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Full-Text Articles in Biomedical Engineering and Bioengineering

Blood Vessel Tissue Prestress Modeling For Vascular Fluid–Structure Interaction Simulation, Ming-Chen Hsu, Yuri Bazilevs Jun 2011

Blood Vessel Tissue Prestress Modeling For Vascular Fluid–Structure Interaction Simulation, Ming-Chen Hsu, Yuri Bazilevs

Ming-Chen Hsu

In this paper we present a new strategy for obtaining blood vessel tissue prestress for use in fluid–structure interaction (FSI) analysis of vascular blood flow. The method consists of a simple iterative procedure and is applicable to a large class of vascular geometries. The formulation of the solid problem is modified to account for the tissue prestress by employing an additive decomposition of the second Piola–Kirchhoff stress tensor. Computational results using patient-specific models of cerebral aneurysms indicate that tissue prestress plays an important role in predicting hemodynamic quantities of interest in vascular FSI simulations.


Computational Vascular Fluid–Structure Interaction: Methodology And Application To Cerebral Aneurysms, Y. Bazilevs, Ming-Chen Hsu, Y. Zhang, Z. Wang, T. Kvamsdal, S. Hentschel, J. G. Isaksen Aug 2010

Computational Vascular Fluid–Structure Interaction: Methodology And Application To Cerebral Aneurysms, Y. Bazilevs, Ming-Chen Hsu, Y. Zhang, Z. Wang, T. Kvamsdal, S. Hentschel, J. G. Isaksen

Ming-Chen Hsu

A computational vascular fluid–structure interaction framework for the simulation of patient-specific cerebral aneurysm configurations is presented. A new approach for the computation of the blood vessel tissue prestress is also described. Simulations of four patient-specific models are carried out, and quantities of hemodynamic interest such as wall shear stress and wall tension are studied to examine the relevance of fluid–structure interaction modeling when compared to the rigid arterial wall assumption. We demonstrate that flexible wall modeling plays an important role in accurate prediction of patient-specific hemodynamics. Discussion of the clinical relevance of our methods and results is provided.