Kalman-Based Carotid-Artery Longitudinal-Kinetics Estimation and Pattern Recognition

- Carotid artery tissue motion is tracked in ultrasound image sequences.
- A Kalman filter based on the Discrete Cosine Transform controls the trajectory.
- Subjects are classified in healthy and at-risk groups using a machine learning scheme.
- The method was evaluated on 56 healthy volunteers and 57 at-risk patients.
- The method demonstrates improved motion tracking and classification results.