Tissue Doppler imaging method and device

Abstract

The invention provides a method for organizing Doppler imaging, and the method includes the steps as follows: firstly, ultrasonic signals are sent to an object region which comprises an awaiting imaging organization, and then echo-signals returning from the object region are obtained, secondly, the Doppler estimation of Doppler signals extracted from echo-signals are carried through for obtaining parameters correlative to the motion in object region, the parameters comprise at least motion velocity and Doppler signal energy, finally, the Doppler signal energy is processed for obtaining Doppler signal energy correlative to the motion of the organization, thereby displaying the motion of the organization. The method provided by the invention puts filtering calculation behind Doppler estimation, thereby the influences on the accuracy of Doppler velocity estimation, which are caused by filtering, are eliminated, and the image quality is improved.

Description

technical field [0001] The invention relates to an ultrasonic diagnostic imaging method and device, in particular to a tissue Doppler imaging method and device. Background technique [0002] Tissue Doppler Imaging (TDI) is an ultrasonic imaging technology developed based on the principle of Doppler frequency shift to detect and analyze the movement and function of local tissues in vivo. At present, TDI technology is widely used in the clinical diagnosis of cardiomyopathy because it can make a more accurate evaluation of local tissue, especially local myocardial function. [0003] The motion information of the living heart mainly includes the flow of blood and the contraction and relaxation of the myocardium. At present, color Doppler blood flow imaging technology has been able to more accurately present the movement of blood flow in the heart. There are certain differences between myocardial motion and blood flow in motion speed and amplitude range. Blood flow signals are...

AI Technical Summary

Problems solved by technology

However, when filtering a finite input signal, the inherent transient response of the filter will distort the frequency characteristics of the input signal

In particular, when the filter order is increased in order to obtain good filter cut-off characteristics, the length of the filter transient response will increase with the increase of the filter order, causing a serious impact on the frequency characteristics of the input signal

[0009] Therefore, although the echo signal of stationary tissue can be eliminated by modifying the cut-off characteristics of the high-pass filter, the filtering process before Doppler estimation will directly affect the accuracy of Doppler velocity estimation, making tissue Doppler imaging The image quality of the velocity map is noticeably degraded

[0010] Based on the above analysis, it can be seen that the existing tissue Doppler imaging systems are difficult to achieve satisfactory image quality

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