Original Scientific Paper, Volume 19, Number 1, Year 2021, No 769, pp 109-113

Published: Mar 10, 2021

DOI: 10.5937/jaes0-27805

IMPROVED NUMERICAL MODEL OF THE ARTERIAL WALL APPLIED FOR SIMULATIONS OF STENT DEPLOYMENT WITHIN PATIENT-SPECIFIC CORONARY ARTERIES

Tijana Djukic 1 2
Tijana Djukic
Affiliations
Bioengineering Research and Development Center, BioIRC, Kragujevac, Serbia
University of Kragujevac, Institute for Information Technologies, Kragujevac, Serbia
Igor Saveljic 1 2
Igor Saveljic
Affiliations
Bioengineering Research and Development Center, BioIRC, Kragujevac, Serbia
University of Kragujevac, Institute for Information Technologies, Kragujevac, Serbia
Gualtiero Pelosi 3
Gualtiero Pelosi
Affiliations
Institute of Clinical Physiology, National Research Council, Pisa, Italy
Nenad Filipovic 1 4
Nenad Filipovic
Affiliations
Bioengineering Research and Development Center, BioIRC, Kragujevac, Serbia
University of Kragujevac, Faculty of Engineering, Department of Applied Mechanics and Automatic Control, Kragujevac, Serbia
Oberdan Parodi 3
Oberdan Parodi
Affiliations
Institute of Clinical Physiology, National Research Council, Pisa, Italy
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Abstract

Arterial stenosis is the obstruction of normal blood flow that is caused by atherosclerosis. One of the endovascular treatment procedures in this case is the implantation of a stent to restore the blood flow. This study presented an improved numerical model that can precisely simulate the deformation of human arterial wall in coronary arteries, during the stent deployment process. The new model considered the arterial wall as an incompressible, isotropic and hyperelastic material. The material coefficients were defined according to experimental values presented in literature. The accuracy of the numerical model was investigated by comparing the results with follow up data obtained in clinical examination. The small relative and standard deviation error prove that this numerical model can be used to assist clinicians in decision making and treatment planning with reliable predictions of the outcome of the stent deployment procedure.

Keywords

stent expansion prediction of shape deformation hyperelastic material model stress-strain relationship finite element method

Acknowledgements

The research presented in this study was part of the project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 689068 - SMARTool. 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. This work was also supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia [ID 451-03-68/2020- 14/200378].

References

1. Gijsen, F. J., Migliavacca, F., Schievano, S., Socci, L., Petrini, L., Thury, A., Wentzel, J. J., van der Steen, A. F., Serruys, P. W., Dubini, G., (2008) Simulation of stent deployment in a realistic human coronary artery, Biomedical engineering online, 7, 23.

2. Zahedmanesh, H., John Kelly, D., Lally, C., (2010) Simulation of a balloon expandable stent in a realistic coronary artery—Determination of the optimum modelling strategy, J Biomech, 43(11), 2126-32.

3. Rebelo, N., Fu, R., Lawrenchuk, M., (2009) Study of a Nitinol Stent Deployed into Anatomically Accurate Artery Geometry and Subjected to Realistic Service Loading, J. of Materi Eng and Perform, 18, 655–663.

4. Djukic, T., Saveljic, I., Pelosi, G., Parodi, O., Filipovic, N., (2019) Numerical simulation of stent deployment within patient-specific artery and its validation against clinical data, Computer Methods and Programs in Biomedicine, 175, 121-127.

5. Karimi, A., Rahmati, S. M., Sera, T., Kudo, S., Navidbakhsh, M. (2017) A combination of experimental and numerical methods to investigate the role of strain rate on the mechanical properties and collagen fiber orientations of the healthy and atherosclerotic human coronary arteries, Bioengineered, 8:2, 154-170.

6. Larrabide, I., Kim, M., Augsburger, L., Villa-Uriol, M.C., Rüfenacht, D., Frangi, A.F., (2012) Fast virtual deployment of self-expandable stents: method and in vitro evaluation for intracranial aneurysmal stenting, Med Image Anal., 16(3), 721-730.

7. Peskin, C. S., (1977) Numerical analysis of blood flow in the heart, Journal of Computational Physics, 25(3), 220-252.

8. Paliwal, N., Yu, H., Xu, J., Xiang, J., Siddiqui, A., Yang, X., Li, H., Meng, H., (2016) Virtual stenting workflow with vessel-specific initialization and adaptive expansion for neurovascular stents and flow diverters, Comput Methods Biomech Biomed Engin., 19(13), 1423-1431.

9. Kojic, M., Filipovic, N., Stojanovic, B., Kojic, N. (2008) Computer modeling in bioengineering: Thеoretical Background, Examples and Software, Chichester, England, John Wiley and Sons.

10. Karimi, A., Navidbakhsh, M., Shojaei, A., Hassani, K., Faghihi, S. (2014) Study of plaque vulnerability in coronary artery using Mooney–Rivlin model: a combination of finite element and experimental method, Biomed Eng Appl Basis Commun, 26(01), 153-160.