Characterization of arterial plaque composition with dual energy computed tomography: a simulation study

Area of Science:

• Medical Imaging
• Cardiovascular Imaging
• Biomaterials Science

Background:

• Coronary artery disease (CAD) is a leading cause of mortality.
• Accurate characterization of coronary artery plaque composition is crucial for risk stratification.
• Current imaging modalities have limitations in quantifying plaque components.

Purpose of the Study:

• To evaluate the feasibility of quantifying coronary artery plaque composition using dual-energy computed tomography (CT).
• To assess the accuracy of dual-energy CT in determining water, lipid, protein, and calcium content in simulated plaques.
• To explore the potential of this method for improving CAD assessment.

Main Methods:

• Developed a CT simulation package based on clinical scanner parameters.
• Designed a digital thorax phantom with simulated coronary plaques (2-5 mm).
• Applied dual-energy material decomposition techniques to quantify plaque composition.

Main Results:

• Achieved low root-mean-squared errors (RMSE) for non-calcified plaque composition (e.g., water: 0.7%, lipid: 1.5%, protein: 0.3%).
• Demonstrated reasonable accuracy for calcified plaques (e.g., 5 mm plaque: water 5.6%, lipid 5.7%, calcium 0.2%, protein 3.1%).
• Observed increased RMSE with decreasing plaque size.

Conclusions:

• Dual-energy CT is a feasible method for quantifying the chemical composition of coronary artery plaques.
• Accurate plaque quantification may offer valuable insights for CAD assessment and patient risk stratification.
• Further validation in clinical settings is warranted.