Patient-Based Stented Coronary Artery: from OCT Image Segmentation to Computational Domain
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Cardiovascular diseases affect a substantial portion of the global population. The common treatment involving stent implantation can give rise to in-stent restenosis due to endothelial denudation and overstretch injuries, depending on the indentation of the stent into the artery wall. These effects may result in uncontrolled tissue growth and formation of obstruction to the blood flow. This study explores the application of patient-based modeling for stented arteries, focusing on virtual stent implantation. Patient-specific pre-stented OCT-data has been taken into account and replicated with a center line approach including varying radii. The methodology involves employing a beam-solid-interaction model to the patient-based artery model for virtual stent implantation. A certain pressure is applied to create a reasonable artery extension and indentation due to the stent deformation. Based on the resulting 2D surface, a mesh is created that integrates matching interfaces for the solid and fluid domains. Extrusion is then utilized to extend the model into a 3D mesh for artery representation, complemented by triangulation and meshing for lumen fluid simulation. The results of this study primarily investigate the stresses and indentations induced by stent implantation, providing a comprehensive analysis of post-stented configurations. Additionally, segmentation data is employed for a detailed comparison, enhancing the understanding of the effectiveness of the proposed methodology.
