Shear wave elastic imaging method and device and computer storage medium

Abstract

The invention discloses a shear wave elasticity imaging method, an imaging device and a computer program. The shear wave elasticity imaging method comprises the following steps: transmitting an ultrasonic beam for detecting motion interference to a detection target; generating a shear wave in the detection target and transmitting a detection wave beam for detecting the shear wave to the detection target; receiving a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam; and determining a displacement parameter corresponding to the motion interference according to the first echo signal, and determining an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

Description

[0001] This application is a divisional application of the application with the application number "201880097002.3" and the invention title "A Shear Wave Elastography Method and Device, and a Computer Storage Medium". Technical Field

[0002] Embodiments of the present invention relate to the technical field of image quality evaluation, and in particular, to a shear wave elastography method and device, and a computer storage medium. Background Art

[0003] The elasticity of tissues, that is, the softness and hardness of tissues, is mainly reflected by ultrasonic elastography. In the prior art, in the conventional ultrasonic elastography method, that is, the pressing elastography method, different pressing forces and frequencies will cause defects that the repeatability and stability of imaging cannot be guaranteed. In contrast, shear wave elastography is to identify and detect shear waves generated inside tissues and their propagation parameters, and then image these propagation parameters to quantitatively and visually obtain the hardness differences between tissues. Since shear wave elastography is generated by ultrasonic waves emitted by the probe and no longer depends on the operator's specific pressure on the tissue, it can effectively make up for the defects existing in the pressing elastography. At the same time, the quantitative measurement results of shear wave elastography also make the doctor's diagnosis more objective, so that shear wave elastography has gradually become an elastography method used more by current doctors.

[0004] However, for shear wave elastography technology, factors such as the signal intensity of shear waves, the noise of shear waves, and movement interference factors such as the movement of the probe, the patient's breathing, heartbeat, and blood vessel pulsation will all interfere with the identification and detection of the position and propagation of shear waves, resulting in large differences in the image quality of shear wave elastography and affecting the diagnostic results. Summary of the Invention

[0005] To solve the above technical problems, embodiments of the present invention are expected to provide a shear wave elastography method and device, and a computer storage medium, which can evaluate the image quality of the obtained shear wave elastography and effectively improve the accuracy of the diagnostic results.

[0006] The technical solution of the embodiments of the present invention is implemented as follows:

[0007] Embodiments of the present invention provide a shear wave elastography method, and the method includes:

[0008] Emitting an ultrasonic beam to the detection target; wherein, the ultrasonic beam is used to detect movement interference;

[0009] Generating a shear wave in the detection target and emitting a detection beam to the detection target; wherein, the detection beam is used to detect the shear wave;

[0010] Receive a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam;

[0011] Determine a displacement parameter corresponding to motion interference according to the first echo signal, and determine an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

[0012] In one embodiment, it further includes displaying the intensity parameter, the signal-to-noise ratio, and / or the displacement parameter.

[0013] In one embodiment, it further includes 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 the shear wave elastography corresponding to the detection target.

[0014] 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:

[0015] Display the image quality evaluation result.

[0016] In one embodiment, determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter includes:

[0017] Determine a preliminary image quality result according to the intensity parameter and the signal-to-noise ratio;

[0018] Determine the image quality evaluation result according to the preliminary image quality result and the displacement parameter.

[0019] In one embodiment, determining the preliminary image quality result according to the intensity parameter and the signal-to-noise ratio includes:

[0020] Obtain 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;

[0021] Obtain the preliminary image quality result according to the first weight coefficient, the intensity parameter, and the signal-to-noise ratio.

[0022] In one embodiment, determining the image quality evaluation result according to the preliminary image quality result and the displacement parameter includes:

[0023] Obtain a second weight coefficient;

[0024] Input the second weight coefficient, the preliminary result of the image quality, and the displacement parameter into a preset recognition model to obtain the image quality evaluation result; wherein, the preset recognition model is used for quantifying the image quality.

[0025] In one embodiment, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter. Before inputting the second weight coefficient, the preliminary result of the image quality, and the displacement parameter into the preset recognition model to obtain the image quality evaluation result, the method further includes:

[0026] Obtain a preset displacement threshold;

[0027] When the displacement parameter is less than the preset displacement threshold, set the displacement weight coefficient to zero.

[0028] In one embodiment, obtaining the second weight coefficient includes:

[0029] Determine the detection mode corresponding to the detection target;

[0030] Determine the second weight coefficient according to the corresponding relationship between the pre-stored mode and the weight and the detection mode.

[0031] In one embodiment, after determining the displacement parameter corresponding to the motion interference according to the first echo signal, the method further includes:

[0032] Obtain a preset level threshold;

[0033] Determine the motion level corresponding to the detection target according to the preset level threshold and the displacement parameter;

[0034] Display the motion level.

[0035] 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:

[0036] Analyze the image quality evaluation result to obtain a quality influence ratio; wherein, the quality influence ratio includes the respective proportions of the intensity parameter, the signal-to-noise ratio, and the displacement parameter in the image quality evaluation result;

[0037] Generate a quality influence analysis result according to the quality influence ratio.

[0038] In one embodiment, the ultrasonic beam is used to detect motion interference, and the ultrasonic beam is used to form a B-mode ultrasound image.

[0039] An embodiment of the present invention provides a shear wave elastography method, and the method includes:

[0040] Generate shear waves in the detection target;

[0041] Transmit a detection beam to the detection target; wherein, the detection beam is used to detect the shear waves;

[0042] Receive the echo signal corresponding to the detection beam;

[0043] Determine the signal quality parameter corresponding to the shear waves according to the echo signal.

[0044] In one embodiment, it further includes: displaying the signal quality parameter.

[0045] In one embodiment, it further includes:

[0046] Determine the image quality evaluation result according to the signal quality parameter; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target;

[0047] Display the image quality evaluation result.

[0048] An embodiment of the present invention provides a shear wave elastography method, and the method includes:

[0049] Transmit an ultrasonic beam to the detection target; wherein, the ultrasonic beam is used to detect motion interference;

[0050] Receive the echo signal corresponding to the ultrasonic beam;

[0051] Determine the motion parameter corresponding to the motion interference according to the echo signal.

[0052] In one embodiment, it further includes displaying the motion parameter.

[0053] In one embodiment, determine the image quality evaluation result according to the motion parameter; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target;

[0054] Display the image quality evaluation result.

[0055] An embodiment of the present invention provides a shear wave imaging device, and the shear wave imaging device includes: a probe, a transmitting circuit, a receiving circuit and a processor,

[0056] The transmitting circuit drives the probe to transmit an ultrasonic beam to the detection target; wherein, the ultrasonic beam is used to detect motion interference; and to transmit a detection beam to the detection target; wherein, the detection beam is used to detect shear waves;

[0057] 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;

[0058] 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.

[0059] In one embodiment, the shear wave imaging device further includes: a display,

[0060] The display displays the intensity parameter, the signal-to-noise ratio, and / or the displacement parameter.

[0061] In one embodiment, the processor determines an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target.

[0062] In one embodiment, the display displays the image quality evaluation result.

[0063] 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.

[0064] 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 image quality result according to the first weight coefficient, the intensity parameter, and the signal-to-noise ratio.

[0065] 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 perform quantization processing on the image quality.

[0066] In one embodiment, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter,

[0067] 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.

[0068] In one embodiment, the processor determines a detection mode corresponding to the detection target; and determines the second weight coefficient according to the corresponding relationship between the pre-stored mode and the weight and the detection mode.

[0069] In one embodiment, 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;

[0070] The display shows the motion level.

[0071] In one embodiment, after the processor 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 influence ratio; wherein, the quality influence 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 influence analysis result according to the quality influence ratio.

[0072] In one embodiment, the transmitting circuit also excites the probe to transmit a focused beam to the detection target; wherein, the focused beam is used to generate the shear wave. The above shear wave can also be generated by other means such as external mechanical vibration, periodic motion of tissues or organs, etc.

[0073] An embodiment of the present invention provides a shear wave imaging device, which includes: a probe, a transmitting circuit, a receiving circuit and a processor,

[0074] The transmitting circuit excites the probe to transmit a detection beam to the detection target; wherein, the detection beam is used to detect the shear wave;

[0075] The receiving circuit receives the echo signal corresponding to the detection beam through the probe;

[0076] The processor determines the signal quality parameter corresponding to the shear wave according to the echo signal.

[0077] In one embodiment, the shear wave imaging device includes: a display,

[0078] The display shows the signal quality parameter.

[0079] In one embodiment, the processor determines the image quality evaluation result according to the signal quality parameter; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target;

[0080] The display shows the image quality evaluation result.

[0081] An embodiment of the present invention provides a shear wave imaging device, which includes: a probe, a transmitting circuit, a receiving circuit and a processor,

[0082] The transmitting circuit excites the probe to emit an ultrasonic beam towards the detection target; wherein, the ultrasonic beam is used for detecting motion interference;

[0083] The receiving circuit receives the echo signal corresponding to the ultrasonic beam through the probe;

[0084] The processor determines the motion parameters corresponding to the motion interference according to the echo signal.

[0085] In one embodiment, the shear wave imaging device includes: a display,

[0086] The display displays the motion parameters.

[0087] In one embodiment, the processor determines an image quality evaluation result according to the motion parameters; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target;

[0088] The display displays the image quality evaluation result.

[0089] An embodiment of the present invention provides a computer-readable storage medium, on which a program is stored and applied to a shear wave imaging device. When the program is executed by a processor, the above-mentioned shear wave elastography method is implemented.

[0090] An embodiment of the present invention provides a shear wave elastography method, device, and computer storage medium. The shear wave imaging device emits an ultrasonic beam towards the detection target; wherein, the ultrasonic beam is used for detecting motion interference; a shear wave is generated in the detection target and a detection beam is emitted towards the detection target; wherein, the detection beam is used for detecting the shear wave; the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the detection beam are received; the displacement parameters corresponding to the motion interference are determined according to the first echo signal, and the intensity parameter and signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. It can be seen that in the shear wave elastography method proposed in the embodiment of the present invention, the shear wave imaging device can determine the signal quality parameters of the shear wave, such as the intensity parameter and signal-to-noise ratio, according to the second echo signal corresponding to the detection beam, and at the same time determine the displacement parameters corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam. Then, by combining the displacement parameters and the signal quality parameters of the shear wave, the image quality of the shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of evaluating the image quality of shear wave elastography based on multiple interference factors, and effectively improving the accuracy of the diagnosis result. Description of the Drawings

[0091] Figure 1Schematic of the implementation process of a shear wave elastography method proposed in an embodiment of the present invention Figure 1 ;

[0092] Figure 2 Schematic of the propagation of shear waves in water;

[0093] Figure 3 Schematic of the propagation of shear waves in blood;

[0094] Figure 4 Schematic of the propagation of shear waves in tissue Figure 1 ;

[0095] Figure 5 Schematic of the propagation of shear waves in tissue Figure 2 ;

[0096] Figure 6 Schematic of the propagation of shear waves in tissue Figure 3 ;

[0097] Figure 7 Schematic of the echo signal of the previous frame of the B image in an embodiment of the present invention;

[0098] Figure 8 Schematic of the echo signal of the next frame of the B image in an embodiment of the present invention;

[0099] Figure 9 Schematic of the implementation process of a shear wave elastography method proposed in an embodiment of the present invention Figure 2 ;

[0100] Figure 10 Schematic of the implementation process of a shear wave elastography method proposed in an embodiment of the present invention Figure 3 ;

[0101] Figure 11 Schematic of the implementation process of a shear wave elastography method proposed in an embodiment of the present invention Figure 4 ;

[0102] Figure 12 Schematic of the implementation process of a shear wave elastography method proposed in an embodiment of the present invention Figure 5 ;

[0103] Figure 13 Schematic of the motion level in an embodiment of the present invention Figure 1 ;

[0104] Figure 14 Schematic of the motion level in an embodiment of the present invention Figure 2 ;

[0105] Figure 15 Schematic of the implementation process of a shear wave elastography method proposed in an embodiment of the present inventionFigure 6 ;

[0106] Figure 16 Schematic diagram of the composition structure of the shear wave elastography device proposed in the embodiment of the present invention Figure 1 ;

[0107] Figure 17 Schematic diagram of the composition structure of the shear wave elastography device proposed in the embodiment of the present invention Figure 2 。 Detailed implementation manners

[0108] In order to understand the features and technical content of the embodiments of the present invention in more detail, the implementation of the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The accompanying drawings are only for reference and illustration, and are not used to limit the embodiments of the present invention.

[0109] Shear waves are waves in which the propagation direction is perpendicular to the vibration direction of the medium particles. The probe emits a specific focused ultrasonic beam into the detection target to form an acoustic radiation force, which, as a bipolar shear wave source, further generates shear waves propagating in the transverse direction. Then the probe emits an acoustic beam for detecting the propagation of the shear wave into the tissue again and receives the echo for signal processing. By calculating the displacement field that changes with time at each position in the tissue, the propagation speed of the shear wave at these positions can be reconstructed, and then a shear wave elastogram can be formed. While forming the shear wave elastogram, the echo signal can be used to analyze and judge the quality of the shear wave signal, and a quantified confidence level value can be obtained to identify the quality of the current elastogram. Further, it is also possible to judge the movement of the detection target and the movement of the probe caused by factors such as breathing, grade the strength of the movement, and combine the signal quality judgment to give an image quality evaluation result. Finally, the obtained shear wave elastogram, the quantified image quality evaluation result, and the movement strength grading indication are displayed simultaneously.

[0110] Next, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. It can be understood that the specific embodiments described herein are only used to explain the related application, rather than limiting the application. In addition, it should be noted that for the sake of description, only parts related to the related application are shown in the drawings.

[0111] The embodiment of the present invention provides a shear wave elastography method Figure 1 Schematic diagram of the implementation process of a shear wave elastography method proposed in the embodiment of the present invention Figure 1 ,as Figure 1 shown. In the embodiment of the present invention, the shear wave elastography device performing the shear wave elastography method may include the following steps:

[0112] Step 101: Transmit an ultrasonic beam towards the detection target; wherein, the ultrasonic beam is used for detecting motion interference; generate a shear wave in the detection target, and transmit a detection beam towards the detection target; wherein, the detection beam is used for detecting the shear wave.

[0113] In an embodiment of the present invention, the above-mentioned shear wave elastography device can transmit an ultrasonic beam towards the detection target; wherein, the ultrasonic beam is used for detecting motion interference; the device can also generate a shear wave in the detection target, and then transmit a detection beam towards the above-mentioned detection target; wherein, the detection beam is used for detecting the above-mentioned shear wave. Wherein, the above-mentioned shear wave elastography device can be a device for performing shear wave elastography on the above-mentioned detection target. The above-mentioned detection target can be a human tissue, organ, etc. to be detected. For example, the above-mentioned detection target can be a human tissue such as the thyroid gland, breast, liver, musculoskeletal, or blood vessel.

[0114] In an embodiment of the present invention, the above-mentioned ultrasonic beam is used for detecting motion interference, and this ultrasonic beam can be a B-mode beam and can be used for obtaining a B-mode ultrasound image; the above-mentioned shear wave can be generated by a focused beam; the above-mentioned detection beam can be used for detecting the above-mentioned shear wave.

[0115] In an embodiment of the present invention, the above-mentioned shear wave can be used for performing elastic detection on the above-mentioned detection target.

[0116] In an embodiment of the present invention, the above-mentioned shear wave elastography 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 towards the above-mentioned detection target, forming an acoustic radiation force. This acoustic radiation force serves as a bipolar shear wave source to generate a shear wave propagating in the transverse direction, thereby realizing the generation of a shear wave in the above-mentioned detection target.

[0117] Step 102: Receive a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam.

[0118] In an embodiment of the present invention, after the above-mentioned shear wave elastography device transmits the above-mentioned ultrasonic beam towards the above-mentioned detection target, it can receive the first echo signal corresponding to the above-mentioned ultrasonic beam; after the above-mentioned shear wave elastography device generates a shear wave in the above-mentioned detection target and transmits a detection beam towards the above-mentioned detection target, it can receive the second echo signal corresponding to the above-mentioned detection beam.

[0119] In an embodiment of the present application, the above-mentioned shear wave elastography device transmits an ultrasonic beam towards the above-mentioned detection target, generates a shear wave in the detection target, and transmits a detection beam towards the above-mentioned detection target, and then can receive the first echo signal corresponding to the above-mentioned ultrasonic beam and the second echo signal corresponding to the above-mentioned detection beam.

[0120] 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 by the shear wave elastography device can receive the first echo signal corresponding to the ultrasonic beam through the probe.

[0121] In an embodiment of the present invention, the shear wave elastography device generates a shear wave in the detection target and sends a detection beam to the detection target. The shear wave elastography device can detect the shear wave through the detection beam, and thus receive the second echo signal corresponding to the detection beam through the probe.

[0122] Step 103: Determine the displacement parameter corresponding to the motion interference 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.

[0123] In an embodiment of the present invention, after the shear wave elastography device receives the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the detection beam, it can determine the displacement parameter corresponding to the motion interference according to the first echo signal, and at the same time can determine the intensity parameter and signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

[0124] In an embodiment of the present application, after the shear wave elastography device receives the second echo signal, it can perform signal processing on the second echo signal, and then obtain the intensity parameter corresponding to the shear wave and the noise parameter, and then further determine the signal-to-noise ratio corresponding to the shear wave according to the intensity parameter and the noise parameter.

[0125] In an embodiment of the present invention, the shear wave elastography device can first determine the intensity parameter corresponding to the shear wave according to the second echo signal, where the intensity parameter is used to characterize the signal intensity corresponding to the shear wave. The shear wave elastography 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 according to the second echo signal and the noise parameter, that is, the ratio of the shear wave signal amplitude to the noise level.

[0126] In an embodiment of the present invention, the imaging of the shear wave propagation speed or Young's modulus depends on the shear wave signal. Therefore, it is necessary to judge the quality of the shear wave signal. Specifically, judging the quality of the shear wave signal mainly involves identifying and making a quantitative judgment on parameters such as the strength and signal-to-noise ratio of the shear wave signal.

[0127] Figure 2 Schematic diagram of shear wave propagation in water, as 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).

[0128] Figure 3 is a schematic diagram of the propagation of shear waves in blood. As Figure 3 shown, due to the presence of substances such as red blood cells and plasma in blood, compared with water, there will be some shear wave signals with extremely low intensity in blood. However, due to the extremely low intensity of this signal, it is usually mixed with noise. In the figure, the amplitude of the shear wave signal is 4, and the noise level is (-2, 2). Therefore, it is very difficult to calculate the accurate shear wave propagation speed based on this signal.

[0129] Figure 4 is a schematic diagram of the propagation of shear waves in tissue Figure 1 , as Figure 4 shown, the shear wave signal is significantly stronger than the surrounding noise. Among them, the amplitude of the shear wave signal is 30, and the noise level is (-2, 2).

[0130] Figure 5 is a schematic diagram of the propagation of shear waves in tissue Figure 2 , as Figure 5 shown, compared with Figure 4 , the system noise has increased a lot, so it will affect the calculation of the shear wave propagation speed. Among them, the amplitude of the shear wave signal is 30, and the noise level is (-5, 5).

[0131] Figure 6 is a schematic diagram of the propagation of shear waves in tissue Figure 3 , as Figure 6 shown, compared with Figure 4 , the system noise level is still (-2, 2). However, due to the attenuation during the propagation of shear waves, the signal intensity of the shear wave decreases, and the amplitude of the shear wave signal is 8.

[0132] In the embodiments of the present invention, the above-mentioned shear wave elastography device can further determine the displacement parameter corresponding to the motion interference according to the above-mentioned first echo signal.

[0133] In the embodiments of the present invention, shear wave elastography can generate the above-mentioned shear waves by emitting focused beams to the above-mentioned detection target, and detect the shear wave propagation speeds at various positions corresponding to the above-mentioned detection target, so as to obtain the hardness information image of the above-mentioned detection target. Specifically, in the embodiments of the present invention, when the above-mentioned shear wave elastography device performs the wave speed detection of the above-mentioned shear waves, it can continuously emit multiple detection ultrasonic 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 of the displacement with time at this position during the propagation of the shear wave, and then determine the propagation speed of the shear wave at this position.

[0134] In an embodiment of the present invention, measuring the propagation speed of shear waves at each position is a key step in shear wave elastography. However, motion interferences such as the movement of the detection target caused by breathing, heartbeat, etc., and the movement of the probe may introduce serious related errors, resulting in a change in the imaging plane, or causing a change in the speckle pattern at the same position in the imaging region corresponding to the detection target, thereby making it impossible to accurately measure the propagation speed of the shear wave, and further reducing the image quality of the shear wave elastography. Therefore, in the shear wave elastography method proposed by 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.

[0135] In an embodiment of the present invention, when the shear wave elastography device determines the strength of the motion interference according to the first echo signal, specifically, on the basis of the image obtained through the first echo signal, the absolute displacements at multiple preset positions in the entire region of one frame of the image are respectively determined, and then the average value corresponding to the absolute displacements at the multiple preset positions is calculated, so as to determine the average value corresponding to the absolute displacements at the multiple preset positions as the displacement parameter of this frame of the image, thereby being used to evaluate the degree of motion interference.

[0136] In an embodiment of the present application, when the shear wave elastography device determines the displacement parameter according to the first echo signal, not only can the displacement parameter be determined according to the B image, but also the absolute displacements at multiple preset positions in the entire region of one frame of the image can be determined on the basis of the RF data obtained through the first echo signal, and then the average value corresponding to the absolute displacements at the multiple preset positions is calculated, so as to determine the average value corresponding to the absolute displacements at the multiple preset positions as the displacement parameter of this frame of the image. Among them, after taking the envelope and logarithmic compression of the RF data obtained through the first echo signal, B-mode imaging can be obtained, that is, the B image is obtained.

[0137] In an embodiment of the present invention, Figure 7 is a schematic diagram of the echo signal of the previous frame of the B image in the embodiment of the present invention. As Figure 7 shown, any circle represents any data point in the detection target, and each data point has a corresponding data block. The black dots represent the preset positions where the absolute displacements need to be calculated. Among them, 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 of the image of this frame. Based on the above Figure 7 , Figure 8 is a schematic diagram of the echo signal of the next frame of the B image in the embodiment of the present invention. As Figure 8 shown, takeFigure 7 As a reference frame, the above-mentioned shear wave elastography device can adopt a correlation-based method. First, in the search area of the subsequent frame image, it searches for the data block 2 that is most matched and relevant to the data block 1, so as to further obtain the absolute displacement d of the preset position A. Specifically, the measurement of the above-mentioned correlation can be determined by indicators such as the sum of the absolute values of the differences between the data blocks in the previous frame image and the subsequent frame image, the sum of the squares of the differences, or the normalized correlation coefficient.

[0138] In an embodiment of the present invention, after the above-mentioned shear wave elastography device determines the absolute displacements of all the above-mentioned preset positions, it can then calculate and obtain the average value corresponding to all the above-mentioned absolute displacements, so as to determine the average value corresponding to the absolute displacements of all the above-mentioned preset positions as the above-mentioned displacement parameter. For example, based on the above Figure 7 and Figure 8 , after the above-mentioned shear wave elastography device calculates the absolute displacements corresponding to all the preset positions in the B image, it performs an average value operation on all the absolute displacements, and then can calculate and obtain the displacement parameter of the subsequent frame image with the previous frame image as the reference frame.

[0139] In an embodiment of the present invention, during the process of calculating the average value corresponding to the absolute displacements of all the above-mentioned preset positions by the above-mentioned shear wave elastography device, it can first eliminate the absolute displacements of some preset positions. For example, when the amplitude of the data block corresponding to a certain preset position among all the above-mentioned preset positions is lower than the preset amplitude threshold, it can be considered that the calculation of the absolute displacement of this preset position is inaccurate. Therefore, the absolute displacement of this preset position can be eliminated and not considered.

[0140] In an embodiment of the present application, after the above-mentioned shear wave elastography device determines the displacement parameter corresponding to the motion interference and determines the intensity parameter and signal-to-noise ratio corresponding to the above-mentioned shear wave at the same time, it can display the above-mentioned intensity parameter, the above-mentioned signal-to-noise ratio, and / or the above-mentioned displacement parameter.

[0141] In an embodiment of the present application, after the above-mentioned shear wave elastography device determines the displacement parameter corresponding to the motion interference according to the above-mentioned first echo signal and determines the intensity parameter and signal-to-noise ratio corresponding to the above-mentioned shear wave according to the above-mentioned second echo signal, that is, after step 103, the method for the above-mentioned shear wave elastography device to perform shear wave elastography may further include the following steps:

[0142] Step 104: Determine an image quality evaluation result according to the intensity parameter, signal-to-noise ratio, and displacement parameter; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target.

[0143] In an embodiment of the present invention, after the shear wave elastography device determines the displacement parameter corresponding to the motion interference according to the first echo signal, and determines the intensity parameter and the signal-to-noise ratio corresponding to the shear wave according to the second echo signal, it may determine an image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter.

[0144] Specifically, in an embodiment of the invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastography corresponding to the detection target, that is, the image quality evaluation result can characterize the level of the image quality of the shear wave elastography. Among them, the image quality evaluation result can be a quantified value or a specific grade parameter.

[0145] In an embodiment of the present invention, after the shear wave elastography device determines the intensity parameter and the signal-to-noise ratio, it may first determine a 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, and further, the image quality of the shear wave imaging can be evaluated more accurately.

[0146] In an embodiment of the present application, after the shear wave elastography device determines the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter, that is, after step 104, the method for the shear wave elastography device to perform image quality evaluation may further include the following steps:

[0147] Step 105: Display the image quality evaluation result.

[0148] In an embodiment of the present invention, after the shear wave elastography device determines the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio, and the displacement parameter, it may display the image quality evaluation result.

[0149] In an embodiment of the present invention, after the shear wave elastography device obtains the image quality evaluation result of the shear wave elastography, it may display the image quality evaluation result together while displaying the shear wave elastography.

[0150] A shear wave elastography method proposed by an embodiment of the present invention, wherein a shear wave elastography device emits an ultrasonic beam towards 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 towards 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. Thus, it can be seen that for a shear wave elastography method proposed by an embodiment of the present invention, the shear wave elastography device can determine signal quality parameters of the shear wave, such as intensity parameters and signal-to-noise ratios, 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. Then, by combining the displacement parameter and the signal quality parameter of the shear wave, the image quality of the shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of image quality evaluation for shear wave elastography based on multiple interference factors, and further effectively improving the accuracy of the diagnosis result.

[0151] In an embodiment of the present invention, Figure 9 is a schematic implementation flow of a shear wave elastography method proposed by an embodiment of the present invention Figure 2 , as Figure 9 shown, the method for the shear wave elastography device to determine the image quality evaluation result according to the above-mentioned intensity parameter, the above-mentioned signal-to-noise ratio, and the above-mentioned displacement parameter may include the following steps:

[0152] Step 104a: Determine a preliminary image quality result according to the intensity parameter and the signal-to-noise ratio.

[0153] In an embodiment of the present invention, after the shear wave elastography device determines the above-mentioned intensity parameter and the above-mentioned signal-to-noise ratio corresponding to the above-mentioned shear wave according to the above-mentioned second echo signal and the above-mentioned noise parameter, it may first determine the above-mentioned preliminary quality result corresponding to the shear wave elastography according to the above-mentioned intensity parameter and the above-mentioned signal-to-noise ratio. Wherein, the above-mentioned preliminary image quality result is used to characterize the preliminary determination of the image quality affected by the above-mentioned shear wave signal on the above-mentioned shear wave elastography.

[0154] In an embodiment of the present invention, since the strength of the above-mentioned shear wave signal and the corresponding signal-to-noise ratio are important factors for measuring the image quality of the above-mentioned shear wave elastography, the above-mentioned shear wave elastography device may first determine the above-mentioned preliminary image quality result corresponding to the above-mentioned shear wave according to the above-mentioned intensity parameter and the above-mentioned signal-to-noise ratio. Specifically, the above-mentioned shear wave elastography device may assign different weight parameters to the above-mentioned intensity parameter and the above-mentioned signal-to-noise ratio to comprehensively judge the above-mentioned preliminary image quality result.

[0155] In an embodiment of the present invention, the above shear wave elastography device may preset a first weight coefficient, and then further determine the preliminary result of the image quality according to the first weight coefficient, the intensity parameter, and the signal-to-noise ratio.

[0156] 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. Among them, the preliminary result of the image quality may be the preliminary image quality of the shear wave elastography obtained by comprehensive judgment and quantization. For example, the shear wave elastography device may obtain the preliminary quality result according to formula (1):

[0157] Q = x*A + y*SNR (1)

[0158] Where: Q is the preliminary result of the quality, 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.

[0159] In an embodiment of the present invention, the shear wave elastography device may identify the influence of interference such as system noise of the device and internal changes of the detection target on the preliminary image quality of the shear wave elastography through the preliminary result of the image quality.

[0160] Step 104b: Determine the image quality evaluation result according to the preliminary result of the quality and the displacement parameter.

[0161] In an embodiment of the present invention, after the shear wave elastography device obtains the preliminary result of the image quality and determines the displacement parameter corresponding to the motion interference according to the first echo signal, it may determine the image quality evaluation result according to the preliminary result of the image quality and the displacement parameter.

[0162] In an embodiment of the present invention, the shear wave elastography device may assign corresponding weight coefficients to the preliminary result of the image quality and the displacement parameter according to the detection mode corresponding to the detection target, and then determine the image quality evaluation result according to the preliminary result of the image quality, the displacement parameter, and the weight coefficient.

[0163] In an embodiment of the present invention, the weights corresponding to different detection modes are also different. Therefore, the shear wave elastography device may first determine the detection mode.

[0164] In an embodiment of the present invention, Figure 10 is a schematic implementation flow of a shear wave elastography method proposed in an embodiment of the present invention Figure 3 ; as Figure 10As shown, the method for the shear wave elastography device to determine the above image quality evaluation result according to the above initial image quality result and the above displacement parameter may include the following steps:

[0165] Step 201, obtain the second weight coefficient.

[0166] In an embodiment of the present invention, the above shear wave imaging device may first obtain the second weight coefficient.

[0167] In an embodiment of the present invention, the above second weight coefficient may include the weight value corresponding to the above displacement parameter and the weight value corresponding to the above initial image quality result.

[0168] In an embodiment of the present invention, when the above shear wave imaging device obtains the above second weight coefficient, it may specifically include the following steps:

[0169] Step 201a, determine the detection mode corresponding to the detection target.

[0170] In an embodiment of the present invention, the above shear wave elastography device may first determine the above detection mode corresponding to the above detection target according to the above detection target.

[0171] In an embodiment of the present invention, the above detection target may have its corresponding above detection mode. Specifically, the above shear wave elastography device may distinguish the above detection target according to different clinical application situations. For example, if the detection target is tissue organs such as the breast and thyroid, when performing shear wave elastography, the influence of respiratory motion interference on the elastic image is small, so the corresponding detection mode is a mode with a smaller respiratory motion weight; on the other hand, if the detection target is tissue organs such as the liver, when performing shear wave elastography, the influence of respiratory motion interference on the elastic image is large, so the corresponding detection mode is a mode with a larger respiratory motion weight.

[0172] Step 201b, determine the second weight coefficient according to the corresponding relationship between the pre-stored mode and the weight and the detection mode.

[0173] In an embodiment of the present invention, after the above shear wave elastography device determines the above detection mode corresponding to the above detection target according to the above detection target, it may determine the second weight coefficient according to the corresponding relationship between the pre-stored mode and the weight and the above detection mode.

[0174] In an embodiment of the present invention, the above shear wave elastography device may pre-store the corresponding relationship between the above pre-stored mode and the weight, that is, different second weight coefficients may be allocated to different detection modes in advance.

[0175] In an embodiment of the present invention, for detection targets such as the breast and thyroid where the influence of respiratory motion interference on the elastic image is relatively small, the above-mentioned shear wave elastography 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 elastography device can increase the weight of motion interference when allocating the second weight coefficient.

[0176] Step 202: Input the second weight coefficient, the preliminary image quality result, and the displacement parameter into a preset recognition model to obtain an image quality evaluation result.

[0177] In an embodiment of the present invention, after the above-mentioned shear wave elastography device obtains the above-mentioned second weight coefficient, it can input the above-mentioned second weight coefficient, the above-mentioned preliminary image quality result, and the above-mentioned displacement parameter into a preset recognition model, so as to obtain the above-mentioned image quality evaluation result.

[0178] In an embodiment of the present invention, after the above-mentioned shear wave elastography device determines the above-mentioned second weight coefficient, it can combine the above-mentioned displacement parameter and the above-mentioned preliminary image quality result, that is, combine the above-mentioned displacement parameter, the above-mentioned intensity parameter, and the above-mentioned signal-to-noise ratio, to perform an overall credibility recognition and calculation on the image quality of the above-mentioned shear wave elastography, so as to identify the image quality of the current shear wave elastography and the accuracy of the measurement result.

[0179] In an embodiment of the present invention, the above-mentioned shear wave elastography device can preset the above-mentioned preset recognition model, wherein the above-mentioned preset recognition model is used to perform quantization processing on the image quality of shear wave elastography, and the above-mentioned preset recognition model can include various different calculation models.

[0180] It should be noted that, in an embodiment of the present invention, the above-mentioned preset recognition model can be a linear model related to the above-mentioned displacement parameter and the above-mentioned preliminary image quality result, or a non-linear model related to the above-mentioned displacement parameter and the above-mentioned preliminary image quality result. For example, the above-mentioned preset recognition model can be a linear weighted summation calculation model for the above-mentioned displacement parameter and the above-mentioned preliminary image quality result in formula (2).

[0181] Q total = a*Q + b*D (2)

[0182] Wherein, Q total is the image quality evaluation result, D is the displacement parameter, Q is the preliminary quality result, and a and b are respectively the second weight coefficients corresponding to the preliminary quality result and the displacement parameter. Among them, since the larger the displacement parameter, the worse the corresponding image quality, therefore, in an embodiment of the present invention, the displacement weight coefficient b can be a negative value.

[0183] In an embodiment of the present invention, in addition to a linear model such as the above formula (2), the preset recognition model may also be a non-linear model. For example, threshold processing may be performed on the displacement parameter D, that is, when D is lower than a preset displacement threshold, the displacement weight coefficient b is set to 0.

[0184] It should be noted that in an embodiment of the present invention, the above formula (1) and the above formula (2) only represent a way of linearly combining the above signal-to-noise ratio, the above intensity parameter, and the above displacement parameter. In an embodiment of the present invention, there may also be other non-linear combination methods. Specifically, the above shear wave elastography device may perform threshold processing, secondary processing, or logarithmic form processing on factors such as 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):

[0185] Q total = (1 - c * D / D max ) * Q (3)

[0186] Wherein, Q total is the image quality evaluation result, D is the displacement parameter, Q is the preliminary quality result, D max represents the maximum preset 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, the lower the image quality evaluation result Q total .

[0187] A shear wave elastography method proposed in an embodiment of the present invention, wherein a shear wave elastography device emits an ultrasonic beam towards 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 towards 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. Thus, it can be seen that in a shear wave elastography method proposed in an embodiment of the present invention, the shear wave elastography device can determine the intensity parameter and the signal-to-noise ratio of the shear wave according to the second echo signal corresponding to the detection beam, and 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 combine the displacement parameter, the intensity parameter, and the signal-to-noise ratio to comprehensively identify the image quality of the shear wave elastography, obtain an image quality evaluation result, thereby meeting the requirement of image quality evaluation of shear wave elastography based on multiple interference factors, and further effectively improving the accuracy of the diagnosis result.

[0188] In an embodiment of the present invention, Figure 11Schematic implementation process of a shear wave elastography method proposed in an embodiment of the present invention Figure 4 , as Figure 11 shown, before the shear wave elastography device 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, that is, before step 202, the method for the shear wave elastography device to evaluate the image quality may further include the following steps:

[0189] Step 203: Obtain a preset displacement threshold.

[0190] In an embodiment of the present invention, before the shear wave elastography device inputs 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, it may first obtain the preset displacement threshold.

[0191] It should be noted that in an embodiment of the present invention, the second weight coefficient may include the displacement weight coefficient corresponding to the displacement parameter.

[0192] In an embodiment of the present invention, the preset displacement threshold may be used to eliminate the displacement parameter. Specifically, in an embodiment of the present invention, before the shear wave elastography device calculates the image quality evaluation result according to the preset recognition model, it may first perform threshold processing on the displacement parameter, that is, when the displacement parameter is lower than the preset displacement threshold, it can be considered that the displacement parameter is inaccurate, so the influence of the displacement parameter on the image quality of the shear wave imaging can be ignored.

[0193] Step 204: When the displacement parameter is less than the preset displacement threshold, set the displacement weight coefficient to zero.

[0194] In an embodiment of the present invention, after the shear wave elastography device obtains the preset displacement threshold, if the displacement parameter is less than the preset displacement threshold, it may set the displacement weight coefficient to zero.

[0195] In an embodiment of the present invention, after the shear wave elastography device obtains the preset displacement threshold, it may compare the preset displacement threshold with the displacement parameter. When the displacement parameter is less than the preset displacement threshold, the shear wave elastography device may consider that the influence of the displacement parameter on the image quality of the shear wave imaging is very small, that is, the influence of the displacement parameter can be ignored, and then the image quality evaluation parameter may set the displacement weight coefficient to zero.

[0196] A shear wave elastography method proposed by an embodiment of the present invention, in which a shear wave elastography device emits an ultrasonic beam towards 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 towards 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. Thus, it can be seen that for a shear wave elastography method proposed by an embodiment of the present invention, the shear wave elastography device can determine the intensity parameter and the signal-to-noise ratio of the shear wave according to the second echo signal corresponding to the detection beam, and at the same time determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam. Then, by combining the displacement parameter, the intensity parameter, and the signal-to-noise ratio, the image quality of the shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of image quality evaluation for shear wave elastography based on multiple interference factors, and effectively improving the accuracy of the diagnosis result.

[0197] In an embodiment of the present invention, Figure 12 is a schematic flowchart of the implementation of a shear wave elastography method proposed by an embodiment of the present invention Figure 5 , as Figure 12 shown, after the above shear wave elastography device determines the displacement parameter corresponding to the motion interference according to the first echo signal, the method for the shear wave elastography device to perform image quality evaluation may further include the following steps:

[0198] Step 301, obtain a preset level threshold.

[0199] In an embodiment of the present invention, after the above shear wave elastography device determines the displacement parameter corresponding to the motion interference according to the above first echo signal, it may first obtain a preset level threshold, where the above preset level threshold is used for the above shear wave elastography device to divide the motion level of the above displacement parameter.

[0200] It should be noted that in an embodiment of the present invention, the above shear wave elastography device may preset the above preset level threshold. Specifically, the above preset level threshold may be at least one displacement threshold range, so as to divide the level of the above displacement parameter according to the above preset level threshold.

[0201] In an embodiment of the present invention, the above shear wave elastography device can determine the strength of motion interference according to the above displacement parameter, that is, the larger the above displacement parameter, the stronger the motion degree of the above detection target or the above probe. Correspondingly, the smaller the above displacement parameter, the weaker the motion degree of the above detection target or the above probe. Therefore, the above shear wave elastography device can set the above preset level threshold for grading the motion strength of the above detection target according to the above displacement parameter.

[0202] Step 302: 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 above shear wave elastography device can determine the motion level corresponding to the above detection target according to the above preset level threshold and the above displacement parameter.

[0204] In an embodiment of the present invention, after obtaining the preset level threshold, the above shear wave elastography device can compare the above displacement parameter with the above preset level threshold, so as to determine which level range in the above preset level threshold the above displacement parameter belongs to, and further determine the level of the above displacement parameter, that is, determine the above motion level representing the motion degree of the above detection target.

[0205] Step 303: Display the motion level.

[0206] In an embodiment of the present invention, after determining the above motion level corresponding to the above detection target according to the above preset level threshold and the above displacement parameter, the above shear wave elastography device can display the above motion level.

[0207] It should be noted that in an embodiment of the present invention, after obtaining the motion level corresponding to the above detection target, the above shear wave elastography device can display the above motion level on the display screen of the above shear wave elastography device, so as to help the doctor judge the breathing state of the patient, and further collect the elastic image when it is determined that the patient holds his breath.

[0208] In an embodiment of the present invention, there are many ways for the above shear wave elastography device to display the above motion level. Specifically, in an embodiment of the present invention, the content of the display of the above motion level by the above shear wave elastography device includes but is not limited to the number of levels, the shape, color, size, arrangement method of the level display block, and the position of the display area on the display screen, etc.

[0209] In an embodiment of the present invention, Figure 13 Schematic diagram of the motion level in the embodiment of the present invention Figure 1 , Figure 14Schematic diagram of motion levels in the embodiments of the present invention Figure 2 , as Figure 13 and Figure 14 shown, the motion levels can be divided into five levels according to the intensity of motion, and different shades of color are used to represent the intensity of motion. The doctor can take pictures during a continuous light-colored dynamic display process, and not take pictures when it is dark-colored.

[0210] It should be noted that in the embodiments of the present invention, the motion of the detection target caused by breathing, heartbeat, etc., and the motion caused by the probe technique can be judged and measured through the above-mentioned motion levels.

[0211] A shear wave elastography method proposed in the embodiments of the present invention. The shear wave elastography device emits an ultrasonic beam to the 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; the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the detection beam are received; the displacement parameter corresponding to the motion interference is determined according to the first echo signal, and the intensity parameter and signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. Thus, it can be seen that in a shear wave elastography method proposed in the embodiments of the present invention, the shear wave elastography device can determine the intensity parameter and 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. Then, by combining the displacement parameter, intensity parameter and signal-to-noise ratio, the image quality of shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of image quality evaluation of shear wave elastography based on multiple interference factors, and effectively improving the accuracy of the diagnosis result.

[0212] In the embodiments of the present invention, Figure 15 Schematic diagram of the implementation process of a shear wave elastography method proposed in the embodiments of the present invention Figure 6 , as Figure 15 shown, after the shear wave elastography device determines the image quality evaluation result according to the above-mentioned intensity parameter, the above-mentioned signal-to-noise ratio and the above-mentioned displacement parameter, that is, after step 104, the method for the shear wave elastography device to perform image quality evaluation may further include the following steps:

[0213] Step 106, analyze the image quality evaluation result to obtain the quality influence ratio.

[0214] In the embodiments of the present invention, after the shear wave elastography device determines the above-mentioned image quality evaluation result according to the above-mentioned intensity parameter, the above-mentioned signal-to-noise ratio and the above-mentioned displacement parameter, the shear wave elastography device can analyze the above-mentioned image quality evaluation result, so as to obtain the quality influence ratio.

[0215] It should be noted that, in the embodiments of the present invention, the above-mentioned quality influence ratio may include the proportion of the above-mentioned strength 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.

[0216] In the embodiments of the present invention, the above-mentioned shear wave elastography device may analyze and calculate the above-mentioned quality influence ratio according to the above-mentioned preliminary image quality result, the above-mentioned displacement parameter, and the above-mentioned image quality evaluation result.

[0217] Step 107: Generate a quality influence analysis result according to the quality influence ratio.

[0218] In the embodiments of the present invention, after the above-mentioned shear wave elastography device analyzes the above-mentioned image quality evaluation result and obtains the above-mentioned quality influence ratio, it may generate a quality influence analysis result according to the above-mentioned quality influence ratio.

[0219] It should be noted that, in the embodiments of the present invention, the above-mentioned shear wave elastography device may specifically generate a quality influence analysis result according to the above-mentioned quality influence ratio and the above-mentioned detection mode.

[0220] In the embodiments of the present invention, the above-mentioned shear wave elastography device may provide the above-mentioned quality influence analysis result to a doctor, so that the doctor can obtain the main factors and secondary factors affecting the image quality, and further enable the doctor to pay more attention during the examination and first solve the problem that leads to a decrease in credibility, that is, the problem of the decrease in the image quality of shear wave imaging. For example, when examining the liver, the respiratory interference is relatively large. The above-mentioned shear wave elastography device may automatically export the above-mentioned quality influence analysis result as the motion interference is 60%, the signal-to-noise ratio influence is 30%, and the signal intensity influence is 10%. When examining the neck, the above-mentioned shear wave elastography device may automatically export the above-mentioned quality influence analysis result as the motion interference is 10%, the signal-to-noise ratio influence is 40%, and the signal intensity influence is 50%.

[0221] A shear wave elastography method proposed by an embodiment of the present invention, in which a shear wave elastography device emits an ultrasonic beam towards 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 towards 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. Thus, it can be seen that in a shear wave elastography method proposed by an embodiment of the present invention, the shear wave elastography device can determine the intensity parameter and the signal-to-noise ratio of the shear wave according to the second echo signal corresponding to the detection beam, and at the same time determine the displacement parameter corresponding to the motion interference according to the first echo signal corresponding to the ultrasonic beam. Then, by combining the displacement parameter, the intensity parameter and the signal-to-noise ratio, the image quality of the shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of image quality evaluation for shear wave elastography based on multiple interference factors, and effectively improving the accuracy of the diagnosis result.

[0222] The shear wave elastography method proposed by an embodiment of the present invention may further include the following steps:

[0223] Step 401: Generate a shear wave in the detection target.

[0224] Step 402: Emit a detection beam towards the detection target; wherein, the detection beam is used to detect the shear wave.

[0225] In an embodiment of the present invention, a shear wave elastography device generates a shear wave in a detection target, and the shear wave elastography device may further emit a detection beam towards the detection target; wherein, the detection beam is used to detect the shear wave. Wherein, the shear wave elastography device may be a device for performing shear wave elastography on the detection target. The detection target may be a human tissue, organ to be detected, etc. For example, the detection target may be a human tissue such as the thyroid gland, breast, liver, musculoskeletal or blood vessel.

[0226] In an embodiment of the present invention, the above-mentioned shear wave is used to perform elastic detection on the above-mentioned detection target.

[0227] Step 403: Receive the echo signal corresponding to the detection beam.

[0228] Step 404: Determine the signal quality parameter corresponding to the shear wave according to the echo signal.

[0229] In an embodiment of the present invention, after the shear wave elastography device generates a shear wave in the detection target and sends a detection beam to the detection target, the shear wave elastography device can detect the shear wave through the detection beam, so as to receive the echo signal corresponding to the detection beam.

[0230] In an embodiment of the present application, after the shear wave elastography device receives the echo signal, it can perform signal processing on the echo signal, and then obtain the signal quality parameter corresponding to the shear wave. Among them, 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 can be further determined according to the intensity parameter and the noise parameter.

[0231] In an embodiment of the present invention, after the shear wave elastography device determines the signal quality parameter corresponding to the shear wave, it can display the signal quality parameter.

[0232] In an embodiment of the present invention, after the shear wave elastography device determines the signal quality parameter corresponding to the shear wave, that is, after step 404, the shear wave elastography method proposed by the present invention may further include the following steps:

[0233] 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 the shear wave elastography corresponding to the detection target.

[0234] Step 406: Display the image quality evaluation result.

[0235] In an embodiment of the present invention, after the shear wave elastography device determines the signal quality parameter corresponding to the shear wave, it can determine an image quality evaluation result according to the signal quality parameter.

[0236] Specifically, in an embodiment of the invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastography corresponding to the detection target, that is, the image quality evaluation result can characterize the high or low image quality of the shear wave elastography. Among them, the image quality evaluation result may be a quantified value or a specific grade parameter.

[0237] In an embodiment of the present invention, after the shear wave elastography device determines the image quality evaluation result, it can display the image quality evaluation result.

[0238] In an embodiment of the present invention, after obtaining the image quality evaluation result of the shear wave elastography, the shear wave elastography device may display the image quality evaluation result together while displaying the shear wave elastography.

[0239] The shear wave elastography method proposed by the embodiment of the present invention may further include the following steps:

[0240] Step 501: Transmit an ultrasonic beam to the detection target; wherein, the ultrasonic beam is used to detect motion interference.

[0241] In an embodiment of the present invention, the shear wave elastography device transmits an ultrasonic beam to the detection target; wherein, the ultrasonic beam is used to detect motion interference; the shear wave elastography device may be a device for performing shear wave elastography on the detection target. The detection target may be a human tissue, organ, etc. to be detected. For example, the detection target may be a human tissue such as the thyroid gland, breast, liver, musculoskeletal, or blood vessel.

[0242] Step 502: Receive the echo signal corresponding to the ultrasonic beam.

[0243] In an embodiment of the present invention, after transmitting the ultrasonic beam to the detection target, the shear wave elastography device may receive the echo signal corresponding to the ultrasonic beam.

[0244] In an embodiment of the present invention, after transmitting the ultrasonic beam to the detection target, the receiving circuit configured by the shear wave elastography device may receive the echo signal corresponding to the ultrasonic beam through a probe.

[0245] Step 503: Determine the motion parameter corresponding to the motion interference according to the echo signal.

[0246] 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.

[0247] In an embodiment of the present invention, after determining the motion parameter corresponding to the motion interference, the shear wave elastography device may display the motion parameter.

[0248] In an embodiment of the present invention, after determining the motion parameter corresponding to the motion interference 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:

[0249] Step 504: Determine an image quality evaluation result according to the motion parameters, where the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target.

[0250] Step 505: Display the image quality evaluation result.

[0251] In an embodiment of the present invention, after the shear wave elastography device determines the motion parameters corresponding to the motion interference according to the echo signal, it can determine the image quality evaluation result according to the motion parameters.

[0252] In an embodiment of the invention, after the shear wave elastography device determines the motion parameters corresponding to the motion interference, it can further determine and display the image quality evaluation result according to the motion parameters.

[0253] In an embodiment of the invention, the image quality evaluation result is used to evaluate the image quality of the shear wave elastography corresponding to the detection target, that is, the image quality evaluation result can characterize the level of the image quality of the shear wave elastography. Among them, the image quality evaluation result can be a quantified value or a specific grade parameter.

[0254] In an embodiment of the present invention, after the shear wave elastography device obtains the image quality evaluation result of the shear wave elastography, it can display the image quality evaluation result together while displaying the shear wave elastography.

[0255] Figure 16 Schematic diagram of the composition structure of the shear wave elastography device proposed in the embodiment of the present invention Figure 1 , as Figure 16 shown, the shear wave elastography 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.

[0256] The transmitting circuit 12 excites the probe to transmit an ultrasonic beam to the detection target; where the ultrasonic beam is used to detect motion interference; and to transmit a detection beam to the detection target; where the detection beam is used to detect the shear wave.

[0257] The receiving circuit 13 receives a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam through the probe.

[0258] 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.

[0259] The display 15 displays the intensity parameter, the signal-to-noise ratio, and / or the displacement parameter.

[0260] 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 the shear wave elastography corresponding to the detection target.

[0261] In an embodiment of the present invention, the display 15 displays the image quality evaluation result.

[0262] 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.

[0263] 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 obtains the preliminary image quality result according to the first weight coefficient, the intensity parameter, and the signal-to-noise ratio.

[0264] 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 perform quantization processing on the image quality.

[0265] In an embodiment of the present invention, the second weight coefficient includes a displacement weight coefficient corresponding to the displacement parameter, the processor 14 obtains a preset displacement threshold; and when the displacement parameter is less than the preset displacement threshold, sets the displacement weight coefficient to zero.

[0266] 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 the corresponding relationship between the pre-stored mode and the weight and the detection mode.

[0267] In an embodiment of the present invention, after the processor 14 determines a displacement parameter corresponding to motion interference according to the first echo signal, it obtains a preset level threshold; and determines a motion level corresponding to the detection target according to the preset level threshold and the displacement parameter;

[0268] The display 15 displays the motion level.

[0269] In an embodiment of the present invention, after the processor 14 determines an image quality evaluation result based on the intensity parameter, the signal-to-noise ratio, and the displacement parameter, it analyzes the image quality evaluation result to obtain a quality influence ratio; wherein the quality influence 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 influence analysis result according to the quality influence ratio.

[0270] In an embodiment of the present invention, the transmitting circuit 12 also excites the probe 11 to transmit a focused beam towards the detection target; wherein the focused beam is used to generate the shear wave.

[0271] Figure 17 Schematic diagram of the composition structure of the shear wave elastography device proposed in the embodiment of the present invention Figure 2 , such as Figure 17 shown, the shear wave elastography device 1 proposed in the embodiment of the present invention may further include a memory 16 and a communication interface 17 storing instructions executable by the processor 14.

[0272] The transmitting circuit 12 excites the probe 11 to transmit a detection beam towards the detection target; wherein the detection beam is used to detect the shear wave.

[0273] The receiving circuit 13 receives the echo signal corresponding to the detection beam through the probe 11.

[0274] The processor 14 determines the signal quality parameter corresponding to the shear wave according to the echo signal.

[0275] The display 15 displays the signal quality parameter.

[0276] 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 the shear wave elastography corresponding to the detection target.

[0277] The display 15 displays the image quality evaluation result.

[0278] The transmitting circuit 12 excites the probe 11 to transmit an ultrasonic beam towards the detection target; wherein the ultrasonic beam is used to detect motion interference.

[0279] The receiving circuit 13 receives the echo signal corresponding to the ultrasonic beam through the probe 11.

[0280] The processor 14 determines the motion parameter corresponding to the motion interference according to the echo signal.

[0281] The display 15 displays the motion parameter.

[0282] The processor 14 determines an image quality evaluation result according to the motion parameters; wherein, the image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target.

[0283] The display 15 displays the image quality evaluation result.

[0284] In an embodiment of the present invention, the above-mentioned 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 can be understood that for different devices, the electronic devices for implementing the above-mentioned processor functions may also be others, and the embodiments of the present invention do not make specific limitations. The shear wave elastography device 1 may further include a memory 16, and the memory 16 may be connected to the processor 14. Among them, the memory 16 is used to store executable program codes, and the program codes include computer operation instructions. 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.

[0285] In an embodiment of the present invention, the memory 16 is used to store instructions and data.

[0286] In practical applications, the above-mentioned memory 16 may be a volatile first memory, such as a Random-Access Memory (RAM); or a non-volatile first memory, such as a Read-Only Memory (ROM), a flash memory, a Hard Disk Drive (HDD), or a Solid-State Drive (SSD); or a combination of the above types of first memories, and provides instructions and data to the processor 14.

[0287] In addition, each functional module in this embodiment may be integrated into a processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional module.

[0288] If the integrated unit is implemented in the form of a software functional module and is not sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this embodiment, in essence, or the part that contributes to the prior art, or all or part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the method of this embodiment. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0289] A shear wave elastography device proposed in an embodiment of the present invention emits an ultrasonic beam towards 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 towards the detection target; wherein, the detection beam is used to detect the shear wave; the first echo signal corresponding to the ultrasonic beam and the second echo signal corresponding to the detection beam are received; the displacement parameter corresponding to the motion interference is determined according to the first echo signal, and the intensity parameter and signal-to-noise ratio corresponding to the shear wave are determined according to the second echo signal. Thus, it can be seen that a shear wave elastography method proposed in an embodiment of the present invention, the shear wave elastography device can determine the intensity parameter and 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. Then, by combining the displacement parameter, the intensity parameter, and the signal-to-noise ratio, the image quality of the shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of evaluating the image quality of the shear wave elastography based on multiple interference factors, and further effectively improving the accuracy of the diagnostic result.

[0290] The embodiment of the present invention provides a first computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, it implements the shear wave elastography method as described above.

[0291] Specifically, the program instructions corresponding to a shear wave elastography method in this embodiment can be stored on storage media such as optical discs, hard disks, and USB flash drives. When the program instructions corresponding to a shear wave elastography method in the storage media are read or executed by an electronic device, the following steps are included:

[0292] Emit an ultrasonic beam towards the detection target; wherein, the ultrasonic beam is used to detect motion interference; generate a shear wave in the detection target, and emit a detection beam towards the detection target; wherein, the detection beam is used to detect the shear wave;

[0293] Receive a first echo signal corresponding to the ultrasonic beam and a second echo signal corresponding to the detection beam;

[0294] Determine a displacement parameter corresponding to the motion interference according to the first echo signal, and determine an intensity parameter and a signal-to-noise ratio corresponding to the shear wave according to the second echo signal.

[0295] On the basis of the above steps, it may further 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 the shear wave elastography corresponding to the detection target.

[0296] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories and optical memories, etc.) containing computer-usable program codes.

[0297] The present invention is described with reference to the schematic flowcharts and / or block diagrams of the implementation processes of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the schematic flowcharts and / or block diagrams, as well as the combination of processes and / or blocks in the schematic flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0298] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the flowchart illustration Figure 1 one process or multiple processes and / or blocks Figure 1 the functions specified in one block or multiple blocks.

[0299] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the flowchart illustration Figure 1 one process or multiple processes and / or blocks Figure 1 the steps of the functions specified in one block or multiple blocks.

[0300] As described above, it is only a preferred embodiment of the present invention and is not used to limit the protection scope of the present invention.

[0301] Industrial applicability

[0302] An embodiment of the present invention provides a shear wave elastography method, an apparatus, and a computer storage medium. The shear wave elastography apparatus emits an ultrasonic beam towards 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 towards 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. Thus, it can be seen that in the shear wave elastography method proposed by the embodiment of the present invention, the shear wave elastography apparatus 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. Then, by combining the displacement parameter, the intensity parameter, and the signal-to-noise ratio, the image quality of the shear wave elastography can be comprehensively identified to obtain an image quality evaluation result, thereby meeting the requirement of image quality evaluation of the shear wave elastography based on multiple interference factors, and further effectively improving the accuracy of the diagnosis result.

Claims

1. A shear wave elastography method, the method comprises: emitting an ultrasonic beam to the detection target; wherein, the ultrasonic beam is used for detecting motion interference; generating a shear wave in the detection target and emitting a detection beam to the detection target; wherein, the detection beam is used for detecting the shear wave; 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.

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

3. The method according to claim 1, further comprising determining and displaying 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 elastography corresponding to the detection target.

4. The method according to claim 3, wherein, the determining the image quality evaluation result according to the intensity parameter, the signal-to-noise ratio and the displacement parameter includes: determining a preliminary image quality result according to the intensity parameter and the signal-to-noise ratio; determining the image quality evaluation result according to the preliminary image quality result and the displacement parameter.

5. The method according to claim 4, wherein, the determining the preliminary image quality result 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; obtaining the preliminary image quality result according to the first weight coefficient, the intensity parameter and the signal-to-noise ratio; or; obtaining a second weight coefficient; inputting 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 for quantifying the image quality.

6. The method according to claim 5, wherein, 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 to obtain 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, setting the displacement weight coefficient to zero.

7. The method according to claim 5, wherein, the obtaining the second weight coefficient includes: determining a detection mode corresponding to the detection target; determining the second weight coefficient according to the corresponding relationship between the pre-stored mode and the weight and the detection mode.

8. 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: obtaining a preset level threshold; determining a motion level corresponding to the detection target according to the preset level threshold and the displacement parameter; Display the motion level.

9. The method according to claim 3, 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; Generate a quality impact analysis result according to the quality impact ratio.

10. The method according to any one of claims 1-9, wherein, The ultrasonic beam is used to detect motion interference, and the ultrasonic beam is used to form a B-mode ultrasonic image; the second echo signal is used to calculate the shear wave propagation speed of the detection target, and then form a shear wave elastogram.

11. A shear wave elastography method, the method comprises: Transmit an ultrasonic beam to a detection target; wherein, the ultrasonic beam is used to detect motion interference; Receive the echo signal corresponding to the ultrasonic beam; Determine the motion parameter corresponding to the motion interference according to the echo signal, wherein the motion parameter is used to determine the strength of the motion interference.

12. The method according to claim 11, further comprising displaying the motion parameter.

13. The method according to claim 11, further comprising, Determine the image quality evaluation result according to the motion parameter; wherein, The image quality evaluation result is used to characterize the image quality of the shear wave elastography corresponding to the detection target; Display the image quality evaluation result.

14. The method according to claim 13, characterized in that, The image quality evaluation result is a quantified value or a specific grade parameter.

15. The method according to any one of claims 11-14, characterized in that, The motion parameter includes a displacement parameter corresponding to the motion interference, and determining the motion parameter corresponding to the motion interference according to the echo signal includes: Determine the absolute displacements at multiple preset positions in at least one frame of image according to the echo signal; obtain the average value corresponding to the absolute displacements at the multiple preset positions; determine the displacement parameter of the at least one frame of image according to the average value corresponding to the absolute displacements at the multiple preset positions; or; Determine a B-mode ultrasonic image according to the echo signal; determine the absolute displacements at multiple preset positions in the B-mode ultrasonic image; obtain the average value corresponding to the absolute displacements at the multiple preset positions; determine the displacement parameter of the at least one frame of image according to the average value corresponding to the absolute displacements at the multiple preset positions.

16. The method according to any one of claims 11-14, characterized in that, The motion parameter includes a displacement parameter corresponding to the motion interference, and the displacement parameter of the latter frame of image is determined with the previous frame of image as a reference frame.

17. A shear wave imaging device, wherein, The shear wave imaging device includes: a probe, a transmitting circuit, a receiving circuit, and a processor, The transmitting circuit drives the probe to transmit an ultrasonic beam to a detection target; The receiving circuit receives the echo signal corresponding to the ultrasonic beam through the probe; The processor executes the method according to any one of claims 1-16 above.

18. A computer-readable storage medium, on which a program is stored and applied to a shear wave imaging device, wherein, when the program is executed by a processor, it implements the method according to any one of claims 1-16.

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