Meshless Generalized Finite Difference Method and Human Carotid Atherosclerotic Plaque Progression Simulation Using...

Area of Science:

• Biomedical Engineering
• Cardiovascular Research
• Medical Imaging Analysis

Background:

• Atherosclerotic plaque rupture is a major cause of heart attack and stroke.
• Understanding plaque progression is crucial for predicting cardiovascular events.
• Current methods lack precise, patient-specific progression modeling.

Purpose of the Study:

• To develop and validate a computational method for simulating patient-specific atherosclerotic plaque progression.
• To quantify plaque growth functions using serial magnetic resonance imaging (MRI) data.
• To enhance the accuracy of plaque vulnerability assessment.

Main Methods:

• A computational procedure utilizing the meshless generalized finite difference (MGFD) method was employed.
• Serial MRI data from patients scanned over approximately 18 months were used.
• A 2D linear elastic model simulated plaque progression, adjusting wall thickness iteratively.

Main Results:

• The computational simulation demonstrated high agreement with actual plaque geometry observed in follow-up MRI scans.
• This represents the first reported plaque progression simulation based on multi-year patient tracking data.
• The method successfully quantified patient-specific plaque growth functions.

Conclusions:

• Serial MRI-based simulation provides a valuable time dimension for plaque vulnerability assessment.
• This approach can significantly improve the prediction accuracy of potential plaque rupture risk.
• The developed computational tool offers a promising advancement in personalized cardiovascular risk management.