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http://dx.doi.org/10.4070/kcj.2011.41.8.423

Computational Fluid Dynamics in Cardiovascular Disease  

Lee, Byoung-Kwon (Division of Cardiology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine)
Publication Information
Korean Circulation Journal / v.41, no.8, 2011 , pp. 423-430 More about this Journal
Abstract
Computational fluid dynamics (CFD) is a mechanical engineering field for analyzing fluid flow, heat transfer, and associated phenomena, using computer-based simulation. CFD is a widely adopted methodology for solving complex problems in many modern engineering fields. The merit of CFD is developing new and improved devices and system designs, and optimization is conducted on existing equipment through computational simulations, resulting in enhanced efficiency and lower operating costs. However, in the biomedical field, CFD is still emerging. The main reason why CFD in the biomedical field has lagged behind is the tremendous complexity of human body fluid behavior. Recently, CFD biomedical research is more accessible, because high performance hardware and software are easily available with advances in computer science. All CFD processes contain three main components to provide useful information, such as pre-processing, solving mathematical equations, and post-processing. Initial accurate geometric modeling and boundary conditions are essential to achieve adequate results. Medical imaging, such as ultrasound imaging, computed tomography, and magnetic resonance imaging can be used for modeling, and Doppler ultrasound, pressure wire, and non-invasive pressure measurements are used for flow velocity and pressure as a boundary condition. Many simulations and clinical results have been used to study congenital heart disease, heart failure, ventricle function, aortic disease, and carotid and intra-cranial cerebrovascular diseases. With decreasing hardware costs and rapid computing times, researchers and medical scientists may increasingly use this reliable CFD tool to deliver accurate results. A realistic, multidisciplinary approach is essential to accomplish these tasks. Indefinite collaborations between mechanical engineers and clinical and medical scientists are essential. CFD may be an important methodology to understand the pathophysiology of the development and progression of disease and for establishing and creating treatment modalities in the cardiovascular field.
Keywords
Hydrodynamics; Viscosity; Cardiovascular diseases;
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1 Versteeg HK, Malalasekera W. Introduction To Computational Fluid Dynamics. The Finite Volume Method. 1st ed. New York: Longman Scientific & Technical;1995.
2 Tu J, Yeoh GH, Liu C. Computational Fluid dynamics. A Practical Approach. 1st ed. Oxford: Elesevier;2008.
3 Fung YC. Biomechanics. New York: Springer-Verlag;1981.
4 Cho YI, Cho DJ. Hemorheology and microvascular disorders. Korean Circ J 2011;41:287-95.   DOI   ScienceOn
5 Nichols WW, O'Rouke MF. McDonald's Blood Flow in Arteries Theoretical, Experimental and Clinical Principles. 5th ed. London: Hodder Arnold;2005.
6 Lee BK, Kwon HM, Hong BK, et al. Hemodynamic effects on atherosclerosis-prone coronary artery: wall shear stress/rate distribution and impedance phase angle in coronary and aortic circulation. Yonsei Med J 2001;42:375-83.
7 Freidman MH, Deter OJ, Mar FF, Bargeron CB, Hutchins GM. Arterial geometry affects hemodynamics: a potential risk factor for atherosclerosis. Atherosclerosis 1983;46:225-31.   DOI   ScienceOn
8 Fuster V, Badimon L, Badimon J, Chesebro JH. The pathogenesis of coronary artery disease and acute coronary syndromes. N Engl J Med 1992;326:242-50.   DOI   ScienceOn
9 Lee BK, Kwon HM, Kim DS, et al. Computed numerical analysis of the biomechanical effects on coronary atherogenesis using human he-modynamic and dimensional variables. Yonsei Med J 1998;39:166-74.   DOI
10 Qiu Y, Tarbell JM. Numerical simulation of pulsatile flow in a compliant curved tube model of a coronary artery. J Biomech Eng 2000; 122:77-85.   DOI   ScienceOn
11 Ramaswamy SD, Vigmostad SC, Wahle A, et al. Fluid dynamic an-alysis in a human left anterior descending coronary artery with arterial motion. Ann Biomed Eng 2004;32:1628-41.   DOI   ScienceOn
12 Giannoglou GD, Soulis JV, Farmakis TM, Giannakoulas GA, Parcharidis GE, Louridas GE. Wall pressure gradient in normal left coronary artery tree. Med Eng Phys 2005;27:455-64.   DOI   ScienceOn
13 LaDisa JF Jr, Olson LE, Douglas HA, Warltier DO, Kersten JR, Pagel PS. Alterations in regional vascular geometry produced by theoretical stent implantation influence distributions of wall shear stress: an-alysis of a curved coronary artery using 3D computational fluid dyna-mics modeling. Biomed Eng Online 2006;16:40.
14 Papafaklis MI, Bourantas CV, Theodorakis PE, Katsouras CS, Fotiadis DI, Michalis LK. Association of endothelial shear stress with plaque thickness in a real three-dimensional left main coronary artery bifurcation model. Int J Cardiol 2007;115:276-8.   DOI   ScienceOn
15 Lee BK, Lee JY, Hong BK, et al. Hemodynamic analysis of coronary circulation in angulated coronary stenosis following stenting. Yonsei Med J 2002;43:590-600.   DOI
16 Ramaswamy SD, Vigmostad SC, Wahle A, et al. Comparison of left anterior descending coronary artery hemodynamics before and after angioplasty. J Biomech Eng 2006;128:40-8.   DOI   ScienceOn
17 Sankaranarayanan M, Chua LP, Ghista DN, Tan YS. Computational model of blood flow in the aorto-coronary bypass graft. Biomed Eng Online 2005;4:14.   DOI
18 Freshwater IJ, Morsi YS, Lai T. The effect of angle on wall shear stresses in a LIMA to LAD anastomosis: numerical modelling of pulsatile flow. Proc Inst Mech Eng H 2006;220:743-57.   DOI   ScienceOn
19 Fontan F, Baudet E. Surgical repair of tricuspid atresia. Thorax 1971;26:240-8.   DOI   ScienceOn
20 Feldt RH, Driscoll DJ, Offord KP, et al. Protein-losing enteropathy after the Fontan operation. J Thorac Cardiovasc Surg 1996;112:672-80.   DOI   ScienceOn
21 Starnes SL, Duncan BW, Kneebone JM, et al. Angiogenic proteins in the lungs of children after cavopulmonary anastomosis. J Thorac Car-diovasc Surg 2001;122:518 -23.   DOI   ScienceOn
22 Matthews IL, Fredriksen PM, Bjornstad PG, Thaulow E, Gronn M. Reduced pulmonary function in children with the Fontan circulation affects their exercise capacity. Cardiol Young 2006;16:261-7.   DOI   ScienceOn
23 Gewillig M. The Fontan circulation. Heart 2005;91:839-46.   DOI   ScienceOn
24 Cheung YF, Penny DJ, Redington AN. Serial assessment of left ventricular diastolic function after Fontan procedure. Heart 2000;83: 420-4.   DOI
25 Gerdes A, Kunze J, Pfister G, et al. Addition of a small curvature redu-ces power losses across total cavopulmonary connections. Ann Thorac Surg 1999;67:1760-4.   DOI   ScienceOn
26 Myers CD, Boyd JH, Presson RG Jr, et al. Neonatal cavopulmonary assist: pulsatile versus steady-flow pulmonary perfusion. Ann Thorac Surg 2006;81:257-63.   DOI   ScienceOn
27 Hager A, Fratz S, Schwaiger M, Lange R, Hess J, Stern H. Pulmonary blood flow patterns in patients with Fontan circulation. Ann Thorac Surg 2008;85:186-91.   DOI   ScienceOn
28 Bove EL, de Leval MR, Magliavacca F, Guadagni G, Dubini G. Computational fluid dynamics in the evaluation of hemodynamic performance of cavopulmonary connections after the Norwood procedure for hypoplastic left heart syndrome. J Thorac Cardiovasc Surg 2003;126:1040-7.   DOI   ScienceOn
29 Suh SH, Kaptan Y, Roh HW, et al. Estimation of Heart work by means of modified Windkessel model and different whole blood viscosity models. Proceedings of 7th International Conference on Computational Heat and Mass Transfer, Istanbul;2011.
30 de Zelicourt DA, Pekkan K, Parks J, Kanter K, Fogel M, Yoganathan AP. Flow study of an extracardiac connection with persistent left superior vena cava. J Thorac Cardiovasc Surg 2006;131:785-91.   DOI   ScienceOn
31 Westerhof N, Lankhaar JW, Westerhof BE. The arterial Windkessel. Med Biol Eng Comput 2009;47:131-41.   DOI   ScienceOn
32 Yilmaz Y, Gündogdu MY. A critical review on blood flow in large ar-teries: relevance to blood rheology, viscosity models and physiologic conditions. Korea-Aust Rheol J 2008;20:197-211.
33 Milner JS, Moore JA, Rutt BK, Steinman DA. Hemodynamics of human carotid artery bifurcations: computational studies with models re-constructed from magnetic resonance imaging of normal subjects. J Vasc Surg 1998;28:143-56.   DOI   ScienceOn
34 Lee SW, Antiga L, Spence JD, Steinman DA. Geometry of the carotid bifurcation predicts its exposure to disturbed flow. Stroke 2008;39: 2341-7.   DOI   ScienceOn
35 Lee SE, Lee SW, Fischer PF, Bassiouny HS, Loth F. Direct numerical simulation of transitional flow in a stenosed carotid bifurcation. J Biomech 2008;41:2551-61.   DOI   ScienceOn
36 Martin D, Zaman A, Hacker J, Mendelow D, Birchall D. Analysis of haemodynamic factors involved in carotid atherosclerosis using com-putational fluid dynamics. Br J Radiol 2009;82:S33-8.   DOI
37 Hayase H, Tokunaga K, Nakayama T, et al. Computational fluid dynamics of carotid arteries after carotid endarterectomy or carotid ar-tery stenting based on postoperative patient-specific computed tomo-graphy angiography and ultrasound flow data. Neurosurgery 2011;68:1096-101; discussion 1101.   DOI
38 LaDisa JF Jr, Bowers M, Harmann L, et al. Time-efficient patientspecific quantification of regional carotid artery fluid dynamics and spatial correlation with plaque burden. Med Phys 2010;37:784-92.   DOI   ScienceOn
39 Xue YJ, Gao PY, Duan Q, et al. Preliminary study of hemodynamic distribution in patient-specific stenotic carotid bifurcation by image-based computational fluid dynamics. Acta Radiol 2008;49:558-65.   DOI   ScienceOn
40 Hammer S, Jeays A, Allan PL, et al. Acquisition of 3-D arterial geome-tries and integration with computational fluid dynamics. Ultrasound Med Biol 2009;35:2069-83.   DOI   ScienceOn
41 Marshall I. Computational simulations and experimental studies of 3D phase-contrast imaging of fluid flow in carotid bifurcation geometries. J Magn Reson Imaging 2010;31:928-34.   DOI   ScienceOn
42 Groen HC, Simons L, van den Bouwhuijsen QJ, et al. MRI-based qu-antification of outflow boundary conditions for computational fluid dynamics of stenosed human carotid arteries. J Biomech 2010;43:2332-8.   DOI   ScienceOn
43 Frauenfelder T, Lotfey M, Boehm T, Wildermuth S. Computational fl-uid dynamics: hemodynamic changes in abdominal aortic aneurysm after stent-graft implantation. Cardiovasc Intervent Radiol 2006;29: 613-23. Erratum in: Cardiovasc Intervent Radiol 2006;29:724.   DOI   ScienceOn
44 O'Rourke MJ, McCullough JP. A comparison of the measured and pre-dicted flowfield in a patient-specific model of an abdominal aortic an-eurysm. Proc Inst Mech Eng H 2008;222:737-50.   DOI   ScienceOn
45 Suh GY, Les AS, Tenforde AS, et al. Quantification of particle resid-ence time in abdominal aortic aneurysms using magnetic resonance imaging and computational fluid dynamics. Ann Biomed Eng 2011;39:864-83.   DOI   ScienceOn
46 Filipovic N, Ivanovic M, Krstajic D, Kojic M. Hemodynamic flow mo-deling through an abdominal aorta aneurysm using data mining tools. IEEE Trans Inf Technol Biomed 2011;15:189-94.   DOI
47 Karmonik C, Bismuth J, Davies MG, Shah DJ, Younes HK, Lumsden AB. A computational fluid dynamics study pre- and post-stent graft placement in an acute type B aortic dissection. Vasc Endovascular Surg 2011;45:157-64.   DOI   ScienceOn
48 Tremmel M, Xiang J, Natarajan SK, et al. Alteration of intra-aneurysmal hemodynamics for flow diversion using enterprise and vision stents. World Neurosurg 2010;74:306-15.   DOI   ScienceOn
49 Radaelli AG, Augsburger L, Cebral JR, et al. Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm mo-del: a report on the Virtual Intracranial Stenting Challenge 2007. J Biomech 2008;41:2069-81.   DOI   ScienceOn
50 Cebral JR, Mut F, Weir J, Putman C. Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain an-eurysms. AJNR Am J Neuroradiol 2011;32:145-51.   DOI
51 Sforza DM, Lohner R, Putman C, Cebral J. Hemodynamic Analysis of intracranial aneurysms with moving parent arteries: basilar tip aneurysms. Int J Numer Methods Biomed Eng 2010;26:1219-27.   DOI   ScienceOn
52 Cebral JR, Mut F, Weir J, Putman CM. Association of hemodynamic characteristics and cerebral aneurysm rupture. AJNR Am J Neuroradiol 2011;32:264-70.   DOI