Vulnerable atherosclerotic plaque elasticity reconstruction based on a segmentation-driven optimization procedure...

Area of Science:

• Biomechanics
• Medical Imaging
• Computational Mechanics

Background:

• Vulnerable coronary plaque rupture prediction needs accurate mechanical property assessment.
• Current methods struggle with precise plaque component contour estimation.
• Young's modulus mapping from strain elastograms is a key challenge.

Purpose of the Study:

• Develop a preconditioning model for plaque morphology extraction.
• Combine dynamic segmentation with optimization for plaque modulogram highlighting.
• Improve biomechanical evaluation of atherosclerotic plaque rupture risk.

Main Methods:

• Developed a preconditioning model for plaque component contour identification.
• Employed a dynamic segmentation method integrated with an optimization procedure.
• Applied continuum mechanics principles to reconstruct strain fields.
• Validated methodology on seven intravascular ultrasound coronary lesion morphologies.

Main Results:

• Successfully reconstructed cap thickness, necrotic core area, and calcium area.
• Obtained Young's moduli for calcium, necrotic core, and fibrosis.
• Achieved mean relative errors of 12% (cap thickness), 4% (necrotic core area), 1% (calcium area), 43% (calcium Young's modulus), 32% (necrotic core Young's modulus), and 2% (fibrosis Young's modulus).

Conclusions:

• The developed methodology accurately quantifies plaque morphology and mechanical properties.
• This approach enhances the biomechanical evaluation of vulnerable coronary plaques.
• Improved plaque characterization aids in predicting rupture risk and guiding treatment.