IVUS-based computational modeling and planar biaxial artery material properties for human coronary plaque...

Area of Science:

• Biomedical Engineering
• Cardiovascular Research
• Computational Mechanics

Background:

• Vulnerable atherosclerotic plaques pose a risk for rupture, necessitating accurate assessment methods.
• Current in vivo patient-specific models are limited by imaging resolution, flow data, and vessel properties.

Purpose of the Study:

• To develop a comprehensive framework for enhanced plaque data acquisition and vulnerability assessment.
• To improve the accuracy of atherosclerotic plaque rupture predictions using advanced modeling.

Main Methods:

• Integration of intravascular ultrasound (IVUS) imaging with biaxial mechanical testing.
• Development of computational models incorporating fluid-structure interactions and anisotropic material properties.
• Investigation of physiological factors like blood pressure and vessel curvature on plaque mechanics.

Main Results:

• The proposed framework enables more complete plaque data acquisition.
• Accurate assessment of plaque vulnerability and rupture prediction is enhanced.
• The impact of pre-stretch, vessel curvature, and hypertension on stress, strain, and shear stress was quantified.

Conclusions:

• The combined approach offers a significant advancement in understanding and predicting atherosclerotic plaque vulnerability.
• This framework provides a more robust tool for clinical assessment and risk stratification of cardiovascular events.