Improved minimum variance ultrasonic imaging method

Abstract

The invention relates to an improved minimum variance ultrasonic imaging method, belonging to the ultrasonic imaging technical field. The method comprises: performing delay processing and anterior-posterior dimension smoothing processing on sampling signals of receiving array elements to obtain sample covariance matrix estimation; performing eigenvalue decomposition on the anterior-posterior dimension covariance matrix estimation, constructing signal subspaces, and meanwhile adding a pair of constraint conditions to a direction vector by utilizing an ellipsoid covering direction vector value domain and a limitation direction vector module value; in an expected signal subspace, calculating adaptive beamforming weights based on a minimum variance criterion; and employing the adaptive beamforming weights to perform weighted summation on multi-channel data after anterior-posterior dimension smoothing processing to obtain a channel of adaptive beam signals. The method can solve the problems of image resolution, contrast and noise robustness of a present minimum variance algorithm, and improve ultrasonic imaging quality on the 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 advantages of fast imaging speed, and is 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, the grati...

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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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