An Improved Minimum Variance Ultrasound Imaging Method

Abstract

The invention relates to an improved minimum variance ultrasonic imaging method, which belongs to the technical field of ultrasonic imaging; the method first performs delay processing and forward and backward smoothing processing on the sampling signal of the receiving array element to obtain a sample covariance matrix estimation; then the forward and backward Eigenvalue decomposition is performed on the covariance matrix estimation to construct the signal subspace. At the same time, a pair of constraints are added to the direction vector by using the ellipsoid to cover the direction vector value range and limiting the direction vector modulus; in the expected signal subspace, based on the minimum variance criterion, The adaptive beamforming weight is calculated; finally, the adaptive beamforming weight is weighted and summed to the multi-channel data that has been smoothed forward and backward, so as to obtain one adaptive beam signal; this method can solve the problem of the existing minimum variance algorithm in Issues in image resolution, contrast, and robustness to noise can improve the quality of ultrasound imaging as a whole.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic imaging and relates to an improved minimum variance ultrasonic imaging method. Background technique [0002] Ultrasound has been widely used in the field of medical diagnosis due to its advantages of non-destructive, cheap and easy to generate and control. How to improve the quality of ultrasound images is the prerequisite for accurate diagnosis of diseases, and it is also the focus of current research on ultrasound imaging algorithms. The traditional Delay and Sum (DAS) algorithm has the advantage of fast imaging speed, and is currently the most widely used beamforming algorithm in ultrasound imaging. The main principle is to apply different delays to each array element in the array according to the positional relationship between the array and the target point, and then align the received data with delays and then superimpose them. The image quality of the traditional DAS algorithm is low, ...

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Problems solved by technology

[0006] In view of this, the object of the present invention is to provide an improved minimum variance ultrasonic imaging method, which can simultaneously improve image resolution, contrast and beamforming robustness algorithms, effectively overcoming the robustness of traditional adaptive beamforming algorithms Low, can not significantly improve the image contrast and resolution and other issues, and comprehensively improve the overall quality of ultrasound images

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