Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes

Seda Aslan, Xiaolong Liu, Enze Chen, Miya Mese-Jones, Bryan Gonzalez, Ryan O’Hara, Yue-Hin Loke, Yue-Hin Loke, Narutoshi Hibino, Laura Olivieri, Axel Krieger, Thao Nguyen

2024

Abstract

Computational models have been instrumental in advancing cardiovascular applications, particularly in simulating arterial behaviors for pre-surgical treatment strategies. Nonetheless, uncertainties arising from patient-specific parameters, such as arterial wall thickness and material properties, pose challenges to their precision. This study utilized finite element analysis to simulate the deformation response of the porcine pulmonary artery to a pressure change and performed a sensitivity analysis of the effects of material properties and vessel wall thickness on the deformation. The widely recognized Holzapfel-Gasser-Ogden (HGO) model was used to describe the stress-strain behavior of the arterial wall. Initially, the arterial walls were modeled as a single layer, then as separate adventitia and intima-media layers with constant thickness. The model complexity was increased by varying thickness and specific material properties of different regions in pulmonary arteries, based on ex vivo data from existing literature. For the sensitivity analysis, the HGO model parameters were adjusted within their measured variance to study their impact on deformation. The results showed that a single layer, regionally varying wall thickness is needed to reproduce the in vivo measure strain response of the cardiac cycle. The strain response was also most sensitive to variations in the thickness and isotropic shear modulus of the vessel wall. Using this knowledge, we tuned the model parameters for three porcine models until the deformation results were within 10% of the MRI-measured deformations. This study offers valuable insights to identify key model features for specimen-specific computational modeling of the pulmonary artery, thus providing a foundation for enhancing the realism of soft tissue deformation simulations.

Paper Citation

in Harvard Style

Aslan S., Liu X., Chen E., Mese-Jones M., Gonzalez B., O’Hara R., Loke Y., Hibino N., Olivieri L., Krieger A. and Nguyen T. (2024). Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS; ISBN 978-989-758-688-0, SciTePress, pages 454-461. DOI: 10.5220/0012391700003657

in Bibtex Style

@conference{bioinformatics24,
author={Seda Aslan and Xiaolong Liu and Enze Chen and Miya Mese-Jones and Bryan Gonzalez and Ryan O’Hara and Yue-Hin Loke and Narutoshi Hibino and Laura Olivieri and Axel Krieger and Thao Nguyen},
title={Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS},
year={2024},
pages={454-461},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012391700003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS
TI - Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes
SN - 978-989-758-688-0
AU - Aslan S.
AU - Liu X.
AU - Chen E.
AU - Mese-Jones M.
AU - Gonzalez B.
AU - O’Hara R.
AU - Loke Y.
AU - Hibino N.
AU - Olivieri L.
AU - Krieger A.
AU - Nguyen T.
PY - 2024
SP - 454
EP - 461
DO - 10.5220/0012391700003657
PB - SciTePress