Displacement detecting method and device thereof in elasticity imaging

Abstract

The invention discloses a displacement detecting method and a device thereof in elasticity imaging; the displacement detecting method comprises the following steps: acquiring a target point; acquiring the mutual-correlation phase counting position of the target point in a second frame image; counting a mutual-correlation phase according to the mutual-correlation phase counting position; counting a longitudinal displacement result according to the mutual-correlation phase; and working out a gradient for the displacement result so as to acquire a strain result. According to an elasticity imaging method and a device disclosed by the embodiment of the invention, an two paths of I / Q echo baseband signals which are down-sampled in two frames before and after compression are acquired; displacement information between two frames is detected quickly by guide-type phase estimation; an axial gradient is counted so as to obtain strain information; therefore, a strain image in relatively high quality can be acquired; in addition, counting quantity is reduced greatly; and clinical real-time demands are satisfied.

Description

technical field [0001] The invention relates to a displacement detection method and device in elastic imaging. Background technique [0002] Ultrasound elastography, as an important auxiliary method for the detection of B-mode sonograms in cancer detection, especially in the discrimination of benign and malignant breast cancer, has been rapidly applied in clinic. Ultrasound elastography mainly obtains the ultrasonic echo information of the target tissue through ultrasonic imaging, and then detects the tissue elasticity information through a specific algorithm, and displays it visually in the form of an image to assist doctors in diagnosis or treatment. [0003] The traditional ultrasonic elastography method requires the probe to slightly compress the tissue or use the human body's own breathing, vascular pulsation and other processes to obtain two successive frames of ultrasonic echo signals, and then obtain the displacement between the two frames of signals through a specif...

AI Technical Summary

Problems solved by technology

The image quality obtained by the method based on cross-correlation is good, but the amount of calculation is large, and there is a certain requirement for the echo data sampling rate; the method based on phase shift is fast to calculate, but there is a problem of phase aliasing, which is mainly suitable for the case of small displacement , and its lateral displacement is usually ignored, and the image quality is relatively poor; the method based on tissue Doppler is the easiest to implement, but it depends on the signal-to-noise ratio and processing method of the Doppler signal, and there are also The aliasing problem, and ignoring its lateral displacement, the image quality is relatively poor

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