Computational estimation of the severity of coronary lesions with intravascular ultrasound images: a pilot study

Area of Science:

• Cardiovascular Science
• Medical Imaging
• Biomedical Engineering

Background:

• Cardiovascular diseases are the leading global cause of death, necessitating accurate hemodynamic assessment.
• Current methods for assessing coronary artery function can be invasive or lack precision.
• Hemodynamic assessment is crucial for timely diagnosis and effective treatment of coronary artery disease.

Purpose of the Study:

• To introduce and validate a novel method for hemodynamic assessment of coronary arteries.
• To combine Intravascular UltraSound (IVUS) with a virtual Functional Assessment Index (vFAI) for improved accuracy.
• To compare the efficacy of 3D reconstructed models versus straight reconstructions using IVUS and angiography.

Main Methods:

• Reconstruction of a Left Anterior Descending (LAD) coronary artery segment using IVUS imaging.
• Generation of a straight model using only IVUS data.
• Creation of a 3D model incorporating IVUS and coronary angiographic images.
• Calculation of virtual Functional Assessment Index (vFAI) and Endothelial Shear Stress (ESS) for both models.

Main Results:

• vFAI values from straight and 3D models were nearly identical (0.80 vs. 0.79), with a low relative error of 1.27%.
• Endothelial Shear Stress (ESS) showed similar trends in both models but with a higher relative error of 13.49%.
• The proposed method demonstrated high efficacy in assessing hemodynamic status, particularly for vFAI.

Conclusions:

• The novel combined IVUS and vFAI method provides accurate hemodynamic assessment of coronary arteries.
• The integration of 3D geometry from angiography with IVUS improves the reliability of vFAI calculations.
• This technique holds potential for enhancing the clinical evaluation of coronary artery disease.