Study On Ultrasound Elasticity Imaging Method Based On Aqueous Gel

Among the many disease diagnosis process, tissue elasticity information is an important reference value for disease diagnosis. However, the current field of ultrasound imaging techniques cannot accurately give the biological tissue elasticity information, elastography can fill the shortage in the conventional ultrasound imaging methods to detect biological tissue elasticity information in the field. In the course of studying elastography, the most important issue is how to accurately estimate the displacement and strain in tissue. To solve this problem, the main work of this paper are:1、An elasticity imaging optimization method based on Kalman filter is proposed. In this paper, the time-domain cross-correlation algorithm is used to estimate the displacement in tissue. In order to improve the accuracy, we use RANSAC algorithm to optimize the displacement data with noise. In the process of strain estimation, a strain optimization method based on the Kalman filter is proposed. Experimental results show that the proposed method in this paper can effectively filter out the noise inside and outside the system, restore high-quality global strain field.2、Combined with the image affine transformation model, a BFGS method based on estimated displacement and strain is proposed in this paper. In order to reduce the amount of computation, this paper uses digital image correlation method to calculate tissue displacement field roughly, then creates a model for each sub-deformation displacement field, finally uses BFGS to acquire the model parameters which are the optimized value of the displacement and strain. Experimental results show that the proposed method can obtain high-quality elasticity image, and it can be used to calculate the strain and elastic modulus reconstruction, it also provides some important value for elastography study applied in clinical application.