Rapid coronary artery stent computational simulation using the simplex deformable model.

Area of Science:

• Computational mechanics
• Biomedical engineering
• Medical imaging

Background:

• Patient-specific modeling is crucial for accurate coronary stent simulations.
• Traditional methods like finite element method (FEM) are computationally intensive.
• Need for efficient simulation techniques for personalized cardiovascular treatments.

Purpose of the Study:

• To present and validate a simplex deformable model (SDM) for patient-specific coronary artery simulations.
• To assess the computational efficiency and accuracy of the SDM compared to FEM.
• To demonstrate the feasibility of SDM in two patient-specific coronary anatomies.

Main Methods:

• Patient-specific 3D artery anatomies were converted into 2-simplex meshes.
• Normal vectors were computed for each vertex to model stent expansion and arterial wall resistance.
• Internal stent forces and external non-linear hyperelastic arterial forces were applied.

Main Results:

• SDM achieved 360-670 times faster computational time than FEM.
• SDM reduced vertex counts by 9.5-12.6 times compared to FEM.
• Bland-Altman analysis showed small mean biases and low errors in lumen diameter measurements.

Conclusions:

• The proposed SDM is a feasible and efficient method for patient-specific coronary stent simulations.
• SDM demonstrates substantial reductions in computational time and mesh size.
• SDM shows good agreement with FEM, offering a promising alternative for clinical applications.