CN112702953A

CN112702953A - Shear wave elastic imaging method and device and computer storage medium

Info

Publication number: CN112702953A
Application number: CN201880097002.3A
Authority: CN
Inventors: 许梦玲; 杜宜刚; 李双双
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd; Shenzhen Mindray Scientific Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd; Shenzhen Mindray Scientific Co Ltd
Priority date: 2018-09-06
Filing date: 2018-09-06
Publication date: 2021-04-23
Also published as: WO2020047805A1

Abstract

A shear wave elastography method, an imaging apparatus and a computer program, wherein the shear wave elastography method includes: transmitting an ultrasonic beam for detecting motion disturbance to a detection target; generating a shear wave in a detection target and transmitting a probe beam for probing the shear wave to the detection target; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

Description

Shear wave elastic imaging method and device and computer storage medium

Technical Field

The embodiment of the invention relates to the technical field of image quality evaluation, in particular to a shear wave elastography method and device and a computer storage medium.

Background

The elasticity of tissue, i.e. the degree of softness and hardness of tissue, is mainly reflected by ultrasound elastography. In the prior art, in the conventional ultrasonic elastography method, namely the pressing elastography method, the defects that the repeatability and the stability of imaging cannot be ensured due to different pressing force degrees and frequencies are overcome, in contrast, shear wave elastography is realized by identifying and detecting shear waves generated inside tissues and propagation parameters thereof, these propagation parameters are then imaged to quantify and visualize the differences in stiffness between the tissues, because the shear wave elastography is generated by the ultrasonic waves emitted by the probe and does not depend on the specific pressure of an operator on tissues, the defects of the pressing type elastography can be effectively overcome, meanwhile, the quantitative measurement result of the shear wave elastography also enables the diagnosis of doctors to be more objective, thereby gradually making shear wave elastography the more used elastography method for doctors at present.

However, for the shear wave elastography technology, the signal intensity factor of the shear wave, the noise factor of the shear wave, the motion interference factors such as the movement of the probe, the respiration of the patient, the heartbeat, the blood vessel pulsation and the like all cause interference on the identification and detection of the position and the propagation of the shear wave, so that the image quality difference of the shear wave elastography is large, and the diagnosis result is influenced.

Disclosure of Invention

In order to solve the above technical problems, embodiments of the present invention are intended to provide a method and an apparatus for shear wave elastography, and a computer storage medium, which can perform image quality evaluation on the obtained shear wave elastography, and effectively improve the accuracy of a diagnosis result.

The technical scheme of the embodiment of the invention is realized as follows:

the embodiment of the invention provides a shear wave elastography method, which comprises the following steps:

transmitting an ultrasonic beam to the inspection target; wherein the ultrasound beam is used to detect motion disturbances;

generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used to probe the shear wave;

receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the probe beam;

and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

In one embodiment, further comprising displaying the intensity parameter, the signal-to-noise ratio and/or the displacement parameter.

In one embodiment, the method further comprises determining an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

In one embodiment, after determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter, the method further includes:

and displaying the image quality evaluation result.

In one embodiment, the determining an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter includes:

determining an image quality preliminary result according to the intensity parameter and the signal-to-noise ratio;

and determining the image quality evaluation result according to the image quality preliminary result and the displacement parameter.

In one embodiment, said determining an image quality preliminary result based on said intensity parameter and said signal-to-noise ratio comprises:

acquiring a first weight coefficient; wherein the first weight coefficient comprises a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio;

and obtaining the image quality preliminary result according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

In one embodiment, the determining the image quality evaluation result according to the image quality preliminary result and the displacement parameter includes:

acquiring a second weight coefficient;

inputting the second weight coefficient, the image quality preliminary result and the displacement parameter into a preset identification model to obtain an image quality evaluation result; the preset identification model is used for carrying out quantization processing on the image quality.

In one embodiment, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, and the method further includes, before inputting the second weight coefficient, the preliminary result of image quality, and the displacement parameter into a preset recognition model and obtaining the result of image quality evaluation, the method further includes:

acquiring a preset displacement threshold;

and when the displacement parameter is smaller than the preset displacement threshold value, setting the displacement weight coefficient to be zero.

In one embodiment, the obtaining the second weight coefficient includes:

determining a detection mode corresponding to the detection target;

and determining the second weight coefficient according to the corresponding relation between the pre-stored mode and the weight and the detection mode.

In one embodiment, after determining the displacement parameter corresponding to the motion disturbance according to the first echo signal, the method further includes:

acquiring a preset grade threshold;

determining a motion grade corresponding to the detection target according to the preset grade threshold and the displacement parameter;

and displaying the motion grade.

analyzing the image quality evaluation result to obtain a quality influence ratio; wherein the quality influence proportion comprises respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result;

and generating a quality influence analysis result according to the quality influence proportion.

In one embodiment, the ultrasound beam is used to detect motion disturbances, and the ultrasound beam is used to form a B-mode ultrasound image.

generating a shear wave in the detection target;

transmitting a probe beam to the detection target; wherein the probe beam is used to probe the shear wave;

receiving an echo signal corresponding to the detection wave beam;

and determining a signal quality parameter corresponding to the shear wave according to the echo signal.

In one embodiment, further comprising: and displaying the signal quality parameter.

In one embodiment, further comprising:

determining an image quality evaluation result according to the signal quality parameters; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

and displaying the image quality evaluation result.

transmitting an ultrasonic beam to a detection target; wherein the ultrasound beam is used to detect motion disturbances;

receiving an echo signal corresponding to the ultrasonic beam;

and determining a motion parameter corresponding to the motion interference according to the echo signal.

In one embodiment, further comprising displaying the motion parameter.

In one embodiment, determining an image quality evaluation result according to the motion parameters; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

and displaying the image quality evaluation result.

An embodiment of the present invention provides a shear wave imaging apparatus, including: a probe, a transmitting circuit, a receiving circuit and a processor,

the transmitting circuit stimulates the probe to transmit an ultrasonic beam to the detection target; wherein the ultrasound beam is used to detect motion disturbances; and transmitting a probe beam to the detection target; wherein the probe beam is used to probe shear waves;

the receiving circuit receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the probe beam through the probe;

and the processor determines a displacement parameter corresponding to the motion interference according to the first echo signal, and determines an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

In one embodiment, the shear wave imaging device further comprises: a display device is arranged on the base plate,

the display displays the intensity parameter, the signal-to-noise ratio, and/or the displacement parameter.

In one embodiment, the processor determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

In one embodiment, the display displays the image quality evaluation result.

In one embodiment, the processor determines a quality preliminary result based on the intensity parameter and the signal-to-noise ratio; and determining the image quality evaluation result according to the image quality preliminary result and the displacement parameter.

In one embodiment, the processor obtains a first weight coefficient; wherein the first weight coefficient comprises a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; and obtaining the image quality preliminary result according to the first weight coefficient, the intensity parameter and the signal noise.

In one embodiment, the processor obtains a second weight coefficient; inputting the second weight coefficient, the image quality preliminary result and the displacement parameter into a preset identification model to obtain an image quality evaluation result; the preset identification model is used for carrying out quantization processing on the image quality.

In one embodiment, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter,

the processor obtains a preset displacement threshold value; and when the displacement parameter is smaller than the preset displacement threshold value, setting the displacement weight coefficient to be zero.

In one embodiment, the processor determines a detection mode corresponding to the detection target; and determining the second weight coefficient according to the corresponding relation between the pre-stored mode and the weight and the detection mode.

In one embodiment, after the processor determines a displacement parameter corresponding to the motion interference according to the first echo signal, a preset level threshold is obtained; determining a motion grade corresponding to the detection target according to the preset grade threshold and the displacement parameter;

the display displays the motion level.

In one embodiment, after determining an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter, the processor analyzes the image quality evaluation result to obtain a quality influence ratio; wherein the quality influence proportion comprises respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result; and generating a quality influence analysis result according to the quality influence proportion.

In one embodiment, the transmit circuitry further excites the probe to transmit a focused beam towards the detection target; wherein the focused beam is used to generate the shear wave. The shear waves described above may also be generated in other ways such as: external mechanical vibration generation, periodic motion generation of tissue or organs, and the like.

the transmitting circuit stimulates the probe to transmit a probe beam to the detection target; wherein the probe beam is used to probe shear waves;

the receiving circuit receives echo signals corresponding to the detection beams through the probe;

and the processor determines a signal quality parameter corresponding to the shear wave according to the echo signal.

In one embodiment, the shear wave imaging device comprises: a display device is arranged on the base plate,

the display displays the signal quality parameter.

In one embodiment, the processor determines an image quality evaluation result according to the signal quality parameter; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

the display displays the image quality evaluation result.

the transmitting circuit stimulates the probe to transmit an ultrasonic beam to a detection target; wherein the ultrasound beam is used to detect motion disturbances;

the receiving circuit receives echo signals corresponding to the ultrasonic beams through the probe;

and the processor determines a motion parameter corresponding to the motion interference according to the echo signal.

the display displays the motion parameter.

In one embodiment, the processor determines an image quality evaluation result according to the motion parameter; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

the display displays the image quality evaluation result.

An embodiment of the present invention provides a computer-readable storage medium, having stored thereon a program for use in a shear wave imaging apparatus, which when executed by a processor, implements a shear wave elastography method as described above.

The embodiment of the invention provides a shear wave elastography method and a device and a computer storage medium, wherein the shear wave elastography device transmits ultrasonic beams to a detection target; wherein the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal. Therefore, according to the shear wave elastography method provided by the embodiment of the present invention, the shear wave elastography device may determine, according to the second echo signal corresponding to the probe beam, a signal quality parameter of the shear wave as follows: the intensity parameter and the signal-to-noise ratio are determined, meanwhile, the displacement parameter corresponding to the motion interference is determined according to the first echo signal corresponding to the ultrasonic beam, so that the image quality of shear wave elastography can be comprehensively identified by combining the displacement parameter and the signal quality parameter of shear wave, an image quality evaluation result is obtained, the requirement of evaluating the image quality of the shear wave elastography based on various interference factors is met, and the accuracy degree of a diagnosis result is effectively improved.

Drawings

Fig. 1 is a schematic flow chart of a shear wave elastography method according to an embodiment of the present invention;

FIG. 2 is a schematic illustration of shear wave propagation in water;

FIG. 3 is a schematic illustration of the propagation of shear waves in blood;

FIG. 4 is a first schematic diagram illustrating propagation of shear waves in tissue;

FIG. 5 is a second schematic view of the propagation of shear waves in tissue;

FIG. 6 is a third schematic view of the propagation of a shear wave in tissue;

FIG. 7 is a diagram illustrating an echo signal of a previous frame of a B image according to an embodiment of the present invention;

FIG. 8 is a diagram illustrating an echo signal of a next frame of the B image according to an embodiment of the present invention;

fig. 9 is a schematic flow chart of a second implementation of a shear wave elastography method according to an embodiment of the present invention;

fig. 10 is a schematic flow chart of a third implementation of a shear wave elastography method according to an embodiment of the present invention;

fig. 11 is a schematic flow chart of a fourth implementation of a shear wave elastography method according to an embodiment of the present invention;

fig. 12 is a schematic flow chart of an implementation of a shear wave elastography method according to an embodiment of the present invention;

FIG. 13 is a first schematic view of a motion level according to an embodiment of the present invention;

FIG. 14 is a second schematic diagram of a motion level according to an embodiment of the present invention;

fig. 15 is a schematic flow chart illustrating a sixth implementation of a shear wave elastography method according to an embodiment of the present invention;

FIG. 16 is a first schematic structural diagram of a shear wave elastography device according to an embodiment of the present invention;

fig. 17 is a schematic structural diagram of a shear wave elastography imaging device according to an embodiment of the present invention.

Detailed Description

So that the manner in which the features and aspects of the embodiments of the present invention can be understood in detail, a more particular description of the embodiments of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings.

The shear wave is a wave with the propagation direction perpendicular to the vibration direction of medium particles, and the probe emits a specific focused ultrasonic beam into a detection target to form an acoustic radiation force which is used as a bipolar shear wave source to further generate the shear wave which propagates in the transverse direction. The probe then transmits again to the tissue an acoustic beam for detecting the propagation of the shear wave and receives the echo for signal processing. By calculating displacement fields varying with time at various positions of the tissue, the propagation velocity of the shear wave at the positions can be reconstructed, and a shear wave elastic image is formed. While the shear wave elastic image is formed, the quality of the shear wave signal can be judged by utilizing echo signal analysis, and a quantized confidence level value is obtained so as to identify the quality of the current elastic image. Furthermore, the method can also judge the movement of a detection target and the movement of the probe caused by factors such as respiration and the like, grade the movement strength, judge and give an image quality evaluation result by combining signal quality, and finally display the obtained shear wave elastic image, the quantified image quality evaluation result and the movement strength grading indication at the same time.

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant application and are not limiting of the application. It should be noted that, for the convenience of description, only the parts related to the related applications are shown in the drawings.

An embodiment of the present invention provides a shear wave elastography method, and fig. 1 is a schematic flow chart of an implementation of a shear wave elastography method provided in an embodiment of the present invention, as shown in fig. 1, in an embodiment of the present invention, a shear wave elastography method performed by a shear wave elastography device may include the following steps:

step 101, emitting ultrasonic beams to a detection target; wherein the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves.

In an embodiment of the present invention, the shear wave elastography device may transmit an ultrasonic beam to the inspection target; wherein the ultrasonic beam is used for detecting the motion interference; the device can also generate shear waves in a detection target and then transmit a detection beam to the detection target; wherein the probe beam is used for detecting the shear wave. The shear wave elastography device may be a device that performs shear wave elastography on the detection target. The detection target may be a human tissue, an organ, or the like to be detected, and for example, the detection target may be a human tissue such as a thyroid gland, a breast, a liver, a muscle bone, or a blood vessel.

In an embodiment of the present invention, the ultrasonic beam is used for detecting motion disturbance, and the ultrasonic beam may be a B-mode beam, which may be used for acquiring a B-mode ultrasonic image; the shear wave may be generated by a focused beam; the probe beam may be used to detect the shear wave.

In an embodiment of the present invention, the shear wave may be used for elastic detection of the detection target.

In an embodiment of the present invention, the shear wave elastography device may be configured with a probe and a transmitting circuit, and the transmitting circuit may excite the probe to transmit a specific focused beam to the detection target, so as to form an acoustic radiation force, which serves as a bipolar shear wave source to generate a shear wave propagating in a lateral direction, thereby generating a shear wave in the detection target.

Step 102, receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam.

In an embodiment of the invention, after the shear wave elastography device emits the ultrasonic beam to the inspection target, the shear wave elastography device may receive a first echo signal corresponding to the ultrasonic beam; the shear wave elastography device generates shear waves in the detection target, transmits a probe beam to the detection target, and then receives a second echo signal corresponding to the probe beam.

In an embodiment of the present application, the shear wave elastography device transmits an ultrasonic beam to the inspection target, generates a shear wave in the inspection target, transmits a probe beam to the inspection target, and then receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the probe beam.

In an embodiment of the invention, after the shear wave elastography device transmits the ultrasonic beam to the detection target, a receiving circuit configured in the shear wave elastography device may receive the first echo signal corresponding to the ultrasonic beam through the probe.

In an embodiment of the present invention, the shear wave elastography device generates a shear wave in the detection target and transmits a probe beam to the detection target, and the shear wave elastography device may detect the shear wave by the probe beam and receive the second echo signal corresponding to the probe beam by the probe.

And 103, determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

In an embodiment of the invention, after receiving the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the probe beam, the shear wave elastography device may determine a displacement parameter corresponding to motion interference according to the first echo signal, and may determine an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

In an embodiment of the application, after receiving the second echo signal, the shear wave elastography device may perform signal processing on the second echo signal, so as to obtain an intensity parameter and the noise parameter corresponding to the shear wave, and then further determine a signal-to-noise ratio corresponding to the shear wave according to the intensity parameter and the noise parameter.

In an embodiment of the present invention, the shear wave elastography device may determine an intensity parameter corresponding to the shear wave according to the second echo signal, where the intensity parameter is used to characterize a signal intensity corresponding to the shear wave, and the shear wave elastography device may extract a noise parameter corresponding to the shear wave from the second echo signal, and determine a signal-to-noise ratio corresponding to the shear wave, that is, a ratio of an amplitude of the shear wave signal to a noise level according to the second echo signal and the noise parameter.

In the embodiment of the present invention, the imaging map of the shear wave propagation velocity or young's modulus depends on the shear wave signal, so that it is necessary to determine the quality of the shear wave signal, and specifically, the quality of the shear wave signal is mainly determined by identifying and quantifying parameters such as the strength and the signal-to-noise ratio of the shear wave signal.

Fig. 2 is a schematic diagram of the propagation of a shear wave in water, and as shown in fig. 2, the shear wave cannot propagate in a liquid, so that the signal amplitude of the shear wave in water is 0 and the noise level is (-2, 2).

Fig. 3 is a schematic diagram showing the propagation of shear waves in blood, and as shown in fig. 3, because red blood cells, plasma and other substances exist in the blood, compared with water, some shear wave signals with extremely small intensity exist in the blood, but because the signal intensity is extremely small and is generally mixed with noise, the amplitude of the shear wave signal is 4, and the noise level is (-2, 2), so that the accurate propagation velocity of the shear wave is difficult to calculate based on the signals.

FIG. 4 is a schematic diagram showing the propagation of a shear wave in tissue, where the shear wave signal is significantly stronger than the surrounding noise, as shown in FIG. 4, where the shear wave signal has an amplitude of 30 and a noise level (-2, 2).

FIG. 5 is a diagram illustrating the propagation of a shear wave through tissue, and as shown in FIG. 5, the system noise is much larger than that in FIG. 4, and therefore affects the calculation of the shear wave propagation velocity, where the shear wave signal amplitude is 30 and the noise level is (-5, 5).

Fig. 6 is a third schematic diagram of the propagation of the shear wave in the tissue, and as shown in fig. 6, compared with fig. 4, the system noise level is still (-2, 2), but the signal intensity of the shear wave decreases due to attenuation during the propagation of the shear wave, and the amplitude of the shear wave signal is 8.

In an embodiment of the present invention, the shear wave elastography device may further determine a displacement parameter corresponding to the motion disturbance according to the first echo signal.

In an embodiment of the present invention, the shear wave elastography may generate the shear wave by emitting a focused beam to the detection target, and detect a propagation velocity of the shear wave at each position corresponding to the detection target, thereby obtaining a hardness information image of the detection target. Specifically, in the embodiment of the present invention, when the shear wave elastography device detects the wave velocity of the shear wave, the shear wave elastography device may continuously transmit a probe ultrasonic beam to an imaging region corresponding to the detection target for multiple times, and obtain multi-frame echo data. For a particular location in the imaging region, these high frame rate data record the change in displacement of that location over time during shear wave propagation, and hence determine the shear wave propagation velocity at that location.

In the embodiment of the present invention, measuring the propagation velocity of the shear wave at each position is a key step in shear wave elastography, however, serious related errors may be introduced by motion interferences such as the motion of the detection target and the motion of the probe caused by respiration, heartbeat, etc., resulting in a change of an imaging plane, or a speckle pattern at the same position in an imaging region corresponding to the detection target is changed, which may result in an inaccurate measurement of the propagation velocity of the shear wave, and further reduce the image quality of the shear wave elastography.

In an embodiment of the invention, when the shear wave elastography device determines the degree of the motion interference according to the first echo signal, specifically, the absolute displacements at a plurality of preset positions in the whole area of a frame of image are respectively determined on the basis of an image obtained by the first echo signal, and then an average value corresponding to the absolute displacements at the plurality of preset positions is calculated and obtained, so that the average value corresponding to the absolute displacements at the plurality of preset positions is determined as a displacement parameter of the frame of image, and is used for evaluating the degree of the motion interference

In an embodiment of the application, when the shear wave elastography device determines the displacement parameter according to the first echo signal, the displacement parameter may be determined according to not only B images but also RF data acquired through the first echo signal, and then an average value corresponding to the absolute displacement at the plurality of preset positions is calculated, so as to determine the average value corresponding to the absolute displacement at the plurality of preset positions as the displacement parameter of the frame image. The B-mode imaging can be obtained by enveloping and logarithmically compressing the RF data acquired by the first echo signal, that is, a B-mode image is obtained.

In an embodiment of the present invention, fig. 7 is a schematic diagram of an echo signal of a previous frame of an image B in an embodiment of the present invention, as shown in fig. 7, any circle represents any data point in a detection target, each data point has a data block corresponding to the data point, and a black point represents a preset position where an absolute displacement needs to be calculated, where the data block corresponding to the preset position a is a data block 1, and for a certain specific position, for example, the preset position a, an absolute displacement of the preset position a may be determined by combining a next frame of the image of the frame. Based on fig. 7 and fig. 8, which are schematic diagrams of echo signals of a next frame of the B image in the embodiment of the present invention, as shown in fig. 8, in which fig. 7 is used as a reference frame, the shear wave elastography apparatus may first search a data block 2 that is most matched and correlated with a data block 1 in a search region in an image of the next frame by using a correlation-based method, so as to further obtain an absolute displacement d of the preset position a. Specifically, the measure of the correlation may be determined by using indexes such as a sum of absolute values of differences between data blocks in the previous frame image and the next frame image, a sum of squares of the differences, or a normalized correlation coefficient.

In an embodiment of the present invention, after determining the absolute displacements of all the preset positions, the shear wave elastography device may then calculate an average value corresponding to all the absolute displacements, so as to determine the average value corresponding to the absolute displacements of all the preset positions as the displacement parameter. For example, based on fig. 7 and 8, after the shear wave elastography device calculates and obtains the absolute displacements corresponding to all the preset positions in the B image, the shear wave elastography device performs an average operation on all the absolute displacements, and then may calculate and obtain the displacement parameter of the next frame image taking the previous frame image as the reference frame.

In an embodiment of the present invention, in the process of calculating the average value corresponding to the absolute displacements of all the preset positions, the shear wave elastography device may first eliminate some absolute displacements of the preset positions. For example, when the amplitude of the data block corresponding to a certain preset position in all the preset positions is lower than a preset amplitude threshold, it may be considered that the absolute displacement of the preset position is not accurately calculated, and therefore the absolute displacement of the preset position may be eliminated without consideration.

In an embodiment of the present application, after determining a displacement parameter corresponding to the motion disturbance and simultaneously determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave, the shear wave elastography device may display the intensity parameter, the signal-to-noise ratio, and/or the displacement parameter.

In an embodiment of the present application, after determining the displacement parameter corresponding to the motion disturbance according to the first echo signal and determining the intensity parameter and the signal-to-noise ratio corresponding to the shear wave according to the second echo signal, that is, after step 103, the method for performing shear wave elastography by the shear wave elastography device may further include the following steps:

104, determining an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

In an embodiment of the invention, after the shear wave elastography device determines the displacement parameter corresponding to the motion interference according to the first echo signal and determines the intensity parameter and the signal-to-noise ratio corresponding to the shear wave according to the second echo signal, an image quality evaluation result may be determined according to the intensity parameter, the signal-to-noise ratio and the displacement parameter.

Specifically, in an embodiment of the present invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastography corresponding to the detection target, that is, the image quality evaluation result may represent the image quality of the shear wave elastography. The image quality evaluation result may be a quantized value or a specific grade parameter.

In an embodiment of the present invention, after determining the intensity parameter and the signal-to-noise ratio, the shear wave elastography apparatus may determine a quality preliminary result corresponding to the shear wave according to the intensity parameter and the signal-to-noise ratio, and then determine the image quality evaluation result according to the image quality preliminary result and the displacement parameter. Therefore, displacement parameters caused by motion interference can be combined with a plurality of interference factors such as the signal-to-noise ratio and the intensity parameters, and image quality evaluation can be further accurately carried out on the image quality of the shear wave imaging.

In an embodiment of the present application, after determining the image quality evaluation result according to the intensity parameter, the snr, and the displacement parameter, that is, after step 104, the method for evaluating the image quality of the shear wave elastography device may further include:

and 105, displaying the image quality evaluation result.

In an embodiment of the present invention, the shear wave elastography device may display the image quality evaluation result after determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter.

In an embodiment of the present invention, after obtaining the image quality evaluation result of the shear wave elastography, the shear wave elastography apparatus may display the image quality evaluation results together with the shear wave elastography.

In the shear wave elastography method provided by the embodiment of the invention, a shear wave elastography device emits ultrasonic beams to a detection target; wherein the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal. Therefore, according to the shear wave elastography method provided by the embodiment of the present invention, the shear wave elastography device may determine, according to the second echo signal corresponding to the probe beam, a signal quality parameter of the shear wave as follows: the intensity parameter and the signal-to-noise ratio are determined, meanwhile, the displacement parameter corresponding to the motion interference is determined according to the first echo signal corresponding to the ultrasonic beam, so that the image quality of shear wave elastography can be comprehensively identified by combining the displacement parameter and the signal quality parameter of shear wave, an image quality evaluation result is obtained, the requirement of evaluating the image quality of the shear wave elastography based on various interference factors is met, and the accuracy degree of a diagnosis result is effectively improved.

In an embodiment of the present invention, fig. 9 is a schematic flow chart illustrating an implementation process of a shear wave elastography method according to an embodiment of the present invention, as shown in fig. 9, the method for determining an image quality evaluation result by the shear wave elastography device according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter may include the following steps:

and 104a, determining an image quality preliminary result according to the intensity parameters and the signal-to-noise ratio.

In an embodiment of the present invention, after determining the intensity parameter and the signal-to-noise ratio corresponding to the shear wave according to the second echo signal and the noise parameter, the shear wave elastography apparatus may determine a quality preliminary result corresponding to the shear wave elastography according to the intensity parameter and the signal-to-noise ratio. Wherein the preliminary image quality result is used for preliminary determination of image quality characterizing the effect of the shear wave signal on the shear wave elastography.

In an embodiment of the present invention, since the strength of the shear wave signal and the corresponding signal-to-noise ratio are important factors for measuring the image quality of the shear wave elastography, the shear wave elastography device may determine the preliminary result of the image quality corresponding to the shear wave according to the strength parameter and the signal-to-noise ratio. Specifically, the shear wave elastography device may assign different weight parameters to the intensity parameter and the signal-to-noise ratio to comprehensively determine the preliminary result of the image quality.

In an embodiment of the present invention, the shear wave elastography device may preset a first weight coefficient, and then further determine the preliminary image quality result according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

In an embodiment of the invention, the first weight coefficient may include a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio, where the preliminary image quality result may be a preliminary image quality of the shear wave elastography obtained through quantization after comprehensive judgment. For example, the shear wave elastography device may obtain the preliminary quality result according to equation (1):

Q＝x*A+y*SNR (1)

wherein: q is the quality preliminary result, A is the intensity parameter, SNR is the signal-to-noise ratio, and x and y are the weight values of the intensity parameter and the signal-to-noise ratio, respectively.

In an embodiment of the present invention, the shear wave elastography apparatus may identify, through the image quality preliminary result, an influence of system noise, internal variation of a detection target, and other interference on the preliminary image quality of shear wave elastography.

And step 104b, determining an image quality evaluation result according to the quality preliminary result and the displacement parameter.

In an embodiment of the invention, after the shear wave elastography device obtains the preliminary result of image quality and determines the displacement parameter corresponding to the motion disturbance according to the first echo signal, the shear wave elastography device may determine the result of image quality evaluation according to the preliminary result of image quality and the displacement parameter.

In an embodiment of the present invention, the shear wave elastography device may assign corresponding weight coefficients to the image quality preliminary result and the displacement parameter according to a detection mode corresponding to the detection target, and then determine the image quality evaluation result according to the image quality preliminary result, the displacement parameter, and the weight coefficients.

In an embodiment of the present invention, the weights corresponding to different detection modes are different, so that the shear wave elastography device may determine the detection mode first.

In an embodiment of the present invention, fig. 10 is a schematic flow chart illustrating an implementation of a shear wave elastography method according to an embodiment of the present invention; as shown in fig. 10, the method for determining the image quality evaluation result by the shear wave elastography device according to the image quality preliminary result and the displacement parameter may include the following steps:

step 201, obtaining a second weight coefficient.

In an embodiment of the present invention, the shear wave imaging apparatus may first obtain the second weight coefficient.

In an embodiment of the invention, the second weight coefficient may include a weight value corresponding to the displacement parameter and a weight value corresponding to the preliminary result of the image quality.

In an embodiment of the present invention, when the shear wave imaging device obtains the second weight coefficient, the method may specifically include:

step 201a, determining a detection mode corresponding to the detection target.

In an embodiment of the present invention, the shear wave elastography device may determine the detection mode corresponding to the detection target according to the detection target.

In an embodiment of the present invention, the detection target may have the detection mode corresponding thereto. Specifically, the shear wave elastography device can distinguish the detection targets according to different clinical application situations. For example, if the detection target is a tissue organ such as a breast or a thyroid, when shear wave elastography is performed, the influence of respiratory motion interference on an elastic image is small, and accordingly the detection mode is a mode with a small respiratory motion weight; on the other hand, if the detection target is a tissue organ such as a liver, and the like, when shear wave elastography is performed, the influence of respiratory motion interference on the elastic image is large, and accordingly, the detection mode is a mode with a large respiratory motion weight.

Step 201b, determining a second weight coefficient according to the corresponding relation between the pre-stored mode and the weight and the detection mode.

In an embodiment of the invention, after the shear wave elastography device determines the detection mode corresponding to the detection target according to the detection target, the shear wave elastography device may determine a second weight coefficient according to a correspondence relationship between a pre-stored mode and a weight and the detection mode.

In an embodiment of the present invention, the shear wave elastography device may pre-store a corresponding relationship between the pre-stored pattern and the weight, that is, different second weight coefficients may be pre-assigned to different detection patterns.

In the embodiment of the invention, for the detection target with less influence of respiratory motion interference on the elastic image, such as mammary gland and thyroid gland, the shear wave elastic imaging device can reduce the weight of the motion interference when distributing the second weight coefficient; for a detection target such as a liver, which has a large influence on an elastic image due to respiratory motion disturbance, the shear wave elastic imaging apparatus may increase the weight of the motion disturbance when assigning the second weight coefficient.

Step 202, inputting the second weight coefficient, the quality preliminary result and the displacement parameter into a preset identification model to obtain an image quality evaluation result.

In an embodiment of the invention, after the shear wave elastography device obtains the second weight coefficient, the preliminary result of image quality and the displacement parameter may be input into a preset identification model, so as to obtain the result of image quality evaluation.

In an embodiment of the present invention, after determining the second weighting factor, the shear wave elastography apparatus may combine the displacement parameter and the preliminary image quality result, that is, combine the displacement parameter, the intensity parameter and the signal-to-noise ratio, and perform overall reliability identification and calculation on the image quality of the shear wave elastography, so as to identify the image quality of the current shear wave elastography and the accuracy of the measurement result.

In an embodiment of the present invention, the shear wave elastography apparatus may preset the preset identification model, where the preset identification model is used to quantify an image quality of shear wave elastography, and the preset identification model may include a plurality of different calculation models.

In an embodiment of the present invention, the preset recognition model may be a linear model related to the displacement parameter and the preliminary result of image quality, or may be a non-linear model related to the displacement parameter and the preliminary result of image quality. For example, the preset recognition model may be a linear weighted sum calculation model for the displacement parameter and the preliminary result of image quality in formula (2),

Q _total＝a*Q+b*D (2)

wherein Q is_totalIn the embodiment of the present invention, D is a displacement parameter, Q is a quality preliminary result, and a and b are second weight coefficients corresponding to the quality preliminary result and the displacement parameter, respectively, wherein the larger the displacement parameter is, the worse the corresponding image quality will be, and therefore, the displacement weight coefficient b may be a negative value.

In the embodiment of the present invention, the preset identification model may be a nonlinear model in addition to the linear model as in the above formula (2), for example, the displacement parameter D may be thresholded, that is, when D is lower than the preset displacement threshold, the displacement weight coefficient b is set to 0.

In the embodiment of the present invention, the above formula (1) and the above formula (2) merely represent a manner of linearly combining the three factors of the signal-to-noise ratio, the intensity parameter, and the displacement parameter, and in the embodiment of the present invention, other nonlinear combination manners may be present. Specifically, the shear wave elastography device may perform threshold processing, secondary processing or logarithmic processing on the factors such as the signal-to-noise ratio, the intensity parameter and the displacement parameter, for example, the integration manner of the image quality preliminary result and the displacement parameter may also adopt a calculation model as formula (3):

Q _total＝(1-c*D/D _max)*Q (3)

wherein Q is_totalAs the result of image quality evaluation, D is the displacement parameter, Q is the preliminary result of quality, D_maxRepresenting a preset displacement maximum threshold value, and c is a second weight coefficient. As can be seen from the above equation (3), the larger the displacement parameter D isLarge, image quality evaluation result Q_totalThe lower.

In the shear wave elastography method provided by the embodiment of the invention, a shear wave elastography device emits ultrasonic beams to a detection target; wherein the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal. Therefore, according to the shear wave elastography method provided by the embodiment of the invention, the shear wave elastography device can determine the displacement parameter corresponding to the motion interference according to the intensity parameter and the signal-to-noise ratio of the shear wave of the second echo signal corresponding to the detection beam and the first echo signal corresponding to the ultrasonic beam, so that the image quality of the shear wave elastography can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and an image quality evaluation result is obtained, thereby meeting the requirement of evaluating the image quality of the shear wave elastography based on various interference factors, and further effectively improving the accuracy degree of the diagnosis result.

In an embodiment of the present invention, fig. 11 is a schematic flow chart illustrating an implementation flow of a shear wave elastography method according to an embodiment of the present invention, as shown in fig. 11, where the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, and the shear wave elastography device inputs the second weight coefficient, the preliminary image quality result, and the displacement parameter into a preset identification model, and before obtaining the image quality evaluation result, that is, before step 202, the method for evaluating image quality by the shear wave elastography device may further include the following steps:

and step 203, acquiring a preset displacement threshold.

In an embodiment of the invention, the shear wave elastography device may obtain the preset displacement threshold before inputting the second weight coefficient, the preliminary result of image quality and the displacement parameter into the preset recognition model to obtain the result of image quality evaluation.

In an embodiment of the present invention, the second weight coefficient may include a displacement weight coefficient corresponding to the displacement parameter.

In an embodiment of the present invention, the preset displacement threshold may be used to eliminate the displacement parameter. Specifically, in an embodiment of the present invention, before the shear wave elastography device performs the calculation of the image quality evaluation result according to the preset identification model, a thresholding process may be performed on the displacement parameter, that is, when the displacement parameter is lower than the preset displacement threshold, the displacement parameter may be considered to be inaccurate, and therefore, the influence of the displacement parameter on the image quality of the shear wave imaging may be ignored.

And 204, when the displacement parameter is smaller than a preset displacement threshold, setting the displacement weight coefficient to be zero.

In an embodiment of the invention, after the shear wave elastography device obtains the preset displacement threshold, if the displacement parameter is smaller than the preset displacement threshold, the displacement weight coefficient may be set to zero.

In an embodiment of the present invention, after the shear wave elastography device obtains the preset displacement threshold, the preset displacement threshold may be compared with the displacement parameter, and when the displacement parameter is smaller than the preset displacement threshold, the shear wave elastography device may consider that the displacement parameter has a small influence on the image quality of the shear wave imaging, that is, the influence of the displacement parameter may be ignored, and then the image quality evaluation parameter may set the displacement weight coefficient to zero.

In an embodiment of the present invention, fig. 12 is a schematic flow chart illustrating an implementation process of a shear wave elastography method provided in an embodiment of the present invention, as shown in fig. 12, after the shear wave elastography device determines a displacement parameter corresponding to a motion disturbance according to a first echo signal, the method for performing image quality evaluation by the shear wave elastography device may further include the following steps:

and 301, acquiring a preset grade threshold.

In an embodiment of the invention, after determining the displacement parameter corresponding to the motion disturbance according to the first echo signal, the shear wave elastography device may first obtain a preset level threshold, where the preset level threshold is used for the shear wave elastography device to classify a motion level of the displacement parameter.

It should be noted that, in an embodiment of the present invention, the shear wave elastography device may preset the preset level threshold, and specifically, the preset level threshold may be at least one displacement threshold range, so that the displacement parameters may be graded according to the preset level threshold.

In an embodiment of the present invention, the shear wave elastography device may determine the magnitude of the motion disturbance according to the displacement parameter, that is, the larger the displacement parameter is, the stronger the motion degree of the detection target or the probe is represented, and correspondingly, the smaller the displacement parameter is, the weaker the motion degree of the detection target or the probe is represented. Therefore, the shear wave elastography device may set the preset level threshold for classifying the movement strength of the detection target according to the displacement parameter.

And step 302, determining a motion grade corresponding to the detection target according to a preset grade threshold and the displacement parameter.

In an embodiment of the present invention, after the shear wave elastography device obtains a preset level threshold, the motion level corresponding to the detection target may be determined according to the preset level threshold and the displacement parameter.

In an embodiment of the present invention, after obtaining the preset level threshold, the shear wave elastography device may compare the displacement parameter with the preset level threshold, so as to determine which level range of the preset level threshold the displacement parameter belongs to, and further determine the level of the displacement parameter, that is, determine the motion level representing the motion degree of the detection target.

And step 303, displaying the motion grade.

In an embodiment of the present invention, after determining the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter, the shear wave elastography device may display the motion level.

In an embodiment of the present invention, after obtaining the motion level corresponding to the detection target, the shear wave elastography device may display the motion level on a display screen of the shear wave elastography device, so as to help a doctor judge a respiratory state of a patient, and further may collect an elastography image when determining a breath hold of the patient.

In the embodiment of the present invention, there are many display manners of the shear wave elastography device for the motion level, and specifically, in the embodiment of the present invention, the display contents of the shear wave elastography device for the motion level include, but are not limited to, the number of gradations, the shape, color, size, arrangement manner of gradation display blocks, and the position of a display area in a display screen.

In an embodiment of the present invention, fig. 13 is a first schematic diagram of a movement level in an embodiment of the present invention, fig. 14 is a second schematic diagram of a movement level in an embodiment of the present invention, as shown in fig. 13 and fig. 14, the movement level may be divided into five levels according to the movement intensity, and the movement intensity is represented by colors with different depths, so that a doctor can adopt a drawing in a section of continuous light-colored dynamic display process, and does not adopt a drawing in a dark color.

In the embodiment of the present invention, the motion of the detection target caused by breathing, heartbeat, and the like, and the motion caused by the probe manipulation can be determined and measured by the motion level.

In the shear wave elastography method provided by the embodiment of the invention, a shear wave elastography device emits ultrasonic beams to a detection target; wherein the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal. Therefore, according to the shear wave elastography method provided by the embodiment of the invention, the shear wave elastography device can determine the intensity parameter and the signal-to-noise ratio of the shear wave according to the second echo signal corresponding to the detection beam, and simultaneously determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam, so that the image quality of the shear wave elastography can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and the image quality evaluation result is obtained, thereby meeting the requirement of evaluating the image quality of the shear wave elastography based on various interference factors, and further effectively improving the accuracy degree of the diagnosis result.

In an embodiment of the present invention, fig. 15 is a schematic flow chart illustrating a sixth implementation flow of a shear wave elastography method according to an embodiment of the present invention, as shown in fig. 15, after the shear wave elastography device determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter, that is, after step 104, the method for performing image quality evaluation by the shear wave elastography device may further include the following steps:

and 106, analyzing the image quality evaluation result to obtain a quality influence ratio.

In an embodiment of the present invention, after the shear wave elastography device determines the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter, the shear wave elastography device may analyze the image quality evaluation result, so as to obtain a quality influence ratio.

In an embodiment of the present invention, the quality influence ratio may include a ratio of the intensity parameter to the image quality evaluation result, a ratio of the signal-to-noise ratio to the image quality evaluation result, and a ratio of the displacement parameter to the image quality evaluation result.

In an embodiment of the present invention, the shear wave elastography device may analyze and calculate the quality influence ratio according to the preliminary image quality result, the displacement parameter, and the image quality evaluation result.

And step 107, generating a quality influence analysis result according to the quality influence proportion.

In an embodiment of the present invention, after the shear wave elastography device analyzes the image quality evaluation result and obtains the quality influence ratio, a quality influence analysis result may be generated according to the quality influence ratio.

In an embodiment of the present invention, the shear wave elastography device may specifically generate a quality influence analysis result according to the quality influence ratio and the detection mode.

In an embodiment of the present invention, the shear wave elastography device may provide the quality influence analysis result to a doctor, so that the doctor can obtain a primary factor and a secondary factor influencing image quality, and further, the doctor can pay more attention during examination, and a problem of reliability reduction, that is, quality reduction of a shear wave imaging image is solved first. For example, when the liver is examined, the respiratory interference is large, and the shear wave elastography device may automatically derive the quality impact analysis result as 60% of the motion interference, 30% of the signal-to-noise ratio and 10% of the signal intensity. When the neck is inspected, the shear wave elastic imaging device can automatically derive the quality influence analysis result as 10% of motion interference, 40% of signal-to-noise ratio influence and 50% of signal intensity influence.

The shear wave elastography method provided by the embodiment of the invention can further comprise the following steps:

step 401, generating shear waves in the detection target.

Step 402, emitting a detection beam to the detection target; wherein the probe beam is used to probe the shear wave.

In an embodiment of the present invention, a shear wave elastography device generates a shear wave in a detection target, and the shear wave elastography device may further transmit a probe beam to the detection target; wherein the probe beam is used for detecting the shear wave. The shear wave elastography device may be a device that performs shear wave elastography on the detection target. The detection target may be a human tissue, an organ, or the like to be detected, and for example, the detection target may be a human tissue such as a thyroid gland, a breast, a liver, a muscle bone, or a blood vessel.

In an embodiment of the present invention, the shear wave is used for elastic detection of the detection target.

And 403, receiving an echo signal corresponding to the detection beam.

And step 404, determining a signal quality parameter corresponding to the shear wave according to the echo signal.

In an embodiment of the present invention, after the shear wave elastography device generates a shear wave in the detection target and transmits a probe beam to the detection target, the shear wave elastography device may detect the shear wave by the probe beam and receive the echo signal corresponding to the probe beam.

In an embodiment of the present application, after receiving the echo signal, the shear wave elastography device may perform signal processing on the echo signal, so as to obtain a signal quality parameter corresponding to the shear wave. Wherein. The signal quality parameter corresponding to the shear wave may include an intensity parameter and a noise parameter, and then a signal-to-noise ratio corresponding to the shear wave may be further determined according to the intensity parameter and the noise parameter.

In an embodiment of the present invention, after determining the signal quality parameter corresponding to the shear wave, the shear wave elastography device may display the signal quality parameter.

In an embodiment of the present invention, after the shear wave elastography device determines the signal quality parameter corresponding to the shear wave, that is, after step 404, the shear wave elastography method proposed by the present invention may further include the following steps:

step 405, determining an image quality evaluation result according to the signal quality parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

And step 406, displaying the image quality evaluation result.

In an embodiment of the present invention, after determining the signal quality parameter corresponding to the shear wave, the shear wave elastography device may determine an image quality evaluation result according to the signal quality parameter.

In an embodiment of the present invention, the shear wave elastography device may display the image quality evaluation result after determining the image quality evaluation result.

step 501, emitting ultrasonic beams to a detection target; wherein the ultrasound beam is used to detect motion disturbances.

In an embodiment of the present invention, the shear wave elastography device emits an ultrasonic beam to the inspection target; wherein the ultrasonic beam is used for detecting the motion interference; the shear wave elastography device may be a device that performs shear wave elastography on the detection target. The detection target may be a human tissue, an organ, or the like to be detected, and for example, the detection target may be a human tissue such as a thyroid gland, a breast, a liver, a muscle bone, or a blood vessel.

Step 502, receiving an echo signal corresponding to the ultrasonic beam.

In an embodiment of the present invention, the shear wave elastography device may receive an echo signal corresponding to an ultrasonic beam after transmitting the ultrasonic beam to the inspection target.

In an embodiment of the present invention, after the shear wave elastography device transmits the ultrasonic beam to the detection target, a receiving circuit configured in the shear wave elastography device may receive the echo signal corresponding to the ultrasonic beam through a probe.

And 503, determining a motion parameter corresponding to the motion interference according to the echo signal.

In an embodiment of the present invention, after receiving the echo signal corresponding to the ultrasonic beam, the shear wave elastography device may determine a motion parameter corresponding to a motion disturbance according to the echo signal, where the motion parameter may be a displacement parameter corresponding to the motion disturbance.

In an embodiment of the present invention, after determining the motion parameter corresponding to the motion disturbance, the shear wave elastography device may display the motion parameter.

In an embodiment of the present invention, after the shear wave elastography device determines the motion parameter corresponding to the motion disturbance according to the echo signal, that is, after step 503, the shear wave elastography method provided by the present invention may further include the following steps:

step 504, determining an image quality evaluation result according to the motion parameters; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

And step 505, displaying the image quality evaluation result.

In an embodiment of the present invention, after determining a motion parameter corresponding to the motion disturbance according to the echo signal, the shear wave elastography device may determine an image quality evaluation result according to the motion parameter.

In an embodiment of the invention, after determining the motion parameter corresponding to the motion disturbance, the shear wave elastography device may further determine and display an image quality evaluation result according to the motion parameter.

In an embodiment of the present invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastography corresponding to the detection target, that is, the image quality evaluation result may represent the image quality of the shear wave elastography. The image quality evaluation result may be a quantized value or a specific grade parameter.

Fig. 16 is a schematic diagram illustrating a first structural configuration of a shear wave elastography device according to an embodiment of the present invention, and as shown in fig. 16, the shear wave elastography device 1 according to an embodiment of the present invention may include a probe 11, a transmitting circuit 12, a receiving circuit 13, a processor 14, and a display 15.

A transmission circuit 12 excites the probe to transmit an ultrasonic beam to the detection target; wherein the ultrasound beam is used to detect motion disturbances; and transmitting a probe beam to the detection target; wherein the probe beam is used to probe the shear wave.

The receiving circuit 13 receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the probe beam through the probe.

The processor 14 determines a displacement parameter corresponding to the motion disturbance according to the first echo signal, and determines an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

The display 15 displays the intensity parameter, the signal-to-noise ratio and/or the displacement parameter.

The processor 14 determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

In the embodiment of the present invention, the display 15 displays the image quality evaluation result.

In an embodiment of the present invention, processor 14 determines an image quality preliminary result based on the intensity parameter and the signal-to-noise ratio; and determining the image quality evaluation result according to the image quality preliminary result and the displacement parameter.

In an embodiment of the present invention, processor 14 obtains a first weighting factor; wherein the first weight coefficient comprises a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; and obtaining the image quality preliminary result according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

In an embodiment of the present invention, processor 14 obtains a second weight coefficient; inputting the second weight coefficient, the image quality preliminary result and the displacement parameter into a preset identification model to obtain an image quality evaluation result; the preset identification model is used for carrying out quantization processing on the image quality.

In the embodiment of the present invention, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, and the processor 14 obtains a preset displacement threshold; and when the displacement parameter is smaller than the preset displacement threshold value, setting the displacement weight coefficient to be zero.

In an embodiment of the present invention, processor 14 determines a detection mode corresponding to the detection target; and determining the second weight coefficient according to the corresponding relation between the pre-stored mode and the weight and the detection mode.

In an embodiment of the present invention, after determining the displacement parameter corresponding to the motion interference according to the first echo signal, the processor 14 obtains a preset level threshold; determining a motion grade corresponding to the detection target according to the preset grade threshold and the displacement parameter;

the display 15 displays the movement level.

In the embodiment of the present invention, after determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter, the processor 14 analyzes the image quality evaluation result to obtain a quality influence ratio; wherein the quality influence proportion comprises respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result; and generating a quality influence analysis result according to the quality influence proportion.

In the embodiment of the present invention, the transmitting circuit 12 further excites the probe 11 to transmit a focused beam to the detection target; wherein the focused beam is used to generate the shear wave.

Fig. 17 is a schematic diagram of a second structural configuration of a shear wave elastography device according to an embodiment of the present invention, and as shown in fig. 17, the shear wave elastography device 1 according to an embodiment of the present invention may further include a memory 16 storing executable instructions of the processor 14, and a communication interface 17.

The transmitting circuit 12 excites the probe 11 to transmit a probe beam to the detection target; wherein the probe beam is used to probe the shear wave.

The receiving circuit 13 receives the echo signal corresponding to the probe beam through the probe 11.

The processor 14 determines a signal quality parameter corresponding to the shear wave from the echo signal.

The display 15 displays the signal quality parameter.

The processor 14 determines an image quality evaluation result according to the signal quality parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

The display 15 displays the image quality evaluation result.

A transmitting circuit 12 excites the probe 11 to transmit an ultrasonic beam to a detection target; wherein the ultrasound beam is used to detect motion disturbances.

The receiving circuit 13 receives an echo signal corresponding to the ultrasonic beam by the probe 11.

The processor 14 determines a motion parameter corresponding to the motion disturbance from the echo signal.

The display 15 displays the movement parameters.

The processor 14 determines an image quality evaluation result according to the motion parameters; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

The display 15 displays the image quality evaluation result.

In an embodiment of the present invention, the Processor 14 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a ProgRAMmable Logic Device (PLD), a Field ProgRAMmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic devices used to implement the processor functions described above may be other devices, and embodiments of the present invention are not limited in particular. The shear wave elastography device 1 may further comprise a memory 16, which memory 16 may be connected to the processor 14, wherein the memory 16 is for storing executable program code comprising computer operating instructions, and the memory 16 may comprise a high speed RAM memory and may also comprise a non-volatile memory, e.g. at least two disk memories.

In an embodiment of the present invention, memory 16 is used to store instructions and data.

In practical applications, the Memory 16 may be a volatile first Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile first Memory (non-volatile Memory), such as a Read-Only first Memory (ROM), a flash Memory (flash Memory), a Hard Disk Drive (HDD) or a Solid-State Drive (SSD); or a combination of first memories of the above kind and provides instructions and data to the processor 14.

In addition, each functional module in this embodiment may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware or a form of a software functional module.

Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The shear wave elastography device provided by the embodiment of the invention emits ultrasonic beams to a detection target; wherein the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal. Therefore, according to the shear wave elastography method provided by the embodiment of the invention, the shear wave elastography device can determine the displacement parameter corresponding to the motion interference according to the intensity parameter and the signal-to-noise ratio of the shear wave of the second echo signal corresponding to the detection beam and the first echo signal corresponding to the ultrasonic beam, so that the image quality of the shear wave elastography can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and an image quality evaluation result is obtained, thereby meeting the requirement of evaluating the image quality of the shear wave elastography based on various interference factors, and further effectively improving the accuracy degree of the diagnosis result.

Embodiments of the present invention provide a first computer-readable storage medium having stored thereon a program which, when executed by a processor, implements a shear wave elastography method as described above.

Specifically, the program instructions corresponding to a shear wave elastography method in the present embodiment may be stored on a storage medium such as an optical disc, a hard disc, or a usb disk, and when the program instructions corresponding to a shear wave elastography method in the storage medium are read or executed by an electronic device, the method includes the steps of:

transmitting an ultrasonic beam to the inspection target; wherein the ultrasound beam is used to detect motion disturbances; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used to probe the shear wave;

On the basis of the above steps, determining an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of implementations of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart block or blocks and/or flowchart block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks in the flowchart and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Industrial applicability

The embodiment of the invention provides a shear wave elastography method and a device and a computer storage medium, wherein the shear wave elastography device transmits ultrasonic beams to a detection target; wherein, the ultrasonic beam is used for detecting the motion interference; generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used for detecting shear waves; receiving a first echo signal corresponding to an ultrasonic beam and a second echo signal corresponding to a probe beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal. Therefore, according to the shear wave elastography method provided by the embodiment of the invention, the shear wave elastography device can determine the intensity parameter and the signal-to-noise ratio of the shear wave according to the second echo signal corresponding to the detection beam, and simultaneously determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam, so that the image quality of the shear wave elastography can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and the image quality evaluation result is obtained, thereby meeting the requirement of evaluating the image quality of the shear wave elastography based on various interference factors, and further effectively improving the accuracy degree of the diagnosis result.

Claims

A method of shear wave elastography, the method comprising:

transmitting an ultrasonic beam to the inspection target; wherein the ultrasound beam is used to detect motion disturbances;

generating shear waves in a detection target and transmitting a detection beam to the detection target; wherein the probe beam is used to probe the shear wave;

receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the probe beam;

and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.
The method of claim 1, further comprising displaying the intensity parameter, the signal-to-noise ratio, and/or the displacement parameter.
The method of claim 1, further comprising determining an image quality evaluation result from the intensity parameter, the signal-to-noise ratio, and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.
The method of claim 3, wherein after determining an image quality assessment result based on the intensity parameter, the signal-to-noise ratio, and the displacement parameter, the method further comprises:

and displaying the image quality evaluation result.
The method of claim 3, wherein said determining an image quality assessment result from said intensity parameter, said signal-to-noise ratio and said displacement parameter comprises:

determining an image quality preliminary result according to the intensity parameter and the signal-to-noise ratio;

and determining the image quality evaluation result according to the image quality preliminary result and the displacement parameter.
The method of claim 5, wherein said determining an image quality preliminary result from said intensity parameter and said signal-to-noise ratio comprises:

acquiring a first weight coefficient; wherein the first weight coefficient comprises a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio;

and obtaining the image quality preliminary result according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio.
The method of claim 5, wherein said determining the image quality assessment result from the image quality preliminary result and the displacement parameter comprises:

acquiring a second weight coefficient;

inputting the second weight coefficient, the image quality preliminary result and the displacement parameter into a preset identification model to obtain an image quality evaluation result; the preset identification model is used for carrying out quantization processing on the image quality.
The method according to claim 7, wherein the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, and the method further includes, before inputting the second weight coefficient, the image quality preliminary result, and the displacement parameter into a preset recognition model and obtaining the image quality evaluation result:

acquiring a preset displacement threshold;

and when the displacement parameter is smaller than the preset displacement threshold value, setting the displacement weight coefficient to be zero.
The method of claim 7, wherein the obtaining a second weight coefficient comprises:

determining a detection mode corresponding to the detection target;

and determining the second weight coefficient according to the corresponding relation between the pre-stored mode and the weight and the detection mode.
The method of claim 1, wherein after determining the displacement parameter corresponding to the motion disturbance according to the first echo signal, the method further comprises:

acquiring a preset grade threshold;

determining a motion grade corresponding to the detection target according to the preset grade threshold and the displacement parameter;

and displaying the motion grade.
The method of claim 3, wherein after determining an image quality assessment result based on the intensity parameter, the signal-to-noise ratio, and the displacement parameter, the method further comprises:

analyzing the image quality evaluation result to obtain a quality influence ratio; wherein the quality influence proportion comprises respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result;

and generating a quality influence analysis result according to the quality influence proportion.
The method according to any one of claims 1-11, wherein the ultrasound beam is used to detect motion disturbances, the ultrasound beam being used to form a B-mode ultrasound image.
A method of shear wave elastography, the method comprising:

generating a shear wave in the detection target;

transmitting a probe beam to the detection target; wherein the probe beam is used to probe the shear wave;

receiving an echo signal corresponding to the detection wave beam;

and determining a signal quality parameter corresponding to the shear wave according to the echo signal.
The method of claim 13, further comprising: and displaying the signal quality parameter.
The method of claim 13, further comprising:

determining an image quality evaluation result according to the signal quality parameters; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

and displaying the image quality evaluation result.
A method of shear wave elastography, the method comprising:

transmitting an ultrasonic beam to a detection target; wherein the ultrasound beam is used to detect motion disturbances;

receiving an echo signal corresponding to the ultrasonic beam;

and determining a motion parameter corresponding to the motion interference according to the echo signal.
The method of claim 16, further comprising displaying the motion parameter.
The method of claim 16, further comprising,

determining an image quality evaluation result according to the motion parameters; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

and displaying the image quality evaluation result.
A shear wave imaging device, wherein the shear wave imaging device comprises: a probe, a transmitting circuit, a receiving circuit and a processor,

the transmitting circuit stimulates the probe to transmit an ultrasonic beam to the detection target; wherein the ultrasound beam is used to detect motion disturbances; and transmitting a probe beam to the detection target; wherein the probe beam is used to probe shear waves;

the receiving circuit receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the probe beam through the probe;

and the processor determines a displacement parameter corresponding to the motion interference according to the first echo signal, and determines an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.
The shear wave imaging device of claim 19, wherein the shear wave imaging device further comprises: a display device is arranged on the base plate,

the display displays the intensity parameter, the signal-to-noise ratio, and/or the displacement parameter.
The shear wave imaging device of claim 19,

the processor determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; and the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target.
The shear wave imaging device of claim 21,

the display displays the image quality evaluation result.
The shear wave imaging device of claim 21,

the processor determines a quality preliminary result according to the intensity parameter and the signal-to-noise ratio; and determining the image quality evaluation result according to the image quality preliminary result and the displacement parameter.
The shear wave imaging device of claim 23,

the processor obtains a first weight coefficient; wherein the first weight coefficient comprises a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; and obtaining the image quality preliminary result according to the first weight coefficient, the intensity parameter and the signal noise.
The shear wave imaging device of claim 23,

the processor obtains a second weight coefficient; inputting the second weight coefficient, the image quality preliminary result and the displacement parameter into a preset identification model to obtain an image quality evaluation result; the preset identification model is used for carrying out quantization processing on the image quality.
The shear wave imaging device of claim 25, wherein the second weight coefficients include displacement weight coefficients corresponding to the displacement parameters,

the processor obtains a preset displacement threshold value; and when the displacement parameter is smaller than the preset displacement threshold value, setting the displacement weight coefficient to be zero.
The shear wave imaging device of claim 25,

the processor determines a detection mode corresponding to the detection target; and determining the second weight coefficient according to the corresponding relation between the pre-stored mode and the weight and the detection mode.
The shear wave imaging device of claim 19,

after the processor determines a displacement parameter corresponding to the motion interference according to the first echo signal, acquiring a preset grade threshold; determining a motion grade corresponding to the detection target according to the preset grade threshold and the displacement parameter;

the display displays the motion level.
The shear wave imaging device of claim 21,

the processor determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter, and then analyzes the image quality evaluation result to obtain a quality influence ratio; wherein the quality influence proportion comprises respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result; and generating a quality influence analysis result according to the quality influence proportion.
The shear wave imaging device of any one of claims 19-29, wherein the transmit circuitry further excites the probe to transmit a focused beam towards the detection target; wherein the focused beam is used to generate the shear wave.
A shear wave imaging device, wherein the shear wave imaging device comprises: a probe, a transmitting circuit, a receiving circuit and a processor,

the transmitting circuit stimulates the probe to transmit a probe beam to the detection target; wherein the probe beam is used to probe shear waves;

the receiving circuit receives echo signals corresponding to the detection beams through the probe;

and the processor determines a signal quality parameter corresponding to the shear wave according to the echo signal.
The shear wave imaging device of claim 31, wherein the shear wave imaging device comprises: a display device is arranged on the base plate,

the display displays the signal quality parameter.
The shear wave imaging device of claim 32,

the processor determines an image quality evaluation result according to the signal quality parameter; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

the display displays the image quality evaluation result.
A shear wave imaging device, wherein the shear wave imaging device comprises: a probe, a transmitting circuit, a receiving circuit and a processor,

the transmitting circuit stimulates the probe to transmit an ultrasonic beam to a detection target; wherein the ultrasound beam is used to detect motion disturbances;

the receiving circuit receives echo signals corresponding to the ultrasonic beams through the probe;

and the processor determines a motion parameter corresponding to the motion interference according to the echo signal.
The shear wave imaging device of claim 34, wherein the shear wave imaging device comprises: a display device is arranged on the base plate,

the display displays the motion parameter.
The shear wave imaging device of claim 34,

the processor determines an image quality evaluation result according to the motion parameters; the image quality evaluation result is used for representing the image quality of the shear wave elastography corresponding to the detection target;

the display displays the image quality evaluation result.
A computer readable storage medium having stored thereon a program for use in a shear wave imaging apparatus, wherein the program when executed by a processor implements a method according to any one of claims 1-18.