Double-focusing beamforming method based on self-adaptive weighting

Abstract

The invention discloses a double-focusing beamforming method based on self-adaptive weighting. An amplitude apodization technology, a virtual array element technology and a self-adaptive weighting method are introduced into an ultrasonic imaging system, and ultrasonic imaging of self-adaptive weighting double-focusing beamforming is realized by two-times delay superposition on the basis of a dynamic focusing technology. The double-focusing beamforming method comprises the following steps of: firstly, extracting effective information of a plurality of superposed sound fields by using the virtual array element technology; secondly, performing fixed-point focusing after performing amplitude apodization on the extracted information during first focusing; and finally, generating self-adaptive weighting coefficients by using a self-adaptive beamforming algorithm according to beamforming signals of the first focusing, and performing self-adaptive weighting beamforming focusing on the beamforming signals of the first focusing again so as to obtain data of finally imaged scanning lines. By the method, the shortcoming that a near-field region has severe pseudomorphism when the traditional double-focusing method based on virtual array elements is implemented is overcome, and an ultrasonic imaging effect is remarkably improved.

Description

Technical field [0001] The invention relates to the field of medical ultrasound imaging, in particular to a dual-focus beam synthesis method based on adaptive weighting. Background technique [0002] In medical ultrasound imaging, the echo signal in the direction of the non-source introduces a wide range of image clutter, resulting in a decline in image quality. At present, the traditional delay superposition method is generally used to reduce the interference of the signal in the direction of the non-source, and improve the strength of the signal in the direction of the source. This method imposes different delays on the data received by different channels, and then adds them to obtain the amplitude of the desired focus point. The single-time delay stacking algorithm is simple and easy to implement, but its anti-noise ability is weak, the spatial resolution is low, and the imaging contrast is poor. [0003] In recent years, the concept of virtual array elements and adaptive beam...

AI Technical Summary

Problems solved by technology

Because the adaptive beamforming method is only suitable for far-field, narrow-band non-correlated signals, and the characteristics of ultrasound data such as near-field, broadband and strong correlation limit the application of adaptive beamforming algorithms in medical ultrasound imaging.

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