Ultrasonic image acquisition method, imaging equipment and computer readable storage medium

Abstract

The invention provides an ultrasonic image acquisition method, imaging equipment, electronic equipment and a computer readable storage medium. The acquisition method comprises the following steps: acquiring an ultrasonic image of a target object; generating an imaging depth optimization instruction for performing imaging depth optimization on the ultrasonic image in response to one triggering operation; and optimizing the imaging depth of the ultrasound image in response to the imaging depth optimization instruction. Through the mode, the working efficiency of acquiring the ultrasonic image meeting the detection standard by a user can be effectively improved, and the complexity of imaging equipment is effectively reduced.

Description

Technical Field

[0001] The present application relates to the technical field of ultrasonic image acquisition, and in particular to an ultrasonic image acquisition method, an imaging device, an electronic device, and a computer-readable storage medium. Background Art

[0002] In medical ultrasound imaging, imaging depth refers to the maximum depth of the measured medium that the ultrasound instrument can display. Since the screen size of the ultrasound instrument is limited, the size of the imaging area is limited. When the imaging depth is small, the displayed area is small, making the structure presented on the screen relatively larger and easier for doctors to observe. However, because some examinations scan deeper parts that cannot be observed at shallower depths, it is necessary to increase the depth so that the image of the deeper part can be observed. However, if the adjusted depth is relatively large, the displayed structure will become smaller, and if the deeper structure is not important to the user, the display area will be wasted, so depth adjustment is very important for ultrasound instruments. Generally, ultrasound instruments are equipped with knobs or buttons for users to adjust the imaging depth.

[0003] Because different body parts are located at different depths, a preset depth cannot meet the detection requirements. Most ultrasound instruments will set different inspection items according to the distribution of body parts, and set preset depths under different inspection items according to clinical data. There are some problems with this method. On the one hand, due to different individual body shapes, the corresponding depth settings are also different. The preset parameters cannot meet the needs, and doctors still need to frequently adjust the depth parameters when taking pictures. On the other hand, when performing ultrasound examinations, doctors need to use probes to scan and observe images. Adjusting parameters will greatly increase the doctor's workload. Summary of the invention

[0004] The present application provides an ultrasonic image acquisition method, an imaging device, an electronic device, and a computer-readable storage medium, which are used to improve the work efficiency of users in acquiring ultrasonic images that meet detection standards.

[0005] In order to solve the above technical problems, the technical solution adopted in the present application is: to provide a method for acquiring an ultrasonic image, comprising: acquiring an ultrasonic image of a target object; generating an imaging depth optimization instruction for optimizing the imaging depth of the ultrasonic image in response to a trigger operation; and optimizing the imaging depth of the ultrasonic image in response to the imaging depth optimization instruction.

[0006] Among them, optimizing the imaging depth of the ultrasound image in response to the imaging depth optimization instruction includes: obtaining the part and section classification results of the ultrasound image; obtaining the corresponding first depth optimization parameters based on the part and section classification results; and optimizing the imaging depth based on the first depth optimization parameters.

[0007] The optimizing the imaging depth based on the first depth optimization parameter includes: optimizing the imaging depth based on the first depth optimization parameter when the current depth optimization parameter is not equal to the first depth optimization parameter.

[0008] Among them, optimizing the imaging depth based on the first depth optimization parameter includes: when the current depth optimization parameter is equal to the first depth optimization parameter, calculating the effective signal area ratio of the ultrasound image; calculating the second depth optimization parameter based on the effective signal area ratio; optimizing the imaging depth based on the second depth optimization parameter.

[0009] The calculation of the effective signal area ratio of the ultrasound image includes: denoising the ultrasound image and drawing a signal-noise curve of the ultrasound image; and calculating the effective signal area ratio based on the signal-noise curve.

[0010] The method also includes: displaying the optimized ultrasound image and the imaging depth parameters of the ultrasound image.

[0011] Among them, one trigger operation includes: one voice trigger operation or one key trigger operation.

[0012] In order to solve the above technical problems, the technical solution adopted in the present application is: to provide an imaging device, including: an acquisition module, used to acquire an ultrasonic image of a target object; a generation module, used to generate an imaging depth optimization instruction for optimizing the imaging depth of the ultrasonic image in response to a trigger operation; a processing module, connected to the acquisition module and the generation module, used to optimize the imaging depth of the ultrasonic image in response to the imaging depth optimization instruction so that the imaging depth meets the detection standard.

[0013] In order to solve the above technical problems, the technical solution adopted in this application is: to provide an electronic device, including a processor and a memory connected to the processor, the memory stores program instructions, and the processor executes the program instructions to implement the acquisition method of any of the above embodiments.

[0014] In order to solve the above technical problems, the technical solution adopted in the present application is: to provide a computer-readable storage medium storing program instructions, which can implement the acquisition method of any of the above embodiments when executed by a processor.

[0015] The beneficial effect of the embodiment of the present application is that the present application proposes a method for acquiring an ultrasonic image, wherein the acquisition method includes: acquiring an ultrasonic image of a target object; generating an imaging depth optimization instruction for optimizing the imaging depth of the ultrasonic image in response to a trigger operation; optimizing the imaging depth of the ultrasonic image in response to the imaging depth optimization instruction. In the above manner, when the content displayed by the currently acquired ultrasonic image does not meet the detection requirements required by the detection part, the user can trigger the imaging device to generate an imaging depth optimization instruction through a trigger operation. After the imaging device generates the imaging depth optimization instruction, it triggers the function of optimizing the imaging depth of the ultrasonic image in response to the imaging depth optimization instruction until the imaging depth of the ultrasonic image meets the detection standard of the detection part. Based on this, when the user needs to optimize the imaging depth of the ultrasonic image, only one trigger operation is required to control the imaging device to automatically optimize the imaging depth of the ultrasonic image. When facing the detected persons of different body shapes, there is no need to manually switch the inspection items and adjust the imaging depth parameters according to different detection parts frequently, thereby effectively reducing the operation complexity of the imaging device, and then effectively improving the detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of a specific process of an embodiment of a method for acquiring an ultrasonic image of the present application;

[0017] Figure 2 yes Figure 1 A schematic diagram of a specific flow chart of an embodiment of step S300 in the embodiment;

[0018] Figure 3 yes Figure 1 A schematic diagram of a specific flow chart of an embodiment of step S330 in the embodiment;

[0019] Figure 4 It is a specific flow chart of another embodiment of the method for acquiring ultrasound images of the present application;

[0020] Figure 5 It is a structural schematic diagram of an embodiment of an imaging device of the present application;

[0021] Figure 6 It is a structural diagram of an embodiment of a computer-readable storage medium of the present application. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0023] The terms "first" and "second" in this application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically limited. In addition, the terms "including" and "having" and any of their variations are intended to cover exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0024] The present application provides a method for acquiring an ultrasound image, wherein the acquisition method of the present application is mainly applied to the field of medical devices, and of course can also be applied to other technical fields. In particular, this article mainly describes the acquisition method of the present application in detail by focusing on the specific application of the acquisition method of the present application in medical devices. Figure 1 As shown, Figure 1 The following is a specific flow chart of an embodiment of the ultrasonic image acquisition method of the present application, wherein the acquisition method specifically includes the following method steps, wherein the execution subject of the acquisition method in this embodiment includes an imaging device. In this embodiment, the imaging device is an ultrasonic instrument.

[0025] Step S100: Acquire an ultrasound image of a target object.

[0026] The imaging device acquires the ultrasonic echo of the detection part (target object) that the user needs to detect, and generates an ultrasonic image based on the ultrasonic echo, that is, acquires the ultrasonic image of the target object. For example, the user controls the acquisition module of the imaging device to transmit ultrasonic waves to the target area, and the imaging device receives the ultrasonic echo returned from the target area, and performs front-end processing on the ultrasonic echo, wherein the front-end processing specifically includes time gain compensation, analog-to-digital conversion, beam synthesis, demodulation, filtering, envelope extraction, logarithmic compression, etc., to form the original image. Furthermore, the imaging device performs post-processing such as gain control, dynamic range compression, and coordinate transformation on the original image to form the final image data, namely the ultrasonic image.

[0027] Step S200: generating an imaging depth optimization instruction for optimizing the imaging depth of an ultrasound image in response to a trigger operation.

[0028] Each detection part has a corresponding inspection item. In this embodiment, the detection part refers to the body tissue or organ of the patient to be inspected, that is, the target object. Because the depth of each patient's body part is different, a preset imaging depth cannot meet the requirements. Most ultrasound instruments will set different inspection items according to the distribution of body parts, and set preset depths under different inspection items according to clinical data.

[0029] Among them, in this step, after the ultrasonic image is acquired through the above steps, if the current ultrasonic image does not meet the detection standard of the detection part, an imaging depth optimization instruction can be generated in response to a trigger operation such as a voice trigger operation or a key trigger operation. For example, a trigger button and a voice recognition system are provided on the imaging device. When the imaging depth of the ultrasonic image does not meet the detection standard, the user can perform a one-key operation on the imaging device through the trigger button of the imaging device to enable the imaging device to generate an imaging depth optimization instruction, or the user can directly shout "imaging depth optimization", and the imaging device generates an imaging depth optimization instruction in response to a voice trigger operation "imaging depth optimization". Alternatively, an automatic recognition function is provided in the imaging device, through which the imaging device automatically generates an imaging depth optimization instruction after determining that the imaging depth of the ultrasonic image does not meet the detection standard of the detection part. Among them, in this embodiment, the imaging depth optimization instruction is a trigger signal.

[0030] Step S300: Optimizing the imaging depth of the ultrasound image in response to the imaging depth optimization instruction.

[0031] After the imaging device obtains the imaging depth optimization instruction through the above step S200, it will automatically optimize the imaging depth of the ultrasound image. Different from the prior art, when the content displayed by the currently acquired ultrasound image does not meet the detection requirements of the detection part, the user can trigger the imaging device to generate the imaging depth optimization instruction through a single trigger operation. After the imaging device generates the imaging depth optimization instruction, it responds to the imaging depth optimization instruction and triggers the function of optimizing the imaging depth of the ultrasound image until the imaging depth of the ultrasound image meets the detection standard of the detection part. Based on this, when the user needs to optimize the imaging depth of the ultrasound image, only one trigger operation is required to control the imaging device to automatically optimize the imaging depth of the ultrasound image, and until the imaging depth of the ultrasound image is optimized to meet the detection standard of the detection part. When facing the detected persons of different body shapes, there is no need to manually switch the inspection items and adjust the imaging depth parameters according to different detection parts frequently, thereby effectively reducing the operation complexity of the imaging device and effectively improving the detection efficiency.

[0032] Alternatively, if Figure 2 As shown, Figure 2 yes Figure 1A specific flow chart of step S300 in the embodiment; wherein step S300 can be performed by Figure 2 The method steps shown are implemented.

[0033] Step S310: Obtaining the location and section classification results of the ultrasound image.

[0034] Step S320: Obtain corresponding first depth optimization parameters based on the part and section classification results.

[0035] Step S330: optimizing the imaging depth based on the first depth optimization parameter.

[0036] Steps S310 to S330 are explained together.

[0037] When the imaging device obtains the imaging depth optimization instruction, the imaging device will send the image data of the ultrasound image to the pre-trained AI (Artificial Intelligence) classification model for processing. The AI ​​classification model will classify the image data by part, and obtain the classification result, that is, the imaging device determines the category of the detection part through the AI ​​classification model, and then maps the classification result to the final output classification model, thereby obtaining the classification results of the ultrasound image part (detection part) and the section (section of the detection part). In this embodiment, the AI ​​classification model is a pre-trained model, which is mainly obtained by collecting a large amount of clinical data of different parts of the subject, and marking these clinical data by experienced doctors, such as thyroid, carotid artery, abdomen, kidney, heart, etc., and then giving the clinical first depth optimization parameter according to the part information, and classifying the first depth optimization parameter, making it into a label, and using the existing classification model, such as the Unet model, to train the collected clinical data to obtain a trained AI classification model. In other words, the imaging device determines the category of the detection part by acquiring the image data of the ultrasound image of the detection part, that is, determines the classification results of the part and section of the ultrasound image. Furthermore, after determining the part and section classification results of the ultrasound image, the imaging device further obtains the corresponding first depth optimization parameter based on the part and section classification results, and then optimizes the imaging depth of the ultrasound image according to the first depth optimization parameter, so that the imaging depth of the ultrasound image meets the detection standard.

[0038] Alternatively, if Figure 3 As shown, Figure 3 yes Figure 1 A specific flow chart of step S330 in the embodiment; wherein step S330 can be performed by Figure 3 The method steps shown are implemented.

[0039] Step S331: Compare the first depth optimization parameter with the current depth optimization parameter value.

[0040] The imaging device compares the first depth optimization parameter generated based on the site and section classification results with the current depth optimization parameter. The current depth optimization parameter is an imaging depth value set by the user before acquiring the ultrasound image, and the imaging device acquires the current ultrasound image (i.e., the ultrasound image that does not meet the detection standard) based on the imaging depth value.

[0041] Step S332: When the current depth optimization parameter is not equal to the first depth optimization parameter, optimizing the imaging depth based on the first depth optimization parameter.

[0042] When the first depth optimization parameter is not equal to the current depth optimization parameter, the imaging device determines that the reason why the ultrasound image does not meet the detection standard is that the user inputs the wrong current depth optimization parameter or for other reasons. Further, the imaging device uses the first depth optimization parameter as a depth parameter for optimizing the imaging depth and optimizes the ultrasound image. Among them, the depth parameter includes an adjustment direction and an amplitude. After obtaining the above-mentioned depth parameter, the imaging device adjusts the imaging depth along the adjustment direction and based on the amplitude so that the imaging depth meets the detection standard.

[0043] Step S333: When the current depth optimization parameter is equal to the first depth optimization parameter, the effective signal area ratio of the ultrasound image is calculated.

[0044] Step S334: calculating a second depth optimization parameter based on the effective signal area ratio, and optimizing the imaging depth based on the second depth optimization parameter.

[0045] Steps S323 to S324 are explained collectively.

[0046] If the imaging device determines that the first depth optimization parameter is equal to the current depth optimization parameter, the imaging device executes step S323 to step S324. Specifically, if the first depth optimization parameter is equal to the current depth optimization parameter, the imaging device determines that the reason why the ultrasound image does not meet the detection standard is that the first depth optimization parameter does not meet the application of the current detection part or for other reasons, and the imaging device performs the next step of image processing on the ultrasound image, that is, calculating the effective signal area ratio of the ultrasound image, and calculating the second depth optimization parameter based on the effective signal area ratio, and the imaging device optimizes the imaging depth based on the second depth optimization parameter.

[0047] Among them, in this embodiment, the issuance of the effective signal area ratio includes: denoising the generated image, and drawing the signal noise curve of the ultrasound image. Further, the imaging device calculates the effective signal area ratio based on the signal noise curve. Specifically, the imaging device performs denoising preprocessing (such as smoothing, de-averaging, etc.) on the image, accumulates each row of data, and makes a noise judgment. If the accumulated value of the row is greater than a threshold, it is determined that there is a signal, otherwise it is noise. After all rows are judged, the signal noise curve is drawn to obtain the effective signal area ratio. Further, the imaging device determines the depth direction (adjustment direction) and amplitude to be adjusted according to the effective signal area ratio and the depth experience value, that is, determines the second depth optimization parameter. In other words, the imaging device calculates the second depth optimization parameter (the effective depth parameter includes the depth direction (adjustment direction) and amplitude) according to the effective signal area ratio and the depth experience value, and uses the second depth optimization parameter as the depth parameter for optimizing the ultrasound image to optimize the imaging depth of the ultrasound image. Among them, the depth experience value is the depth information experience value of the ultrasound image corresponding to the effective signal area ratio.

[0048] Alternatively, if Figure 4 As shown, Figure 4 FIG. 1 is a schematic diagram of a specific process of another embodiment of the ultrasound image acquisition method of the present application. In this embodiment, the acquisition method may be performed by Figure 4 The method steps shown are implemented.

[0049] Step S400: Acquire an ultrasonic image of a target object.

[0050] The specific implementation method can refer to the description of step S100 in the above embodiment, which will not be repeated here.

[0051] Step S500: generating an imaging depth optimization instruction for optimizing the imaging depth of an ultrasound image in response to a trigger operation.

[0052] The specific implementation method can refer to the description of step S200 in the above embodiment, which will not be repeated here.

[0053] Step S600: Obtain the site and section classification results of the ultrasound image, and obtain the corresponding first depth optimization parameters based on the site and section classification results.

[0054] The specific implementation method can refer to the description of step S310 to step S320 in the above embodiment, which will not be repeated here.

[0055] Step S700: Compare the first depth optimization parameter with the current depth optimization parameter value.

[0056] The specific implementation method can refer to the description of step S331 in the above embodiment, which will not be repeated here.

[0057] Step S800: When the current depth optimization parameter is not equal to the first depth optimization parameter, optimizing the imaging depth based on the first depth optimization parameter.

[0058] The specific implementation method can refer to the description of step S332 in the above embodiment, which will not be repeated here.

[0059] Step S900: When the current depth optimization parameter is equal to the first depth optimization parameter, the effective signal area ratio of the ultrasound image is calculated.

[0060] The specific implementation method can be found in step S333 of the above embodiment, which will not be described in detail here.

[0061] Step S1000: calculating a second depth optimization parameter based on the effective signal area ratio, and optimizing the imaging depth based on the second depth optimization parameter.

[0062] The specific implementation method can be found in step S334 of the above embodiment, which will not be described in detail here.

[0063] Step S1100: displaying the optimized ultrasound image and imaging depth parameters of the ultrasound image.

[0064] Among them, after the imaging device sequentially executes steps S400 to S700 in the above manner, if the first depth optimization parameter is not equal to the current depth optimization parameter, the imaging device executes steps S800 and S1100, and if the first depth optimization parameter is equal to the current depth optimization parameter, the imaging device executes steps S900 to S1100. Specifically, after the imaging device obtains the depth parameter through step S800 or through steps S900 to S1000, the imaging device updates the optimized ultrasonic image and displays the optimized ultrasonic image and the denoising level of the ultrasonic image.

[0065] The present application also provides an imaging device, such as Figure 5 As shown, Figure 5 1 is a schematic diagram of the structure of an embodiment of an imaging device of the present application. The imaging device 10 can implement the acquisition method of any of the above embodiments. The imaging device 10 includes: an acquisition module 100, a generation module 200 and a processing module 300.

[0066] The acquisition module 100 is used to acquire an ultrasonic image of the target object. Specifically, in this embodiment, the acquisition module 100 is an ultrasonic probe assembly, and the user can use the ultrasonic probe assembly to transmit ultrasonic waves to the detection part of the detected object, and receive ultrasonic echoes returned from the detection part, so as to acquire an ultrasonic image of the target object based on the ultrasonic echoes.

[0067] The generation module 200 is used to generate an imaging depth optimization instruction for performing imaging depth optimization on an ultrasound image in response to a trigger operation.

[0068] The processing module 300 is connected to the generating module 200 and the acquiring module 100, and is used to optimize the imaging depth of the ultrasound image in response to the imaging depth optimization instruction.

[0069] Specifically, in this embodiment, the user sends ultrasound to the corresponding part through the ultrasound probe assembly, and the ultrasound probe assembly sends the ultrasound echo to the processing module 300, and the processing module 300 performs front-end processing on the ultrasound echo, wherein the front-end processing specifically includes time gain compensation, analog-to-digital conversion, beam synthesis, demodulation, filtering, envelope extraction, logarithmic compression, etc., to form an original image. Further, the imaging device 10 performs post-processing such as gain control, dynamic range compression, coordinate transformation, etc. on the original image to form the final image data, i.e., the ultrasound image. Further, the imaging device 10 displays the processed ultrasound image to the user through a display screen. If the user feels that the ultrasound image does not meet the detection standard, the user can transmit the optimization instruction to the generation module 200 through a voice trigger operation or a key trigger operation (such as a one-key press operation, etc.), and the generation module 200 generates a depth optimization instruction in response to a voice trigger operation or a key trigger operation. Further, after obtaining the depth optimization instruction, the processing module 300 optimizes the ultrasound image through the acquisition method of any of the above embodiments, and optimizes the ultrasound image to an ultrasound image that meets the detection standard. In other words, after the user finds that the ultrasound image does not meet the detection standard, the user starts the optimization function of the imaging device 10 through a voice trigger operation or a button trigger operation, thereby directly obtaining an ultrasound image that meets the detection standard, so that the user does not need to manually switch the inspection items according to different detection parts, thereby effectively improving the user's work efficiency. And after the imaging device 10 obtains the imaging depth optimization instruction, it will automatically execute the subsequent optimization steps until the imaging depth of the ultrasound image is optimized to meet the detection standard of the detection part. When facing people of different body shapes, the user does not need to manually adjust the imaging depth parameters frequently, thereby effectively reducing the operation complexity of the imaging device 10.

[0070] The present application also proposes an electronic device, wherein the electronic device includes a processor and a memory connected to the processor, the memory stores program instructions, and the processor executes the program instructions to implement the acquisition method of any of the above embodiments.

[0071] This application also proposes a computer-readable storage medium. Figure 6 , Figure 6 It is a structural diagram of an embodiment of a computer-readable storage medium of the present application.

[0072] The computer-readable storage medium 30 of the embodiment of the present application stores program instructions 31 therein, and the program instructions 31 are executed to implement the above-mentioned data downloading method.

[0073] Among them, the program instructions 31 can form a program file and be stored in the above-mentioned storage medium in the form of a software product, so that an electronic device (which can be a personal computer, a server, or a network device, etc.) or a processor (processor) executes all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes, or terminal devices such as computers, servers, mobile phones, tablets, etc.

[0074] The computer-readable storage medium 30 of this embodiment may be, but is not limited to, a USB flash drive, an SD card, a PD optical drive, a mobile hard disk, a large-capacity floppy drive, a flash memory, a multimedia memory card, a server, and the like.

[0075] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs the steps in the above acquisition method embodiment.

[0076] In addition, if the above functions are implemented in the form of software functions and sold or used as independent products, they can be stored in a storage medium readable by a mobile terminal, that is, the present application also provides a storage device storing program instructions, which can be executed to implement the acquisition method of the above embodiment, and the storage device can be, for example, a USB flash drive, an optical disk, a server, etc. In other words, the present application can be embodied in the form of a software product, which includes several instructions for enabling a smart terminal to execute all or part of the steps of the acquisition method described in each embodiment.

[0077] In summary, the present application proposes an ultrasonic image acquisition method and an imaging device 10, wherein the acquisition method includes: receiving an ultrasonic echo of a detection part, and generating an ultrasonic image based on the ultrasonic echo; in response to the imaging depth of the ultrasonic image not meeting the detection standard of the detection part, acquiring an imaging depth optimization instruction; and optimizing the imaging depth of the ultrasonic image based on the imaging depth optimization instruction. The above method can effectively improve the work efficiency of users in acquiring ultrasonic images that meet the detection standards, and effectively reduce the complexity of the imaging device 10.

[0078] It is worth noting that the drawings in this article are only intended to illustrate the structural relationship and connection relationship of the invention product of this application, and do not limit the specific structural dimensions of the invention product of this application.

[0079] The above description is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for acquiring an ultrasonic image, characterized in that: include: acquiring an ultrasound image of a target object; generating an imaging depth optimization instruction for optimizing the imaging depth of the ultrasound image in response to a trigger operation; The imaging depth of the ultrasound image is optimized in response to the imaging depth optimization instruction.

2. The acquisition method according to claim 1, characterized in that: The optimizing the imaging depth of the ultrasound image in response to the imaging depth optimization instruction comprises: Obtaining the location and section classification results of the ultrasound image; Acquire a corresponding first depth optimization parameter based on the part and section classification results; The imaging depth is optimized based on the first depth optimization parameter.

3. The acquisition method according to claim 2, characterized in that: The optimizing the imaging depth based on the first depth optimization parameter comprises: When the current depth optimization parameter is not equal to the first depth optimization parameter, the imaging depth is optimized based on the first depth optimization parameter.

4. The acquisition method according to claim 2, characterized in that: The optimizing the imaging depth based on the first depth optimization parameter comprises: When the current depth optimization parameter is equal to the first depth optimization parameter, calculating the effective signal area ratio of the ultrasound image; Calculate a second depth optimization parameter based on the effective signal area ratio; The imaging depth is optimized based on the second depth optimization parameter.

5. The acquisition method according to claim 4, characterized in that: The calculating the effective signal area ratio of the ultrasound image includes: Performing denoising on the ultrasonic image and drawing a signal-to-noise curve of the ultrasonic image; The effective signal area ratio is calculated based on the signal-to-noise curve.

6. The acquisition method according to claim 1, characterized in that: Also includes: The optimized ultrasound image and the imaging depth parameter of the ultrasound image are displayed.

7. The acquisition method according to claim 1, characterized in that: The trigger operation includes: a voice trigger operation or a key trigger operation.

8. An imaging device, characterized in that: include: An acquisition module, used for acquiring an ultrasonic image of a target object; A generating module, configured to generate, in response to a triggering operation, an imaging depth optimization instruction for performing imaging depth optimization on the ultrasound image; A processing module is connected to the acquisition module and the generation module, and is used to optimize the imaging depth of the ultrasound image in response to the imaging depth optimization instruction.

9. An electronic device, characterized in that: It includes a processor and a memory connected to the processor, the memory stores program instructions, and the processor executes the program instructions to implement the acquisition method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Program instructions are stored, and when the program instructions are executed by a processor, the acquisition method according to any one of claims 1 to 7 can be implemented.

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