Computational Fluid Dynamics Blood Flow Simulation by Patient-Specific Modeling of Aortic and Coronary Outlet

Authors

Ji-Song Jong.

Faculty of Mechanical Science and Technology, Kim Chaek University of Technology, Kyogu-dong No.60, Yonggwang Street, Pyongyang 950003 (Democratic People’s Republic of Korea)

Ji-Song Thak.

Faculty of Mechanical Science and Technology, Kim Chaek University of Technology, Kyogu-dong No.60, Yonggwang Street, Pyongyang 950003 (Democratic People’s Republic of Korea)

Sung-Ri Kim.

Faculty of Mechanical Science and Technology, Kim Chaek University of Technology, Kyogu-dong No.60, Yonggwang Street, Pyongyang 950003 (Democratic People’s Republic of Korea)

Hyon-Chol Choe.

Faculty of Mechanical Science and Technology, Kim Chaek University of Technology, Kyogu-dong No.60, Yonggwang Street, Pyongyang 950003 (Democratic People’s Republic of Korea)

Kuk-Chol Song

Faculty of Mechanical Science and Technology, Kim Chaek University of Technology, Kyogu-dong No.60, Yonggwang Street, Pyongyang 950003 (Democratic People’s Republic of Korea)

Article Information

DOI: 10.51244/IJRSI.2025.1215PH000192

Subject Category: Biofluid-mechanics

Volume/Issue: 12/15 | Page No: 2561-2576

Publication Timeline

Submitted: 2025-09-27

Accepted: 2025-10-04

Published: 2025-11-20

Abstract

We develop a cardiovascular flow simulation system that performs a flow simulation analysis in patient-specific cardiovascular system and a bypass grafts suggested by a surgeon. In this simulation system, the vessels that are not reflected in the three-dimensional (3D) model of the vessel are modeled by an electrical circuit analogous model, and the simulation is carried out by combining the computational fluid dynamics (CFD) analysis of the vessel 3D model and analysis of the electrical analogous circuit. In order to evaluate the accuracy of the results by this simulation system we analyzed blood flow in cardiovascular system by ANSYS Fluent 19.2. In this paper, we study a method of setting boundary conditions for analyzing blood flow by ANSYS Fluent 19.2. We extract the patient-specific blood pressure (BP) waveforms at the aortic and coronary outlets from the electrical circuit analogous models of blood vessels such as Windkessel model and lumped parameter model. The parameter values of the analogous models are optimized to approximate the measured patient-specific systolic and diastolic pressure. By setting these blood pressure waveforms as outlet boundary conditions, we perform a simulation analysis of three-dimensional vascular model by ANSYS Fluent 19.2 and compare the results such as blood flow rates and blood pressures with clinical measurements. The comparison showed that the relative error in systolic pressure was -3.94~4.42%, diastolic pressure was -2.71~4.43%, and cardiac output was -4.76~4.8%, which demonstrated the accuracy of our boundary modeling and simulation analysis results.

Keywords

blood flow, cardiovascular, boundary modeling, CFD analysis, analogous model, electrical analogous circuit

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References

1. Aboelkassem, Y., Virag, Z., 2019. A hybrid Windkessel-Womersley model for blood flow in arteries. Journal of Theoretical Biology 462, 499-513. [Google Scholar] [Crossref]

2. Ballarin, F., Faggiano, E., Manzoni, A., Quarteroni, A., Rozza, G., Ippolito, S., Antona, C., Scorofani, R., 2017. Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts. Biomech Model Mechanobiol 16, 1373-1399. [Google Scholar] [Crossref]

3. Bertolotti, C., Deplano, V., 1999. Three-dimensional numerical simulations of flow through a stenosed a coronary bypass. Journal of Biomechanics 33, 1011-1022. [Google Scholar] [Crossref]

4. Fan, T.T., Lu, Y., Gao, Y., Meng, J., Tan, W.C., Huo, Y.L., Kassab, G.S., 2016. Hemodynamics of left internal mammary artery bypass graft: Effect of anastomotic geometry, coronary artery stenosis, and postoperative time. Journal of Biomechanics http://dx.doi.org/10.1016/j.jbiomech.2016.01.031. [Google Scholar] [Crossref]

5. Fayssal, I.A., Moukalled, F., Alam, S., Isma’eel, H., 2018. An outflow boundary condition model for noninvasive prediction of fractional flow reserve in diseased coronary arteries. Journal of Biomechanical Engineering 140, 041004-1-13. [Google Scholar] [Crossref]

6. Hazer, D., Unterhinninghofen, R., Kostrzewa, M., Kauczor, H.U., Dillmann, R., Richter, G.M., 2006. A workflow for computational fluid dynamics simulations using patient-specific aortic models. 24th CADFEM Users' Meeting 2006 International Congress on FEM Technology with 2006 German ANSYS Conference, Germany. [Google Scholar] [Crossref]

7. Horner, M., Wang, X.S., Pietila, T., George, E., 2016. RSNA 2016 Introduction to computational fluid dynamics from medical images: A step-by-step demonstration (Hands-on) Training Guide. Applied Imaging Science Lab. [Google Scholar] [Crossref]

8. Jayendiran, R., Nour, B., Ruimi, A., 2018. Computational fluid–structure interaction analysis of blood flow on patient-specific reconstructed aortic anatomy and aneurysm treatment with Dacron graft. Journal of Fluid and Structures 81, 693-711. [Google Scholar] [Crossref]

9. Kamangar, S., Badruddin, I.A., Govindaraju, K., Nik-Ghazali, N., Badarudin, A., Viswanathan, G.N., Salman Ahmed, N.J., Yunus Khan, T.M., 2017. Patient‑specifc 3D hemodynamics modelling of left coronary artery under hyperemic conditions. Med. Biol. Eng. Comput. 55, 1451-1461. [Google Scholar] [Crossref]

10. Kandail, H.S., Trivedi, S.D., Shaikh, A.C., Bajwa, T.K., O'Hair D.P., Jahangir, A., LaDisa, J.F., 2018. Impact of annular and supra-annular core valve deployment locations on aortic and coronary artery hemodynamics. Journal of the Mechanical Behavior of Biomedical Materials https://doi.org/10.1016/j.jmbbm.2018.06.032. [Google Scholar] [Crossref]

11. Vignon-Clementel, I.E., Coogan, J.S., Figueroa, C.A., Jansen, K.E., Taylor, C.A., 2010. Patient-specific modeling of blood flow and pressure in human coronary arteries. Annals of Biomedical Engineering 38(10), 3195-3209. [Google Scholar] [Crossref]

12. Vignon-Clementel, I.E., Figueroa, C.A., LaDisa, J.F., Jansen, K.E., Feinstein, J.A., Taylor, C.A., 2009. On coupling a lumped parameter heart model and a three-dimensional finite element aorta model. Annals of Biomedical Engineering 37, 2153–2169. [Google Scholar] [Crossref]

13. Ko, T.H., Ting, K., Yeh, H.C., 2007. Numerical investigation on flow fields in partially stenosed artery with complete bypass graft: An in vitro study. International Communications in Heat and Mass Transfer, 34, 713-727. [Google Scholar] [Crossref]

14. Lan, H.Z., Updegrove, A., Wilson, N.M., Maher, G.D., Shadden, S.C., Marsden, A.L., 2018. A re-engineered software interface and workflow for the open-source SimVascular cardiovascular modeling package. Journal of Biomechanical Engineering 140, 024501-1-11. [Google Scholar] [Crossref]

15. McGah, P.M., Leotta, D.F., Beach, K.W., Riley, J.J., Aliseda, A., 2011. A Longitudinal Study of Remodeling in a Revised Peripheral Artery Bypass Graft Using 3D Ultrasound Imaging and Computational Hemodynamics. Journal of Biomechanical Engineering 133, 041008-1-10. [Google Scholar] [Crossref]

16. Mirramezani, M., Diamond, S.L., Litt, H.I., Shadden, S.C., 2019. Reduced order models for transstenotic pressure drop in the coronary arteries. Journal of Biomechanical Engineering 141, 031005-1-11. [Google Scholar] [Crossref]

17. Owida, A.A., Do, H., Morsi, Y.S., 2012. Numerical analysis of coronary artery bypass grafts: An over view. Computer Methods and Programs in Biomedicine 108, 689-705. [Google Scholar] [Crossref]

18. Politis, A.K., Stavropoulos, G.P., Christolis, M.N., Panagopoulos, F.G., Vlachos, N.S., Markatos, N.C., 2007. Numerical modeling of simulated blood flow in idealized composite arterial coronary grafts: Steady state simulations. Journal of Biomechanics 40, 1125-1136. [Google Scholar] [Crossref]

19. Sankaran, S., Moghadam, M.E., Kahn, A.M., Tseng, E.E., Guccione, J.M., Marsden, A.L., 2012. Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery. Annals of Biomedical Engineering 40(10), 2228-2242. [Google Scholar] [Crossref]

20. Schiavazzi, D.E., Hsia, T.Y., Marsden, A.L., 2016. On a sparse pressure-flow rate condensation of rigid circulation models. Journal of Biomechanics 49, 2174-2186. [Google Scholar] [Crossref]

21. Segalova, P.A., Venkateswara Rao, K.T., Zarins, C.K., Taylor, C.A., 2012. Computational modeling of shear-based hemolysis caused by renal obstruction. Journal of Biomechanical Engineering 134, 021003-1-7. [Google Scholar] [Crossref]

22. Schiavazzi, D.E., Kahn, A.M., Marsden, A.L., 2020. The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls. arXiv:1908.07522v2 [physics.med-ph]. [Google Scholar] [Crossref]

23. Shaik, E., Hoffmann, K.A., Dietiker, J.F., 2008. Numerical simulations of pulsatile non-Newtonian flow in an end-to-side anastomosis model. Simulation Modelling Practice and Theory 16, 1123-1135. [Google Scholar] [Crossref]

24. Updegrove, A., Wilson, N.M., Merkow, J., Lan, H.Z., Marsden, A.L., Shadden, S.C., 2017. SimVascular: An open source pipeline for cardiovascular simulation. Annals of Biomedical Engineering 45(3), 525-541. [Google Scholar] [Crossref]

25. Vignon-Clementel, I.E., Figueroa, C.A., Jansen, K.E., Taylor, C.A., 2010. Outflow boundary conditions for 3D simulations of non-periodic blood flow and pressure fields in deformable arteries. Computer Methods in Biomechanics and Biomedical Engineering 13(5), 625-640. [Google Scholar] [Crossref]

26. Wang, W., Wang, F., 2014. Numerical simulation of coronary artery bypass graft with an assistant graft. Chinese Journals of Biomedical Engineering 23(1), 38-46. [Google Scholar] [Crossref]

27. Zambrano, B.A., McLean, N.A., Zhao, X.D., Tan, J.L., Zhong, L., Figueroa, C.A., Laa, L.C., Baek, S.I, 2017. Image-based computational assessment of vascular wall mechanics and hemodynamics in pulmonary arterial hypertension patients. Journal of Biomechanics https://doi.org/10.1016/j.jbiomech.2017.12.022. [Google Scholar] [Crossref]

28. Zhang, J.M., Zhong, L., Su, B., Wan, M., Yap, J.S., Tham, J.P.L., Chua, L.P., Ghista, D.N., Tan, R.S., 2014. Perspective on CFD studies of coronary artery disease lesions and hemodynamics: A review. International Journal for Numerical Methods in Biomedical Engineering 30, 659-680. [Google Scholar] [Crossref]

29. Zhao, X., Liu, Y.J., Li, L.L., Wang, W.X., Xie, J.S., Zhao, Z., 2016. Hemodynamics of the string phenomenon in the internal thoracic artery grafted to the left anterior descending artery with moderate stenosis. Journal of Biomechanics 49, 983-991. [Google Scholar] [Crossref]

30. Zhu, F.P., Karunanithi, K., Qian, Y., Mao, Y., Xu, B., Gu, Y.X., Zhu, W., Chen, L., Wang, Y., Pan, H.W., Liao, Y.J., Morgan, M., 2015. Assessing surgical treatment outcome following superficial temporal artery to middle cerebral artery bypass based on computational haemodynamic analysis. Journal of Biomechanics 48, 4053-4058. [Google Scholar] [Crossref]

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