Contrast-Enhanced Quantitative Intravascular Elastography: The Impact of Microvasculature on Model-Based Elastography

Area of Science:

• Biomedical Engineering
• Cardiovascular Imaging
• Medical Ultrasound

Background:

• Model-based intravascular ultrasound elastography estimates stress distribution in vascular tissue to predict atherosclerotic plaque rupture.
• Concerns exist that plaque microvasculature may reduce the accuracy of these stress estimations.

Purpose of the Study:

• To investigate the impact of plaque microvasculature on model-based elastography performance.
• To develop a contrast-enhanced intravascular ultrasound system for this investigation.

Main Methods:

• Simulations using microvessel diameters of 200, 400, and 800 μm.
• Phantom studies with a 750 μm microvessel.
• Comparison of stress recovery with and without a priori microvessel geometry information.

Main Results:

• Peak stress errors in the fibrous cap were 3% when microvessel geometry was incorporated.
• Peak stress errors reached 38% without microvessel geometry information.
• Contrast-enhanced ultrasound imaging significantly improved accuracy.

Conclusions:

• Incorporating plaque microvasculature geometry enhances the accuracy of stress distribution estimates.
• This improvement is crucial for reliable prediction of atherosclerotic plaque rupture.
• Contrast-enhanced ultrasound is a valuable tool for this application.