Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm

Area of Science:

• Biomedical Engineering
• Computational Fluid Dynamics
• Medical Imaging Analysis

Background:

• Surgical planning for aortic aneurysm repair relies on imaging but can benefit from computational modeling.
• Numerical simulations offer noninvasive insights but are often computationally intensive and time-consuming.

Purpose of the Study:

• To present a highly parallel algorithm for simulating unsteady blood flow in patient-specific aortas.
• To accelerate the process of comparing multiple surgical repair scenarios for abdominal aortic aneurysms.

Main Methods:

• Modeling blood flow using unsteady incompressible Navier-Stokes equations.
• Solving the discretized system with a scalable domain decomposition method.
• Implementing a highly parallel algorithm for patient-specific aorta simulations.

Main Results:

• Achieved high-resolution simulations of adult aortas in under an hour, a significant improvement over traditional methods.
• Demonstrated near 70% parallel efficiency on a 2,880-processor core system.
• Successfully simulated blood flow before and after patient-specific aortic aneurysm repair.

Conclusions:

• The developed parallel algorithm drastically reduces simulation time for aortic aneurysm repair planning.
• This computational approach enhances the feasibility of using detailed blood flow analysis in clinical practice.
• The method offers a scalable and efficient solution for complex cardiovascular simulations.