Using a reduced-order model to investigate the effect of the heart rate on the aortic dissection

Hamed Keramati1,2, Erik Birgersson3, Sangho Kim1,2

  • 1Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore.

Insights

Researchers developed an efficient zero-dimensional (0D) model for aortic dissection, enabling analysis of heart rate effects on blood flow. This model accurately predicts hemodynamic changes, crucial for understanding this cardiovascular disease.

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Medical Simulation

Background:

  • Three-dimensional (3D) fluid-structure interaction (FSI) simulations of aortic dissection are computationally expensive.
  • This high cost limits the investigation of heart rate's impact on hemodynamics in diseased aortas.

Purpose of the Study:

  • To develop a computationally efficient zero-dimensional (0D) model for simulating blood flow in a dissected aorta.
  • To investigate the effect of varying heart rates (50-150 bpm) on hemodynamic quantities.

Main Methods:

  • A systematic procedure was used to create a 0D model for a dissected aorta.
  • Numerical experiments determined resistance, inertance, and compliance values for each lumen.
  • The 0D model was validated against 3D FSI simulations.

Main Results:

  • The 0D model demonstrated acceptable accuracy compared to 3D FSI simulations (e.g., 7.18% relative error in true lumen flow rate).
  • Flow rate in the true lumen showed a significant dependency on heart rate (300%), while the false lumen showed minimal change (1.5%).
  • The pressure difference between lumina increased non-monotonically with faster heart rates.

Conclusions:

  • The developed 0D model is an efficient and accurate tool for analyzing hemodynamics in aortic dissection.
  • This approach facilitates uncertainty and sensitivity analyses for diseased aortas with complex geometries.
  • The model's efficiency allows for broader investigation into cardiovascular disease parameters.