Sparse projection ultrasonic CT image reconstruction method based on CS

Abstract

The invention discloses a sparse projection ultrasonic CT image reconstruction method based on CS(compressed sensing), comprising the steps of: first scanning an object for times much less than times required the Nyquist theorem to obtain the projection data in a finite direction; performing one-dimensional Fourier transform on obtained projection data based on the Fourier diffraction projection theorem to obtain the space frequency information of an object fault cross section; allowing the object to possess sparsity in a transform domain through selecting a transform radix, and constructing the inverse problem based on 11 norm optimization according to the CS principle; and finally reconstructing an object image through a conjugate iterative algorithm. The method can substantially reduce projective ultrasonic CT projection times, system control complexity, equipment data memory space, and system scanning time, and minimize artifacts caused by patient breathing clinically; through iterative solution, the method can obtain high reconstruction quality, and can be greatly applied in the medical imaging field.

Description

technical field [0001] The invention belongs to the field of medical imaging, and more particularly relates to a sparse projection ultrasonic CT image reconstruction method based on compressed sensing. Background technique [0002] With the advancement of information processing technology and processing technology, ultrasonic tomography (Computed Tomography, CT for short) has gained more and more attention. Different from traditional B-ultrasound images of human tissue structure, it can provide the distribution of acoustic parameters of human tissue such as refractive index, attenuation coefficient, and density. It is a functional imaging with high resolution and sensitivity to dense tissue. High clinical application value. In mammography, for example, it has no radiation hazards and can distinguish benign from malignant tumors compared to x-rays. Early ultrasound CT borrowed from X-CT technology, assuming that ultrasound propagates in a straight line in the human body, ig...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides a sparse projection ultrasound CT image reconstruction method based on compressed sensing. Target scanning, in order to solve the technical problems of long scanning time and high system complexity of the existing ultrasonic CT system, and at the same time improve the image quality by using iterative reconstruction

Images