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Advanced Modelling Approach of Carotid Artery Atherosclerosis

  • Smiljana DjorovicEmail author
  • Igor Saveljic
  • Nenad Filipovic
Conference paper
  • 26 Downloads
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 11)

Abstract

With a fast progression of computational methods and medical imaging techniques, the advanced simulations of carotid arteries can be approached aiming to address different medical conditions and support the clinical practice. Within this context, the main purpose of this study was to computationally model the biological and mechanical processes related to the plaque progression, as well as to predict plaque regions and mechanisms which are prone to atherosclerosis development within the carotid artery. We have focused on two patient-specific models and application of Finite Element Analysis (FEA) which together enable investigation of the parameter such as shear stress distribution, as well as mechanical response of stenotic zones. After performed the three-dimensional (3D) simulation of plaque progression, the results have shown stenoses in Internal Carotid Artery (ICA), in case of both patients. The degree of ICA stenosis is the most important predictor of cerebral infarction among patients with atherosclerosis. Therefore, its estimation is significant for further steps in medical treatment. The increased shear stress was present at the stenoses due to high blood velocities, while low shear stress was present at the carotid bifurcation, which may indicate the possibility for further plaque progression. This approach will be further improved and used for risk stratification models, by detecting the parameters of unstable and stable carotid plaques related to the risk of stroke, which is objective of our future studies.

Notes

Acknowledgments

This paper is supported by TAXINOMISIS project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 755320. This article reflects only the author’s view. The Commission is not responsible for any use that may be made of the information it contains. The research is also supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (project numbers III41007 and OI174028).

References

  1. 1.
    Sobieszczyk, P., Beckman, J.: Carotid artery disease. Circulation 114, e244–e247 (2006)CrossRefGoogle Scholar
  2. 2.
    Chaturvedi, S., Sacco, R.: How recent data have impacted the treatment of internal carotid artery stenosis. J. Am. Coll. Cardiol. 65(11), 134–143 (2015)CrossRefGoogle Scholar
  3. 3.
    Petty, G.W., Brown, R.D., Whisnant, J.P., Sicks, J.D., Michael O’Fallon, W., et al.: Ischemic stroke subtypes a population-based study of incidence and risk factors. Stroke 30, 2513–2516 (1999)CrossRefGoogle Scholar
  4. 4.
    Tomaso, G.D., Pichardo-Almarza, C., Agu, O., Díaz-Zuccarini, V.: A Multiscale and patient-specific computational framework of atherosclerosis formation and progression: a case study in the aorta and peripheral arteries. Procedia Comput. Sci. 51, 1118–1127 (2015)CrossRefGoogle Scholar
  5. 5.
    Kamenskiy, A.V., MacTaggart, J.N., Pipinos, I.I., Bikhchandani, J., Dzenis, Y.A.: Three-dimensional geometry of the human carotid artery. J. Biomech. Eng. 134(6), 0645021–0645027 (2012)CrossRefGoogle Scholar
  6. 6.
    Babu, S.J.: A survey of volumetric visualization techniques for medical images. Int. J. Res. Stud. Comput. Sci. Eng. 2(4), 34–39 (2015)Google Scholar
  7. 7.
    Kirbas, C., Quek, F.: A review of vessel extraction techniques and algorithms. ACM Comput. Surv. (CSUR) 36(2), 81–121 (2004)CrossRefGoogle Scholar
  8. 8.
    Kumar, P.K., Araki, T., Rajan, J., Laird, J.R., Nicolaides, A., Suri, J.S.: State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound. Comput. Methods Programs Biomed. 163, 155–168 (2018)CrossRefGoogle Scholar
  9. 9.
    Salem, M., et al.: Identification of patients with a histologically unstable carotid plaque using ultrasonic plaque image analysis. Eur. J. Vasc. Endovasc. Surg. 48(2), 118–125 (2014)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Milašinović, D., Ivanović, M., Tengg-Kobligk, H., Böckler, D., Filipović, N.: Software tools for generating CFD simulation models of blood flow from ct images, and for postprocessing. J. Serb. Soc. Comput. Mech. 2(2), 51–58 (2008)Google Scholar
  11. 11.
    Nematollahi, A., Shirani, E., Mirzaee, I., Sadeghi, M.R.: Numerical simulation of LDL particles mass transport in human carotid artery under steady state conditions. Scientia Iranica 19, 519–524 (2012)CrossRefGoogle Scholar
  12. 12.
    Lee, S.E., Lee, S.W., Fischer, P.F., Bassiouny, H.S., Loth, F.: Direct numerical simulation of transitional flow in a stenosed carotid bifurcation. J. Biomech. 41, 2551–2561 (2008)CrossRefGoogle Scholar
  13. 13.
    Djorovic, S., Saveljic, I., Filipovic, N.: Computational simulation of carotid artery: from patient-specific images to finite element analysis. J. Serb. Soc. Comput. Mech. 13(1), 120–129 (2019)CrossRefGoogle Scholar
  14. 14.
    Filipovic, N., Teng, Z., Radovic, M., Saveljic, I., Fotiadis, D., Parodi, O.: Computer simulation of three dimensional plaque formation and progression in the carotid artery. Med. Biol. Eng. Comput. 51(6), 607–616 (2013)CrossRefGoogle Scholar
  15. 15.
    Cilla, M., Borras, I., Pena, E., Martinez, M., Malve, M.: A parametric model for analysing atherosclerotic arteries: On the FSI coupling. Int. Commun. Heat Mass Transf. 67, 29–38 (2015)CrossRefGoogle Scholar
  16. 16.
    Xiaojuan, T., Peiyi, G., Lina, J., Yan, L., Binbin, S.: Subject-specific fully-coupled and one-way fluid-structure interaction models for modeling of carotid atherosclerotic plaques in humans. Med. Sci. Monit. 21, 279–3290 (2015)Google Scholar
  17. 17.
    Kojic, M., Filipovic, N., Stojanovic, B., Kojic, N.: Computer Modeling in Bioengineering - Theoretical Background, Examples and Software. Wiley, Chichester (2008)CrossRefGoogle Scholar
  18. 18.
    Filipovic, N., Mijailovic, S., Tsuda, A., Kojic, M.: An implicit algorithm within the arbitrary Lagrangian-Eulerian formulation for solving incompressible fluid flow with large boundary motions. Comput. Methods Appl. Mech. Eng. 195, 6347–6361 (2006)CrossRefGoogle Scholar
  19. 19.
    Filipovic, N., Saveljic, I., Nikolic, D., Milosevic, Z., Kovacevic, P., Velicki, L.: Numerical simulation of blood flow and plaque progression in carotid–carotid bypass patient specific case. Comput. Aided Surg. 20(1), 1–6 (2015)CrossRefGoogle Scholar
  20. 20.
    Djorovic, S., Saveljic, I., Filipovic, N.: Numerical analysis of plaque progression in 3D patient specific model of carotid artery. In: CMBEBIH 2019, IFMBE Proceedings, vol. 73, pp. 337–340. Springer, Banja Luka (2020)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Smiljana Djorovic
    • 1
    • 2
    Email author
  • Igor Saveljic
    • 1
    • 2
  • Nenad Filipovic
    • 1
    • 2
  1. 1.Faculty of EngineeringUniversity of Kragujevac (FINK)KragujevacSerbia
  2. 2.Bioengineering Research and Development Center (BioIRC)KragujevacSerbia

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