A Personalized Fluid-structure Interaction Modeling Paradigm for Aorta in Human Fetuses
Zhenglun Alan Wei, Guihong Chen, Biao Si, Liqun Sun, Mike Seed, and, Shuping Ge

TL;DR
This study develops and validates a personalized fluid-structure interaction model for the fetal aorta, providing new insights into fetal aortic development and offering a high-fidelity tool for fetal cardiovascular assessment.
Contribution
The paper introduces an innovative iterative FSI modeling approach for fetal aorta, incorporating Windkessel models and inverse material property estimation, validated against in vivo data.
Findings
Strong correlation (R>0.95) with in vivo velocity waveforms
Fetal aorta stiffness increases until 30 weeks then decreases
Efficient convergence within three iterations
Abstract
Fluid-structure interaction (FSI) modeling, a technique widely used to enhance imaging modalities for adult and pediatric heart diseases, has been underutilized in the context of fetal circulation because of limited data on flow conditions and material properties. Recognizing the significant impact of congenital heart diseases on the fetal aorta, our research aims to address this gap by developing and validating a personalized FSI model for the fetal aorta. Our approach involved reconstructing the anatomy and flow of the fetal aorta using fetal echocardiography and ultrasound. We developed an innovative iterative method that includes: (i) an automated process for incorporating Windkessel models at outflow boundaries when clinical data is limited because of the resolution constraints of fetal imaging, (ii) an inverse approach to estimate bulk material properties, and (iii) an FSI model…
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Taxonomy
TopicsCongenital Heart Disease Studies · Aortic Disease and Treatment Approaches · Renal and Vascular Pathologies
