Tissue displacement estimation method and system based on ultrasonic echo radio-frequency signals

Abstract

The invention relates to a tissue displacement estimation method and system based on ultrasonic echo radio frequency signals. The method includes a converting step, namely converting the entire-frame ultrasonic echo radio frequency signals into analytic signals; a segmenting step, namely segmenting the entire-frame analytic signals according to the preset window length and acquiring segmented window data segments; a product summary step, namely performing once no-offset product summary on the segmented window data segments corresponding to two adjacent frames and acquiring a target plurality; a phase calculating step, namely calculating the phase of the target plurality; and a corresponding displacement estimating step, namely utilizing the phase to calculate and acquire corresponding displacement between two frame signals. According to the tissue displacement estimation method based on the ultrasonic echo radio frequency signals, the entire-frame ultrasonic echo radio frequency signals are converted into the analytic signals once, calculating speed is increased greatly, the corresponding displacement between two frame signals can be acquired through once product summary, calculating amount is reduced, calculating efficiency is improved, and complexity is low.

Description

technical field [0001] The invention relates to the field of ultrasonic imaging processing, in particular to a tissue displacement estimation method and system based on ultrasonic echo radio frequency signals. Background technique [0002] Acoustic Radiation Force Impulse Imaging (ARFI) uses the acoustic radiation force generated by focused ultrasound beams within a safe power range to cause small deformations in local areas of biological tissues and form shear waves propagating laterally. Then use the ultrasonic echo tracking technology to track the tiny deformation and calculate the lateral propagation velocity of the shear wave, and finally use the elastic reconstruction algorithm to quantitatively estimate the elastic modulus of the tissue from the shear wave velocity. The acoustic radiation force pulse elastography technology has been applied in the detection of breast cancer, the diagnosis of atherosclerotic plaque, and the safety monitoring of focused ultrasound thera...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a method for estimating tissue displacement based on ultrasonic echo radio frequency signals with high computational efficiency and low complexity for the existing problems of low computational efficiency and high complexity in estimating tissue displacement

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