Ultrasonic imaging technology is one of the most direct and effective methods, which can prevent, treat cardiovascular disease, and it can make noninvasive observation and detection of cardiac motion. To calculate accurate myocardial motion parameters more directly, effectively and
accurately, speckle tracking algorithm is put forward. However, the performance of speckle tracking is directly related to the diagnosis effect of coronary disease. Compared with the speckle tracking algorithm based on optical flow algorithm, the speckle tracking algorithm based on block matching
algorithm has advantages of higher tracking accuracy and faster computation speed and better anti-interference immunity. According to the requirements of clinical application, the full search block matching algorithm whose accuracy is the highest is adopted as the basic algorithm of the speckle
tracking algorithm. In paper, In view of the shortcomings of the full search block matching algorithm, the algorithm based on calculating tracking error is proposed. The speckle tracking algorithm based on calculating tracking error has good tracking results, which shows that this algorithm
can effectively improve the applicability, stability and accuracy of tracking in different ultrasound images and multi-point tracking in the same ultrasound images.
A flexible data-interlacing architecture for full-search block-matching algorithm