Carotid Wall Motion Analysis Based on B-Mode Ultrasound Images

The aim of this study was to explore the arterial wall dynamics in an attempt to demonstrate premature atherosclerosis and arterial stiffening. Methods: A dedicated motion capture (MOCAP) framework was developed based on Matlab (R) using a cross correlation algorithm for block matching. Results: This study demonstrated that longitudinal and radial movements decreased according to age. 60 healthy carotids were assessed using our motion tracking algorithm. The subjects were divided into three age groups; group 1: subjects younger than 35, group 2: 35 to 50, group 3: subjects over 50. A unilateral t-test was employed to assess the relationship between groups. The hypothesis test showed that wall motion in group 1 was significantly different from group 2 and group 3 (p < 0.05). It was also evident that the intima-media complex demonstrated a larger longitudinal displacement than the adventitial layer. Therefore there is shear strain within the vessel wall. Conclusion: With the development of MOCAP using Matlab (R), we were able to quantify and reproduce arterial wall dynamics. We aim to implement MOCAP into the routine ultrasound examination, providing a new diagnostic parameter to improve patient management.