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Updated: May 22, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

An anatomically informed computational fluid dynamics modeling approach for quantifying hemodynamics in the

Kirsten Giesbrecht¹, Simone Rossi¹, Sophie Liu¹

¹Department of Mathematics, University North Carolina, Chapel Hill, North Carolina, United States of America.

|May 19, 2025

Summary

This summary is machine-generated.

Researchers developed a new computational method to study blood flow and forces in embryonic hearts. This approach helps understand congenital heart defects by analyzing heart anatomy and fluid dynamics.

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Area of Science:

Developmental Biology
Biophysics
Computational Biology

Background:

Congenital heart defects (CHDs) affect ~1% of newborns, with unknown causes for most.
Hemodynamic forces, like wall shear stress, are vital for heart development but difficult to measure in vivo.
Lack of in vivo measurement hinders understanding of CHD origins.

Purpose of the Study:

To develop a computational pipeline for quantifying embryonic heart hemodynamics.
To enable a mechanics-based understanding of congenital heart defect origins.
To analyze anatomical variability and associated hemodynamic forces.

Main Methods:

Utilized light sheet fluorescent microscopy for 3D embryonic heart reconstruction.
Employed quantitative geometric morphometrics to assess anatomical variability.
Applied computational fluid dynamics (CFD) to calculate flow, pressure, and wall shear stress.

Main Results:

Developed a robust CFD modeling pipeline for cell-accurate embryonic heart anatomies.
Generated high-resolution, quantitative descriptions of anatomical variability.
Quantified hemodynamic forces within complex embryonic cardiac tissue architectures.

Conclusions:

The developed system provides a fast, robust, and accessible method for hemodynamic analysis.
This approach facilitates the study of mechanical factors in congenital heart development.
Offers new insights into the origins of congenital heart defects through computational modeling.