52
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DOI: https://doi.org/10.1007/978-3-030-17971-7_52
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