[Motion tracking of coronary vessel segment based on active contour model]

Area of Science:

• Cardiovascular imaging
• Medical image analysis
• Biomedical engineering

Context:

• Coronary artery disease diagnosis relies on accurate visualization of vessel motion.
• Traditional methods for analyzing X-ray angiograms can be limited in precision and automation.
• Tracking vessel dynamics is crucial for understanding cardiac function and pathology.

Purpose:

• To present an novel active contour model (snake) based method for analyzing two-dimensional coronary artery motion.
• To improve the accuracy and efficiency of coronary artery motion tracking from X-ray angiogram sequences.
• To leverage previous frame results for enhanced tracking in current frames.

Summary:

• An original active contour model (snake) method is developed for analyzing coronary artery motion in X-ray angiograms.
• The method utilizes convergence results from the previous frame as the initial guess for the current frame, enhancing tracking continuity.
• An energy function incorporating intensity similarity between consecutive frames ensures accurate vessel centerline detection and tracking.

Impact:

• Demonstrates effective performance on clinical coronary artery angiogram sequences.
• Offers a promising tool for quantitative analysis of coronary artery dynamics.
• Potential to improve diagnostic capabilities in cardiovascular imaging.