Abstract
Computational Fluid Dynamics (CFD) is a non-invasive in silico technique that can be used for characterizing the blood flow in the cardiovascular system under physiological or pathological conditions with potential applications in the clinical decision-making, therapy planning and strategies or medical device design and optimization. The aim of this chapter is to present a brief review regarding the medical image-based segmentation capabilities, CFD solvers and the main directions of CFD in hemodynamics together with an example starting from a patient-specific abdominal aorta and its branches modeling to blood flow simulation. A 3D model was reconstructed based on Computed Tomography Angiography images using a segmentation open source software (ITK-Snap 3.6.0). Two different software environments were used comparatively for numerical analysis: a commercial package (Ansys Fluent 19.2) and an open source cardiovascular modeling package (SimVascular). The main hemodynamic parameters were assessed, showing that both numerical simulations predict the presence of the complex flow patterns.
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Totorean, AF., Bernad, S.I., Ciocan, T., Totorean, IC., Bernad, E.S. (2022). Computational Fluid Dynamics Applications in Cardiovascular Medicine—from Medical Image-Based Modeling to Simulation: Numerical Analysis of Blood Flow in Abdominal Aorta. In: Zeidan, D., Zhang, L.T., Da Silva, E.G., Merker, J. (eds) Advances in Fluid Mechanics. Forum for Interdisciplinary Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-19-1438-6_1
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