A shear wave elastic imaging method and device, and computer storage medium

Abstract

A shear wave elastic imaging method, an imaging device and a computer program, wherein the shear wave elastic imaging method comprises: emitting an ultrasonic beam for detecting motion interference to a detection target; generating shear waves in the detection target and emitting a detection beam for detecting the shear waves to the detection target; receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam; 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

Technical Field

[0001] The embodiments of the present invention relate to the technical field of image quality evaluation, and in particular to a shear wave elastic imaging method and device, and a computer storage medium. Background Art

[0002] The elasticity of tissues, that is, the degree of hardness and softness of tissues, is mainly reflected by ultrasonic elastography. In the prior art, in conventional ultrasonic elastography methods, that is, compression elastography methods, different compression forces and frequencies will cause defects such as the inability to guarantee the repeatability and stability of imaging. In contrast, shear wave elastography is obtained by identifying and detecting shear waves and their propagation parameters generated inside the tissues, and then imaging these propagation parameters, thereby quantitatively and visually obtaining the hardness differences between tissues. Since shear wave elastography is generated by ultrasonic waves emitted by the probe, it no longer relies on the operator's specific pressure on the tissue, so it can effectively make up for the defects of compression elastography. At the same time, the quantitative measurement results of shear wave elastography also make the doctor's diagnosis more objective, making shear wave elastography gradually become the elastic imaging method currently used by doctors.

[0003] However, for shear wave elastography technology, the signal intensity factor of the shear wave, the noise factor of the shear wave, the movement of the probe, the patient's breathing, heartbeat, blood vessel pulsation and other motion interference factors will interfere with the identification and detection of the shear wave position and its propagation, resulting in large differences in the image quality of shear wave elastography, affecting the diagnostic results. Summary of the invention

[0004] To solve the above technical problems, the embodiments of the present invention hope to provide a shear wave elastic imaging method and apparatus, and a computer storage medium, which can evaluate the image quality of the obtained shear wave elastic imaging, thereby effectively improving the accuracy of the diagnosis results.

[0005] The technical solution of the embodiment of the present invention is achieved as follows:

[0006] An embodiment of the present invention provides a shear wave elastic imaging method, the method comprising:

[0007] Transmitting an ultrasonic beam toward the detection target; wherein the ultrasonic beam is used to detect motion interference;

[0008] Generate a shear wave in a detection target, and transmit a detection beam to the detection target; wherein the detection beam is used to detect the shear wave;

[0009] receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam;

[0010] A displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal.

[0011] In one embodiment, the method further includes displaying the intensity parameter, the signal-to-noise ratio and / or the displacement parameter.

[0012] In one embodiment, it further includes determining an image quality evaluation result based on the intensity parameter, the signal-to-noise ratio and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target.

[0013] 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:

[0014] The image quality evaluation result is displayed.

[0015] In one embodiment, determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter includes:

[0016] Determining preliminary image quality results according to the intensity parameter and the signal-to-noise ratio;

[0017] The image quality evaluation result is determined according to the preliminary image quality result and the displacement parameter.

[0018] In one embodiment, determining a preliminary result of image quality according to the intensity parameter and the signal-to-noise ratio includes:

[0019] Obtaining a first weight coefficient; wherein the first weight coefficient includes a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio;

[0020] The preliminary image quality result is obtained according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

[0021] In one embodiment, determining the image quality evaluation result according to the preliminary image quality result and the displacement parameter includes:

[0022] Obtaining a second weight coefficient;

[0023] The second weight coefficient, the preliminary image quality result and the displacement parameter are input into a preset recognition model to obtain the image quality evaluation result; wherein the preset recognition model is used to quantify the image quality.

[0024] In one embodiment, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, and before inputting the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model and obtaining the image quality evaluation result, the method further includes:

[0025] Obtaining a preset displacement threshold;

[0026] When the displacement parameter is less than the preset displacement threshold, the displacement weight coefficient is set to zero.

[0027] In one embodiment, obtaining the second weight coefficient includes:

[0028] Determine a detection mode corresponding to the detection target;

[0029] The second weight coefficient is determined according to the correspondence between the pre-stored mode and the weight and the detection mode.

[0030] In one embodiment, after determining the displacement parameter corresponding to the motion interference according to the first echo signal, the method further includes:

[0031] Get the preset level threshold;

[0032] Determining the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter;

[0033] The sport level is displayed.

[0034] 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:

[0035] Analyze the image quality evaluation result to obtain a quality impact ratio; wherein the quality impact ratio includes the respective proportions of the intensity parameter, the signal-to-noise ratio, and the displacement parameter in the image quality evaluation result;

[0036] A quality impact analysis result is generated according to the quality impact ratio.

[0037] 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.

[0038] An embodiment of the present invention provides a shear wave elastic imaging method, the method comprising:

[0039] generating shear waves in the detection target;

[0040] transmitting a detection beam to the detection target; wherein the detection beam is used to detect the shear wave;

[0041] receiving an echo signal corresponding to the detection beam;

[0042] A signal quality parameter corresponding to the shear wave is determined according to the echo signal.

[0043] In one embodiment, the method further includes: displaying the signal quality parameter.

[0044] In one embodiment, it further includes:

[0045] Determine an image quality evaluation result according to the signal quality parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target;

[0046] The image quality evaluation result is displayed.

[0047] An embodiment of the present invention provides a shear wave elastic imaging method, the method comprising:

[0048] Transmitting an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference;

[0049] receiving an echo signal corresponding to the ultrasonic beam;

[0050] The motion parameter corresponding to the motion interference is determined according to the echo signal.

[0051] In one embodiment, the method further includes displaying the motion parameters.

[0052] In one embodiment, an image quality evaluation result is determined according to the motion parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target;

[0053] The image quality evaluation result is displayed.

[0054] The embodiment of the present invention provides a shear wave imaging device, which includes: a probe, a transmitting circuit, a receiving circuit and a processor.

[0055] The transmitting circuit excites the probe to transmit an ultrasonic beam to the detection target, wherein the ultrasonic beam is used to detect motion interference; and transmits a detection beam to the detection target, wherein the detection beam is used to detect shear waves;

[0056] The receiving circuit receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam through the probe;

[0057] 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.

[0058] In one embodiment, the shear wave imaging device further comprises: a display,

[0059] The display displays the intensity parameter, the signal-to-noise ratio and / or the displacement parameter.

[0060] In one embodiment, the processor determines an image quality evaluation result based on the intensity parameter, the signal-to-noise ratio, and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target.

[0061] In one embodiment, the display displays the image quality assessment result.

[0062] In one embodiment, the processor determines a preliminary quality result according to the intensity parameter and the signal-to-noise ratio; and determines the image quality evaluation result according to the preliminary image quality result and the displacement parameter.

[0063] In one embodiment, the processor obtains a first weight coefficient; wherein the first weight coefficient includes a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; and obtains the preliminary result of the image quality based on the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

[0064] In one embodiment, the processor obtains a second weight coefficient; and inputs the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model to obtain the image quality evaluation result; wherein the preset recognition model is used to quantify the image quality.

[0065] In one embodiment, the second weight coefficient comprises a displacement weight coefficient corresponding to the displacement parameter,

[0066] The processor obtains a preset displacement threshold; and when the displacement parameter is less than the preset displacement threshold, sets the displacement weight coefficient to zero.

[0067] In one embodiment, the processor determines a detection mode corresponding to the detection target; and determines the second weight coefficient according to a correspondence between a pre-stored mode and a weight and the detection mode.

[0068] In one embodiment, after determining the displacement parameter corresponding to the motion interference according to the first echo signal, the processor acquires a preset level threshold; and determines the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter;

[0069] The display shows the exercise level.

[0070] In one embodiment, after determining the image quality evaluation result based on the intensity parameter, the signal-to-noise ratio and the displacement parameter, the processor analyzes the image quality evaluation result to obtain a quality impact ratio; wherein the quality impact ratio includes the respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result; and based on the quality impact ratio, generates a quality impact analysis result.

[0071] In one embodiment, the transmitting circuit further stimulates the probe to transmit a focused beam toward the detection target, wherein the focused beam is used to generate the shear wave. The shear wave can also be generated in other ways, such as: external mechanical vibration, periodic movement of tissue or organ, etc.

[0072] The embodiment of the present invention provides a shear wave imaging device, which includes: a probe, a transmitting circuit, a receiving circuit and a processor.

[0073] The transmitting circuit excites the probe to transmit a detection beam toward the detection target; wherein the detection beam is used to detect shear waves;

[0074] The receiving circuit receives the echo signal corresponding to the detection beam through the probe;

[0075] The processor determines a signal quality parameter corresponding to the shear wave according to the echo signal.

[0076] In one embodiment, the shear wave imaging device comprises: a display,

[0077] The display displays the signal quality parameter.

[0078] In one embodiment, the processor determines an image quality evaluation result according to the signal quality parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target;

[0079] The display displays the image quality evaluation result.

[0080] The embodiment of the present invention provides a shear wave imaging device, which includes: a probe, a transmitting circuit, a receiving circuit and a processor.

[0081] The transmitting circuit excites the probe to transmit an ultrasonic beam toward the detection target; wherein the ultrasonic beam is used to detect motion interference;

[0082] The receiving circuit receives the echo signal corresponding to the ultrasonic beam through the probe;

[0083] The processor determines a motion parameter corresponding to the motion interference according to the echo signal.

[0084] In one embodiment, the shear wave imaging device comprises: a display,

[0085] The display displays the motion parameters.

[0086] In one embodiment, the processor determines an image quality evaluation result according to the motion parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target;

[0087] The display displays the image quality evaluation result.

[0088] An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon, which is applied to a shear wave imaging device. When the program is executed by a processor, the shear wave elastic imaging method as described above is implemented.

[0089] The embodiment of the present invention provides a shear wave elastic imaging method and device, and a computer storage medium, wherein the shear wave elastic imaging device transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention, wherein the shear wave elastic imaging device can determine the signal quality parameters of the shear wave such as the intensity parameter and the signal-to-noise ratio according to the second echo signal corresponding to the detection beam, and at the same time determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam, can combine the displacement parameter and the signal quality parameter of the shear wave to comprehensively identify the image quality of the shear wave elastic imaging, and obtain an image quality evaluation result, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, and thereby effectively improving the accuracy of the diagnosis result. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 1 ;

[0091] Figure 2 Schematic diagram of shear wave propagation in water;

[0092] Figure 3 Schematic diagram of shear wave propagation in blood;

[0093] Figure 4 Schematic diagram of shear wave propagation in tissue Figure 1 ;

[0094] Figure 5 Schematic diagram of shear wave propagation in tissue Figure 2 ;

[0095] Figure 6 Schematic diagram of shear wave propagation in tissue Figure 3 ;

[0096] Figure 7 Schematic diagram of an echo signal of a previous frame of a B image in an embodiment of the present invention;

[0097] Figure 8 Schematic diagram of an echo signal of a subsequent frame of a B image in an embodiment of the present invention;

[0098] Fig. 9 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 2 ;

[0099] Fig.10 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 3 ;

[0100] Fig.11 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 4 ;

[0101] Fig.12 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 5 ;

[0102] Fig.13 The motion level in the embodiment of the present invention is shown as follows Figure 1 ;

[0103] Fig.14 The motion level in the embodiment of the present invention is shown as follows Figure 2 ;

[0104] Fig.15 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 6 ;

[0105] Fig.16 Schematic diagram of the structure of the shear wave elastic imaging device proposed in the embodiment of the present invention Figure 1 ;

[0106] Fig.17 Schematic diagram of the structure of the shear wave elastic imaging device proposed in the embodiment of the present invention Figure 2 . DETAILED DESCRIPTION

[0107] In order to enable a more detailed understanding of the features and technical contents of the embodiments of the present invention, the implementation of the embodiments of the present invention is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not intended to limit the embodiments of the present invention.

[0108] Shear waves are waves whose propagation direction is perpendicular to the vibration direction of the medium particles. The probe emits a specific focused ultrasound beam into the detection target to form an acoustic radiation force, which acts as a bipolar shear wave source and further generates shear waves propagating in the transverse direction. Then the probe again emits an acoustic beam to the tissue for detecting the propagation of shear waves, and receives echoes for signal processing. By calculating the displacement field that changes with time at each position of the tissue, the propagation velocity of the shear waves at these positions can be reconstructed, thereby forming a shear wave elastic image. While forming the shear wave elastic image, the echo signal analysis can be used to judge the quality of the shear wave signal, and a quantitative credibility level value can be obtained to identify the quality of the current elastic image. Furthermore, the detection target movement and probe movement caused by factors such as breathing can also be judged, the strength of the movement can be graded, and the image quality evaluation result can be given in combination with the signal quality judgment. Finally, the obtained shear wave elastic image, the quantitative image quality evaluation result, and the movement strength graded indication are displayed at the same time.

[0109] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. It is understood that the specific embodiments described herein are only used to explain the relevant application, rather than to limit the application. It should also be noted that, for the convenience of description, only the parts related to the relevant application are shown in the accompanying drawings.

[0110] The embodiment of the present invention provides a shear wave elastic imaging method. Figure 1 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 1 ,like Figure 1 As shown, in an embodiment of the present invention, a shear wave elastic imaging device performs a shear wave elastic imaging method which may include the following steps:

[0111] Step 101, transmitting an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; generating shear waves in the detection target, and transmitting a detection beam to the detection target; wherein the detection beam is used to detect shear waves.

[0112] In an embodiment of the present invention, the shear wave elastic imaging device can emit an ultrasonic beam to the detection target; wherein the ultrasonic beam is used to detect motion interference; the device can also generate shear waves in the detection target, and then emit a detection beam to the detection target; wherein the detection beam is used to detect the shear waves. The shear wave elastic imaging device can be a device for performing shear wave elastic imaging on the detection target. The detection target can be a human tissue, organ, etc. to be detected, for example, the detection target can be a human tissue such as thyroid, breast, liver, muscle bone or blood vessel.

[0113] In an embodiment of the present invention, the ultrasonic beam is used to detect motion interference, and the ultrasonic beam may be a B-type beam, which may be used to acquire a B-type ultrasonic image; the shear wave may be generated by a focused beam; and the detection beam may be used to detect the shear wave.

[0114] In an embodiment of the present invention, the shear wave may be used to perform elastic detection on the detection target.

[0115] In an embodiment of the present invention, the above-mentioned shear wave elastic imaging device can be configured with a probe and a transmitting circuit. The above-mentioned transmitting circuit can excite the above-mentioned probe to transmit a specific focused beam toward the above-mentioned detection target to form an acoustic radiation force. The acoustic radiation force acts as a bipolar shear wave source to generate shear waves propagating in the transverse direction, thereby realizing the generation of shear waves in the above-mentioned detection target.

[0116] Step 102: Receive a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam.

[0117] In an embodiment of the present invention, after the shear wave elasticity imaging device transmits the ultrasonic beam to the detection target, it can receive a first echo signal corresponding to the ultrasonic beam; after the shear wave elasticity imaging device generates a shear wave in the detection target and transmits a detection beam to the detection target, it can receive a second echo signal corresponding to the detection beam.

[0118] In an embodiment of the present application, the shear wave elastic imaging device transmits an ultrasonic beam to the detection target, generates a shear wave in the detection target, and transmits a detection beam to the detection target, and then receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam.

[0119] In an embodiment of the present invention, after the shear wave elastography device sends the ultrasonic beam to the detection target, the receiving circuit configured in the shear wave elastography device can receive the first echo signal corresponding to the ultrasonic beam through the probe.

[0120] In an embodiment of the present invention, the shear wave elasticity imaging device generates a shear wave in the detection target and sends a detection beam to the detection target. The shear wave elasticity imaging device can detect the shear wave through the detection beam, thereby receiving the second echo signal corresponding to the detection beam through the probe.

[0121] Step 103: Determine the displacement parameter corresponding to the motion disturbance according to the first echo signal, and determine the intensity parameter and signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

[0122] In an embodiment of the present invention, after receiving the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the detection beam, the shear wave elastic imaging device can determine the displacement parameter corresponding to the motion interference according to the first echo signal, and can also determine the intensity parameter and signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

[0123] In an embodiment of the present application, after receiving the second echo signal, the shear wave elastic imaging device can perform signal processing on the second echo signal to obtain the intensity parameter and the noise parameter corresponding to the shear wave, and then further determine the signal-to-noise ratio corresponding to the shear wave based on the intensity parameter and the noise parameter.

[0124] In an embodiment of the present invention, the shear wave elasticity imaging device can first determine the intensity parameter corresponding to the shear wave based on the second echo signal, wherein the intensity parameter is used to characterize the signal intensity corresponding to the shear wave. The shear wave elasticity imaging device can extract the noise parameter corresponding to the shear wave from the second echo signal, and determine the signal-to-noise ratio corresponding to the shear wave based on the second echo signal and the noise parameter, that is, the ratio of the shear wave signal amplitude to the noise level.

[0125] In the embodiments of the present invention, the imaging of the shear wave propagation velocity or Young's modulus relies on the shear wave signal. Therefore, it is necessary to judge the quality of the shear wave signal. Specifically, the judgment of the quality of the shear wave signal mainly involves identifying the strength of the shear wave signal, the signal-to-noise ratio and other parameters and making a quantitative judgment.

[0126] Figure 2 is a schematic diagram of shear wave propagation in water, as shown in Figure 2As shown, since shear waves cannot propagate in liquids, the signal amplitude of shear waves in water is 0 and the noise level is (-2, 2).

[0127] Figure 3 is a schematic diagram of shear wave propagation in blood, as shown in Figure 3 As shown, due to the presence of red blood cells, plasma and other substances in the blood, there will be some shear wave signals with extremely small intensity compared to water. However, since the signal intensity is extremely small, it is usually mixed with noise. The shear wave signal amplitude in the figure is 4, and the noise level is (-2, 2). Therefore, it is difficult to calculate the precise shear wave propagation velocity based on the signal.

[0128] Figure 4 Schematic diagram of shear wave propagation in tissue Figure 1 ,like Figure 4 As shown, the shear wave signal is significantly stronger than the surrounding noise, wherein the shear wave signal amplitude is 30 and the noise level is (-2, 2).

[0129] Figure 5 Schematic diagram of shear wave propagation in tissue Figure 2 ,like Figure 5 As shown, compared to Figure 4 , the system noise becomes much larger, which will affect the calculation of shear wave propagation velocity. The shear wave signal amplitude is 30 and the noise level is (-5, 5).

[0130] Figure 6 Schematic diagram of shear wave propagation in tissue Figure 3 ,like Figure 6 As shown, compared to Figure 4 , the system noise level is still (-2, 2), but due to the attenuation during the propagation of the shear wave, the signal intensity of the shear wave decreases, and the amplitude of the shear wave signal is 8.

[0131] In an embodiment of the present invention, the shear wave elastography apparatus can also further determine a displacement parameter corresponding to the motion disturbance according to the first echo signal.

[0132] In an embodiment of the present invention, shear wave elastic imaging can generate the above-mentioned shear wave by emitting a focused beam to the above-mentioned detection target, and detecting the shear wave propagation velocity at each position corresponding to the above-mentioned detection target, thereby obtaining a hardness information image of the above-mentioned detection target. Specifically, in an embodiment of the present invention, when performing the wave velocity detection of the above-mentioned shear wave, the above-mentioned shear wave elastic imaging device can continuously emit multiple detection ultrasound beams to the imaging area corresponding to the above-mentioned detection target and obtain multiple frames of echo data. For a specific position in the imaging area, these high-frame rate data record the change in displacement of the position over time during the shear wave propagation process, and then determine the propagation velocity of the shear wave at the position.

[0133] In an embodiment of the present invention, measuring the propagation velocity of the shear wave at each position is a key step in shear wave elastic imaging. However, motion interference such as the movement of the detection target caused by breathing, heartbeat, etc. and the movement of the probe may introduce serious correlation errors, causing the imaging plane to change, or causing the spot pattern at the same position in the imaging area corresponding to the detection target to change, which will lead to the inability to accurately measure the propagation velocity of the shear wave, further reducing the image quality of the shear wave elastic imaging. Therefore, in the shear wave elastic imaging method proposed in the present invention, the motion interference factor can be combined with multiple interference factors such as the signal-to-noise ratio and the intensity parameter, so as to more accurately evaluate the image quality of the shear wave imaging.

[0134] In an embodiment of the present invention, when the shear wave elastic imaging device determines the strength of motion interference according to the first echo signal, it can specifically determine the absolute displacements at multiple preset positions in the entire area of ​​a frame of image based on the image obtained by the first echo signal, and then calculate and obtain the average value corresponding to the absolute displacements at the multiple preset positions, thereby determining the average value corresponding to the absolute displacements at the multiple preset positions as the displacement parameter of the frame image, which is used to evaluate the degree of motion interference.

[0135] In an embodiment of the present application, when the shear wave elastic imaging device determines the displacement parameter according to the first echo signal, it can not only determine the displacement parameter according to the B image, but also determine the absolute displacement at multiple preset positions in the entire area of ​​the frame image based on the RF data obtained through the first echo signal, and then calculate the average value corresponding to the absolute displacement at the multiple preset positions, so as to determine the average value corresponding to the absolute displacement at the multiple preset positions as the displacement parameter of the frame image. Among them, after taking the envelope and logarithmic compression of the RF data obtained through the first echo signal, B-type imaging, that is, obtaining a B image, can be obtained.

[0136] In an embodiment of the present invention, Figure 7 FIG. 4 is a schematic diagram of an echo signal of a previous frame of a B image in an embodiment of the present invention. Figure 7 As shown in the figure, any circle represents any data point in the detection target, each data point has a corresponding data block, and the black dot represents the preset position for which the absolute displacement needs to be calculated, wherein the data block corresponding to the preset position A is data block 1. For a specific position, such as the preset position A, the absolute displacement of the preset position A can be determined by combining the next frame image of the frame image. Figure 7 , Figure 8 FIG. 1 is a schematic diagram of an echo signal of a subsequent frame of a B image in an embodiment of the present invention. Figure 8 As shown, Figure 7 As a reference frame, the shear wave elastic imaging device can use a correlation-based method to first search for the data block 2 that best matches and is most relevant to the data block 1 in the search area in the next frame of image, so as to further obtain the absolute displacement d of the preset position A. Specifically, the measurement of the above correlation can be determined by using indicators such as the sum of the absolute values ​​of the differences between the data blocks in the previous frame of image and the next frame of image, the sum of the squares of the differences, or the normalized correlation coefficient.

[0137] In an embodiment of the present invention, after determining the absolute displacements of all the preset positions, the shear wave elastic imaging device can then calculate the average value corresponding to all the absolute displacements, thereby determining the average value corresponding to the absolute displacements of all the preset positions as the displacement parameter. Figure 7 and Figure 8 After the shear wave elastic imaging device calculates the absolute displacements corresponding to all preset positions in the B image, it performs an average operation on all the absolute displacements, and then calculates the displacement parameters of the next frame image with the previous frame image as the reference frame.

[0138] In an embodiment of the present invention, the shear wave elastic imaging device may first eliminate the absolute displacements of some preset positions in the process of calculating the average value corresponding to the absolute displacements of all the preset positions. For example, when the amplitude of the data block corresponding to a preset position among all the preset positions is lower than the preset amplitude threshold, it can be considered that the absolute displacement calculation of the preset position is inaccurate, and therefore the absolute displacement of the preset position can be eliminated and not considered.

[0139] In an embodiment of the present application, after determining the displacement parameter corresponding to the motion disturbance and simultaneously determining the intensity parameter and signal-to-noise ratio corresponding to the shear wave, the shear wave elastography device can display the intensity parameter, the signal-to-noise ratio and / or the displacement parameter.

[0140] In an embodiment of the present application, after the shear wave elastic imaging device determines the displacement parameter corresponding to the motion disturbance according to the first echo signal, and determines the intensity parameter and signal-to-noise ratio corresponding to the shear wave according to the second echo signal, that is, after step 103, the method for shear wave elastic imaging by the shear wave elastic imaging device may further include the following steps:

[0141] Step 104: Determine an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of the shear wave elastic imaging corresponding to the detection target.

[0142] In an embodiment of the present invention, the shear wave elasticity imaging device can determine the image quality evaluation result based on the intensity parameter, the signal-to-noise ratio and the displacement parameter after determining the displacement parameter corresponding to the motion interference 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.

[0143] Specifically, in an embodiment of the invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastic imaging corresponding to the detection target, that is, the image quality evaluation result can characterize the image quality of the shear wave elastic imaging. The image quality evaluation result can be a quantified value or a specific level parameter.

[0144] In an embodiment of the present invention, after determining the intensity parameter and the signal-to-noise ratio, the shear wave elastic imaging device can first determine the preliminary quality 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 preliminary image quality result and the displacement parameter. Thus, the displacement parameter caused by motion interference can be combined with multiple interference factors such as the signal-to-noise ratio and the intensity parameter, so as to more accurately evaluate the image quality of the shear wave imaging.

[0145] In an embodiment of the present application, after the shear wave elastic imaging device determines the 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 image quality evaluation by the shear wave elastic imaging device may further include the following steps:

[0146] Step 105: Display the image quality evaluation result.

[0147] In an 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 shear wave elasticity imaging device may display the image quality evaluation result.

[0148] 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 result together with the shear wave elastography.

[0149] A shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that can determine the signal quality parameters of the shear wave such as the intensity parameter and the signal-to-noise ratio according to the second echo signal corresponding to the detection beam, and at the same time determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam, and then the image quality of the shear wave elastic imaging can be comprehensively identified by combining the displacement parameter and the signal quality parameter of the shear wave, and an image quality evaluation result can be obtained, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, and thereby effectively improving the accuracy of the diagnosis result.

[0150] In an embodiment of the present invention, Fig. 9 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 2 ,like Fig. 9 As shown, the method for determining the image quality evaluation result by the shear wave elastic imaging device according to the intensity parameter, the signal-to-noise ratio and the displacement parameter may include the following steps:

[0151] Step 104a: Determine preliminary image quality results based on the intensity parameter and the signal-to-noise ratio.

[0152] In an embodiment of the present invention, after the shear wave elastography device determines the intensity parameter and the signal-to-noise ratio corresponding to the shear wave according to the second echo signal and the noise parameter, it can first determine the preliminary quality result corresponding to the shear wave elastography according to the intensity parameter and the signal-to-noise ratio. The preliminary image quality result is used to characterize the preliminary judgment of the image quality affected by the shear wave signal on the shear wave elastography.

[0153] 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 in measuring the image quality of the shear wave elastic imaging, the shear wave elastic imaging device can first determine the preliminary result of the image quality corresponding to the shear wave based on the intensity parameter and the signal-to-noise ratio. Specifically, the shear wave elastic imaging device can assign different weight parameters to the intensity parameter and the signal-to-noise ratio to comprehensively judge the preliminary result of the image quality.

[0154] In an embodiment of the present invention, the shear wave elasticity imaging device may pre-set a first weight coefficient, and then further determine the preliminary image quality result based on the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

[0155] In an embodiment of the present 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, wherein the preliminary image quality result may be a preliminary image quality of the shear wave elastography obtained by quantification after comprehensive judgment. For example, the shear wave elastography device may obtain the preliminary quality result according to formula (1):

[0156] Q = x*A+y*SNR (1)

[0157] Where: Q is the preliminary quality 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.

[0158] In an embodiment of the present invention, the shear wave elastography apparatus can identify the impact of interferences such as system noise of the apparatus and internal changes of the detection target on the preliminary image quality of shear wave elastography through the preliminary image quality result.

[0159] Step 104b: Determine the image quality evaluation result according to the preliminary quality result and the displacement parameter.

[0160] In an embodiment of the present invention, after obtaining the preliminary image quality result and determining the displacement parameter corresponding to the motion interference according to the first echo signal, the shear wave elasticity imaging device can determine the image quality evaluation result based on the preliminary image quality result and the displacement parameter.

[0161] In an embodiment of the present invention, the shear wave elasticity imaging device may assign corresponding weight coefficients to the preliminary image quality results and the displacement parameters according to the detection mode corresponding to the detection target, and then determine the image quality evaluation result based on the preliminary image quality results, the displacement parameters and the weight coefficients.

[0162] In the embodiment of the present invention, different detection modes correspond to different weights, so the shear wave elastography apparatus may first determine the detection mode.

[0163] In an embodiment of the present invention, Fig.10 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 3 ;like Fig.10As shown, the method for the shear wave elastic imaging device to determine the image quality evaluation result according to the preliminary image quality result and the displacement parameter may include the following steps:

[0164] Step 201: Obtain a second weight coefficient.

[0165] In an embodiment of the present invention, the shear wave imaging device may first obtain a second weight coefficient.

[0166] In an embodiment of the present 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 image quality.

[0167] In an embodiment of the present invention, the shear wave imaging device may specifically perform the following steps when acquiring the second weight coefficient:

[0168] Step 201a: Determine the detection mode corresponding to the detection target.

[0169] In an embodiment of the present invention, the shear wave elastography apparatus may first determine the detection mode corresponding to the detection target according to the detection target.

[0170] In an embodiment of the present invention, the above-mentioned detection target may have the above-mentioned detection mode corresponding thereto. Specifically, the above-mentioned shear wave elastic imaging device may distinguish the above-mentioned detection targets according to different clinical application situations. For example, if the detection target is a tissue organ such as the breast or thyroid gland, when performing shear wave elastic imaging, the influence of respiratory motion interference on the elastic image is small, so the corresponding 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 the liver, when performing shear wave elastic imaging, the influence of respiratory motion interference on the elastic image is large, so the corresponding detection mode is a mode with a large respiratory motion weight.

[0171] Step 201b: Determine a second weight coefficient according to the correspondence between the pre-stored mode and the weight and the detection mode.

[0172] In an embodiment of the present invention, after determining the detection mode corresponding to the detection target according to the detection target, the shear wave elastography apparatus may determine a second weight coefficient according to the correspondence between the pre-stored mode and the weight and the detection mode.

[0173] In an embodiment of the present invention, the shear wave elastography apparatus may pre-store the correspondence between the pre-stored modes and the weights, that is, different second weight coefficients may be pre-assigned to different detection modes.

[0174] In an embodiment of the present invention, for detection targets such as the breast and thyroid glands where the influence of respiratory motion interference on the elastic image is relatively small, the above-mentioned shear wave elastic imaging device can reduce the weight of motion interference when allocating the second weight coefficient; for detection targets such as the liver where the influence of respiratory motion interference on the elastic image is relatively large, the above-mentioned shear wave elastic imaging device can increase the weight of motion interference when allocating the second weight coefficient.

[0175] Step 202: Input the second weight coefficient, the preliminary quality result and the displacement parameter into a preset recognition model to obtain an image quality evaluation result.

[0176] In an embodiment of the present invention, after obtaining the second weight coefficient, the shear wave elasticity imaging device can input the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model, so as to obtain the image quality evaluation result.

[0177] In an embodiment of the present invention, after determining the second weight coefficient, the shear wave elastic imaging device can combine the displacement parameters with the preliminary image quality results, that is, combine the displacement parameters, the intensity parameters and the signal-to-noise ratio, and perform overall credibility identification and calculation on the image quality of the shear wave elastic imaging, thereby identifying the current shear wave elastic imaging image quality and the accuracy of the measurement results.

[0178] In an embodiment of the present invention, the shear wave elastography apparatus may pre-set the preset recognition model, wherein the preset recognition model is used to quantify the image quality of shear wave elastography, and the preset recognition model may include a variety of different calculation models.

[0179] It should be noted that, in the embodiment of the present invention, the preset recognition model may be a linear model related to the displacement parameter and the preliminary image quality result, or a nonlinear model related to the displacement parameter and the preliminary image quality result. For example, the preset recognition model may be a linear weighted sum calculation model of the displacement parameter and the preliminary image quality result in formula (2),

[0180] Q total =a*Q+b*D (2)

[0181] Among them, Q total is the image quality evaluation result, D is the displacement parameter, Q is the preliminary quality result, a and b are the second weight coefficients corresponding to the preliminary quality result and the displacement parameter respectively, wherein, since the larger the displacement parameter is, the worse the corresponding image quality will be, therefore, in the embodiment of the present invention, the displacement weight coefficient b can be a negative value.

[0182] In an embodiment of the present invention, the preset recognition model may be a nonlinear model in addition to a linear model such as the above formula (2). For example, the displacement parameter D may be thresholded, that is, when D is lower than a preset displacement threshold, the displacement weight coefficient b is set to 0.

[0183] It should be noted that, in the embodiment of the present invention, the above formula (1) and the above formula (2) only represent the way of linearly combining the three factors of the above signal-to-noise ratio, the above intensity parameter and the above displacement parameter. In the embodiment of the present invention, other nonlinear combination methods may also exist. Specifically, the above shear wave elastic imaging device may perform threshold processing, secondary processing or logarithmic processing on the above signal-to-noise ratio, the above intensity parameter and the above displacement parameter. For example, the integration method of the above preliminary image quality result and the above displacement parameter may also adopt a calculation model such as formula (3):

[0184] Q total =(1-c*D / D max )*Q (3)

[0185] Among them, Q total is the image quality evaluation result, D is the displacement parameter, Q is the preliminary quality result, and D max represents the preset maximum displacement threshold, and c is the second weight coefficient. It can be seen from the above formula (3) that the larger the displacement parameter D is, the higher the image quality evaluation result Q is. total The lower.

[0186] A shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that 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 at the same time according to the first echo signal corresponding to the ultrasonic beam, and can comprehensively identify the image quality of the shear wave elastic imaging by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and obtain an image quality evaluation result, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, and thereby effectively improving the accuracy of the diagnosis result.

[0187] In an embodiment of the present invention, Fig.11A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 4 ,like Fig.11 As shown, the second weight coefficient includes the displacement weight coefficient corresponding to the displacement parameter. The shear wave elastic imaging device inputs the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model. Before obtaining the image quality evaluation result, that is, before step 202, the method for image quality evaluation by the shear wave elastic imaging device may further include the following steps:

[0188] Step 203: Obtain a preset displacement threshold.

[0189] In an embodiment of the present invention, the shear wave elasticity imaging device may first obtain the preset displacement threshold before inputting the second weight coefficient, the preliminary image quality result and the displacement parameter into the preset recognition model to obtain the image quality evaluation result.

[0190] It should be noted that, in the embodiment of the present invention, the second weight coefficient may include a displacement weight coefficient corresponding to the displacement parameter.

[0191] In an embodiment of the present invention, the above-mentioned preset displacement threshold can be used to eliminate the above-mentioned displacement parameters. Specifically, in an embodiment of the present invention, before the above-mentioned shear wave elastic imaging device calculates the above-mentioned image quality evaluation result according to the above-mentioned preset recognition model, it can first perform threshold processing on the above-mentioned displacement parameters, that is, when the above-mentioned displacement parameters are lower than the above-mentioned preset displacement threshold, it can be considered that the above-mentioned displacement parameters are not accurate, and therefore the influence of the above-mentioned displacement parameters on the image quality of the above-mentioned shear wave imaging can be ignored.

[0192] Step 204: When the displacement parameter is less than a preset displacement threshold, the displacement weight coefficient is set to zero.

[0193] In an embodiment of the present invention, after obtaining the preset displacement threshold, if the displacement parameter is less than the preset displacement threshold, the shear wave elasticity imaging device may set the displacement weight coefficient to zero.

[0194] In an embodiment of the present invention, after obtaining the preset displacement threshold, the shear wave elasticity imaging device may compare the preset displacement threshold with the displacement parameter. When the displacement parameter is less than the preset displacement threshold, the shear wave elasticity imaging device may consider that the displacement parameter has little influence on the image quality of the shear wave imaging, that is, the influence of the displacement parameter may be ignored. Then the image quality evaluation parameter may set the displacement weight coefficient to zero.

[0195] A shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that 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 at the same time according to the first echo signal corresponding to the ultrasonic beam, and can comprehensively identify the image quality of the shear wave elastic imaging by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and obtain an image quality evaluation result, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, and thereby effectively improving the accuracy of the diagnosis result.

[0196] In an embodiment of the present invention, Fig.12 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 5 ,like Fig.12 As shown, after the shear wave elastic imaging device determines the displacement parameter corresponding to the motion disturbance according to the first echo signal, the method for image quality evaluation by the shear wave elastic imaging device may further include the following steps:

[0197] Step 301: Obtain a preset level threshold.

[0198] In an embodiment of the present invention, after determining the displacement parameter corresponding to the motion interference according to the first echo signal, the shear wave elasticity imaging device may first obtain a preset level threshold, wherein the preset level threshold is used by the shear wave elasticity imaging device to classify the displacement parameter into motion levels.

[0199] It should be noted that, in an embodiment of the present invention, the above-mentioned shear wave elastic imaging device can pre-set the above-mentioned preset level threshold. Specifically, the above-mentioned preset level threshold can be at least one displacement threshold range, so that the above-mentioned displacement parameters can be graded according to the above-mentioned preset level threshold.

[0200] In an embodiment of the present invention, the shear wave elastic imaging device can determine the strength of the motion interference 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, and correspondingly, the smaller the displacement parameter is, the weaker the motion degree of the detection target or the probe is. Therefore, the shear wave elastic imaging device can set the preset level threshold to grade the strength of the motion of the detection target according to the displacement parameter.

[0201] Step 302: Determine the motion level corresponding to the detection target according to the preset level threshold and displacement parameter.

[0202] In an embodiment of the present invention, after obtaining the preset level threshold, the shear wave elastography device may determine the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter.

[0203] In an embodiment of the present invention, after obtaining the preset level threshold, the shear wave elasticity imaging device can compare the displacement parameter with the preset level threshold, so as to determine within which level range of the preset level threshold the displacement parameter belongs, and then determine the level of the displacement parameter, that is, determine the motion level characterizing the degree of motion of the detection target.

[0204] Step 303: Display the exercise level.

[0205] 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 apparatus may display the motion level.

[0206] It should be noted that, in an embodiment of the present invention, after obtaining the motion level corresponding to the above-mentioned detection target, the above-mentioned shear wave elastic imaging device can display the above-mentioned motion level on the display screen of the above-mentioned shear wave elastic imaging device, thereby helping the doctor to judge the patient's breathing state, and then to collect elastic images when it is determined that the patient is holding his breath.

[0207] In an embodiment of the present invention, the shear wave elasticity imaging device may display the motion level in many ways. Specifically, in an embodiment of the present invention, the content of the motion level displayed by the shear wave elasticity imaging device includes but is not limited to the number of levels, the shape, color, size, arrangement of the level display blocks, and the position of the display area in the display screen.

[0208] In an embodiment of the present invention, Fig.13 The motion level in the embodiment of the present invention is shown as follows Figure 1 , Fig.14The motion level in the embodiment of the present invention is shown as follows Figure 2 ,like Fig.13 and Fig.14 As shown, the exercise level can be divided into five levels according to the intensity of the exercise, and the intensity of the exercise level is indicated by colors of different shades. The doctor can take pictures during a period of continuous light-colored dynamic display, but not take pictures during a dark-colored display.

[0209] It should be noted that, in the embodiments of the present invention, the movement of the detection target caused by breathing, heartbeat, etc. and the movement caused by the probe manipulation can be judged and measured by the above-mentioned movement level.

[0210] A shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that 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 at the same time determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam, and then the image quality of the shear wave elastic imaging can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and an image quality evaluation result can be obtained, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, and thereby effectively improving the accuracy of the diagnosis result.

[0211] In an embodiment of the present invention, Fig.15 A schematic diagram of the implementation process of a shear wave elastic imaging method proposed in an embodiment of the present invention Figure 6 ,like Fig.15 As shown, after the shear wave elastic imaging device determines the 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 image quality evaluation by the shear wave elastic imaging device may further include the following steps:

[0212] Step 106: Analyze the image quality evaluation result to obtain the quality impact ratio.

[0213] In an embodiment of the present invention, after the shear wave elasticity imaging device determines the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter, the shear wave elasticity imaging device can analyze the image quality evaluation result to obtain the quality impact ratio.

[0214] It should be noted that, in an embodiment of the present invention, the above-mentioned quality impact ratio may include the proportion of the above-mentioned intensity parameter in the above-mentioned image quality evaluation result, the proportion of the above-mentioned signal-to-noise ratio in the above-mentioned image quality evaluation result and the proportion of the above-mentioned displacement parameter in the above-mentioned image quality evaluation result.

[0215] In an embodiment of the present invention, the shear wave elastic imaging 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.

[0216] Step 107: Generate a quality impact analysis result according to the quality impact ratio.

[0217] In an embodiment of the present invention, after the shear wave elastic imaging device analyzes the image quality evaluation result and obtains the quality impact ratio, it can generate a quality impact analysis result according to the quality impact ratio.

[0218] It should be noted that, in the embodiment of the present invention, the shear wave elastography apparatus can generate a mass impact analysis result specifically according to the mass impact ratio and the detection mode.

[0219] In an embodiment of the present invention, the above-mentioned shear wave elastic imaging device can provide the above-mentioned quality impact analysis results to the doctor, so that the doctor can obtain the main factors and secondary factors affecting the image quality, and then the doctor can pay more attention during the examination, and first solve the problem that causes the credibility to decrease, that is, the quality of the shear wave imaging image to decrease. For example, when examining the liver, the respiratory interference is large, and the above-mentioned shear wave elastic imaging device can automatically derive the above-mentioned quality impact analysis results as motion interference of 60%, signal-to-noise ratio influence of 30%, and signal intensity influence of 10%. When examining the neck, the above-mentioned shear wave elastic imaging device can automatically derive the above-mentioned quality impact analysis results as motion interference of 10%, signal-to-noise ratio influence of 40%, and signal intensity influence of 50%.

[0220] A shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention comprises a shear wave elastic imaging device that 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 at the same time determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam, and then the image quality of the shear wave elastic imaging can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and an image quality evaluation result can be obtained, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, and thereby effectively improving the accuracy of the diagnosis result.

[0221] The shear wave elastic imaging method provided in the embodiment of the present invention may further include the following steps:

[0222] Step 401: Generate shear waves in a detection target.

[0223] Step 402: transmitting a detection beam to the detection target; wherein the detection beam is used to detect the shear wave.

[0224] In an embodiment of the present invention, the shear wave elastic imaging device generates shear waves in the detection target, and the shear wave elastic imaging device can also emit a detection beam to the detection target; wherein the detection beam is used to detect the shear wave. The shear wave elastic imaging device can be a device for performing shear wave elastic imaging on the detection target. The detection target can be a human tissue, organ, etc. to be detected, for example, the detection target can be a human tissue such as thyroid, breast, liver, muscle bone or blood vessel.

[0225] In an embodiment of the present invention, the shear wave is used to perform elastic detection on the detection target.

[0226] Step 403: Receive an echo signal corresponding to the detection beam.

[0227] Step 404: Determine a signal quality parameter corresponding to the shear wave according to the echo signal.

[0228] In an embodiment of the present invention, the shear wave elasticity imaging device generates a shear wave in the detection target, and after sending a detection beam to the detection target, the shear wave elasticity imaging device can detect the shear wave through the detection beam, thereby receiving the echo signal corresponding to the detection beam.

[0229] In an embodiment of the present application, after receiving the echo signal, the shear wave elastic imaging device may perform signal processing on the echo signal to obtain a signal quality parameter corresponding to the shear wave. The signal quality parameter corresponding to the shear wave may include an intensity parameter and a noise parameter, and then the signal-to-noise ratio corresponding to the shear wave may be further determined based on the intensity parameter and the noise parameter.

[0230] In an embodiment of the present invention, after determining the signal quality parameter corresponding to the shear wave, the shear wave elastography apparatus may display the signal quality parameter.

[0231] In an embodiment of the present invention, after the shear wave elastography apparatus 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:

[0232] Step 405: Determine an image quality evaluation result according to the signal quality parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastography corresponding to the detection target.

[0233] Step 406: Display the image quality evaluation result.

[0234] In an embodiment of the present invention, after determining the signal quality parameter corresponding to the shear wave, the shear wave elastography apparatus may determine an image quality evaluation result according to the signal quality parameter.

[0235] Specifically, in an embodiment of the invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastic imaging corresponding to the detection target, that is, the image quality evaluation result can characterize the image quality of the shear wave elastic imaging. The image quality evaluation result can be a quantified value or a specific level parameter.

[0236] In an embodiment of the present invention, after determining the image quality evaluation result, the shear wave elasticity imaging device may display the image quality evaluation result.

[0237] 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 result together with the shear wave elastography.

[0238] The shear wave elastic imaging method provided in the embodiment of the present invention may further include the following steps:

[0239] Step 501: transmit an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference.

[0240] In an embodiment of the present invention, the shear wave elastic imaging device transmits an ultrasonic beam to the detection target; wherein the ultrasonic beam is used to detect motion interference; the shear wave elastic imaging device may be a device for performing shear wave elastic imaging on the detection target. The detection target may be a human tissue or organ to be detected, for example, the detection target may be a human tissue such as the thyroid gland, breast, liver, muscle bone or blood vessel.

[0241] Step 502: Receive an echo signal corresponding to the ultrasonic beam.

[0242] In an embodiment of the present invention, after transmitting an ultrasonic beam to the detection target, the shear wave elastic imaging device may receive an echo signal corresponding to the ultrasonic beam.

[0243] In an embodiment of the present invention, after the shear wave elastography device sends the ultrasonic beam to the detection target, the receiving circuit configured in the shear wave elastography device can receive the echo signal corresponding to the ultrasonic beam through a probe.

[0244] Step 503: Determine motion parameters corresponding to the motion interference according to the echo signal.

[0245] In an embodiment of the present invention, after receiving the echo signal corresponding to the ultrasonic beam, the shear wave elastography device may determine the motion parameter corresponding to the motion interference according to the echo signal, wherein the motion parameter may be a displacement parameter corresponding to the motion interference.

[0246] In an embodiment of the present invention, after determining the motion parameters corresponding to the motion disturbance, the shear wave elastography apparatus may display the motion parameters.

[0247] In an embodiment of the present invention, after the shear wave elastography apparatus determines the motion parameters corresponding to the motion disturbance according to the echo signal, that is, after step 503, the shear wave elastography method proposed by the present invention may further include the following steps:

[0248] Step 504: Determine an image quality evaluation result according to the motion parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastography corresponding to the detection target.

[0249] Step 505: Display the image quality evaluation result.

[0250] In an embodiment of the present invention, after determining the motion parameters corresponding to the motion interference according to the echo signal, the shear wave elastography apparatus may determine an image quality evaluation result according to the motion parameters.

[0251] In an embodiment of the invention, after determining the motion parameters corresponding to the motion disturbance, the shear wave elastography apparatus may further determine and display the image quality evaluation result according to the motion parameters.

[0252] In an embodiment of the invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastic imaging corresponding to the detection target, that is, the image quality evaluation result can characterize the image quality of the shear wave elastic imaging. The image quality evaluation result can be a quantified value or a specific level parameter.

[0253] 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 result together with the shear wave elastography.

[0254] Fig.16 Schematic diagram of the structure of the shear wave elastic imaging device proposed in the embodiment of the present invention Figure 1 ,like Fig.16 As shown, the shear wave elastic imaging device 1 proposed in the 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 .

[0255] The transmitting circuit 12 excites the probe to transmit an ultrasonic beam toward the detection target, wherein the ultrasonic beam is used to detect motion interference; and transmits a detection beam toward the detection target, wherein the detection beam is used to detect the shear wave.

[0256] The receiving circuit 13 receives the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the detection beam through the probe.

[0257] The processor 14 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.

[0258] The display 15 displays the intensity parameter, the signal-to-noise ratio and / or the displacement parameter.

[0259] The processor 14 determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastography corresponding to the detection target.

[0260] In the embodiment of the present invention, the display 15 displays the image quality evaluation result.

[0261] In an embodiment of the present invention, the processor 14 determines a preliminary image quality result according to the intensity parameter and the signal-to-noise ratio; and determines the image quality evaluation result according to the preliminary image quality result and the displacement parameter.

[0262] In an embodiment of the present invention, the processor 14 obtains a first weight coefficient; wherein the first weight coefficient includes a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; and based on the first weight coefficient, the intensity parameter and the signal-to-noise ratio, the preliminary result of the image quality is obtained.

[0263] In an embodiment of the present invention, the processor 14 obtains a second weight coefficient; and inputs the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model to obtain the image quality evaluation result; wherein the preset recognition model is used to quantify the image quality.

[0264] In an 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 less than the preset displacement threshold, the displacement weight coefficient is set to zero.

[0265] In an embodiment of the present invention, the processor 14 determines a detection mode corresponding to the detection target; and determines the second weight coefficient according to a correspondence between a pre-stored mode and a weight and the detection mode.

[0266] In an embodiment of the present invention, after the processor 14 determines the displacement parameter corresponding to the motion interference according to the first echo signal, it obtains a preset level threshold; and determines the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter;

[0267] The display 15 displays the exercise level.

[0268] In an embodiment of the present invention, after the processor 14 determines the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter, it analyzes the image quality evaluation result to obtain a quality impact ratio; wherein the quality impact ratio includes the respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result; and based on the quality impact ratio, a quality impact analysis result is generated.

[0269] In an embodiment of the present invention, the transmitting circuit 12 further stimulates the probe 11 to transmit a focused beam toward the detection target; wherein the focused beam is used to generate the shear wave.

[0270] Fig.17 Schematic diagram of the structure of the shear wave elastic imaging device proposed in the embodiment of the present invention Figure 2 ,like Fig.17 As shown, the shear wave elastography apparatus 1 provided in the embodiment of the present invention may further include a memory 16 storing executable instructions of the processor 14 and a communication interface 17 .

[0271] The transmitting circuit 12 stimulates the probe 11 to transmit a detection beam toward the detection target; wherein the detection beam is used to detect the shear wave.

[0272] The receiving circuit 13 receives the echo signal corresponding to the detection beam through the probe 11 .

[0273] The processor 14 determines a signal quality parameter corresponding to the shear wave according to the echo signal.

[0274] The display 15 displays the signal quality parameter.

[0275] The processor 14 determines an image quality evaluation result according to the signal quality parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastography corresponding to the detection target.

[0276] The display 15 displays the image quality evaluation result.

[0277] The transmitting circuit 12 stimulates the probe 11 to transmit an ultrasonic beam toward the detection target; wherein the ultrasonic beam is used to detect motion interference.

[0278] The receiving circuit 13 receives the echo signal corresponding to the ultrasonic beam through the probe 11 .

[0279] The processor 14 determines the motion parameter corresponding to the motion interference according to the echo signal.

[0280] The display 15 displays the motion parameters.

[0281] The processor 14 determines an image quality evaluation result according to the motion parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastography corresponding to the detection target.

[0282] The display 15 displays the image quality evaluation result.

[0283] 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 is understandable that for different devices, the electronic device used to implement the function of the processor may also be other, and the embodiment of the present invention does not specifically limit it. The shear wave elastic imaging device 1 may also include a memory 16, which may be connected to the processor 14, wherein the memory 16 is used to store executable program code, the program code includes computer operating instructions, and the memory 16 may include a high-speed RAM memory, and may also include a non-volatile memory, for example, at least two disk memories.

[0284] In the embodiment of the present invention, the memory 16 is used to store instructions and data.

[0285] In practical applications, the memory 16 may be a volatile first memory, such as a random-access first memory (RAM); or a non-volatile first memory, such as a read-only first memory (ROM), a flash first memory, a hard disk drive (HDD) or a solid-state drive (SSD); or a combination of the above types of first memories, and provide instructions and data to the processor 14.

[0286] In addition, each functional module in this embodiment can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or software functional modules.

[0287] If the integrated unit is implemented in the form of a software function module and is not sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this embodiment is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the method of this embodiment. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0288] A shear wave elastic imaging device proposed in an embodiment of the present invention transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is emitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that a shear wave elastic imaging method proposed in an embodiment of the present invention, in which the shear wave elastic imaging 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 at the same time according to the first echo signal corresponding to the ultrasonic beam, can comprehensively identify the image quality of the shear wave elastic imaging by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and obtain an image quality evaluation result, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, thereby effectively improving the accuracy of the diagnosis result.

[0289] An embodiment of the present invention provides a first computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, the shear wave elasticity imaging method as described above is implemented.

[0290] Specifically, the program instructions corresponding to a shear wave elastic imaging method in this embodiment can be stored on a storage medium such as a CD, a hard disk, a USB flash drive, etc. When the program instructions corresponding to a shear wave elastic imaging method in the storage medium are read or executed by an electronic device, the following steps are included:

[0291] Transmitting an ultrasonic beam to the detection target, wherein the ultrasonic beam is used to detect motion interference; generating shear waves in the detection target, and transmitting a detection beam to the detection target, wherein the detection beam is used to detect the shear waves;

[0292] receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam;

[0293] A displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal.

[0294] On the basis of the above steps, it may also include determining an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target.

[0295] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0296] The present invention is described with reference to implementation flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0297] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which is implemented in the implementation flow diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0298] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing the steps in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0299] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

[0300] Industrial Applicability

[0301] The embodiment of the present invention provides a shear wave elastic imaging method and device, and a computer storage medium, wherein the shear wave elastic imaging device transmits an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference; a shear wave is generated in the detection target, and a detection beam is transmitted to the detection target; wherein the detection beam is used to detect the shear wave; a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam are received; a displacement parameter corresponding to the motion interference is determined according to the first echo signal, and an intensity parameter and a signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that the embodiment of the present invention proposes a shear wave elastic imaging method, wherein the shear wave elastic imaging 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 at the same time 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 elastic imaging can be comprehensively identified by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, and an image quality evaluation result can be obtained, thereby meeting the need for image quality evaluation of shear wave elastic imaging based on multiple interference factors, thereby effectively improving the accuracy of the diagnosis result.

Claims

1. A shear wave elastic imaging method, the method comprising: Transmitting an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference, and the ultrasonic beam is used to form a B-type ultrasonic image; Generate a shear wave in a detection target, and transmit a detection beam to the detection target; wherein the detection beam is used to detect the shear wave; receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam; Determine a displacement parameter corresponding to the motion interference according to the first echo signal, wherein the displacement parameter of the latter frame of the B-type ultrasound image is determined by taking the former frame of the B-type ultrasound image as a reference frame; determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal, wherein the second echo signal is used to calculate the shear wave propagation velocity of the detection target, thereby forming a shear wave elastic image; An image quality evaluation result is determined according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of the shear wave elastic image corresponding to the detection target.

2. The method according to claim 1 further comprises displaying the intensity parameter, the signal-to-noise ratio and / or the displacement parameter.

3. The method according to claim 1, wherein: 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: The image quality evaluation result is displayed.

4. The method according to claim 1, wherein: Determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter includes: Determining preliminary image quality results according to the intensity parameter and the signal-to-noise ratio; The image quality evaluation result is determined according to the preliminary image quality result and the displacement parameter.

5. The method according to claim 4, wherein: Determining a preliminary result of image quality according to the intensity parameter and the signal-to-noise ratio includes: Obtaining a first weight coefficient; wherein the first weight coefficient includes a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; The preliminary image quality result is obtained according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

6. The method according to claim 4, wherein: Determining the image quality evaluation result according to the preliminary image quality result and the displacement parameter includes: Obtaining a second weight coefficient; The second weight coefficient, the preliminary image quality result and the displacement parameter are input into a preset recognition model to obtain the image quality evaluation result; wherein the preset recognition model is used to quantify the image quality.

7. The method according to claim 6, wherein: The second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter. Before inputting the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model and obtaining the image quality evaluation result, the method further includes: Obtaining a preset displacement threshold; When the displacement parameter is less than the preset displacement threshold, the displacement weight coefficient is set to zero.

8. The method according to claim 6, wherein: The obtaining of the second weight coefficient comprises: Determine a detection mode corresponding to the detection target; The second weight coefficient is determined according to the correspondence between the pre-stored mode and the weight and the detection mode.

9. The method according to claim 1, wherein: After determining the displacement parameter corresponding to the motion interference according to the first echo signal, the method further includes: Get the preset level threshold; Determining the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter; The sport level is displayed.

10. The method according to claim 1, wherein: 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: Analyze the image quality evaluation result to obtain a quality impact ratio; wherein the quality impact ratio includes the respective proportions of the intensity parameter, the signal-to-noise ratio, and the displacement parameter in the image quality evaluation result; A quality impact analysis result is generated according to the quality impact ratio.

11. A shear wave elastography method, the method comprising: Transmitting an ultrasonic beam to a detection target; wherein the ultrasonic beam is used to detect motion interference, and the ultrasonic beam is used to form a B-type ultrasonic image; receiving an echo signal corresponding to the ultrasonic beam; Determine a motion parameter corresponding to the motion interference according to the echo signal; wherein the motion parameter is a displacement parameter corresponding to the motion interference, and the displacement parameter of the B-type ultrasound image of the next frame is determined by taking the B-type ultrasound image of the previous frame as a reference frame; An image quality evaluation result is determined according to the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target. The method according to claim 11 , further comprising displaying the motion parameters.

13. The method according to claim 11, further comprising, The image quality evaluation result is displayed.

14. 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 excites the probe to transmit an ultrasonic beam to the detection target; wherein the ultrasonic beam is used to detect motion interference and the ultrasonic beam is used to form a B-type ultrasonic image; and transmits a detection beam to the detection target; wherein the detection beam is used to detect shear waves; The receiving circuit receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam through the probe; The processor determines a displacement parameter corresponding to the motion interference according to the first echo signal, wherein the displacement parameter of the latter frame of the B-type ultrasound image is determined by taking the former frame of the B-type ultrasound image as a reference frame; The processor determines the intensity parameter and signal-to-noise ratio corresponding to the shear wave according to the second echo signal, wherein the second echo signal is used to calculate the shear wave propagation velocity of the detection target, thereby forming a shear wave elastic image; The processor determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target.

15. The shear wave imaging device according to claim 14, wherein: The shear wave imaging device further comprises: a display, The display displays the intensity parameter, the signal-to-noise ratio and / or the displacement parameter.

16. The shear wave imaging device according to claim 15, wherein: The display displays the image quality evaluation result.

17. The shear wave imaging device according to claim 14, wherein: The processor determines a preliminary quality result according to the intensity parameter and the signal-to-noise ratio; and determines the image quality evaluation result according to the preliminary image quality result and the displacement parameter.

18. The shear wave imaging device according to claim 17, wherein: The processor obtains a first weight coefficient; wherein the first weight coefficient includes a weight value corresponding to the intensity parameter and a weight value corresponding to the signal-to-noise ratio; and obtains the preliminary image quality result based on the first weight coefficient, the intensity parameter and the signal-to-noise ratio.

19. The shear wave imaging device according to claim 17, wherein: The processor obtains a second weight coefficient; and inputs the second weight coefficient, the preliminary image quality result and the displacement parameter into a preset recognition model to obtain the image quality evaluation result; wherein the preset recognition model is used to quantify the image quality.

20. The shear wave imaging apparatus according to claim 19, wherein: The second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, The processor obtains a preset displacement threshold; and when the displacement parameter is less than the preset displacement threshold, sets the displacement weight coefficient to zero.

21. The shear wave imaging apparatus according to claim 19, wherein: The processor determines a detection mode corresponding to the detection target; and determines the second weight coefficient according to a correspondence between a pre-stored mode and a weight and the detection mode.

22. The shear wave imaging apparatus according to claim 15, wherein: After the processor determines the displacement parameter corresponding to the motion interference according to the first echo signal, it obtains a preset level threshold; and determines the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter; The display shows the exercise level.

23. The shear wave imaging apparatus according to claim 14, wherein: After determining the 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 impact ratio; wherein the quality impact ratio includes the respective proportions of the intensity parameter, the signal-to-noise ratio and the displacement parameter in the image quality evaluation result; and generates a quality impact analysis result according to the quality impact ratio.

24. The shear wave imaging device according to any one of claims 14 to 23, wherein: The transmitting circuit also stimulates the probe to transmit a focused beam toward the detection target; wherein the focused beam is used to generate the shear wave.

25. 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 excites the probe to transmit an ultrasonic beam toward the detection target; wherein the ultrasonic beam is used to detect motion interference, and the ultrasonic beam is used to form a B-type ultrasonic image; The receiving circuit receives the echo signal corresponding to the ultrasonic beam through the probe; The processor determines a motion parameter corresponding to the motion interference according to the echo signal; wherein the motion parameter is a displacement parameter corresponding to the motion interference, and the displacement parameter of the B-type ultrasound image of the next frame is determined by taking the B-type ultrasound image of the previous frame as a reference frame; The processor determines an image quality evaluation result according to the displacement parameter; wherein the image quality evaluation result is used to characterize the image quality of shear wave elastic imaging corresponding to the detection target.

26. The shear wave imaging apparatus according to claim 25, wherein: The shear wave imaging device comprises: a display, The display displays the motion parameters.

27. The shear wave imaging apparatus according to claim 26, wherein: The display displays the image quality evaluation result.

28. A computer-readable storage medium having a program stored thereon, applied to a shear wave imaging device, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 13 is implemented.

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