[Measurement of Coronary Artery Angle in DSA Image]

Area of Science:

• Cardiovascular imaging
• Medical image processing
• Biomedical engineering

Background:

• Accurate anatomical measurements are crucial for diagnosing and treating cardiovascular diseases.
• Digital subtraction angiography (DSA) provides detailed visualization of coronary arteries.
• Quantifying vessel angles can offer valuable insights into arterial geometry and potential pathologies.

Purpose of the Study:

• To develop and validate an automated method for extracting coronary artery geometry from DSA images.
• To precisely determine the central line, bifurcation points, and inter-vessel angles of coronary arteries.
• To assess the accuracy of the proposed image processing technique.

Main Methods:

• Utilized Matlab software for image processing of DSA data.
• Employed the Hessian matrix for accurate extraction of the coronary artery's central line.
• Calculated vessel angles using coordinates of bifurcation points and branch vessel points.

Main Results:

• The developed method achieved high accuracy in determining the central line of coronary arteries.
• Accurate measurements of coronary artery vessel angles were obtained from randomly selected DSA images.
• The technique demonstrated reliable performance in quantifying key geometric features.

Conclusions:

• The automated method provides accurate measurements of coronary artery angles.
• Precise angle measurements can assist DSA operators in optimizing patient positioning during procedures.
• This image processing approach offers a valuable tool for researchers in cardiovascular imaging analysis.