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Particle Based Blood Pressure Simulation in the Aorta with the Model Generated from CT Images

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Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 873))

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Abstract

We have performed the blood pressure simulation in the aorta and the left ventricle with the model generated from CT (Computerized Tomography) data. There were some works related to the aorta; however, some simulations performed the aortic valve behavior with artificial models, and others investigated the blood flow only in the aorta with models generated from MRI (Magnetic Resonance Imaging) data. Then, we demonstrated the simulation of the blood flow and the pressure change in the aorta and the left ventricle with a model generated from CT data. In the simulation, as the blood flowed into the left ventricle through the mitral valve, the pressure in the left ventricle increased, and the aortic valve finally opened by the high pressure in the left ventricle. As the result of the simulation, we confirmed that the pressure change in the left ventricle was similar to a real data; however, the blood pressure in the aorta was lower than the real data. Therefore, in this paper, we demonstrate that the blood pressure change in the aorta becomes similar to the real data by setting some initial pressure in the aorta and forming a closed region of the aorta.

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References

  1. Hart, J.D., Peters, G.W.M., Schreurs, P.J.G., Baaijens, F.P.T.: A two-dimensional fluid-structure interaction model of the aortic value. J. Biomech. 33, 1079–1088 (2000)

    Article  Google Scholar 

  2. Hart, J.D., Peters, G.W.M., Schreurs, P.J.G., Baaijens, F.P.T.: A three-dimensional computational analysis of fluid-structure interaction in the aortic valve. J. Biomech. 36, 103–112 (2003)

    Article  Google Scholar 

  3. Cheng, R., Lai, Y.G., Chandran, K.B.: Three-dimensional fluid-structure interaction simulation of bileaflet mechanical heart valve flow dynamics. Ann. Biomed. Eng. 32, 1471–1483 (2004)

    Article  Google Scholar 

  4. Loon, R.V., Anderson, P.D., Baaijens, F.P.T., van de Vosse, F.N.: A three-dimensional fluid-structure interaction method for heart valve modelling. C. R. Mecanique 333, 856–866 (2005)

    Google Scholar 

  5. Carmody, C.J., Burriesci, G., Howard, I.C., Patterson, E.A.: An approach to the simulation of fluid-structure interaction in the aortic valve. J. Biomech. 39, 158–169 (2006)

    Article  Google Scholar 

  6. Mukai, N., Abe, Y., Chang, Y., Niki, K., Takanashi, S.: Particle based simulation of the aortic valve by considering heart’s pulsation. In: Medicine Meets Virtual Reality, pp. 285–289. IOS Press (2014)

    Google Scholar 

  7. Hsu, M.C., Kamensky, D., Bazilevs, Y., Sackes, M.S., Hughes, T.J.R.: Fluid-structure interaction analysis of bioprosthetic heart valves: significance of arterial wall deformation. Comput. Mech. 54, 1055–1071 (2014)

    Article  MathSciNet  Google Scholar 

  8. Hsu, M.C., et al.: Dynamic and fluid-structure interaction simulations of bioprosthetic heart valves using parametric design with T-splines and Fung-type material models. Comput. Mech. 55, 1211–1225 (2015)

    Article  Google Scholar 

  9. Seo, T., Jeong, S.H., Kim, D.H., Seo, D.: The blood flow simulation of human aortic arch model with major branches. In: International Conference on Biomedical Engineering and Informatics, pp. 923–926 (2011)

    Google Scholar 

  10. Wendell, D.C., et al.: Including aortic valve morphology in computational fluid dynamics simulations: initial findings and application to aortic coarctation. Med. Eng. Phys. 35, 723–735 (2013)

    Article  Google Scholar 

  11. Mukai, N., Takahashi, T., Chang, Y.: Particle-based simulation on aortic valve behavior with CG model generated from CT. VISIGRAPP 2016, 248–253 (2016)

    Google Scholar 

  12. Le, T.B., Sotiropoulos, F.: Fluid-structure interaction of an aortic heart valve prosthesis driven by an animated anatomic left ventricle. J. Comput. Phys. 244, 41–62 (2013)

    Article  MathSciNet  Google Scholar 

  13. Mukai, N., Okamoto, Y., Aoyama, K., Chang, Y.: Blood flow and pressure change simulation in the aorta with the model generated from CT data. In: SIMULTECH 2017, pp. 392–397 (2019)

    Google Scholar 

  14. Koshizuka, S.: Particle Method. Maruzen, Tokyo (2005)

    MATH  Google Scholar 

  15. Izawa, Y.: Medical Note: Cardiovascular Disease. Nishimura, Tokyo (2009)

    Google Scholar 

  16. Levick, J.R.: An Introduction to Cardiovascular Physiology. Medical Science International, Tokyo (2011)

    Google Scholar 

  17. Klabunde, R.E.: Color Atlas of Physiology, 2nd edn. Lippincott Williams & Wilkins, Baltimore (2012)

    Google Scholar 

  18. Silbernagl, S., Despopoulos, A.: Color Atlas of Physiology, 6th edn. Georg Thieme Verlag, Stuttgart (2009)

    Google Scholar 

Download references

Acknowledgements

We greatly appreciate Dr. Shuichiro Takanashi, who is a chief director of Sakakibara Heart Institute, for providing us the CT data and some useful advices. This work has also been supported by JSPS KAKENHI Grant Number 15K00176.

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Authors and Affiliations

  1. Graduate School of Engineering, Tokyo City University, Tokyo, 158-8557, Japan

    Nobuhiko Mukai, Kazuhiro Aoyama, Takuya Natsume & Youngha Chang

Authors
  1. Nobuhiko Mukai
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  2. Kazuhiro Aoyama
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  3. Takuya Natsume
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  4. Youngha Chang
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Corresponding author

Correspondence to Nobuhiko Mukai .

Editor information

Editors and Affiliations

  1. King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan

    Mohammad S. Obaidat

  2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  3. Department of Informatics, Modeling, Electronics and System Engineering, University of Calabria, Rende, Italy

    Floriano De Rango

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Mukai, N., Aoyama, K., Natsume, T., Chang, Y. (2019). Particle Based Blood Pressure Simulation in the Aorta with the Model Generated from CT Images. In: Obaidat, M., Ören, T., Rango, F. (eds) Simulation and Modeling Methodologies, Technologies and Applications . SIMULTECH 2017. Advances in Intelligent Systems and Computing, vol 873. Springer, Cham. https://doi.org/10.1007/978-3-030-01470-4_6

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