Method for quickly implementing ultrasonic imaging on basis of compressive sensing

Abstract

The invention discloses a method for quickly implementing ultrasonic imaging on basis of compressive sensing and mainly solves the problem that the time of computing iteration time step length by a quick iterative shrinkage/thresholding algorithm under a compressive sensing frame is slow. The method includes the steps of 1, according to a set resolution, discretizing a detection area; 2, subjecting the discretized detection area to wide-band pulse scanning to obtain an echo vector and an observation matrix; 3, establishing an ultrasonic imaging mathematic model according to the echo vector and the observation matrix; 4, determining the iteration step length by acquiring a 2-norm of a sum of module values of each row of elements in the observation matrix; 5, plugging the iteration step length into the quick iterative shrinkage/thresholding algorithm to solve scattering intensity of a reconstructed observation scenario; and 6, arranging module values of the scattering intensity into a two-dimensional matrix so as to obtain a reconstructed ultrasonic image. Compared with the traditional quick iterative shrinkage/thresholding algorithm, the method has the advantages that the time of computing the iteration step length is greatly shortened, timeliness of the ultrasonic image is improved, and the method is applicable to the field of ultrasonic real-time processing.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a fast imaging method, which can be used for B-ultrasound imaging. Background technique [0002] After more than 60 years of development, medical ultrasound imaging has the advantages of relative safety, good real-time performance, non-invasiveness, portability, and low price. Together with X-ray diagnostic technology, computer tomography CT imaging technology, and nuclear magnetic resonance imaging technology, it is called modern The four major medical imaging technologies have benefited hundreds of millions of patients. [0003] However, there are still some deficiencies in ultrasound imaging, such as low resolution, mostly at the millimeter level; severe noise interference, poor image quality; general real-time performance. [0004] In recent years, the compressed sensing theory emerging in the field of signal processing has attracted the attention of many scholars. ...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that when using a fixed step size to determine the gradient descent sequence, the reciprocal of the maximum singular value of the observation matrix Ψ is used as the iteration step size. When the dimension of the observation matrix is ​​large, the time to find the maximum singular value will be longer. It is not conducive to meeting the real-time requirements of ultrasound imaging

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