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Fluid-Structure Interaction Simulation of an Intra-Atrial Fontan Connection
Elaine Tang1, Zhenglun Alan Wei2,3, Mark A Fogel4
1School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Biology
|December 1, 2020
Summary
This study examined how wall flexibility affects intra-atrial total cavopulmonary connection (TCPC) hemodynamics. Results show that for time-averaged metrics under resting conditions, a rigid wall assumption is acceptable for computational fluid dynamics (CFD) simulations.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Medical Imaging
Background:
- Total cavopulmonary connection (TCPC) is a surgical procedure for single ventricle heart defects.
- Computational fluid dynamics (CFD) simulations often assume rigid walls for TCPC hemodynamics.
- The impact of wall compliance on intra-atrial TCPC hemodynamics remains unclear.
Purpose of the Study:
- To investigate the effect of wall compliance on intra-atrial TCPC hemodynamics.
- To compare fluid-structure interaction (FSI) simulations with rigid wall assumptions.
- To validate FSI models using patient-specific magnetic resonance imaging (MRI) data.
Main Methods:
- A patient-specific intra-atrial TCPC model was created using MRI data.
- Fluid-structure interaction (FSI) simulations were performed.
- Wall deformation from FSI was validated against in vivo phase-contrast MRI data.
- TCPC flow, power loss, and hepatic flow distribution (HFD) were compared between rigid and FSI models.
Main Results:
- FSI simulations showed differences in instantaneous pressure drop, power loss, and HFD compared to rigid wall models.
- No significant differences were observed in time-averaged hemodynamic metrics between the two simulation types.
- The FSI model's wall deformation correlated well with in vivo MRI data.
Conclusions:
- The use of a rigid wall assumption is supported for evaluating time-averaged intra-atrial TCPC hemodynamics.
- This finding simplifies CFD simulations for clinical applications under resting conditions.
- Accurate FSI modeling can be validated against patient-specific imaging data.

