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A Continuum Approach With Adaptive Mesh Refinement for Platelet Plug Formation
Ugo Pelissier1, Philippe Meliga1, Elie Hachem1
1Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Paris, France.
Summary
This study introduces a novel computational model for simulating platelet plug formation during hemostasis. The adaptive mesh refinement approach balances accuracy and efficiency for patient-specific thrombosis simulations.
Area of Science:
- Computational fluid dynamics
- Biomedical engineering
- Hemostasis and thrombosis research
Background:
- Platelet plug formation is vital for primary hemostasis following vascular injury.
- Accurate and efficient simulation of this process is crucial for personalized medicine.
- Current models face challenges in balancing accuracy with computational cost for patient-specific applications.
Purpose of the Study:
- To develop a continuum-based computational model for simulating platelet plug formation.
- To achieve both high accuracy and computational efficiency in simulating thrombosis.
- To enable patient-specific simulations for improved medical interventions.
Main Methods:
- Utilized a stabilized finite element method within the Variational Multiscale framework for blood flow dynamics.
- Modeled blood as a non-Newtonian fluid, including transport of platelets and agonists.
- Incorporated an extra stress term to represent the platelet plug as a rigid body influencing Navier-Stokes equations.
- Employed anisotropic mesh adaptation for high-resolution boundary representation and reduced computational cost.
Main Results:
- The model accurately simulates platelet plug formation and its effect on blood flow.
- Anisotropic mesh adaptation significantly reduces computational expense.
- Validated against 2D benchmarks and demonstrated scalability in a 3D thrombosis scenario.
- Showcased precision in simulating thrombosis under complex hemodynamic conditions.
Conclusions:
- The developed model offers a novel, accurate, and computationally feasible solution for simulating platelet plug formation.
- It effectively balances model fidelity with efficiency, particularly for patient-specific scenarios.
- This approach is a transformative tool for advancing personalized medicine in thrombosis treatment and intervention.
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