Abstract
Rigid model-based and non-rigid model-based methods are two main groups of space-domain methods of tissue motion estimation. Affine model is one of the commonly used non-rigid models. The performances of the rigid model and affine model have not been compared on ultrasound radio-frequency (RF) signals. In this study, three methods, i.e., the normalized cross-conelation method with rigid model (NCC), the optical flow method with rigid model (OFRM) and optical flow method with affine model (OFAM), are compared using ultrasound RF signals, rather than B-mode images used in previous studies. Simulations and phantom experiments are conducted to make the comparison. The results show that the affine model-based method (i.e., OFAM) obtains the lowest root-mean-square error (RAISE) or registration error among all the methods. The affine model is demonstrated to be superior to the rigid model in motion estimation based on RF signals.
Published Version
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