WO2021109112A1

WO2021109112A1 - Ultrasound imaging method and ultrasound imaging system

Info

Publication number: WO2021109112A1
Application number: PCT/CN2019/123595
Authority: WO
Inventors: 李金洋; 李双双; 张贤辉; 罗英州
Original assignee: 深圳迈瑞生物医疗电子股份有限公司
Priority date: 2019-12-06
Filing date: 2019-12-06
Publication date: 2021-06-10
Also published as: CN114072060A; CN117064441A; CN117224161A

Abstract

Disclosed are an ultrasound imaging method and an ultrasound imaging system, which are used to improve the intuitiveness of ultrasound elastography. The ultrasonic imaging method comprise transmitting a first ultrasonic wave to a target tissue, and receiving a first ultrasonic echo based on the first ultrasonic wave, to obtain a first ultrasonic echo signal; obtaining an ultrasonic image of the target tissue according to the first ultrasonic echo signal; if the ultrasound image meets a preset image standard, generating and outputting a first prompt information, and performing elastography on the target tissue, wherein, the first prompt information is used to indicate that there are no interfering tissue features in the ultrasound image or that there are interfering tissue features in the ultrasound image and the shortest distance between the interfering tissue feature in the ultrasound image and a region of interest in the ultrasound image is greater than a preset threshold.

Description

Ultrasound imaging method and ultrasound imaging system

Technical field

This application relates to the field of medical equipment, and in particular to an ultrasonic imaging method and an ultrasonic imaging system.

Background technique

Transient Elastography (TE) has the characteristics of non-invasive, simple, fast, easy to operate, repeatable, safe and tolerable, and is currently an important means to determine the status of the target organization.

However, before performing elastography, it is also necessary to determine the standard ultrasound section in order to perform more accurate elastography. For example, if you need to perform elastography of the liver, you need to determine the approximate position of the liver and select the corresponding intercostal space, and then simply judge whether the measurement area is liver parenchyma through a single echo data, which requires the operator’s personal experience and is more accurate difference.

Summary of the invention

This application provides an ultrasound imaging method and an ultrasound imaging system for improving the accuracy of elastography.

The first aspect of the present application provides an ultrasonic imaging method, including: transmitting a first ultrasonic wave to a target tissue, and receiving a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal; The ultrasound echo signal acquires an ultrasound image of the target tissue; if the ultrasound image meets a preset image standard, first prompt information is generated and output, and elastography is performed on the target tissue, wherein the first prompt The information is used to indicate that there are no interfering tissue features in the ultrasound image or that there are interfering tissue features in the ultrasound image, and the shortest distance between the interfering tissue feature in the ultrasound image and the region of interest in the ultrasound image is greater than expected Set the threshold.

It can be seen that after the ultrasound image of the target tissue is obtained, if the ultrasound image meets the preset image standard, a prompt is promptly provided to prompt that the target tissue can be further subjected to elastography, thereby effectively improving the accuracy of elastography.

A second aspect of the present application provides an ultrasound imaging method, including: transmitting a first ultrasound to a target tissue, and receiving a first ultrasound echo based on the first ultrasound to obtain a first ultrasound echo signal; The ultrasound echo signal acquires the ultrasound image of the target tissue; if the ultrasound image does not meet the preset image standard, second prompt information is generated and output, wherein the second prompt information is used to indicate the ultrasound There are interfering tissue features in the image, and the shortest distance between the interfering tissue feature in the ultrasound image and the region of interest in the ultrasound image is not greater than a preset threshold.

It can be seen that after the ultrasound image of the target tissue is obtained, if the ultrasound image does not meet the preset image standards, prompt prompts are made in time to prompt that there are interfering tissue features in the ultrasound image, and the interfering tissue features may affect the subsequent elastography imaging It has an impact, so that the user can determine whether or not to perform elastography based on the prompt.

A third aspect of the present application provides an ultrasound imaging method, including: transmitting a first ultrasound to a target tissue, and receiving a first ultrasound echo based on the first ultrasound to obtain a first ultrasound echo signal; The ultrasound echo signal acquires an ultrasound image of the target tissue; if the ultrasound image meets a preset image standard, elastography is performed on the target tissue.

It can be seen that after the ultrasound image is obtained, when the ultrasound image meets the preset image standard, the target tissue can be automatically subjected to elastography, thereby effectively improving the accuracy and timeliness of the elastography.

A fourth aspect of the present application provides an ultrasound imaging method, including: controlling a target tissue to generate a shear wave, and transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain A second ultrasonic echo signal; acquiring the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extracting characteristic information in the propagation path; according to the propagation path in the The feature information generates and outputs seventh prompt information, where the seventh prompt information is used to indicate to adjust the size and/or position of the region of interest in the ultrasound image, or there is no need to adjust the size and position of the region of interest in the ultrasound image. / Or location, or re-imaging the target tissue by ultrasound.

It can be seen that performing elastography on the target tissue can prompt the elastography result according to the characteristic information in the propagation path of the shear wave during the elastography process, so as to prompt whether it is necessary to adjust the size and/or of the region of interest in the ultrasound image. Or position, or re-take the ultrasound image of the target tissue, thereby effectively improving the accuracy of the elastography result.

A fifth aspect of the present application provides an ultrasound imaging method, including: controlling a target tissue to generate a shear wave, and transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain The second ultrasonic echo signal; obtain the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract the characteristic information in the propagation path; if the propagation path is If the characteristic information does not meet the preset condition, the size and/or position of the region of interest are adjusted, or the target tissue is re-imagined by ultrasound.

It can be seen that performing elastography on the target tissue can determine whether the preset conditions are met according to the characteristic information in the propagation path of the shear wave during the elastography process, and the characteristic information in the propagation path of the shear wave does not meet the preset conditions Under the circumstance, the size and/or position of the region of interest in the ultrasound image is automatically adjusted, or the ultrasound image of the target tissue is performed again, thereby effectively improving the accuracy of the elastography result.

A sixth aspect of the present application provides an ultrasound imaging method, including: controlling a target tissue to generate a shear wave, and transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain A second ultrasonic echo signal; acquiring the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extracting characteristic information in the propagation path; according to the propagation path in the The feature information generates and outputs eighth prompt information, where the eighth prompt information is used to indicate that the propagation path is blocked or turned or continuous.

It can be seen that performing elastography on the target tissue can prompt prompts based on the characteristic information in the propagation path of the shear wave during the elastography process and the characteristic information in the propagation path to prompt that the propagation path is blocked or turned. Continuous, so that the user can intuitively determine whether to perform elastography and whether the size and/or position of the region of interest in the ultrasound image needs to be adjusted according to the prompt.

A seventh aspect of the present application provides an ultrasound imaging method, including: acquiring a historical ultrasound image of a target tissue; transmitting a first ultrasound to the target tissue, and receiving a first ultrasound echo based on the first ultrasound to obtain the first ultrasound Echo signal; according to the first ultrasound echo signal and the historical ultrasound image, determine the ultrasound image of the target tissue and perform elastography on the target tissue.

An eighth aspect of the present application provides an ultrasound imaging method, including: acquiring an ultrasound image of a target tissue and an elastic parameter corresponding to the ultrasound image; determining a first confidence level set of the ultrasound image, and the first confidence level The set includes the value of the first confidence of the ultrasound image; the second confidence set of the elastic parameter is determined, and the second confidence set includes the value of the second confidence of the elastic parameter; The first set of confidence levels and/or the second set of confidence levels determine the elasticity result of the target tissue.

A ninth aspect of the present application provides an ultrasound imaging system, including: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The transmitting/receiving sequence circuit is used to excite the probe to generate a first ultrasonic wave;

The probe is used to transmit the first ultrasonic wave to the target tissue and receive the first ultrasonic echo returned from the target tissue to obtain the first ultrasonic echo signal;

The processor is configured to obtain an ultrasound image of the target tissue according to the first ultrasound echo signal;

The processor is further configured to generate first prompt information if the ultrasound image meets a preset image standard;

The output device is configured to output the first prompt information, where the first prompt information is used to indicate that there are no interfering tissue features in the ultrasound image or that there are interfering tissue features in the ultrasound image, and the The shortest distance between the region where the interfering tissue feature is located in the ultrasound image and the region of interest in the ultrasound image is greater than a preset threshold;

The processor is also used to perform elastography on the target tissue.

A tenth aspect of the present application provides an ultrasound imaging system, including a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The probe is used to transmit a first ultrasonic wave to a target tissue and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

The processor is further configured to generate second prompt information if the ultrasound image does not meet the preset image standard, where the second prompt information is used to indicate that there are interfering tissue features in the ultrasound image, And the shortest distance between the interfering tissue feature in the ultrasound image and the region of interest in the ultrasound image is not greater than a preset threshold;

The output device is used to output the second prompt information.

An eleventh aspect of the present application provides an ultrasound imaging system, including: a probe, a transmitting/receiving sequence circuit, and a processor;

The processor is further configured to perform elastography on the target tissue if the ultrasound image meets a preset image standard.

A twelfth aspect of the present application provides an ultrasound imaging system, including: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The transmitting/receiving sequence circuit is used to excite the probe to generate ultrasonic waves;

The probe is used to control the target tissue to generate shear waves, transmit a second ultrasonic wave into the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

The processor is further configured to obtain the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path;

The processor is further configured to generate seventh prompt information according to the characteristic information in the propagation path;

The output device is configured to output the seventh prompt information, where the seventh prompt information is used to instruct to adjust the size and/or position of the region of interest, or there is no need to adjust the size of the region of interest And/or location, or re-imaging the target tissue.

A thirteenth aspect of the present application provides an ultrasound imaging system, including: a probe, a transmitting/receiving sequence circuit, and a processor;

The processor is further configured to adjust the size and/or position of the region of interest if the characteristic information in the propagation path does not meet a preset condition, or perform ultrasound imaging on the target tissue again.

A fourteenth aspect of the present application provides an ultrasound imaging system, including: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The processor is further configured to generate eighth prompt information according to the characteristic information in the propagation path;

The output device is configured to output the eighth prompt information, where the eighth prompt information is used to indicate that the propagation path is blocked or turned or continuous.

A fifteenth aspect of the present application provides an ultrasound imaging system, including: a probe, a transmitting/receiving sequence circuit, and a processor;

The processor is used to obtain historical ultrasound images of the target tissue;

The probe is configured to transmit the first ultrasonic wave to a target tissue, and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

The processor is further configured to determine an ultrasound image of the target tissue and perform elastography on the target tissue according to the first ultrasound echo signal and the historical ultrasound image.

A sixteenth aspect of the present application provides an ultrasound imaging system, including: a processor;

The processor is configured to obtain an ultrasound image of a target tissue and elastic parameters corresponding to the ultrasound image;

The processor is further configured to determine a first confidence level set of the ultrasound image, and the first confidence level set includes the value of the first confidence level of the ultrasound image;

The processor is further configured to determine a second confidence level set of the elasticity parameter, where the second confidence level set includes the second confidence level value of the elasticity parameter;

The processor is further configured to determine the elasticity result of the target tissue according to the first set of confidence levels and/or the second set of confidence levels.

The seventeenth aspect of the embodiments of the present application provides a computer-readable storage medium that stores instructions in the computer-readable storage medium, and when it runs on a computer, the computer executes the first to eighth aspects described above. The imaging method provided by any aspect.

In the embodiments of the present application, after obtaining the ultrasound image of the target tissue, it can be further determined whether the ultrasound image meets the preset image standard, and if it meets the preset image standard, the first prompt message is generated and output, and the ultrasound image is displayed. The first prompt information can be used to indicate that there are no interfering tissue features in the ultrasound image, or that there are interfering tissue features in the ultrasound image, but the shortest distance between the region where the interfering tissue feature is located and the region of interest in the ultrasound image is greater than a preset Threshold. The first prompt information may be used to prompt the user that the ultrasound image meets the preset image standard for the next operation. Therefore, the accuracy of the acquired ultrasound images can be improved by means of automatic identification, and the non-standard ultrasound images caused by manual selection can be avoided, which may lead to inaccurate subsequent measurement parameters.

Description of the drawings

FIG. 1 is a schematic structural block diagram of a possible ultrasound imaging system provided by an embodiment of this application;

2 is a schematic structural diagram of a possible probe provided by an embodiment of the application;

FIG. 3 is a schematic structural diagram of another possible probe provided by an embodiment of this application;

FIG. 4 is a schematic diagram of a possible scenario where a probe transmits ultrasonic waves according to an embodiment of the application;

FIG. 5 is a schematic flowchart of a possible ultrasound imaging method provided by an embodiment of this application;

FIG. 6 is an ultrasound display diagram of a possible ultrasound imaging method provided by an embodiment of this application;

FIG. 7A is a schematic diagram of signal intensity attenuation of a possible ultrasound imaging method provided by an embodiment of this application; FIG.

FIG. 7B is a schematic diagram of signal intensity attenuation of a possible ultrasound imaging method provided by an embodiment of the application; FIG.

FIG. 7C is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of the application; FIG.

8A is a schematic diagram of signal division of a possible ultrasound imaging method provided by an embodiment of the application;

8B is a schematic diagram of signal division of another possible ultrasound imaging method provided by an embodiment of the application;

FIG. 9 is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of the application;

FIG. 10 is a schematic diagram of a prompt box of a possible ultrasound imaging method provided by an embodiment of this application;

FIG. 11 is a schematic diagram of a prompt box of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 12 is a schematic diagram of an elastic image of a possible ultrasound imaging method provided by an embodiment of this application;

Fig. 13A is a schematic diagram of a prompt box of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 13B is a schematic diagram of a prompt box of another possible ultrasound imaging method provided by an embodiment of this application;

14A is a schematic diagram of a prompt box of another possible ultrasound imaging method provided by an embodiment of the application;

14B is a schematic diagram of a prompt box of another possible ultrasound imaging method provided by an embodiment of the application;

FIG. 15 is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 16 is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 17 is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of this application;

18A is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of the application;

18B is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of the application;

FIG. 19 is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 20 is a schematic diagram of a prompt box of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 21 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 22 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 23 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 24 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 25 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of the application; FIG.

FIG. 26 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of this application;

FIG. 27 is a schematic diagram of a change trend of elastic parameters of a possible ultrasound imaging method according to an embodiment of the application;

FIG. 28 is a schematic diagram of elastic parameter change values of a possible ultrasound imaging method provided by an embodiment of the application; FIG.

FIG. 29 is a schematic flowchart of another possible ultrasound imaging method provided by an embodiment of the application; FIG.

FIG. 30 is a schematic diagram showing elastic results of a possible ultrasound imaging method provided by an embodiment of the application; FIG.

FIG. 31 is an ultrasound display diagram of another possible ultrasound imaging method provided by an embodiment of the application.

Detailed ways

The present application provides an ultrasound imaging method and an ultrasound imaging system, which are used to improve the intuitiveness of ultrasound elastography.

The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects, without having to use To describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in a sequence other than the content illustrated or described herein. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those clearly listed. Those steps or units may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or equipment.

FIG. 1 is a schematic structural block diagram of an ultrasound imaging system 10 in an embodiment of the application. The ultrasound imaging system 10 may include an ultrasound probe 100, a transmission/reception selection switch 101, a transmission/reception sequence controller 102, a processor 103, and an output device 104. The output device may be a display, a speaker, and an indicator light. The ultrasonic probe 100 may be a linear array probe, a convex array probe or a phased array probe, etc., and a suitable probe may be selected according to actual application scenarios. The transmitting/receiving sequence controller 102 can excite the ultrasonic probe 100 to transmit ultrasonic waves to the target tissue, and can also control the ultrasonic probe 100 to receive ultrasonic echoes returned from the target tissue, thereby obtaining ultrasonic echo signals/data. The processor 103 processes the ultrasound echo signal/data to obtain tissue-related parameters and ultrasound images of the target tissue. The ultrasound images obtained by the processor 103 may be stored in the memory 105, and these ultrasound images may be displayed on the display. In some possible implementations, the ultrasound imaging system 10 further includes a vibrator 106, and the vibrator 106 may be installed inside the ultrasound probe 100 or outside the ultrasound probe 100. The vibrator 106 can be used to generate vibrations of a specific waveform and vibrate the ultrasound probe 100 to generate shear waves in the target tissue. Of course, in some possible implementations, the ultrasound imaging system 10 does not require a vibrator and directly responds to the sound The radiation force controls the generation of shear waves in the target tissue.

In the embodiments of the present application, the aforementioned display of the ultrasonic imaging system 10 may be a touch screen, a liquid crystal display, etc., or may be an independent display device such as a liquid crystal display, a television, etc., independent of the ultrasonic imaging system 10, or may be Display screens on electronic devices such as mobile phones and tablets.

In an optional embodiment of the present application, a sensor may be further provided inside the ultrasound probe 100, and the sensor is used to feed back the vibration strength of the vibrator or the pressing force of the ultrasound probe 100 on the target tissue. According to the feedback of the sensor, the vibration generated by the vibrator 106 can be controlled to be more stable. And according to the feedback of the sensor, the pressing force of the ultrasonic probe 100 against the target tissue can be adjusted, thereby improving the accuracy of the instantaneous elasticity detection.

In an optional embodiment of the present application, the acoustic head portion of the ultrasonic probe 100 may be an array composed of a plurality of array elements, and the plurality is two or more than two. The array element can be used to convert electrical signals into ultrasonic waves, send ultrasonic waves, receive returned ultrasonic echoes, and convert ultrasonic echoes into electrical signals to obtain ultrasonic echo data/signals. Wherein, the shape of the array may be a linear arrangement, or a fan-shaped arrangement, etc., which can be specifically adjusted according to actual application scenarios. Exemplarily, the linear arrangement may be as shown in FIG. 2, and multiple array elements are arranged in a linear pattern. Exemplarily, the fan-shaped arrangement may be as shown in FIG. 3, and multiple array elements are arranged in a fan-shaped manner. Each array element transmits the ultrasonic wave or receives the ultrasonic echo by receiving the transmitting signal from the transmitting circuit and the receiving signal from the receiving circuit. Specifically, the scene in which the ultrasound probe 100 emits ultrasound may be as shown in FIG. 4, the array element inside the ultrasound probe 100 sends ultrasound to the target tissue, and receives the ultrasound echo returned from the target tissue.

In an optional embodiment of the present application, the memory 105 of the aforementioned ultrasonic imaging device 10 may be a flash memory card, a solid-state memory, a hard disk, or the like.

In an optional embodiment of the present application, a computer-readable storage medium is also provided. The computer-readable storage medium stores a plurality of program instructions. After the plurality of program instructions are invoked and executed by the processor 103, the present application can be executed. Part or all of the steps in the ultrasonic imaging method in each embodiment or any combination of the steps.

In an optional embodiment of the present application, the computer-readable storage medium may be the memory 105, which may be a non-volatile storage medium such as a flash memory card, a solid state memory, and a hard disk.

In an optional embodiment of the present application, the processor 103 of the aforementioned ultrasonic imaging device 10 may be implemented by software, hardware, firmware, or a combination thereof, and may use a circuit, a single or multiple application specific integrated circuits (ASIC). ), single or multiple general integrated circuits, single or multiple microprocessors, single or multiple programmable logic devices, or a combination of the foregoing circuits or devices, or other suitable circuits or devices, so that the processor 103 can Perform the corresponding steps of the ultrasound imaging method in each embodiment of the present application.

The ultrasound imaging method in the present application is described in detail below based on the aforementioned ultrasound imaging system 10. Each of the following embodiments may involve one or more hardware modules in the aforementioned ultrasound imaging system 10, which can be specifically based on the steps performed. Decided. Please refer to FIG. 5, an ultrasound imaging method provided by an embodiment of the present application is applied to an ultrasound imaging system 10, and is particularly suitable for an ultrasound imaging system 10 including a touch display screen. Screen operation. The ultrasound imaging system 10 can use ultrasound echo data to generate elastic images or elastic parameters, and can also use ultrasound echo data to generate conventional ultrasound B images. The embodiments of the ultrasound imaging method in this application include:

501. Transmit a first ultrasound to a target tissue, and receive a first ultrasound echo based on the first ultrasound to obtain a first ultrasound echo signal.

First, the first ultrasonic wave can be transmitted to the target tissue through the ultrasonic probe. The target tissue generates ultrasonic echo under the excitation of the first ultrasonic wave. The ultrasonic echo is received by the ultrasonic probe and converted into electrical signals to obtain the first ultrasonic echo. Wave signal. Wherein, the target tissue may be any human tissue or animal tissue, for example, the target tissue may be liver.

In an embodiment of the present application, based on the aforementioned ultrasonic imaging system 10, the processor controls to turn on the transmit/receive selection switch 101, and through the transmit/receive sequence controller, the ultrasonic probe 100 is excited to generate the first ultrasonic wave according to the parameters of the ultrasonic image. , And send it to the target organization. The ultrasound probe 100 receives the ultrasound echo returned from the target tissue to obtain the first ultrasound echo signal, and transmits it to the processor 103, and the processor 103 processes the first ultrasound echo signal to obtain an ultrasound image or ultrasound. parameter. Wherein, the first ultrasonic echo may include echoes returned from different depths of the target tissue.

In an embodiment of the present application, the transmit/receive sequence controller may generate a first sequence for exciting the probe to generate the first ultrasonic wave. The first sequence may include one or more sets of ultrasound transmission and ultrasound echo reception. For example, the first sequence may include transmitting a group of first ultrasonic waves, and receiving the first ultrasonic echo signal corresponding to the first ultrasonic waves after 1 ms.

In an embodiment of the present application, the ultrasound probe 100 can emit the first ultrasound to the target tissue from different angles, and the area where the first ultrasound is emitted covers the area of the target tissue. And the first ultrasound can penetrate the preset depth of the target tissue. Therefore, the ultrasound image acquired according to the first ultrasound echo signal can completely cover the range of the target tissue.

502. Acquire an ultrasound image of the target tissue according to the first ultrasound echo signal.

After the first ultrasonic echo signal is acquired, at least beam synthesis processing is performed according to the first ultrasonic echo signal to obtain an ultrasonic image of the target tissue.

In an embodiment of the present application, after receiving the first ultrasonic echo signal, the noise in the first ultrasonic echo signal can be removed. After the ultrasonic echo signal undergoes beam synthesis processing by the beam synthesis circuit, it is transmitted to the processor 105, and the processor 105 processes the ultrasonic echo signal to obtain an ultrasonic image of the target tissue, where the ultrasonic image may be a two-dimensional ultrasonic image. The image can also be a three-dimensional ultrasound image.

Specifically, the ultrasound image may be a grayscale image or a color Doppler blood flow image. In some possible scenarios, the ultrasound image in the embodiment of the present application may also be replaced with a contrast image or power ultrasound. Images, Computed Tomography (CT) images, nuclear magnetic images, etc., are not specifically limited here. And, the ultrasound image can be displayed on the display.

In an embodiment of the present application, the first ultrasonic echo may include echoes returned from different depths of the target tissue, and then the first ultrasonic echo signal may obtain the return information of tissues of different depths of the target tissue. Therefore, when generating ultrasound images, ultrasound images of tissues of different depths in the target tissue can be obtained.

In an optional embodiment of the present application, the ultrasound image may be a grayscale image, that is, a B image. The specific ultrasound image acquisition method may be that after the first ultrasound echo signal is obtained, the noise in the first ultrasound echo signal can be removed. After the ultrasonic echo signal undergoes beam synthesis processing, it is transmitted to the processor 103, and the processor 103 processes the ultrasonic echo signal, including determining the target tissue corresponding to the amplitude value of the first ultrasonic echo signal and preset weight information Each pixel value of, and according to each pixel value, a grayscale image of the target tissue is obtained.

In an optional embodiment of the present application, the ultrasound image may include a color Doppler blood flow image. Through color Doppler blood flow imaging, a color Doppler blood flow image is obtained. The specific method may be that after the first ultrasonic echo signal is obtained, the noise in the first ultrasonic echo signal may be removed. After the ultrasonic echo signal undergoes beam synthesis processing, it is transmitted to the processor 103, and the processor 103 processes the ultrasonic echo signal, including determining the target tissue according to the amplitude value of the first ultrasonic echo signal and preset blood flow parameters Corresponding to each pixel value, and according to each pixel value, a color Doppler blood flow image of the target tissue is obtained. The color Doppler blood flow image can reflect the direction and flow velocity of the blood flow of the target tissue. Moreover, the blood flow information may be superimposed on the basis of the grayscale image to obtain the color Doppler blood flow image. Therefore, in the embodiments of the present application, in addition to displaying the ultrasound image of the target tissue, a color Doppler blood flow image can also be displayed, which further displays the blood flow information inside the target tissue, facilitating the observation of the target tissue.

503. Determine whether the ultrasound image meets the preset image standard, if yes, execute step 504, and if not, execute step 506.

After the ultrasound image of the target tissue is obtained, the characteristic information of the target tissue included in the ultrasound image can be identified, and it can be judged whether it meets the preset image standard.

The preset image standard can be used to measure whether the ultrasound image is standard. The condition for meeting the preset image standard may be: there is no interfering tissue feature in the ultrasound image or there is interfering tissue feature in the ultrasound image, and the interfering tissue feature is consistent with the ultrasound image. The shortest distance between the regions of interest in the image is greater than the preset threshold, where the shortest distance may be the shortest distance in a straight line. Of course, the condition for meeting the preset image standard may also be that there are no interfering tissue features in the region of interest in the ultrasound image. Exemplarily, when the target tissue is the liver, the preset image standard may include: the largest section of the right anterior lobe of the liver in the intercostal space on the right side of the thorax, the central area is the liver parenchyma without obvious blood vessels, and may also include distance from the gallbladder and liver capsule. Identical structure, or visible intact diaphragm, etc., that is, liver parenchyma is included in the ultrasound image. Illustratively, taking the target tissue as the liver as an example, an ultrasound image that meets the preset image standard may be as shown in FIG. 6, where the ultrasound image clearly conforms to the largest section of the right anterior lobe of the liver in the intercostal space on the right side of the thorax, and the central area is the liver Substantial and no obvious blood vessels, no gallbladder, liver capsule and other structures, clear and complete diaphragm, etc. can be seen.

In a possible implementation, if the first ultrasonic echo signal includes an A-type ultrasonic echo signal or an M-type ultrasonic echo signal, it can be determined by detecting whether the slope of the signal intensity changes significantly with the depth. Meet the preset image standards.

Specifically, taking the target tissue as liver tissue as an example, if the A-mode ultrasonic echo signal or the M-mode ultrasonic echo signal is uniformly attenuated from near to far from the probe, it is determined that the ultrasonic image meets the preset image standard. Among them, for example, if the signal intensity changes uniformly from the near field to the far field, it is determined that the ultrasound image meets the preset image standard. Among them, the near field and the far field are used to indicate the positional relationship of the probe, and the distance from the near field to the probe is close. The distance from the far field to the probe. If the A-mode ultrasonic echo signal or the M-mode ultrasonic echo signal changes from near to far away from the probe, it shows non-uniform attenuation, which means that the ultrasound image may not only contain liver tissue, but also liver envelope, or It may contain blood vessel areas or other interfering tissues, so it is determined that the ultrasound image does not meet the preset image standards.

For example, if the target tissue is the liver, the preset image standards may include: the detection area is in the liver; the detection area is at a certain distance from the liver capsule; there are no blood vessels in the detection area; the detection area only includes blood vessels with small diameters, and there is no A blood vessel with a large diameter; or the detection area does not include interfering tissue features, etc., the detection area can be understood as the area of interest in the entire ultrasound imaging area, or the entire ultrasound imaging area. It can receive the A-type ultrasonic echo signal or M-type ultrasonic echo signal of the target tissue through a single-element or multi-element probe, and detect the signal strength of the received A-type ultrasonic echo signal or M-type ultrasonic echo signal, As shown in Figure 7A, the signal strength attenuates as the distance from the probe increases, and the signal strength shows a uniform attenuation, which means that the ultrasound image does not include blood vessels, liver capsule, or other interfering tissue features, that is, the ultrasound image satisfies Preset image standards. In another case, please refer to Figure 7B. The signal strength is non-uniform attenuation, which means that the ultrasound image may not only include liver tissue, but also liver capsule, or may include blood vessel areas or other interfering tissues. Therefore, it is determined that the ultrasound image does not meet the preset image standard. Correspondingly, the obtained B image can be seen in Figure 7C. The ultrasound image can be used to visually observe whether the detection area is inside the liver, and the detection area only includes the liver, and does not include the liver capsule, blood vessels with large diameters, or other interfering tissue features. And so on, so as to get more standard ultrasound images. For example, as shown in FIG. 9, the detection area may include blood vessels, that is, the ultrasound image does not meet the preset image standard.

When the first ultrasonic echo signal includes an A-type ultrasonic echo signal or an M-type ultrasonic echo signal, the following method may also be used to determine whether the ultrasonic image meets the preset image standard. For example, the A-type ultrasonic echo signal or the M-type ultrasonic echo signal can be divided into multiple ultrasonic echo signals of equal length, and the slope of each segment can be detected separately. If the slopes of each segment are relatively close, that is, the deviation between the slopes of the ultrasonic echo signals of each segment is less than the threshold, so it can be determined that the ultrasound image meets the preset image standard. If there is a large deviation in the slope of some areas, it indicates that the detection area is not inside the liver, or contains liver capsules, blood vessels, or other interfering tissues, and it can be determined that the ultrasound image does not meet the preset image standard.

Among them, a variety of algorithms can be used to determine whether the deviation between the slopes of each piece of ultrasonic echo data is less than the threshold. For example, the variance of the slopes of all segments can be calculated and compared with a preset threshold. If the magnitude of the obtained variance is less than the threshold, it is determined that the ultrasound image meets the preset image standard. If the obtained variance is greater than the threshold, it means that the ultrasound image does not meet the preset image standard.

Exemplarily, in the embodiment of the present application, after the A-mode ultrasonic echo signal or the M-mode ultrasonic echo signal is obtained, the signal may be divided into multiple ultrasonic echo signals of equal length, where the same length may mean that the depth difference is equal. Or the depth difference is equal, as shown in Figures 8A and 8B, and then the slope of each segment of the echo signal is calculated. If the slope of each segment is close, it means that the detection area is inside the liver and does not include liver capsule, blood vessels, or other interfering tissue features. If the slope of each segment is different, it means that the detection area is not inside the liver, or contains liver envelope, blood vessels, or other interfering tissue features.

In a possible implementation manner, after obtaining the ultrasound image of the target tissue, the region of interest (ROI) in the ultrasound image can also be determined.

Specifically, the region of interest can be determined based on the ultrasound image, for example, the region of interest can be determined automatically based on the ultrasound image by the ultrasound imaging system, or based on the input data of the user. For example, if the target tissue is the liver, the liver parenchymal region in the ultrasound image can be determined as the region of interest, or the user can input which region is selected as the region of interest, or it can also be the liver parenchymal region in the ultrasound image. After it is the region of interest, make adjustments based on the user's input data.

Correspondingly, the preset image standard may include: the ultrasound image does not include interfering tissue features, or there is no interfering tissue feature in the region of interest, and so on. It can be understood that the preset image standard image may include: the ultrasound image does not include interfering tissue features, or there are interfering tissue features in the ultrasound image, but the area where the interfering tissue feature is located does not overlap with the region of interest in the ultrasound image .

In a possible implementation, after the region of interest is determined in the ultrasound image, the region of interest prompt box can be generated according to the position of the region of interest in the ultrasound image, as shown in FIG. 10, the region of interest prompt box is as Shown at 1001. So that the user can clearly observe the area of interest and improve the user experience.

It should be understood that in the embodiments of the present application, the shape of the prompt box mentioned above or below is not limited, and can be specifically adjusted according to actual application scenarios, for example, it can be a rectangle, a square, or other collective shapes or characteristic boundary shapes.

In a possible implementation, the feature in the ultrasound image can be directly extracted, and the feature can be compared with the feature included in the preset image standard. If it matches the feature included in the preset image standard, it is determined The ultrasound image conforms to the preset image standard.

Specifically, the recognition of ultrasound images may specifically include feature extraction, feature coding, and feature classification. Generally, the extraction of appropriate features can improve the accuracy of ultrasound image recognition, and can extract the underlying features in ultrasound images, such as scale-invariant feature transform (SIFT), Haar features, and directional gradient histogram (Histogram). of Oriented Gradient, HOG) and other features, as well as derived features that combine the information of motion, edge, and shape. Feature encoding can be performed after extracting features. Feature encoding can improve the efficiency of recognition. Feature encoding methods can include but are not limited to: bang of visual words (BoVW), local feature aggregation descriptors (vector of locally aggregated descriptors) , VLAD), Fisher Vector (Fisher Vector, FV), etc. After feature encoding, feature classification can be performed, and the encoded features can be processed through feature classification to realize the recognition of ultrasound images. The feature classification method can include various machine learning algorithms, such as Support Vector Machine (Support Vector Machine). Machine, SVM) or other similar algorithms.

In a possible implementation manner, before step 503, offline training may be performed to obtain a model for recognizing ultrasound images. Specifically, offline training can be performed based on a large number of historical ultrasound images and related data. For example, corresponding features can be extracted for important features such as liver parenchyma, blood vessels, diaphragm, gallbladder, fat layer, acoustic shadow, ascites, etc. related to the liver. Value to obtain the corresponding recognition model and complete the encapsulation. Correspondingly, step 503 may include: inputting the ultrasound image into the model obtained by offline training, and then determining whether the ultrasound image meets the preset image standard through the model obtained by offline training. Specifically, model training can be performed through deep learning methods such as convolutional neural network, recurrent neural network, cyclic neural network, etc., to obtain the recognition model of the ultrasound image, which can realize the accurate recognition of the features included in the ultrasound image.

In a possible implementation manner, the recognition model obtained by offline training may be used to output a value of the degree to which the ultrasound image meets the preset image standard. Correspondingly, step 503 may include: determining whether the value of the degree to which the ultrasound image meets the preset image standard is greater than the value of the preset image standard degree; if the value of the degree to which the ultrasound image meets the preset image standard is greater than the preset image standard degree value, then Determine that the ultrasound image meets the preset image standard. If the value of the ultrasound image conforms to the preset image standard is not greater than the preset image standard degree value, then it is determined that the ultrasound image does not meet the preset image standard. The preset image standard degree value can be specifically Set according to actual application scenarios, and there is no limitation here.

504. If the ultrasound image meets the preset image standard, generate and output first prompt information.

After it is determined that the ultrasound image does not meet the preset image standard, first prompt information may be generated and output.

Wherein, the first prompt information is used to indicate that there are no interfering tissue features in the ultrasound image or that there are interfering tissue features in the ultrasound image, and the shortest distance between the interfering tissue feature in the ultrasound image and the region of interest in the ultrasound image is greater than expected Set the threshold.

It can be understood that the first prompt information may be used to prompt whether the ultrasound image is a standard section, or the standard degree of the ultrasound image, or the like. This allows the user to determine whether to perform subsequent elastography based on the first prompt information.

Specifically, outputting the first prompt information may include: if the first prompt information includes information such as image, text, or color, the first prompt information may be displayed on the display, and if the first prompt information includes information such as audio, video, etc. , You can play the audio through the speaker, or play the video through the monitor and speaker, etc.

In addition, in the following embodiments of the present application, the output prompt information, prompt box, or flexible result data can be referred to in the following manner. Take the prompt information as an example: if the prompt information includes information such as images, text, or colors, it can be displayed in the display The prompt information is displayed. If the prompt information includes audio, video and other information, the audio can be played through the speaker, or the video can be played through the display and the speaker, which will not be repeated in the following embodiments.

In a possible implementation manner, outputting the first prompt information may include: if the region of interest prompt box is displayed in the ultrasound image, the region of interest prompt box may be superimposed and displayed in the ultrasound image with a determined color, or The region-of-interest prompt box is displayed in different regions with the ultrasound image through a certain color. Among them, the ROI prompt boxes of different colors are used to indicate the degree to which the ultrasound image meets the preset image standard. Specifically, the mapping relationship between the color of the prompt box of the region of interest and the degree to which the ultrasound image meets the preset image standard can be preset. After determining the degree to which the ultrasound image meets the preset image standard, the interest can be determined according to the mapping relationship. The color of the area tooltip. For example, if the degree to which the ultrasound image meets the preset image standard is higher than the first threshold, the color of the prompt box of the region of interest is green, and if the degree to which the ultrasound image meets the preset image standard is not higher than the first threshold and not lower than The second threshold, the color of the area of interest prompt box is yellow or orange. If the ultrasound image meets the preset image standard to a degree lower than the second threshold, the color of the area of interest prompt box is red, etc., of course, the area of interest The color of the prompt box can be set according to the factory settings or customized settings, and can be adjusted according to actual application scenarios, which is not limited in this application.

In a possible implementation manner, the first prompt information may further include an interference tissue feature prompt box. For example, as shown in Figure 11, while displaying the region of interest prompt box, it is also possible to display the interference tissue feature

prompt boxes

1101 and 1102, and the shortest distance between the interference tissue feature

prompt box

1101 and 1102 and the region of interest prompt box 1001 The distance is greater than the preset threshold, that is, the interfering tissue feature

prompt boxes

1101 and 1102 and the region of interest prompt box 1001 at least do not overlap. The user can learn the interference tissue in the ultrasound image according to the displayed interference tissue feature prompt box, so as to adjust the angle, coverage, etc. of acquiring the ultrasound image in time.

Specifically, the interference tissue feature refers to the tissue feature that interferes with the detection of the target tissue. When the target tissue is the liver, the interfering tissue characteristics can be understood as other characteristics besides the liver parenchyma. For example, if the ultrasound image includes liver parenchyma, blood vessels, diaphragm, gallbladder, fat layer, acoustic shadow, ascites, etc., the blood vessels, Diaphragm, gallbladder, fat layer, sound shadow, ascites and other characteristics are all interfering tissue characteristics.

Generally, the color of the prompt box of the region of interest and the prompt box of the interference tissue feature may be different, so that the user can more easily distinguish the region of interest from the interference tissue feature.

In a possible implementation manner, the first prompt information may include one or more of voice, text, characters, graphics, or numbers. Specifically, the first prompt information can be used to prompt whether the ultrasound image is a standard image, or the standard degree of the ultrasound image, etc., or the first prompt information can also be used to prompt whether there are interfering tissue features in the ultrasound image, and It can be used to prompt location information that interferes with the characteristics of the organization. Exemplarily, the first prompt information may include prompt information such as text prompts, standard degree values, etc., for example, text prompts prompting to continue elastography can be output directly in the ultrasound image or around the ultrasound image, or when the ultrasound image can be output In the case of the standard degree value, the standard degree value and so on can be directly output.

505. Perform elastography on the target tissue.

Among them, performing elastography is to image the elastic parameters of the target tissue to reflect the softness and hardness of the tissue. That is, elastography needs to measure the elastic parameters of the target tissue. Specifically, it can measure the propagation speed, hardness, and elastic modulus of the shear wave. The elastic modulus can also be called the elastic coefficient. Among them, the propagation speed of the shear wave is related to the elastic modulus, which is the hardness of the tissue, and the elastic modulus is related to the hardness of the tissue. Exemplarily, a schematic diagram of elastography may be as shown in FIG. 12, wherein the propagation velocity and propagation path of shear waves can be reflected in the elasticity image, so that the user can intuitively know the softness and hardness of the target tissue based on the elasticity image.

It should be noted that the present application does not limit the order of outputting the first prompt information and step 505. The first prompt information may be output first, or step 505 may be performed first, which can be specifically adjusted according to actual application scenarios.

In a possible implementation, step 505 may include: transmitting a shear wave that vibrates the target tissue to the target tissue, and sending a second ultrasonic wave to the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain The second ultrasonic echo signal, and the elastic parameter of the target tissue is determined according to the second ultrasonic echo signal, and the elastic parameter is output.

Specifically, after the elastic result is obtained, the elastic result can be displayed. It can directly display the elastic parameters obtained by elasticity measurement, for example, it can directly display the elastic modulus. In the embodiment of the present application, multiple elastography can also be performed to obtain multiple elastic parameters. After obtaining multiple elastic parameters, the multiple elastic parameters can be displayed, or the average, maximum, minimum, variance, quartile, quartile divided by median, One or more of the number of valid measurements, the number of invalid measurements, and the total number of measurements. More specifically, for the multiple elastic parameters, please refer to the related description in FIG. 29 below, which will not be repeated here.

In one possible scenario, based on the aforementioned ultrasonic imaging system 10, the vibrator 106 vibrates, and then drives the ultrasonic probe 100 to vibrate to generate a shear wave perpendicular to the ultrasonic probe 100. When the ultrasound probe 100 contacts the target tissue, it prompts the target tissue to vibrate to generate a shear wave. Shear waves can provide thrust to the target tissue in the direction of propagation, the target tissue moves or deforms under the thrust, and due to the elasticity of the target tissue itself, it rebounds after moving or deforming. Therefore, based on the shear wave, the second ultrasonic wave is simultaneously emitted. The rebound of the target tissue under the influence of the shear wave can be obtained to determine the elastic parameters of the target tissue. In the embodiment of the present application, the vibrator is used to drive the probe to vibrate, and the target tissue is prompted to generate shear waves. Simultaneously emit the second ultrasonic wave and receive the second ultrasonic echo signal. Therefore, the second ultrasonic echo signal can be used to record the morphological change of the target tissue driven by the shear wave, and the elastic parameters of the second region of the target tissue can be accurately determined. Of course, it is also possible to send a push pulse to the target tissue to generate a shear wave according to the acoustic radiation force, and further, send a second ultrasonic wave to the target tissue to track the shear wave propagating in the target tissue, and receive the second ultrasonic echo signal , Determining the elastic parameter of the second region of the target tissue according to the second echo signal.

In a possible implementation manner, determining the elastic parameter of the target tissue according to the second ultrasonic echo signal may specifically include: obtaining the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal; extracting the propagation path The characteristic information of the target organization is determined according to the characteristic information in the propagation path.

Specifically, the target tissue can rebound under the influence of shear waves. While sending shear waves to the target tissue, the second ultrasound can be continuously sent to the target tissue or the first ultrasound can be continuously sent to the target tissue. In the following embodiments of the present application, the second ultrasound is sent to the target tissue, and the target tissue is received based on the first ultrasound. The second ultrasonic echo of the second ultrasonic wave will be described as an example. The parameters included in the second ultrasonic echo signal can record the state of the target tissue at a certain moment when the shear wave is received, and the state at another moment when the shear wave is received, that is, these two states can reflect the shear The propagation path of the wave in the target tissue is calculated, the displacement value of the target tissue between these two states is calculated, and the elastic parameter of the target tissue is determined according to the displacement value. Furthermore, the elasticity parameter of the target tissue may include an elasticity coefficient. Under the same shear wave, the larger the elastic coefficient, the smaller the strain of the target tissue; conversely, the smaller the elastic coefficient, the greater the strain of the target tissue.

Among them, after determining the propagation path of the shear wave in the target tissue, the length and time of the propagation path of the shear wave in the target tissue can be determined, and the speed at which the shear wave propagates in the target tissue can be determined accordingly. Determine the elastic coefficient of the target tissue according to the propagation speed of the shear wave in the target tissue.

In a possible implementation, the region for performing elastography in this application may be a region of interest. For example, if the target tissue is the liver, the region of interest may be a uniform liver parenchyma region. When there is no interfering tissue feature in the ultrasound image, or the shortest distance between the interfering tissue feature and the region of interest is greater than a preset threshold, elastography can be performed.

Correspondingly, after the region of interest is determined, the elastic parameter corresponding to the region of interest can be determined according to the second ultrasonic echo signal. For example, after automatically determining the region of interest or determining the region of interest based on user input data, extract the propagation information of the shear wave in the region of interest, which can include the propagation time of the shear wave, the length of the propagation path, etc., and then calculate the shear wave. The propagation speed of the shear wave in the region of interest can be used to obtain the elastic coefficient in the region of interest.

In a possible implementation manner, after obtaining the propagation path of the shear wave in the target tissue, if it is determined that the propagation path of the shear wave is blocked, the third prompt information is generated, which may specifically be the determination of the shear wave propagation path. There is the location information of the interfering tissue feature that has the path blocked, the third prompt information is generated according to the location information of the interfering tissue feature, and the third prompt information is output, wherein the third prompt information is used to indicate the target Perform ultrasound imaging of the tissue again, or adjust the size and/or position of the region of interest, where the ultrasound imaging can be performed again by replacing the ultrasound image, which can be a basic image, for example, B image, C image, PW Images, CW images, etc., can also be elastic images. For example, as shown in FIG. 13A, according to the elastic image on the right side of FIG. 13A, it can be seen that the path of the shear wave is blocked at the start position of the prompt frame of the region of interest, and the third prompt information is generated, which can specifically be the determination of interest The corresponding depth of the block in the area, that is, the position where the block is present, and the third prompt information is generated according to the block position. The third prompt information may be a block with a preset color as shown in FIG. 13A. The feature prompt box can also be a text prompt, such as directly prompting "path blocking", etc. Of course, the corresponding text prompt can be performed while the blocking feature prompt box is displayed. This allows the user to perform ultrasound imaging again according to the prompt information, so as to avoid the position where the shear wave path is blocked. For another example, as shown in Figure 13B, according to the elastic image on the right, it can be seen that the path of the shear wave is blocked at the bottom position of the prompt box of the region of interest, and the corresponding blocked position in the region of interest can be determined, and based on the blocking The third prompt information is generated at the broken position, and the third prompt information may be a block feature prompt box as shown in FIG. 13B, or a text prompt, etc. In this way, the user can adjust the size or position of the region of interest in the ultrasound image according to the prompt information, so as to avoid the position that blocks the shear wave path.

In a possible implementation manner, after the propagation path of the shear wave in the target tissue is obtained, if there is a turning point in the propagation path of the shear wave, the fourth prompt information is generated, which may specifically be to determine the existence path of the shear wave. The position information of the interfering tissue feature at the transition; the fourth prompt information is generated according to the position information of the interfering tissue feature, and the fourth prompt information is output, wherein the fourth prompt information is used to indicate the adjustment of the size and/or location of the region of interest. The fourth prompt information can be a text prompt, such as "adjust the position of the region of interest", or a prompt box marking the interference tissue feature, or a modified prompt box of the region of interest, etc., where the interference tissue feature prompt The color of the box is different from the color of the prompt box of the region of interest. For another example, as shown in FIG. 14A, the elastic image includes the shear wave path corresponding to the region of interest prompt frame 1401, and there is a turning in the shear wave path, and the position of the interfering tissue feature that causes the turning of the shear wave can be determined. , And generate an updated area of interest prompt box 1402, that is, the fourth prompt information. The updated area of interest prompt box 1402 does not include interfering tissue features, and is included in the area of interest prompt box 1401, so that the user The elastic imaging can be performed again according to the updated region of interest prompt box 1402, or the user can adjust the region of interest according to the updated region of interest prompt box 1402. For another example, as shown in FIG. 14B, when the interference tissue feature causes a twist on the shear wave path corresponding to the region of interest prompt box 1401, the updated region of interest prompt box 1403 can be updated and generated, and the updated region of interest prompt box 1403 can partially overlap with the region of interest prompt frame 1401, and avoid interfering with tissue features, so that the user can perform elastography again according to the updated region of interest prompt box 1403, or the user can follow the updated feeling The region of interest prompt box 1403 adjusts the region of interest and so on.

Usually, when the target tissue is the liver, it may be due to ribs occlusion, thick fat layer or vascular interference, etc., which may form interference tissue characteristics, interfere with the calculation of the elastic parameters of the target tissue, and cause the propagation path of shear waves to be blocked or Turning and so on. In this scenario, when the interfering tissue characteristics produce a turning point for the shear wave, the region of interest can be re-determined or the user is prompted to reselect the region of interest to select a propagation path without turning, and then obtain accurate elastic parameters. When the path of the shear wave is blocked, the effective value of the elastic parameter is usually unable to be measured. Even if the elastic parameter is output, the credibility is low, and the corresponding information can also be reflected in the elastic image, for example, the shear wave When the elasticity image is generated, the displacement and strain of the target tissue can also be recorded as intermediate observation values, which can include judging whether there is a significant decrease in the amplitude of the shear wave, and the path width. If the width has abnormal fluctuations, etc., record the depth at which the amplitude has decreased significantly, the path width has abnormal fluctuations, etc., and display the corresponding interfering tissue characteristics in the elastic image, so that the user can intuitively check the elastic image included Information is observed.

It should be understood that the intermediate observation values such as the displacement and strain of the target tissue mentioned in this application may also be referred to as TE information, and the TE information may also include data or information generated in the process of calculating elastic parameters.

In a possible implementation manner, after the propagation path of the shear wave in the target tissue is obtained, if the propagation path of the shear wave is continuous, the fifth prompt information is generated and output, and the fifth prompt information is used to indicate no Need to adjust the size and/or location of the region of interest. It can also be understood that the fifth prompt information is used to indicate that there is no interfering tissue feature in the ultrasound image. Exemplarily, an ultrasound image and an elastic image with a continuous propagation path may be as shown in FIG. 15. Specifically, the fifth prompt information may be reflected by the color of the prompt box of the region of interest. When the color of the prompt box of the region of interest is a preset color, for example, green, yellow, etc., it can indicate that there is no need to adjust the region of interest. Size and/or location.

In a possible implementation manner, before step 505, the method further includes: receiving an elastography instruction for the target tissue; and performing elastography on the target tissue in response to the elastography instruction. For example, after the ultrasound image of the target tissue is obtained, the first prompt message can be output to prompt that the ultrasound image is available, and subsequent elastography operations can be performed, and an elasticity instruction is generated according to the user's input operation or input data, and responds to the instruction Perform elastography of the target tissue.

In a possible implementation manner, before step 505, the pressure generated by the probe on the target tissue may also be obtained, and if the pressure is within a preset range, the elastic parameter of the target tissue is determined according to the second echo signal. When the pressure is not within the preset range, a pressure prompt message can be generated to prompt the user to increase the pressure of the probe, or a pressure confirmation message can be generated, and after receiving the confirmation instruction input by the user, the elastic parameter measurement of the target tissue is continued. Therefore, in the embodiments of the present application, elastography is performed only when the pressure is within a suitable range, which further improves the accuracy of elastography, and enables the elasticity parameters to better reflect the softness and hardness of the target tissue.

In a possible implementation manner, the above method may further include: acquiring a historical elastic parameter corresponding to at least one historical ultrasound image of the target tissue, and outputting the historical ultrasound image and the historical elastic parameter. Therefore, in the embodiments of the present application, historical ultrasound images and corresponding historical elastic parameters can also be acquired and output at the same time, so that users can intuitively observe the current ultrasound images and elastic parameters, and historical ultrasound images and historical elastic parameters. Observe the changes in the elastic parameters of the target group and get the status of the target organization in time. Exemplarily, as shown in Figure 16, the current ultrasound image and elasticity image can be displayed simultaneously on the same display interface, together with the historical ultrasound image and historical elasticity image, so that the user can intuitively observe the change of the elastic parameter of the target group , Be informed of the status change of the target organization in time.

In a possible implementation manner, the above method may further include: determining the degree of matching between the ultrasound image and the historical ultrasound image, and generating sixth prompt information according to the degree of matching, and outputting the sixth prompt information. Among them, convolutional neural networks, recurrent neural networks, cyclic neural networks, global or local correlation matching methods (such as absolute difference correlation, regularization correlation, etc.), motion tracking methods (such as background subtraction, frame difference, optical flow, etc.) ) And other methods to perform image recognition, and obtain the value of the matching degree between the ultrasound image and the historical ultrasound image. It can also be based on global or local correlation algorithms, such as absolute difference correlation algorithm, regularization correlation algorithm, etc.; motion tracking can also be used Methods, such as background subtraction, frame difference, optical flow and other algorithms, calculate the value of the matching degree between the ultrasound image and the historical ultrasound image. Then, the sixth prompt information is generated according to the value of the matching degree. The sixth prompt information may include the value of the matching degree, or a prompt box or prompt pattern of the color corresponding to the value of the matching degree, or a text prompt, etc. The sixth prompt information may also indicate different matches by using different colors. The value of degrees. Exemplarily, as shown in FIG. 17, the current ultrasound image and the elastic image can be simultaneously displayed in the same display interface, and the historical ultrasound image and the historical elastic image, and the matching degree value (as shown in FIG. 17 "matching Degree: 80%"). The user can determine the reference of historical ultrasound images and historical elastic parameters according to the displayed matching degree. For another example, images of different colors can represent different degrees of matching. The pattern may be a circular pattern. When the circular pattern is green, it indicates a higher degree of matching. When the pattern is orange or red, it indicates the degree of matching. Lower, so that the user can intuitively observe the matching degree between the historical ultrasound image and the current ultrasound image.

In a possible implementation manner, from at least one historical ultrasound image, one or more historical ultrasound images that have a matching degree with the current ultrasound image higher than a threshold value and corresponding historical elasticity parameters may be selected for display. For example, you can input user information corresponding to the target organization, retrieve the user's historical inspection information, and select the inspection information related to the target organization in the historical inspection information, and determine the matching degree between the current ultrasound image and the historical ultrasound image, and select the current ultrasound image. The ultrasound images are consistent or similar historical ultrasound images, and the corresponding historical elastic parameters are obtained. Moreover, the matching degree can be reflected by the color of the region of interest prompt box. For example, when the matching degree is high, the color of the region of interest prompt box in the current ultrasound image or historical ultrasound image can be green, and when the matching degree is relatively high When it is low, the color of the prompt box of the region of interest in the ultrasound image or historical ultrasound image can be orange or red.

In a possible implementation manner, in step 502, historical ultrasound images, ultrasound images obtained according to the first ultrasound echo signal, and the matching degree may also be displayed at the same time, so that the user can determine according to the first ultrasound echo signal according to the matching degree. For the ultrasound image obtained by the ultrasound echo signal, the angle and coverage of the probe are adjusted in time to improve the matching degree between the ultrasound image obtained according to the first ultrasound echo signal and the historical ultrasound image. This allows the user to intuitively observe ultrasound images similar to historical ultrasound images and the corresponding elastic parameters, and more accurately learn the state changes of the target tissue.

Specifically, it is also possible to display historical ultrasound images while acquiring ultrasound images according to the first ultrasound echo signal, and to indicate the matching degree between the historical ultrasound image and the ultrasound image obtained according to the first ultrasound echo signal through the region of interest. The color of the box reflects that different matching degrees can correspond to different colored regions of interest prompt boxes. For example, the historical ultrasound image can be referred to as shown in FIG. 16 or FIG. 17. In step 502, when the ultrasound image is acquired according to the first ultrasound echo signal, the ultrasound image acquired according to the first ultrasound echo signal can be displayed at the same time, and Determine the region of interest in the ultrasound image. If the matching degree between the current ultrasound image and the historical ultrasound image is higher than the threshold, the displayed region of interest prompt box can be green. If the matching degree between the current ultrasound image and the historical ultrasound image is not higher than Threshold, the displayed area of interest prompt box can be yellow, orange or red. For example, an ultrasound image similar to the historical ultrasound image of FIG. 16 or FIG. 17 may refer to FIG. 18A, and an ultrasound image that is not similar to the ultrasound image shown in FIG. 16 and FIG. 17 may refer to FIG. 18B. Therefore, the user can select an ultrasound image similar to the historical ultrasound image for subsequent elasticity measurement.

In a possible implementation, after the elastography is completed, the result of the elastography may be output. Specifically, the acquired ultrasound images, elastic images, and elastic parameter measurement results can be displayed. Among them, in order to improve the accuracy of the measurement results, multiple elastography or multiple elastic parameter measurements can be performed, and the multiple elastic parameter measurement results and the final elastic result can be displayed. Exemplarily, as shown in FIG. 19, after the ultrasound image and the elastic image are obtained, the ultrasound image and the elastic image are displayed, as well as the elastic coefficient 1901 and the final elastic coefficient 1902 of multiple elastic measurements, and the shearing can also be displayed. The propagation path and propagation time of the wave are used to calculate the propagation velocity of the shear wave, and then calculate the elastic coefficient of the target tissue.

Specifically, after the results of multiple elastic measurements are obtained, the elastic parameters of the multiple elastic measurements can be averaged to obtain the final elastic parameters, or the final elastic parameters can also be determined according to the distribution law of the elastic parameters of the elastic measurement It is also possible to perform weighted calculations to obtain the final elastic parameters, etc., according to the confidence of each elastic parameter or in combination with the confidence of the ultrasound image or the elastic image, etc., which can be specifically adjusted according to actual application scenarios.

506. If the ultrasound image does not meet the preset image standard, generate and output second prompt information.

Wherein, if the ultrasound image does not meet the preset image standard, second prompt information is generated and output, and the second prompt information is used to indicate that there is an interfering tissue feature in the ultrasound image, and the interfering tissue feature is related to the region of interest in the ultrasound image Not greater than the preset threshold, that is, the distance between the interfering tissue feature and the region of interest is too close, or close to each other, or the interfering tissue feature is located in the region of interest. The user can adjust the region of interest according to the second prompt information, or perform ultrasound imaging again.

Exemplarily, as shown in FIG. 20, after identifying the presence of interfering tissue in the ultrasound image and determining the region of interest in the ultrasound image, if the region where the interfering tissue is located is completely or partially overlapped with the region of interest or is too far away Nearly, second prompt information is generated, and the second prompt information may be a prompt box 2001 as shown in FIG. 20. The color of the prompt box 2001 can be different from the color of the prompt box of the region of interest. For example, the prompt box 2001 can use colors such as red or orange, and the region of interest can use colors such as green or yellow. In addition, the color of the area of interest prompt box can also be yellow, orange, or red to remind the user to adjust the area of interest or perform ultrasound imaging again.

Therefore, in the embodiments of the present application, after obtaining the ultrasound image of the target tissue, it can be further determined whether the ultrasound image meets the preset image standard, and if it does, the first prompt information is generated, and the ultrasound image and the first prompt information are output. The first prompt information may be used to indicate that there are no interfering tissue features in the ultrasound image, or that there are interfering tissue features in the ultrasound image, but the area where the interfering tissue feature is located does not overlap with the region of interest in the ultrasound image. The first prompt information may be used to prompt the user that the ultrasound image meets the preset image standard for the next operation. Therefore, the accuracy of the acquired ultrasound images can be improved by means of automatic identification, and the non-standard ultrasound images caused by manual selection can be avoided, which may lead to inaccurate subsequent measurement parameters. In addition, when the ultrasound image does not meet the preset image standard, the second prompt message can be used to prompt, so that the user can perform ultrasound imaging again, obtain a more standard ultrasound image, and make the result of elasticity measurement more accurate.

In conjunction with the aforementioned Figures 5-20, please refer to Figure 21. This application also provides another ultrasound imaging method, as described below.

2101. Transmit a first ultrasonic wave to a target tissue, and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal.

2102. Acquire an ultrasound image of the target tissue according to the first ultrasound echo signal.

2103. Determine whether the ultrasound image meets the preset image standard, if not, perform step 2104, and if not, perform other steps.

It should be noted that, for steps 2101-2103 in the embodiment of the present application, reference may be made to the relevant descriptions in the foregoing steps 501-503, which will not be repeated here.

2104. Generate and output second prompt information.

For step 2104 in this application, reference may be made to the related description in the foregoing step 506, which will not be repeated here.

In the embodiment of the present application, when the ultrasound image does not meet the preset image standard, the second prompt information can be generated and output, so that the user can learn in time that the ultrasound image of the target tissue does not meet the preset standard according to the output second prompt information, so that The user can observe the ultrasound image of the target tissue more intuitively, and then re-imagine the target tissue in time.

In conjunction with the aforementioned Figures 5-21, please refer to Figure 22. This application also provides another ultrasound imaging method, as described below.

2201. Transmit a first ultrasound to a target tissue, and receive a first ultrasound echo based on the first ultrasound to obtain a first ultrasound echo signal.

2202. Acquire an ultrasound image of the target tissue according to the first ultrasound echo signal.

2203. Determine whether the ultrasound image meets the preset image standard, if not, perform step 2204, and if not, perform other steps.

It should be noted that, for steps 2201-2203 in the embodiment of the present application, reference may be made to the related descriptions in the foregoing steps 501-503, which will not be repeated here.

2204. Perform elastography on the target tissue.

For step 2204 in the embodiment of the present application, reference may be made to the aforementioned step 505, which will not be repeated here.

In the embodiments of the present application, when the ultrasound image of the target tissue meets the preset standard, elastography can be performed on the target tissue, so that subsequent elastography can be based on the ultrasound image of the target tissue standard, so that the obtained elasticity result is more accurate.

In conjunction with the aforementioned Figures 5-22, please refer to Figure 23. This application also provides another ultrasound imaging method, as described below.

2301. Transmit a first ultrasound to a target tissue, and receive a first ultrasound echo based on the first ultrasound to obtain a first ultrasound echo signal.

2302. Acquire an ultrasound image of the target tissue according to the first ultrasound echo signal.

It should be noted that, for steps 2301-2302 in the embodiment of the present application, reference may be made to the related descriptions in the foregoing steps 501-502, which will not be repeated here.

2303. Determine a region of interest in the ultrasound image.

After the ultrasound image of the target tissue is obtained, the region of interest in the ultrasound image is determined for subsequent elastography.

Wherein, an area may be determined as the area of interest based on the ultrasound image, or the area of interest may be adjusted or determined according to the user's input, etc., which may be specifically adjusted according to actual application scenarios.

For example, if the target tissue is the liver, after obtaining the ultrasound image of the target tissue, image recognition can be used to automatically determine the uniform liver parenchyma area and non-interfering tissue features (such as blood vessels, ribs, etc.) in the ultrasound image. As a region of interest, alternatively, it can also receive data input by the user through an input device, and determine the region of interest based on the data input by the user, or, after the region of interest is automatically determined, receive data input by the user through the input device, And adjust the area of interest according to the data input by the user.

Specifically, after the region of interest is determined, a prompt box for the region of interest can also be generated, and the relevant description in the foregoing step 503 can be referred to, which will not be repeated here. In some possible implementation manners, steps 2301 to 2303 do not need to be executed every time or do not need to be executed at all.

2304. Control the target tissue to generate a shear wave, transmit a second ultrasonic wave to the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal.

It should be noted that step 2304 in the embodiment of the present application is similar to the related description in the foregoing step 505, and will not be repeated here.

2305. Obtain a propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path.

Wherein, after the second ultrasonic echo signal is obtained, the propagation path of the shear wave in the target tissue is determined according to the second ultrasonic echo signal, and the characteristic information in the propagation path is extracted.

The propagation path may be the propagation path of the shear wave in the region of interest. Correspondingly, the extracted propagation path may also be the characteristic information of the propagation path of the shear wave propagating in the region of interest.

Specifically, after determining the propagation path of the shear wave in the target tissue, the characteristic information of the shear wave propagation in the target tissue can be determined, including information such as the propagation time, propagation length, path turning, and path blocking of the shear wave. .

2306. Generate and output seventh prompt information according to the characteristic information in the propagation path.

Among them, after obtaining the propagation path of the shear wave in the target tissue and extracting the characteristic information in the propagation path, if it is determined according to the characteristic information that the propagation path of the shear wave does not meet the preset conditions, for example, there is a turning point in the propagation path Or blocking, etc., then the seventh prompt message is generated, and the seventh prompt message is output. The seventh prompt information is used to indicate to adjust the size and/or position of the region of interest, or to perform ultrasound imaging on the target tissue again, or there is no need to adjust the size and/or position of the region of interest.

In addition, if it is determined according to the characteristic information that the propagation path of the shear wave meets the preset conditions, the seventh prompt information is not generated, or the seventh prompt information can also be used to indicate that the propagation path of the shear wave is not abnormal or that there is no propagation path. Wait continuously.

It can be understood that, when it is determined that the shear wave is abnormal according to the characteristic information of the shear wave, for example, there is a blockage, a turning, etc. in the shear wave path, the seventh prompt message can be output to remind the user to readjust the area of interest. Size and/or location, or re-apply ultrasound imaging of the target tissue, etc., so that the propagation path of the subsequent shear wave obtained is continuous, and the obtained elastic parameters are more accurate.

In a possible implementation manner, after the user adjusts the size and/or position of the region of interest, the elastography can be continued. For the specific steps of elastography, please refer to the aforementioned step 505, which will not be repeated here.

Usually, there may be a turning point in the propagation path of the shear wave due to occlusion in the target tissue, thick fat layer, or vascular interference. This interference can be avoided after re-adjusting the size and/or position of the region of interest. The elasticity parameters obtained later still have certain clinical significance, and can reduce the number of elasticity measurements, reduce workload, and save costs.

Therefore, in the embodiment of the present application, after the propagation path of the shear wave is obtained, the characteristic information of the propagation path of the shear wave can be extracted, and the seventh prompt information can be generated according to the characteristic information, which can be used to remind to readjust the region of interest. Or re-carrying out ultrasound imaging can determine the abnormality of the shear wave propagation path in time, and remind the user to adjust the region of interest in time or re-carry out ultrasound imaging, so as to obtain more accurate elastography results.

In conjunction with the aforementioned Figures 5-23, please refer to Figure 24. This application also provides another ultrasound imaging method, as described below.

2401. Transmit a first ultrasonic wave to a target tissue, and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal.

2402. Acquire an ultrasound image of the target tissue according to the first ultrasound echo signal.

2403. Determine a region of interest in the ultrasound image.

It should be noted that in some possible implementation manners, steps 2401 to 2403 do not need to be executed every time or do not need to be executed at all.

2404. Control the target tissue to generate a shear wave, transmit a second ultrasonic wave to the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal.

2405. Obtain a propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path.

It should be noted that steps 2401-2405 in the embodiment of the present application are similar to the foregoing steps 2301-2305, and will not be repeated here.

2406. If the feature information does not meet the preset condition, adjust the size and/or position of the region of interest, or perform ultrasound imaging on the target tissue again.

Wherein, after the characteristic information in the propagation path of the shear wave is obtained, it can be judged whether the characteristic information meets the preset condition, and if the characteristic information does not meet the preset condition, the size and/or position of the region of interest are adjusted. It can be understood that when the feature information does not meet the preset conditions, it can indicate that the region of interest may not include the substantial area of the target tissue, or there are interfering tissue features, etc. Therefore, subsequent elastography cannot be performed, and the feeling can be adjusted at this time. The size and/or location of the region of interest is such that the substantial area of the region of interest includes the target tissue and does not include the features of the interfering tissue, or re-carry out ultrasound imaging to generate a new ultrasound image, and re-determine the region of interest so that The region of interest includes a substantial area of the target tissue and does not include interference tissue features, or the region of interest has interference tissue features, and the shortest distance between the interference tissue feature and the region of interest is greater than a preset threshold.

Exemplarily, it can be determined according to the characteristic information whether there is a turning or blocking or continuity in the propagation path of the shear wave (for details, please refer to the relevant description in the foregoing step 505). If there is a turning in the propagation path, the feeling can be adjusted. The size and/or location of the region of interest, if the propagation path is blocked, the target tissue can be re-imaged by ultrasound, so that the region of interest that meets the preset conditions can be subsequently determined based on the newly produced ultrasound image.

Therefore, in the embodiments of the present application, when the characteristic information of the propagation path of the shear wave does not meet the preset conditions, the size and/or position of the region of interest can be adjusted, or the target tissue can be re-imaged by ultrasound, so that the subsequent Determine the region of interest that meets the preset conditions to improve the accuracy of subsequent operations.

In conjunction with the foregoing Figures 5-24, please refer to Figure 25. This application also provides another ultrasound imaging method, as described below.

2501. Transmit a first ultrasonic wave to a target tissue, and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal.

2502. Acquire an ultrasound image of the target tissue according to the first ultrasound echo signal.

It should be noted that in some possible implementation manners, steps 2501 to 2502 do not need to be executed every time or do not need to be executed at all.

2503. Control the target tissue to generate a shear wave, transmit a second ultrasonic wave into the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal.

2504. Obtain a propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path.

Among them, steps 2501-2504 are similar to the aforementioned steps 2301-2302, 2304-2305, and will not be repeated here.

2505. Generate and output eighth prompt information according to the characteristic information in the propagation path.

After the characteristic information of shear wave propagation in the target tissue is obtained, eighth prompt information is generated according to the characteristic information, and the eighth prompt information is output. The eighth prompt information is used to indicate that the propagation path is blocked or turned or continuous.

Specifically, after the characteristic information of the propagation path is obtained, it can be determined according to the characteristic information whether the shear wave is continuous, and if it is not continuous, whether there is a turning or blocking. When the propagation path is continuous, the eighth prompt information is used to indicate that the path of the shear wave is continuous, and the elastography can be continued subsequently. When there is a turn in the propagation path, the eighth prompt information is used to indicate that there is a turn in the shear wave path, so that the user can adjust the region of interest or perform ultrasound imaging again according to the eighth prompt information. When there is an obstruction in the propagation path, the eighth prompt information is used to indicate that there is an obstruction in the shear wave path, so that the user can perform ultrasound imaging again according to the eighth prompt information.

More specifically, when there is a transition or interruption in the propagation path of the shear wave, the interfering tissue feature that forms the transition or interruption of the shear wave can also be determined, and the eighth prompt information can also include an interfering tissue feature prompt box. , Used to prompt the location of the interfering tissue feature in the propagation path. For details, please refer to the relevant description in the foregoing step 505.

In a possible implementation manner, after the eighth prompt message is output, ultrasound imaging can be performed again, and elastography can be continued. For specific steps of elastography, please refer to the foregoing step 505, which will not be repeated here.

In the embodiment of the present application, after the propagation path of the shear wave is obtained, the characteristic information of the propagation path of the shear wave can be extracted, and the eighth prompt information can be generated according to the characteristic information, thereby prompting that the propagation path has a twist, interruption, or continuity. In other cases, the elastography status of the target tissue can be displayed intuitively according to the eighth prompt information, so that the user can perform subsequent operations according to the eighth prompt information. For example, when the propagation path has a turning or blockage, imaging can be performed again. When the propagation path is continuous, the subsequent elasticity measurement can be continued, thereby improving the accuracy of obtaining the elasticity parameters of the target tissue.

In conjunction with the aforementioned Figures 5-25, please refer to Figure 26. This application also provides another ultrasound imaging method, as described below.

2601. Obtain historical ultrasound images of the target organization;

First, before ultrasound imaging of the target tissue, historical ultrasound images of the target tissue can be acquired.

The historical ultrasound image may be the ultrasound image of the target tissue saved before step 2601. For example, before ultrasound imaging of the target tissue, the identification information corresponding to the target tissue is input, and the historical ultrasound image corresponding to the target tissue is searched from the memory or database.

2602. Transmit a first ultrasonic wave to the target tissue, and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

Step 2602 in the embodiment of the present application is similar to the aforementioned step 501, and will not be repeated here.

2603. Determine the ultrasound image of the target tissue according to the first ultrasound echo signal and the historical ultrasound image.

Wherein, when performing ultrasound imaging on the target tissue, the historical ultrasound image of the target tissue can be referred to, and the ultrasound image of the target tissue can be determined according to the received first ultrasound echo signal and the historical ultrasound image.

Specifically, the ultrasound image whose matching degree with the historical ultrasound image satisfies a preset condition can be determined from the first ultrasound echo signal. In this way, the obtained ultrasound image of the target tissue is matched with the historical ultrasound image, which is convenient for the user to observe the state change of the target tissue.

In a specific embodiment, after the first ultrasonic echo signal is obtained, at least one temporary ultrasonic image can be generated according to the first ultrasonic echo signal, and the step of generating the temporary ultrasonic image is similar to the foregoing step 502, but here is not Go into details again. The matching degree between the historical ultrasound image and the at least one temporary ultrasound image is determined, and the temporary ultrasound image with the highest matching degree is selected from the at least one temporary ultrasound image as the ultrasound image of the target tissue. Or, output the at least one temporary ultrasound image and the corresponding matching degree with the historical ultrasound image, receive input data of the user, and determine one or more ultrasound images of the target tissue according to the input data of the user, that is, the user obtains from the at least one ultrasound image. One or more ultrasound images of the target tissue are selected from a temporary ultrasound image.

In another specific embodiment, when a temporary ultrasound image is obtained according to the first ultrasound echo signal, the degree of matching between the historical ultrasound image and the temporary ultrasound image is determined. If the matching degree is higher than the threshold, the temporary ultrasound image is used as the ultrasound image of the target tissue; if the matching degree is lower than the threshold, the ninth prompt message can be generated and output, and the ninth prompt message can include the temporary ultrasound image and history The value of the matching degree of the ultrasound image may also directly include prompt information instructing to perform ultrasound imaging on the target tissue again, so as to obtain an ultrasound image with a higher degree of matching with the historical ultrasound image.

It can be understood that the degree of matching between the current ultrasound image and the historical ultrasound image can be determined, and the current ultrasound image that is similar to the historical ultrasound image can be selected. Specifically, global or local correlation matching methods, such as absolute difference correlation algorithm, regularization correlation algorithm, etc., can also be used; motion tracking methods, such as background subtraction, frame difference, optical flow, and other algorithms, can be used to calculate the current ultrasound image and The matching degree of the historical ultrasound images is used to determine the ultrasound images that are similar or consistent with the historical ultrasound images.

In a possible implementation manner, when it is determined according to the first ultrasound echo signal that the ultrasound image whose matching degree with the historical ultrasound image is higher than the threshold or the highest, the temporary ultrasound image, the historical ultrasound image, the matching prompt information, etc. can be displayed at the same time, The matching prompt information may be used to prompt the matching degree of the temporary ultrasound image and the historical ultrasound image, so that the user can determine the ultrasound image whose matching degree of the historical ultrasound image is higher than the threshold or the highest according to the matching prompt information. For example, the matching prompt information may include different colors of the region of interest prompt box. The different colors of the region of interest prompt box indicate the degree of matching between the temporary ultrasound image and the historical ultrasound image. That is, the region of interest prompt box of different colors can be used to prompt the temporary The matching degree between the ultrasound image and the historical ultrasound image. For example, when the color of the prompt frame of the region of interest is green, it indicates that the temporary ultrasound image and the historical ultrasound image have a high match, and the temporary ultrasound image can be selected as the ultrasound image of the target tissue. For another example, the matching prompt information may also directly include text prompt information, and may also include prompt boxes of different shapes.

After the ultrasound image of the target tissue is obtained, the ultrasound image can be output.

In a possible implementation manner, in addition to outputting the ultrasound image, the obtained historical ultrasound image may also be output. Optionally, historical elastic parameters corresponding to historical ultrasound images can also be displayed. This allows the user to intuitively observe the target tissue based on the current ultrasound image, historical ultrasound image, or historical elasticity parameters displayed at the same time.

2604. Determine whether the ultrasound image meets the preset image standard, if yes, execute step 2605, and if not, execute other steps.

It should be noted that in some possible implementation manners, since the ultrasound image is determined based on the historical ultrasound image, the reliability of the ultrasound image is relatively high, so there is no need to perform step 2604 to directly perform elastography on the target tissue.

2605. Perform elastography on the target tissue.

Among them, steps 2604-2605 in the embodiment of the present application are similar to the aforementioned steps 2103-2104, and will not be repeated here.

In an optional implementation manner, after step 2603 or step 2604 or step 2605, historical elastic parameters corresponding to historical ultrasound images can also be obtained; and elastic parameters corresponding to ultrasound images can be obtained. Then determine the historical elastic parameters and the analysis results of the elastic parameters; output the historical elastic parameters, elastic parameters and the analysis results. For obtaining the elastic parameter corresponding to the ultrasound image, please refer to the related description in the foregoing step 505, which will not be repeated here. After the historical elastic parameters and elastic parameters are obtained, the historical elastic parameters and elastic parameters can be analyzed to obtain the analysis results of the current elastic parameters and the historical elastic parameters. And at the same time output historical elastic parameters, elastic parameters and analysis results, so that users can intuitively observe the changes in the target organization.

Specifically, the historical elastic parameter and the change trend or difference between the elastic parameter can be compared to obtain the analysis result. The analysis result may include the change trend of the elastic parameter of the target tissue, or include the difference value of the elastic parameter of the target tissue, and the like. Exemplarily, as shown in FIG. 27, the elastic coefficient change graph of the target tissue may be generated according to the historical elastic coefficient of the target tissue and the elastic coefficient corresponding to the ultrasound image obtained in step 2605, which is used to represent the change in the elastic coefficient of the target tissue. trend. For another example, as shown in FIG. 28, it is possible to simultaneously output historical ultrasound images and historical elastic images, as well as the currently obtained ultrasound images and elastic images, and also output the change value of the historical elastic parameter and the current elastic parameter. The change value is the same as that of the historical elastic parameter. The difference between the current elastic parameters. Among them, the historical elastic image can reflect the propagation condition or hardness of the shear wave during historical detection, and the currently obtained elastic image can reflect the propagation condition or hardness of the shear wave during the current detection. Therefore, the user can intuitively observe the change of the target tissue based on the output historical ultrasound image and historical elasticity image, the currently obtained ultrasound image and elasticity image, the change value of the historical elasticity parameter and the current elasticity parameter.

For example, after inputting the user’s information, retrieve the user’s historical examination information, select one or more historical ultrasound images from the user’s historical examination information, and send the first ultrasound to the user’s target tissue through the probe and receive the first ultrasound. After an ultrasound echo signal, the current ultrasound image is obtained, it is judged whether the current ultrasound image is consistent or similar to the historical ultrasound image, and the matching degree between the current ultrasound image and the historical ultrasound image is output at the same time. If the current ultrasound image is the same or similar to the historical ultrasound image, prompt information can also be displayed in the current ultrasound image, for example, the prompt box of the region of interest is displayed in a preset color, such as green, or it can be displayed that the elasticity measurement can be continued. Text reminder information, etc. Therefore, it is possible to perform ultrasound imaging based on the historical ultrasound image of the target tissue to obtain an ultrasound image similar to the historical ultrasound image, and only need a later elasticity measurement, so that the user can intuitively observe the change of the target tissue.

In the embodiment of the present application, when performing ultrasound imaging on the target tissue, the historical ultrasound image of the target tissue can be referred to, the ultrasound image with a high degree of matching with the historical ultrasound image can be obtained, and the ultrasound image can be displayed, so that the user can visualize the target tissue. Observe changes in the state of the organization.

In conjunction with the aforementioned Figures 5-28, please refer to Figure 29. This application also provides another ultrasound imaging method, as described below.

2901. Obtain an ultrasound image of the target tissue and elastic parameters corresponding to the ultrasound image.

Wherein, the target tissue can be subjected to N ultrasound imaging to obtain an ultrasound image of the target tissue and an elastic parameter corresponding to the ultrasound image, where N is the total number of detections of a positive integer.

For the process of acquiring each ultrasound image in the ultrasound image of the target tissue and the corresponding elastic parameter, please refer to the foregoing steps 501-505, which will not be repeated here.

In the embodiment of the present application, multiple elastography can also be performed to obtain multiple elastic parameters. After obtaining multiple elastic parameters, the multiple elastic parameters can be displayed, or the average, maximum, minimum, variance, quartile, quartile divided by median, One or more of the number of valid measurements, the number of invalid measurements, and the total number of measurements, wherein multiple elastic parameters can also be obtained for each elasticity measurement, which is not specifically limited here. For example, as shown in Figure 30, elastic parameters can be displayed, where Median represents the median value of the elastic parameters obtained from multiple measurements (e.g. 4.3 as shown in Figure 30); IQR represents the quartile value of multiple measurements (e.g. Figure 30 shows 1.3); IQR/Median represents the quartile value divided by the median value (for example, 29.0 shown in Figure 30). Of course, in addition to displaying the elastic parameters on the display, the elastic parameters can also be output in a way that the speaker plays the voice in the same way. This is only an exemplary description and not as a limitation.

2902. Determine the first confidence level set of the ultrasound image;

Wherein, the first confidence level set includes the value of the first confidence level of one or more ultrasound images in the ultrasound image.

Specifically, the standard ultrasound image of the target tissue can be determined, and then the confidence level of the ultrasound image can be determined according to factors such as the degree of matching between the ultrasound image and the standard ultrasound image, the characteristics of the interfering tissue and its location, and the first confidence level set is obtained. More specifically, the ultrasound image can be compared with the standard ultrasound image, and the first confidence value of one or more ultrasound images in the ultrasound image can be determined according to the degree of matching between the ultrasound image and the standard ultrasound image. Wherein, the standard ultrasound image is an ultrasound image that meets a preset standard, or a historical ultrasound image can be selected as the standard ultrasound image. The preset standard can be determined according to the morphology of the target tissue. For example, when the target tissue is the liver, the preset standard can be the largest section of the right anterior lobe of the liver between the ribs on the right side of the thorax, and the central area is the liver parenchyma without obvious blood vessels. It can also include structures far away from the gallbladder, liver capsule, or visible intact diaphragm, that is, liver parenchyma is included in the ultrasound image.

Specifically, global or local correlation matching methods, such as absolute difference correlation algorithm, regularization correlation algorithm, etc., can also be used; motion tracking methods, such as background subtraction, frame difference, optical flow, and other algorithms, can also be used to calculate the current The degree of matching between the ultrasound image and the standard ultrasound image. The matching degree of each image is proportional to the value of the first confidence degree of each image. The higher the matching degree, the greater the value of the first confidence degree of the ultrasound image, and the lower the matching degree, the better the ultrasound image The smaller the value of the first credibility. For example, if the matching degree between an ultrasound image and the standard image is 84%, the value of the first confidence level of the ultrasound image may be 84.

In a possible implementation manner, if the value of the first confidence of the first ultrasound image is lower than the first preset value, the first ultrasound image and the corresponding first elastic parameter are deleted, and the first confidence set is deleted In the first confidence level corresponding to the first ultrasound image, the first ultrasound image is any one of the ultrasound images. It can be understood that when the first confidence in one of the ultrasound images is low, it is possible that the ultrasound image has a low matching degree with the standard ultrasound image, and the reference value is not high. Therefore, the ultrasound image and the corresponding elastic parameter can be deleted , So as to improve the accuracy of subsequent elastic results.

2903. Determine the second confidence level set of the elastic parameter;

Wherein, the second confidence level set includes the value of the second confidence level of one or more elastic parameters in the elastic parameter.

Specifically, according to at least one of the amplitude attenuation of the shear wave corresponding to the elastic parameter, the propagation path information, and the intermediate observation value, the second confidence value of one or more of the elastic parameters can be determined to obtain the first Set of two confidence levels. Among them, the amplitude attenuation of the shear wave includes the attenuation of the amplitude of the shear wave when it propagates in the target tissue, which can be understood as the attenuation of the strength of the shear wave propagating in the target tissue, for example, the deeper the shear wave propagation depth , The smaller the intensity of the shear wave. The amplitude of this elastic parameter is attenuated. The propagation path information of the shear wave may include information such as the propagation speed, direction, and depth of the shear wave. The intermediate observation value may include the displacement value, the amount of strain, that is, the amount of deformation, etc., that the target tissue is affected by the shear wave when the target tissue generates the shear wave. Exemplarily, weighting or averaging can be performed according to the amplitude attenuation of the elastic parameter of one of the ultrasound images, the propagation path information of the shear wave, and the intermediate observation value, etc., to obtain the second confidence level of the elastic parameter corresponding to the ultrasound image.

In a possible implementation manner, an elastic image corresponding to an elastic parameter can be obtained, and the elastic image is used to identify the propagation path of the shear wave in the target tissue; thereby, the propagation path information of the shear wave is determined according to the elastic image. For the specific steps of obtaining the elastic image, please refer to the relevant description in the foregoing step 505, which will not be repeated here.

In a possible implementation, if the value of the second confidence of the second elastic parameter is lower than the second preset value, the second elastic parameter and the corresponding second ultrasound image are deleted, and the second confidence set is deleted The second confidence level corresponding to the second elastic parameter in the middle, and the second elastic parameter is any one of the elastic parameters. It can be understood that when the confidence value of a certain elastic parameter is low, the second elastic parameter and the corresponding second ultrasound image can be deleted, thereby improving the accuracy of subsequent elastic results.

2904. Determine the elastic result of the target organization according to the first confidence set and/or the second confidence set;

After the first confidence set and the second confidence set are obtained, the elastic result of the target organization may be determined according to the first confidence set and/or the second confidence set.

Specifically, a weighted operation may be performed in combination with the first confidence value of each ultrasound image included in the first confidence set and the corresponding elasticity parameter to obtain the elasticity result of the target tissue. It is also possible to perform a weighting operation in combination with the second confidence value of each elastic parameter included in the second confidence set and the corresponding elastic parameter to obtain the elastic result of the target tissue. It is also possible to perform a weighting operation in combination with the first confidence value of each ultrasound image included in the first confidence set, the second confidence value of each elastic parameter included in the second confidence set, and the corresponding elastic parameter to obtain The resilience result of the target organization. Of course, it is also possible to directly average the elastic parameters or perform weighting presets according to preset weighting values to obtain the elastic results of the target tissue. In the embodiments of the present application, in order to improve the accuracy of the elasticity result, the confidence level of the ultrasound image measured multiple times is combined with the confidence level of the elasticity parameter to determine the elasticity result of the target tissue, and more accurate elasticity measurement results can be obtained.

Exemplarily, the ultrasound image and the corresponding elastic parameter can be obtained according to N times of independent measurement. For the specific independent measurement process, please refer to the relevant description in the foregoing steps 501-505. Among them, the elastic parameter can be expressed as En=(n=1, 2, 3...N). The first confidence set of ultrasound images is An=(n=1, 2, 3...N), and the second confidence set of elastic parameters is Bn=(n=1, 2, 3...N), The elastic result is

2905. Output elastic results.

Wherein, after determining the elastic result of the target tissue according to the first confidence set and/or the second confidence set, the elastic result may be output.

Specifically, the elasticity result can be represented by text, picture, audio, color, etc., so that the user can intuitively learn the elasticity result of the target organization.

Optionally, one of the ultrasound images can be displayed, and an elastic image corresponding to the ultrasound image can also be displayed. Exemplarily, as shown in FIG. 31, one of the ultrasound images and the elasticity image can be displayed, and the elasticity parameters 3101 and the elasticity results 3102 obtained by N measurements can also be displayed at the same time, so that the user can check the elastic parameters obtained by the N measurements. And the final elasticity result is visually observed.

When only one elastic parameter measurement is performed, the accuracy of the elastic parameter measured once may be reduced due to errors. In the embodiment of the present application, the confidence level of the ultrasound image obtained by multiple measurements and the elasticity obtained by multiple measurements may be combined. Calculate the parameters and their confidence to get the final elastic result. Avoid errors caused by only one measurement, and improve the accuracy of the elastic results obtained. In addition, inaccurately measured ultrasound images and their elastic parameters can be deleted, further improving the accuracy of the elastic results.

In the several embodiments provided in this application, it should be understood that the disclosed system, device, and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application essentially or the part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , Including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disks or optical disks and other media that can store program codes. .

It should be noted that, in practical applications, the target tissue can be a human body, an animal, or the like. The target tissue may be the face, liver, spine, heart, uterus, or pelvic floor, etc., or other parts of human tissue, such as brain, bone, liver, or kidney, etc., which are not specifically limited in this application.

The above are only specific implementations of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application. Should be covered within the scope of protection of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

An ultrasound imaging method, characterized in that it comprises:

Transmitting a first ultrasonic wave to the target tissue, and receiving a first ultrasonic echo based on the first ultrasonic wave, to obtain a first ultrasonic echo signal;

Acquiring an ultrasound image of the target tissue according to the first ultrasound echo signal;

If the ultrasound image meets the preset image standard, generate and output first prompt information, and perform elastography on the target tissue, where the first prompt information is used to indicate that there is no interfering tissue in the ultrasound image The feature or the interfering tissue feature in the ultrasound image and the shortest distance between the interfering tissue feature in the ultrasound image and the region of interest in the ultrasound image is greater than a preset threshold.
The method according to claim 1, wherein the method further comprises:

If the ultrasound image does not meet the preset image standard, second prompt information is generated and output, where the second prompt information is used to indicate that there are interfering tissue features in the ultrasound image, and the ultrasound image is The shortest distance between the interfering tissue feature and the region of interest in the ultrasound image is not greater than the preset threshold.
The method according to claim 1 or 2, characterized in that, after the acquiring an ultrasound image of the target tissue according to the first ultrasound echo signal, the method further comprises:

Determining the region of interest in the ultrasound image, and generating a region of interest prompt box according to the position of the region of interest in the ultrasound image;

The prompt box of the region of interest is superimposed and displayed on the ultrasound image.
The method according to claim 3, wherein the first prompt information includes the region of interest prompt box, and the outputting the first prompt information includes:

The region of interest prompt box is superimposed and displayed on the ultrasound image with a determined color, wherein the region of interest prompt box of different colors is used to indicate the degree to which the ultrasound image meets the preset image standard.
The method according to any one of claims 1 to 4, wherein the first prompt information includes an interference tissue feature prompt box, and the outputting the first prompt information includes:

Determining the position of the interfering tissue feature on the ultrasound image;

The interfering tissue prompt box is superimposed and displayed on the determined position of the interfering tissue feature.
The method according to any one of claims 1 to 5, characterized in that, before performing elastography on the target tissue, the method further comprises:

Receiving an elastography instruction for the target tissue;

Perform elastography on the target tissue in response to the elastography instruction.
The method according to any one of claims 1 to 6, wherein the performing elastography on the target tissue comprises:

Controlling the target tissue to generate a shear wave, transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

The elastic parameter of the target tissue is determined according to the second ultrasonic echo signal.
The method according to claim 4, wherein the determining the elastic parameter of the target tissue according to the second ultrasonic echo signal comprises:

The elastic parameter of the region of interest is determined according to the second ultrasonic echo signal.
The method according to claim 8, wherein the determining the elastic parameter of the target tissue according to the second ultrasonic echo signal comprises:

Acquiring the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal;

Extracting characteristic information in the propagation path;

The elasticity parameter of the target tissue is determined according to the characteristic information in the propagation path.
The method according to claim 9, wherein the method further comprises:

If the propagation path of the shear wave is blocked, third prompt information is generated and output, where the third prompt information is used to instruct to perform ultrasound imaging of the target tissue again, or to adjust the region of interest Size and/or location.
The method according to claim 10, wherein said generating third prompt information comprises:

Determine the location information of the interfering tissue features that block the path of the shear wave;

Generate third prompt information according to the location information of the interfering tissue feature.
The method according to claim 9, wherein the method further comprises:

If there is a turning point in the propagation path of the shear wave, fourth prompt information is generated and output, where the fourth prompt information is used to instruct to adjust the size and/or position of the region of interest.
The method according to claim 9, wherein the method further comprises:

If the propagation path of the shear wave is continuous, generate and output fifth prompt information, where the fifth prompt information is used to indicate that the size and/or position of the region of interest does not need to be adjusted.
The method according to claim 4, wherein the determining the elastic parameter of the target tissue according to the second ultrasonic echo signal comprises:

Obtain the pressure generated by the probe on the target tissue, and if the pressure is within a preset range, determine the elastic parameter of the target tissue according to the second ultrasonic echo signal.
The method according to any one of claims 1 to 14, wherein the method further comprises:

Acquiring at least one historical ultrasound image and corresponding historical elasticity parameters of the target tissue;

The historical ultrasound image and the historical elastic parameter are displayed.
The method according to claim 15, wherein the method further comprises:

Determining the degree of matching between the ultrasound image and the historical ultrasound image;

The sixth prompt information is generated and output according to the matching degree.
The method according to any one of claims 1 to 16, wherein the first ultrasonic echo signal comprises an A-type ultrasonic echo signal or an M-type ultrasonic echo signal, and the method further comprises:

If the A-type ultrasonic echo signal or the M-type ultrasonic echo signal is uniformly attenuated from near to far signal from the probe, it is determined that the ultrasonic image meets the preset image standard;

If the A-type ultrasonic echo signal or the M-type ultrasonic echo signal is attenuated non-uniformly from near to far from the probe, it is determined that the ultrasonic image does not meet the preset image standard.
The method according to any one of claims 1 to 17, wherein the first ultrasonic echo signal comprises an A-type ultrasonic echo signal or an M-type ultrasonic echo signal, and the method further comprises:

Dividing the A-type ultrasonic echo signal or the M-type ultrasonic echo signal into multiple ultrasonic echo signals of equal length, and detecting the slope of each ultrasonic echo signal separately;

If the deviation between the slopes of each ultrasound echo signal is less than the threshold, it is determined that the ultrasound image meets the preset image standard;

If the deviation between the slopes of each ultrasound echo signal is not greater than the threshold, it is determined that the ultrasound image does not meet the preset image standard.
An ultrasound imaging method, characterized in that it comprises:

Transmitting a first ultrasonic wave to the target tissue, and receiving a first ultrasonic echo based on the first ultrasonic wave, to obtain a first ultrasonic echo signal;

Acquiring an ultrasound image of the target tissue according to the first ultrasound echo signal;

If the ultrasound image does not meet the preset image standard, second prompt information is generated and output, where the second prompt information is used to indicate that there are interfering tissue features in the ultrasound image, and the ultrasound image The shortest distance between the interfering tissue feature and the region of interest in the ultrasound image is not greater than a preset threshold.
An ultrasound imaging method, characterized in that it comprises:

Transmitting a first ultrasonic wave to the target tissue, and receiving a first ultrasonic echo based on the first ultrasonic wave, to obtain a first ultrasonic echo signal;

Acquiring an ultrasound image of the target tissue according to the first ultrasound echo signal;

If the ultrasound image meets a preset image standard, perform elastography on the target tissue.
An ultrasound imaging method, characterized in that it comprises:

Controlling the target tissue to generate a shear wave, transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

Acquiring the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extracting characteristic information in the propagation path;

The seventh prompt information is generated and output according to the characteristic information in the propagation path, where the seventh prompt information is used to instruct to adjust the size and/or position of the region of interest in the ultrasound image, or it is not necessary to adjust the feeling. The size and/or location of the region of interest, or re-imaging the target tissue.
The method according to claim 21, wherein the seventh prompt information includes third prompt information, and the method further comprises:

If the propagation path of the shear wave is blocked, the third prompt information is generated and output, where the third prompt information is used to instruct to perform ultrasound imaging of the target tissue again, or to adjust the feeling The size and/or location of the area of interest.
The method according to claim 22, wherein said generating third prompt information comprises:

Determine the location information of the interfering tissue features that block the path of the shear wave;

Generate third prompt information according to the location information of the interfering tissue feature.
The method according to claim 21, wherein the method further comprises:

If there is a turning point in the propagation path of the shear wave, it is determined to generate and output fourth prompt information, where the fourth prompt information is used to instruct to adjust the size and/or position of the region of interest.
The method according to claim 21, wherein the method further comprises:

If the propagation path of the shear wave is continuous, generate and output fifth prompt information, where the fifth prompt information is used to indicate that the size and/or position of the region of interest does not need to be adjusted.
An ultrasound imaging method, characterized in that it comprises:

Controlling the target tissue to generate a shear wave, transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

Acquiring the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extracting characteristic information in the propagation path;

If the characteristic information in the propagation path does not meet the preset condition, adjust the size and/or position of the region of interest in the ultrasound image, or perform ultrasound imaging on the target tissue again.
An ultrasound imaging method, characterized in that it comprises:

Controlling the target tissue to generate a shear wave, transmitting a second ultrasonic wave into the target tissue, and receiving a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

Acquiring the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extracting characteristic information in the propagation path;

The eighth prompt information is generated and output according to the characteristic information in the propagation path, where the eighth prompt information is used to indicate that the propagation path is blocked or turned or continuous.
An ultrasound imaging method, characterized in that it comprises:

Obtain historical ultrasound images of the target organization;

Transmitting a first ultrasonic wave to the target tissue, and receiving a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

According to the first ultrasound echo signal and the historical ultrasound image, an ultrasound image of the target tissue is determined, and an elastography is performed on the target tissue.
The method according to claim 28, wherein the determining the ultrasound image of the target tissue according to the first ultrasound echo signal and the historical ultrasound image comprises:

An ultrasound image whose matching degree with the historical ultrasound image satisfies a preset condition is determined from the first ultrasound echo signal.
The method according to claim 29, wherein the method further comprises:

Acquiring historical elastic parameters corresponding to the historical ultrasound images;

Acquiring elastic parameters corresponding to the ultrasound image;

Determining the historical elastic parameter and the analysis result of the elastic parameter;

Display the historical elastic parameters, the elastic parameters, and the analysis results.
An ultrasound imaging method, characterized in that it comprises:

Acquiring an ultrasound image of the target tissue and elastic parameters corresponding to the ultrasound image;

Determining a first confidence level set of the ultrasound image, where the first confidence level set includes the value of the first confidence level of the ultrasound image;

Determining a second confidence level set of the elastic parameter, where the second confidence set includes the value of the second confidence level of the elastic parameter;

Determine the elasticity result of the target tissue according to the first set of confidence levels and/or the second set of confidence levels.
The method according to claim 31, wherein the method further comprises:

Output the elastic result.
The method according to claim 31 or 32, wherein the determining the first confidence level set of the ultrasound image comprises:

The ultrasound image is determined by at least one of the similarity between the ultrasound image and the preset image standard, the information of the interference tissue feature in the ultrasound image, and the position of the interference tissue feature in the ultrasound image The value of the first confidence degree of, obtains the first confidence degree set.
The method according to any one of claims 31 to 33, wherein the method further comprises:

If the value of the first confidence level of the first ultrasound image is lower than the first preset value, the first ultrasound image and the corresponding first elastic parameter are deleted, and the first confidence level in the first confidence set is deleted. The first confidence level corresponding to the ultrasound image, where the first ultrasound image is any one of the ultrasound images.
The method according to any one of claims 31 to 34, wherein the determining the second confidence set of the elastic parameter comprises:

According to at least one of the amplitude attenuation of the shear wave corresponding to the elastic parameter, the propagation path information, and the intermediate observation value, the second confidence value of the elastic parameter is determined to obtain the second confidence set.
The method according to any one of claims 31 to 35, wherein the method further comprises:

If the value of the second confidence of the second elastic parameter is lower than the second preset value, delete the second elastic parameter and the corresponding second ultrasound image, and delete the second in the second confidence set A second confidence level corresponding to the elastic parameter, where the second elastic parameter is any one of the elastic parameters.
The method according to any one of claims 31 to 36, wherein the method further comprises:

Acquiring an elastic image corresponding to the elastic parameter, where the elastic image is used to identify the propagation path of the shear wave in the target tissue;

Determine the propagation path information of the shear wave according to the elastic image.
The method according to any one of claims 31 to 37, wherein the determining the elasticity result of the target tissue according to the first set of confidence levels and the second set of confidence levels comprises:

Determine the elastic result of the target tissue according to the first set of confidence levels, the second set of confidence levels, and a preset formula, where the preset formula is:
E is the result of the target tissue elasticity, A n is the confidence of the first, the second B n is the confidence level, the n-E is one of the elastic parameters, N Is the total number of detections, and N is a positive integer.
An ultrasound imaging system, which is characterized by comprising: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The transmitting/receiving sequence circuit is used to excite the probe to generate a first ultrasonic wave;

The probe is used to transmit the first ultrasonic wave to the target tissue and receive the first ultrasonic echo returned from the target tissue to obtain the first ultrasonic echo signal;

The processor is configured to obtain an ultrasound image of the target tissue according to the first ultrasound echo signal;

The processor is further configured to generate first prompt information if the ultrasound image meets a preset image standard;

The output device is configured to output the first prompt information, where the first prompt information is used to indicate that there are no interfering tissue features in the ultrasound image or that there are interfering tissue features in the ultrasound image, and the The shortest distance between the region where the interfering tissue feature is located in the ultrasound image and the region of interest in the ultrasound image is greater than a preset threshold;

The processor is also used to perform elastography on the target tissue.
The ultrasound imaging system according to claim 39, wherein the processor is further configured to generate second prompt information if the ultrasound image does not meet the preset image standard;

The output device is further configured to output the second prompt information, wherein the second prompt information is used to indicate that there is an interference tissue feature in the ultrasound image, and the area where the interference tissue feature is located in the ultrasound image The shortest distance between the regions of interest in the ultrasound image is not greater than the preset threshold.
The ultrasound imaging system according to claim 39 or 40, wherein:

The processor is further configured to determine the region of interest in the ultrasound image after acquiring the ultrasound image of the target tissue according to the first ultrasound echo signal, and according to the region of interest Generating a region-of-interest prompt box at a location in the ultrasound image;

The output device is also used to superimpose and display the region of interest prompt box on the ultrasound image.
The ultrasound imaging system according to claim 41, wherein the first prompt information includes the prompt frame of the region of interest,

The output device is specifically configured to superimpose and display the region of interest prompt box on the ultrasound image with a determined color or display the region of interest prompt box with the ultrasound image in regions with a determined color, Wherein, the ROI prompt boxes of different colors are used to indicate the degree to which the ultrasound image meets the preset image standard.
The ultrasound imaging system according to any one of claims 39 to 42, wherein the first prompt information further includes an interference tissue feature prompt box,

The processor is further configured to determine the position of the interfering tissue feature on the ultrasound image;

The output device is specifically configured to superimpose and display the interfering tissue prompt box on the determined position of the interfering tissue feature.
The ultrasound imaging system according to any one of claims 39-43, wherein:

The processor is further configured to receive an elastography instruction for the target tissue before performing elastography on the target tissue based on the first prompt information; and perform an elastography instruction on the target tissue in response to the elastography instruction Perform elastography.
The ultrasound imaging system according to any one of claims 39 to 44, wherein:

The probe is also used to control the target tissue to generate shear waves, transmit a second ultrasonic wave into the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

The processor is further configured to determine the elastic parameter of the target tissue according to the second ultrasonic echo signal.
The ultrasound imaging system of claim 45, wherein:

The processor is specifically configured to determine the elastic parameter of the region of interest according to the second ultrasonic echo signal.
The ultrasound imaging system of claim 46, wherein:

The processor is specifically configured to obtain the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal; extract characteristic information in the propagation path; and according to the propagation path in the propagation path The characteristic information determines the elasticity parameter of the target tissue.
The ultrasound imaging system of claim 47, wherein:

The processor is further configured to generate and output third prompt information if the propagation path of the shear wave is blocked, wherein the third prompt information is used to instruct to perform ultrasound imaging on the target tissue again , Or adjust the size and/or position of the region of interest.
The ultrasound imaging system of claim 48, wherein:

The processor is further configured to determine the location information of the interfering tissue feature that blocks the shear wave path; generate third prompt information according to the location information of the interfering tissue feature;

The output device is further configured to output the third prompt information, where the third prompt information is used to instruct to perform ultrasound imaging of the target tissue again, or to adjust the size and/or position of the region of interest .
The ultrasound imaging system of claim 47, wherein:

The processor is further configured to generate fourth prompt information if there is a turning point in the propagation path of the shear wave;

The output device is further configured to output the fourth prompt information, where the fourth prompt information is used to instruct to adjust the size and/or position of the region of interest.
The ultrasound imaging system of claim 47, wherein:

The processor is further configured to generate fifth prompt information if the propagation path of the shear wave is continuous;

The output device is further configured to output the fifth prompt information, where the fifth prompt information is used to indicate that the size and/or position of the region of interest does not need to be adjusted.
The ultrasound imaging system of claim 45, wherein:

The processor is further configured to obtain the pressure generated by the probe on the target tissue, and if the pressure is within a preset range, determine the elastic parameter of the target tissue according to the second ultrasonic echo signal.
The ultrasound imaging system according to any one of claims 39 to 52, wherein:

The processor is further configured to obtain at least one historical ultrasound image and the corresponding historical elasticity parameter of the target tissue;

The output device is also used to output the historical ultrasound image and the historical elasticity parameter.
The ultrasound imaging system of claim 53, wherein the ultrasound imaging system further comprises:

The processor is further configured to determine the degree of matching between the ultrasound image and the historical ultrasound image;

The output device is further configured to generate sixth prompt information according to the matching degree, and output the sixth prompt information.
The ultrasonic imaging system according to any one of claims 39 to 54, wherein the first ultrasonic echo signal comprises an A-type ultrasonic echo signal or an M-type ultrasonic echo signal,

The processor is further configured to determine that the ultrasound image meets a preset image standard if the A-type ultrasonic echo signal or the M-type ultrasonic echo signal is uniformly attenuated from near to far signal changes from the probe;

The processor is further configured to determine that the ultrasonic image does not meet the preset image standard if the A-type ultrasonic echo signal or the M-type ultrasonic echo signal changes from near to far away from the probe to be non-uniform attenuation. .
The ultrasonic imaging system according to claim 55, wherein the first ultrasonic echo signal comprises an A-type ultrasonic echo signal or an M-type ultrasonic echo signal, and the processor is further used for:

Dividing the A-type ultrasonic echo signal or the M-type ultrasonic echo signal into multiple ultrasonic echo signals of equal length, and detecting the slope of each ultrasonic echo signal separately;

If the deviation between the slopes of each ultrasound echo signal is less than the threshold, it is determined that the ultrasound image meets the preset image standard;

If the deviation between the slopes of each ultrasound echo signal is not greater than the threshold, it is determined that the ultrasound image does not meet the preset image standard.
An ultrasound imaging system, which is characterized by comprising: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The transmitting/receiving sequence circuit is used to excite the probe to generate a first ultrasonic wave;

The probe is used to transmit a first ultrasonic wave to a target tissue and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

The processor is configured to obtain an ultrasound image of the target tissue according to the first ultrasound echo signal;

The processor is further configured to generate second prompt information if the ultrasound image does not meet the preset image standard, where the second prompt information is used to indicate that there are interfering tissue features in the ultrasound image, And the shortest distance between the interfering tissue feature in the ultrasound image and the region of interest in the ultrasound image is not greater than a preset threshold;

The output device is used to output the second prompt information.
An ultrasound imaging system, characterized by comprising: a probe, a transmitting/receiving sequence circuit, and a processor;

The transmitting/receiving sequence circuit is used to excite the probe to generate a first ultrasonic wave;

The probe is used to transmit a first ultrasonic wave to a target tissue and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

The processor is configured to obtain an ultrasound image of the target tissue according to the first ultrasound echo signal;

The processor is further configured to perform elastography on the target tissue if the ultrasound image meets a preset image standard.
An ultrasound imaging system, characterized by comprising: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The transmitting/receiving sequence circuit is used to excite the probe to generate ultrasonic waves;

The probe is used to control the target tissue to generate shear waves, transmit a second ultrasonic wave into the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

The processor is further configured to obtain the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path;

The processor is further configured to generate seventh prompt information according to the characteristic information in the propagation path;

The output device is configured to output the seventh prompt information, where the seventh prompt information is used to instruct to adjust the size and/or position of the region of interest, or there is no need to adjust the size of the region of interest And/or location, or re-imaging the target tissue.
The ultrasound imaging system of claim 59, wherein the seventh prompt information comprises third prompt information,

The processor is specifically configured to generate the third prompt information if the propagation path of the shear wave is blocked, wherein the third prompt information is used to instruct to perform ultrasound imaging on the target tissue again , Or adjust the size and/or position of the region of interest;

The output device is specifically configured to output the third prompt information.
The ultrasound imaging system according to claim 60, wherein the processor is specifically configured to:

Determine the location information of the interfering tissue features that block the path of the shear wave;

Generate third prompt information according to the location information of the interfering tissue feature.
The ultrasound imaging system of claim 59, wherein the seventh prompt information comprises fourth prompt information,

The processor is specifically configured to generate the fourth prompt information if there is a turn in the propagation path of the shear wave, where the fourth prompt information is used to instruct to adjust the size of the region of interest and/ Or location

The output device is specifically configured to output the fourth prompt information.
The ultrasound imaging system of claim 59, wherein the seventh prompt information comprises fifth prompt information,

The processor is specifically configured to generate fifth prompt information if the propagation path of the shear wave is continuous, where the fifth prompt information is used to indicate that the size of the region of interest does not need to be adjusted and/or position;

The output device is specifically configured to output the fifth prompt information.
An ultrasound imaging system, characterized by comprising: a probe, a transmitting/receiving sequence circuit, and a processor;

The transmitting/receiving sequence circuit is used to excite the probe to generate ultrasonic waves;

The probe is used to control the target tissue to generate shear waves, transmit a second ultrasonic wave into the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

The processor is further configured to obtain the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path;

The processor is further configured to adjust the size and/or position of the region of interest if the characteristic information in the propagation path does not meet a preset condition, or perform ultrasound imaging on the target tissue again.
An ultrasound imaging system, which is characterized by comprising: a probe, a transmitting/receiving sequence circuit, a processor, and an output device;

The transmitting/receiving sequence circuit is used to excite the probe to generate ultrasonic waves;

The probe is used to control the target tissue to generate shear waves, transmit a second ultrasonic wave into the target tissue, and receive a second ultrasonic echo based on the second ultrasonic wave to obtain a second ultrasonic echo signal;

The processor is further configured to obtain the propagation path of the shear wave in the target tissue according to the second ultrasonic echo signal, and extract characteristic information in the propagation path;

The processor is further configured to generate eighth prompt information according to the characteristic information in the propagation path;

The output device is configured to output the eighth prompt information, where the eighth prompt information is used to indicate that the propagation path is blocked or turned or continuous.
An ultrasound imaging system, characterized by comprising: a probe, a transmitting/receiving sequence circuit, and a processor;

The processor is used to obtain historical ultrasound images of the target tissue;

The transmitting/receiving sequence circuit is used to excite the probe to generate a first ultrasonic wave;

The probe is configured to transmit the first ultrasonic wave to a target tissue, and receive a first ultrasonic echo based on the first ultrasonic wave to obtain a first ultrasonic echo signal;

The processor is further configured to determine an ultrasound image of the target tissue and perform elastography on the target tissue according to the first ultrasound echo signal and the historical ultrasound image.
The ultrasound imaging system of claim 66, wherein:

The processor is specifically configured to determine, from the first ultrasound echo signal, an ultrasound image whose matching degree with the historical ultrasound image satisfies a preset condition.
The ultrasound imaging system of claim 67, wherein the ultrasound imaging system further comprises: an output device;

The processor is further configured to obtain the historical elastic parameter corresponding to the historical ultrasound image; obtain the elastic parameter corresponding to the ultrasound image; determine the historical elastic parameter and the analysis result of the elastic parameter;

The output device is configured to output the historical elasticity parameter, the elasticity parameter, and the analysis result.
An ultrasound imaging system, characterized by comprising: a processor;

The processor is configured to obtain an ultrasound image of a target tissue and elastic parameters corresponding to the ultrasound image;

The processor is further configured to determine a first confidence level set of the ultrasound image, and the first confidence level set includes the value of the first confidence level of the ultrasound image;

The processor is further configured to determine a second confidence level set of the elasticity parameter, where the second confidence level set includes the second confidence level value of the elasticity parameter;

The processor is further configured to determine the elasticity result of the target tissue according to the first set of confidence levels and/or the second set of confidence levels.
The ultrasound imaging system of claim 69, wherein the ultrasound imaging system further comprises: an output device;

The output device is used to output the elastic result.
The ultrasound imaging system according to claim 69 or 70, wherein:

The processor is specifically configured to pass at least one of the similarity between the ultrasound image and the preset image standard, the information of the interference tissue feature in the ultrasound image, or the position of the interference tissue feature in the ultrasound image. One content is to determine the value of the first confidence level of the ultrasound image to obtain the first confidence level set.
The ultrasound imaging system according to any one of claims 69 to 71, wherein:

The processor is further configured to delete the first ultrasound image and the corresponding first elastic parameter if the value of the first confidence level of the first ultrasound image is lower than the first preset value, and delete the first ultrasound image. A first confidence level corresponding to the first ultrasound image in the confidence level set, where the first ultrasound image is any one of the ultrasound images.
The ultrasound imaging system according to any one of claims 69 to 72, wherein:

The processor is specifically configured to determine the second confidence value of the elastic parameter according to at least one of the amplitude attenuation of the shear wave corresponding to the elastic parameter, the propagation path information, and the intermediate observation value, to obtain the State the second confidence set.
The ultrasound imaging system according to any one of claims 69 to 73, wherein:

The processor is further configured to delete the second elastic parameter and the corresponding second ultrasound image, and delete the second elastic parameter if the second confidence value of the second elastic parameter is lower than the second preset value. A second confidence level corresponding to the second elastic parameter in the confidence set, where the second elastic parameter is any one of the elastic parameters.
The ultrasound imaging system according to any one of claims 69 to 74, wherein:

The processor is further configured to obtain an elastic image corresponding to the elastic parameter, where the elastic image is used to identify the propagation path of the shear wave in the target tissue; and the shear wave is determined according to the elastic image Information about the propagation path.
The ultrasound imaging system according to any one of claims 69 to 75, wherein:

The processor is specifically configured to determine the elasticity result of the target tissue according to the first set of confidence levels, the second set of confidence levels, and a preset formula, where the preset formula is:
E is the result of the target tissue elasticity, A n is the confidence of the first, the second B n is the confidence level, the n-E is one of the elastic parameters, N Is the total number of detections, and N is a positive integer.