MV (Minimum variance) wave beam formation and MV-based CF (correlation factor) fusion method

Abstract

The invention discloses an MV (minimum variance) wave beam formation and MV-based CF (correlation factor) fusion method. The method comprises the following steps of: constructing an MV constraint matrix by utilizing a direction vector corresponding to a group of maximal value output by a traditional wave beam forming device; acquiring the output of an MV wave beam formation by an MV wave beam forming algorithm, and replacing the correlation part of the CF by the output formed by the MV wave beam so as to form a CF with high resolution; and weighting the correction coefficient with high resolution and the output formed by the MV wave beam, thereby obtaining an output model formed by the wave beam finally. According to the invention, by utilizing the high resolution of MV, the correlation part of CF is replaced by the output formed by the MV wave beam so as to form the CF with high resolution, and the CF with high resolution and the output formed by the MV wave beam are subjected to weighting and fusion; and the simulation result verification of a point scattering target and a sound absorption target shows that compared with the prior art, the method provided by the invention can improve the resolution, contrast and robustness of images well.

Description

technical field [0001] The invention relates to ultrasonic imaging for diagnosis, in particular to a minimum variance beam forming method and a minimum variance coherence coefficient fusion method. Background technique [0002] Minimum variance beamforming (MV) was first proposed by Capon in 1969. Its basic idea is to minimize the power contributed by noise and any interference from non-source directions while keeping the signal power in the source direction constant . However, this beamforming method is only suitable for far-field, narrow-band non-correlated signals, while ultrasound data has the characteristics of near-field, broadband and strong correlation, which limits its application in medical ultrasound imaging. In response to these problems, Synnevag et al. adopted the spatial smoothing method, which not only removed the correlation of echo signals, but also obtained a good covariance matrix estimate [8]. Li et al. used the diagonal loading technique to improve th...

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Problems solved by technology

[0003] How to further improve the resolution and contrast has become a hot issue in the industry. However, there is no established medical ultrasound imaging method that combines minimum variance beamforming with minimum variance coherence coefficients.

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