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.

Plos One
|May 19, 2025
PubMed

Insights

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.

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.