A registration method based on ultrasound images clustering with the Gamma mixture model (UICG) is proposed to suppress the interference in the wall pulsation displacement estimation. A Gamma mixture model is used for the carotid artery B-mode ultrasound image clustering. Then, the normalized mutual information of the distant tissues is used as the similarity measure to extract interference curves. Based on the interference curves, the spatial inverse transformation of the clustering image sequence is implemented to eliminate the external interference. Finally, with the speckle tracking method, the pulsation displacement of the arterial wall is estimated from the sequence of the registered cluster images. Compared with the traditional registration algorithm, namely, the position weighted principal axis and centroid method combined with mutual information ( PCMI), simulations show that the normalized root mean square errors (NRMSEs) of the UICG-based interference estimations in X, Y, and rotation directions are reduced by 36% , 38% , and 32% , respectively. The mean NRMSE of the estimated wall displacements is decreased by 37% . The clinical trials based on the common carotid arteries of healthy subjects further evaluate the effectiveness of the UICG method. In summary, the UICG method can effectively suppress interference and thus improve the measurement accuracy of the wall displacement.