Numerical Simulation of Blood Flows in Patient-specific Abdominal Aorta with Primary Organs

Shanlin Qin1, Rongliang Chen1,2, Bokai Wu1

  • 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Insights

This study presents a fast, parallel algorithm for simulating blood flow in the abdominal aorta and its branches. The method accurately models hemodynamics and blood distribution to vital organs, improving computational efficiency.

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Medical Imaging

Background:

  • The abdominal aorta supplies blood to vital organs via complex branching arteries.
  • Accurate simulation of blood flow is crucial for understanding organ hemodynamics but computationally expensive.
  • Existing methods often simplify arterial networks or use low-dimensional approximations.

Purpose of the Study:

  • To develop a parallel algorithm for modeling pulsatile blood flow in the abdominal aorta with visceral branches.
  • To introduce an organ-based two-level method for calculating outflow boundary conditions.
  • To enable accurate and efficient simulation of blood flow and distribution within a cardiac cycle.

Main Methods:

  • A highly parallel algorithm was developed for modeling pulsatile flows in the abdominal aorta and its branches.
  • An organ-based two-level method was used to calculate resistances for outflow boundary conditions.
  • The algorithm's scalability was tested using up to 3000 processor cores.

Main Results:

  • The parallel approach significantly reduces computational cost, allowing simulation of a cardiac cycle within hours.
  • Accurate computation of blood distribution to organs like the liver, spleen, and kidneys was achieved.
  • Hemodynamic differences due to peripheral branches were analyzed.
  • High parallel scalability was demonstrated.

Conclusions:

  • The proposed parallel algorithm offers an efficient and accurate method for simulating abdominal aorta hemodynamics.
  • This approach facilitates detailed analysis of blood flow and distribution to vital organs.
  • The method shows excellent scalability for complex cardiovascular simulations.

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