The aim of this study is to estimate the effect of blood flow through the coronary artery in human heart so as to assess the coronary artery disease.Velocity, wall shear stress (WSS), strain rate and wall pressure distribution are some of the important hemodynamic parameters that are non-invasively assessed with computational fluid dynamics (CFD). These parameters are used to identify the mechanical factors responsible for the plaque progression and\/or rupture in left coronary arteries (LCA) in coronary arteries.The initial step for CFD simulations was the construction of a geometrical model of the LCA. Patient specific artery model is constructed using computed tomography (CT) scan data with the help of MIMICS Research 19.0. For CFD analysis ANSYS FLUENT-14.5 is used.Hemodynamic parameters were quantified and flow patterns were visualized both in the absence and presence of coronary plaques. The wall pressure continuously decreased towards distal segments and showed pressure drops in stenotic segments. Areas of high WSS and high flow velocities were found adjacent to plaques deposition.<\/p>\r\n","references":"[1]\tD.Martin and A. Zaman (2009) Analysis of hemodynamic factors involved in carotid atherosclerosis using computational fluid dynamics, The British Journal of Radiology 82, 33\u201338.\r\n[2]\tD.A. Steinman (2002) Image-based computational fluid dynamics modeling in realistic arterial geometries, Annals of Biomedical Engineering 30, 483\u2013497.\r\n[3]\tD.A.Steinman and C.A.Taylor (2005) Flow imaging and computing: large artery hemodynamics, Annals of Biomedical Engineering 33, 1704\u20131709.\r\n[4]\tZhonghuaSuna and Lei Xub (2014) Computational fluid dynamics in coronary artery disease, Computerized Medical Imaging and Graphics 38, 651\u2013663.\r\n[5]\tS. K. Shanmugavelayudam, D. A. Rubenstein and W. Yin (2010) Effect of geometrical assumptions on numerical modeling of coronary blood flow under normal and disease conditions, Journal of Biomechanical Engineering 132.\r\n[6]\tWellnhofer E, Osman J, Kertzscher U, Affeld K, Fleck E and Goubergrits L (2010) Flow simulation studies in coronary arteries \u2013 impact of side-branches, Atherosclerosis 213,475\u2013548.\r\n[7]\tJ. Keener and J. Sneyd, Mathematical Physiology. II: Systems Physiology, (Springer, 2nd edition, 2008).\r\n[8]\tA. S. Popel and P. C. Johnson (2005) Microcirculation and hemorheology, Annual Review of Fluid Mechanics 37, 43-69.\r\n[9]\tC. G. Caro, T. J. Pedley, R. C. Schroter and W. A. Seed, The Mechanics of the Circulation, (Oxford University Press, 1978).\r\n[10]\tR. Manimaran (2011) CFD Simulation of Non-Newtonian Fluid Flow in Arterial Stenoses with Surface Irregularities, World Academy of Science, EngineeringTechnology, 5.\r\n[11]\tJohnston P.R., Kilpatrick D. (1991) Mathematical modelling of flow through an irregular arterial stenosis, Journal of Biomechanics 24, 1069-1077.\r\n[12]\tZhonghu Sun (2013) Coronary CT Angiography in Coronary Artery Disease: Correlation between Virtual Intravascular Endoscopic Appearances and Left Bifurcation Angulation and Coronary Plaques, BioMed Research International 2013.\r\n[13]\tZ. Sun, B. Mwipatayi, T. Chaichana, and C. Ng, \u201cHemodynamic effect of calcified plaque on blood flow in carotid artery disease: a preliminary study - Hemodynamic effect of calcified plaque,\u201d in Proceedings of the 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE \u201909), pp. 1\u20134, June 2009.\r\n[14]\tB. M. Johnston, P. R. Johnston, S. Corney, and D. Kilpatrick, \u201cNon-Newtonian blood flow in human right coronary arteries: steady state simulations,\u201d Journal of Biomechanics, vol. 37, no. 5, pp. 709\u2013720, 2004.\r\n[15]\tZ. Sun, B. Mwipatayi, T. Chaichana, and C. Ng, \u201cHemodynamic effect of calcified plaque on blood flow in carotid artery disease: a preliminary study - Hemodynamic effect of calcified plaque,\u201d in Proceedings of the 3rd International Conference on Bioinformatics andBiomedical Engineering (iCBBE \u201909), pp. 1\u2013 4, June 2009.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 134, 2018"}