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 a denoising instruction for performing denoising optimization on the ultrasonic image in response to the one-time triggering operation; and optimizing the denoising effect of the ultrasonic image in response to the denoising 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, due to the unevenness of the imaging organs or tissue structures, some tiny structures cannot be distinguished. In addition, the interference of sound wave signals forms unique spots on the ultrasound image, reducing the image quality. At present, each manufacturer's ultrasound instrument will have corresponding function buttons, and generally will design several different denoising effects for users to adjust. The names used are different, but the functions are similar, all of which are used to enhance the edges and denoise the spots of the image. Because different parts of the body have different requirements for the effect of speckle denoising, such as the thyroid gland, more details need to be retained, and smoothing should not be too much. The carotid artery needs more edge enhancement, and at the same time, the small structure of the inner membrane needs to be retained and enhanced to facilitate better observation by doctors, etc. Therefore, most ultrasound instruments will set inspection items and pre-set different levels of speckle noise under each inspection item. There are some problems with this method. On the one hand, when using the machine, doctors have to use the probe to scan and observe the image. If scanning different sections, they need to frequently switch examinations and adjust parameters, which will greatly increase the doctor's workload. On the other hand, due to limited screen space, the settings of examination items are limited. For example, the abdominal mode may include different section information of several parts. It is difficult to ensure that the adjustment result is what the doctor wants, especially for small machines, such as handheld ultrasound. It is very inconvenient for doctors to frequently manually adjust parameters. Summary of the invention

[0003] 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.

[0004] 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 a denoising instruction for denoising optimization of the ultrasonic image in response to a trigger operation; and optimizing the denoising effect of the ultrasonic image in response to the denoising instruction.

[0005] Among them, optimizing the denoising effect of the ultrasound image in response to the denoising instruction includes: obtaining the part and section classification results of the ultrasound image; obtaining the corresponding first denoising parameters based on the part and section classification results; and optimizing the denoising effect based on the first denoising parameters.

[0006] The optimizing the denoising effect based on the first denoising parameter includes: optimizing the denoising effect based on the first denoising parameter when the current denoising parameter is not equal to the first denoising parameter.

[0007] Among them, optimizing the denoising effect based on the first denoising parameter includes: when the current denoising parameter is equal to the first denoising parameter, determining the noise level of the ultrasound image; adjusting the first denoising parameter based on the noise level to obtain the second denoising parameter; and optimizing the denoising effect based on the second denoising parameter.

[0008] The second denoising parameter includes a first sub-denoising parameter and a second sub-denoising parameter; adjusting the first denoising parameter based on the noise level to obtain the second denoising parameter includes: comparing the noise level with the noise threshold; if the noise level is greater than the noise threshold, adjusting the first denoising parameter to the first sub-denoising parameter; if the noise level is less than the noise threshold, adjusting the first denoising parameter to the second sub-denoising parameter; wherein the denoising effect of the first denoising parameter is stronger than the denoising effect of the second sub-denoising parameter, and weaker than the denoising effect of the first sub-denoising parameter.

[0009] The method also includes: displaying the optimized ultrasound image and the denoising level of the ultrasound image.

[0010] Among them, one trigger operation includes: one voice trigger operation or one key trigger operation.

[0011] In order to solve the above technical problems, the technical solution adopted in the present application is: an imaging device, comprising: an acquisition module, used to acquire an ultrasonic image of a target object; a generation module, used to generate a denoising instruction for denoising optimization of the ultrasonic image in response to a trigger operation; a processing module, connected to the acquisition module and the generation module, and the processing module is used to optimize the denoising effect of the ultrasonic image in response to the denoising instruction.

[0012] 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.

[0013] 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.

[0014] The beneficial effect of the embodiment of the present application is: 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 a denoising instruction for denoising optimization of the ultrasonic image in response to a trigger operation; optimizing the denoising effect of the ultrasonic image in response to the denoising instruction. Through the above method, the imaging device generates a denoising instruction in response to a trigger operation, responds to the denoising instruction and refers to the denoising effect required by the detection part as the detection standard, and denoises the ultrasonic image. Based on this, when the user needs to optimize the ultrasonic image, only one trigger operation is required to control the imaging device to denoise the ultrasonic image. In this way, the user does not need to switch the inspection items to re-scan during the operation, nor does he need to frequently adjust the speckle denoising parameter gear, which greatly shortens the user's working time and operation complexity, thereby effectively improving the user's work efficiency in acquiring ultrasonic images that meet the detection standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flowchart of an embodiment of a method for acquiring an ultrasonic image of the present application;

[0016] Figure 2 yes Figure 1 A schematic diagram of a specific flow chart of an embodiment of step S300 in the embodiment;

[0017] Figure 3 yes Figure 2 A schematic diagram of a specific flow chart of an embodiment of step S330 in the embodiment;

[0018] Figure 4 yes Figure 3 A specific flow chart of step S334 in the embodiment;

[0019] Figure 5 It is a specific flow chart of another embodiment of the method for acquiring ultrasound images of the present application;

[0020] Figure 6 It is a structural schematic diagram of an embodiment of an imaging device of the present application;

[0021] Figure 7 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 FIG. 1 is a flow chart of an embodiment of a method for acquiring ultrasound images of the present application. The acquisition method may specifically adopt the following method: Figure 1 The method steps shown are implemented, wherein the acquisition method specifically includes the following method steps, wherein in this embodiment, the execution subject of the acquisition method includes an imaging device. In this embodiment, the imaging device is an ultrasonic instrument, which can generate an ultrasonic image through ultrasonic echoes.

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

[0026] The imaging device acquires the ultrasonic echo of the detection part that the user needs to detect, and generates an ultrasonic image based on the ultrasonic echo, that is, generates an ultrasonic image based on the generated echo 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 a denoising instruction for denoising optimization of an ultrasound image in response to a trigger operation.

[0028] In this embodiment, the detection part refers to the body tissue or organ of the subject that needs to be inspected. In medical ultrasound imaging, due to the unevenness of the imaging organ or tissue structure, some tiny structures cannot be distinguished, and the interference phenomenon of the sound wave signal forms unique spots on the ultrasound image, which reduces the image quality. Different parts of the body have different requirements for the effect of speckle denoising. For example, the thyroid gland needs to retain more details and not too much smoothing. The carotid artery needs more edge enhancement. At the same time, the small structure of the inner membrane and the media needs to be retained and enhanced to facilitate better observation by doctors, etc. Therefore, most ultrasound instruments will set inspection items and pre-set different levels of speckle noise under each inspection item.

[0029] Therefore, in this step, after the ultrasonic image is acquired through the above steps, if the denoising effect of the current ultrasonic image does not meet the detection standard of the detection part, a denoising 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 denoising effect 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 a denoising instruction, or the user can directly shout "denoising optimization", and the imaging device generates a denoising instruction in response to a voice trigger operation "denoising optimization". Alternatively, an automatic recognition function is provided in the imaging device, through which the imaging device automatically generates a denoising instruction after determining that the denoising effect of the ultrasonic image does not meet the detection standard of the detection part. Among them, in this embodiment, the denoising instruction is a trigger signal.

[0030] Step S300: Optimizing the denoising effect of the ultrasound image in response to the denoising instruction.

[0031] After the imaging device obtains the denoising instruction through the above step S200, it will automatically perform denoising on the ultrasonic image, that is, optimize the denoising effect of the ultrasonic image, so that the denoising effect of the optimized ultrasonic image meets the detection standard. Different from the prior art, when the denoising effect of the content displayed by the acquired ultrasonic image does not meet the denoising effect required by the detection part, the user can trigger the imaging device to generate the corresponding denoising instruction through a trigger operation. After the imaging device generates the denoising instruction, it responds to the denoising instruction and triggers the function of denoising the ultrasonic image. Based on this, when the user needs to optimize the ultrasonic image, only one trigger operation is needed to control the imaging device to perform denoising on the ultrasonic image, without switching the inspection items to re-scan, and without frequently adjusting the speckle denoising parameter gear, which greatly shortens the user's working time and operation complexity, thereby effectively improving the user's work efficiency in obtaining ultrasonic images that meet the detection standards.

[0032] Alternatively, if Figure 2 As shown, Figure 2 yes Figure 1 A 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 denoising parameters based on the part and section classification results.

[0035] Step S330: Optimizing the denoising effect based on the first denoising parameter.

[0036] Steps S310 to S330 are explained together.

[0037] When the imaging device obtains the imaging denoising 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 part (detection part) and section (section of the detection part) of the ultrasound image. In this embodiment, the AI ​​classification model is a pre-trained model, which is mainly obtained by collecting a large amount of clinical data from different parts of the subject, and having experienced doctors mark these clinical data, such as thyroid, carotid artery, abdomen, kidney, heart, etc., and then giving a clinical classification model based on the part information, and dividing the classification model into levels, 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 obtaining the image data of the ultrasound image of the detection part. Furthermore, after obtaining the part and section classification results, the imaging device further obtains the corresponding first denoising parameters based on the part and section classification results, and then denoises the ultrasound image based on the first denoising parameters, so that the denoising effect of the ultrasound image meets the detection standard (even if the noise level of the ultrasound image meets the detection standard, where the lower the noise level, the better the denoising effect, and vice versa).

[0038] Alternatively, if Figure 3 As shown, Figure 3 yes Figure 2 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 denoising parameter with the current denoising parameter.

[0040] The current denoising parameter is a pre-denoising parameter set by the user before acquiring the ultrasound image, and the imaging device acquires the current ultrasound image according to the pre-denoising parameter.

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

[0042] If the first denoising parameter is not equal to the current denoising parameter, the imaging device determines that the reason why the ultrasound image does not meet the detection standard is that the user inputs an incorrect preset value or other reasons. Further, the imaging device uses the first denoising parameter as a denoising parameter for optimizing the denoising effect, and optimizes the ultrasound image based on the first denoising parameter.

[0043] Step S333: when the current denoising parameter is equal to the first denoising parameter, the noise level of the ultrasound image is determined.

[0044] Step S334: adjusting the first denoising parameter based on the noise level to obtain a second denoising parameter, and optimizing the denoising effect based on the second denoising parameter.

[0045] Steps S333 to S334 are explained together.

[0046] If the imaging device determines that the first denoising parameter is equal to the current denoising parameter, the imaging device executes step S333 to step S334. Specifically, if the first denoising parameter is equal to the current denoising parameter, the imaging device determines that the reason why the ultrasound image does not meet the detection standard is that the first denoising parameter does not meet the application of the current detection part, and the imaging device performs the next step of image processing on the ultrasound image, that is, judging the noise level of the ultrasound image, such as but not limited to: signal to noise ratio (SNR), peak signal to noise ratio (PSNR), mean square error (MSE), structural similarity (SSIM), etc. After obtaining the noise level, the imaging device adjusts the first denoising parameter based on the noise level to obtain the second denoising parameter, and uses the second denoising parameter as the denoising parameter for optimizing the denoising effect.

[0047] Specifically, Figure 4 As shown, Figure 4 yes Figure 3 The specific flow chart of step S334 in the embodiment is as follows. The second denoising parameter includes the first sub-denoising parameter and the second sub-denoising parameter. The current denoising parameter can be obtained based on the noise level. Figure 4 The method shown is implemented.

[0048] Step S3341: Compare the noise level with the noise threshold.

[0049] Step S3342: If the noise level is greater than the noise threshold, the first denoising parameter is adjusted to a first sub-denoising parameter.

[0050] Step S3343: If the noise level is less than the noise threshold, the first denoising parameter is adjusted to the second sub-denoising parameter; wherein the denoising effect of the first denoising parameter is stronger than the denoising effect of the second sub-denoising parameter, and weaker than the denoising effect of the first sub-denoising parameter.

[0051] Steps S3341 to S3343 are explained together.

[0052] Among them, the denoising effect of the first denoising parameter is stronger than the denoising effect of the second sub-denoising parameter, and weaker than the denoising effect of the first sub-denoising parameter. A threshold is set for the quantitative indicator of the noise level, that is, the above-mentioned noise threshold. If the noise level is greater than the noise threshold, it means that the noise of the ultrasound image is very large, and the denoising effect can be set stronger, that is, the first denoising parameter is adjusted to the first sub-denoising parameter, and the first sub-denoising parameter is used as the denoising parameter for optimizing the denoising effect. For example, when the noise level is greater than the noise threshold, the filter kernel dimension can be expanded, or the number of filtering times can be increased, or the Gaussian filter can be changed to a mean filter. If the noise level is less than the noise threshold, it means that the noise of the ultrasound image is not too large, and the denoising effect can be set weaker, that is, the first denoising parameter is adjusted to the second sub-denoising parameter as the denoising parameter for optimizing the denoising effect, so as to ensure that the denoising effect meets the detection standard while reducing the calculation of the imaging device. For example, when the noise level is less than the noise threshold, the filter kernel dimension can be reduced, or the number of filtering times can be reduced, or the mean filter can be changed to a Gaussian filter.

[0053] Alternatively, if Figure 5 Show, Figure 5 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.

[0054] Step S400: Acquire an ultrasonic image of a target object.

[0055] The specific implementation method can refer to the description of step S100 in the above embodiment, which will not be repeated here.

[0056] Step S500: generating a denoising instruction for denoising optimization of an ultrasound image in response to a trigger operation.

[0057] The specific implementation method can refer to the description of step S200 in the above embodiment, which will not be repeated here.

[0058] Step S600: Obtain the site and section classification results of the ultrasound image, and obtain the corresponding first denoising parameters based on the site and section classification results.

[0059] 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.

[0060] Step S700: Compare the first denoising parameter with the current denoising parameter.

[0061] The specific implementation method can refer to the description of step S331 in the above embodiment, which will not be repeated here.

[0062] Step S800: When the current denoising parameter is not equal to the first denoising parameter, optimizing the denoising effect based on the first denoising parameter.

[0063] The specific implementation method can refer to the description of step S332 in the above embodiment, which will not be repeated here.

[0064] Step S900: when the current denoising parameter is equal to the first denoising parameter, the noise level of the ultrasound image is determined.

[0065] The specific implementation method can be found in step S333 of the above embodiment, which will not be described in detail here.

[0066] Step S1000: adjusting the first denoising parameter based on the noise level to obtain the second denoising parameter, and optimizing the denoising effect based on the second denoising parameter.

[0067] The specific implementation method can be found in step S334 of the above embodiment, which will not be described in detail here.

[0068] Step S1100: displaying the optimized ultrasound image and the denoising level of the ultrasound image.

[0069] Wherein, after the imaging device sequentially executes steps S400 to S700 in the above manner, if the first denoising parameter is not equal to the current denoising parameter, the imaging device executes steps S800 and S1100, and if the first denoising parameter is equal to the current denoising parameter, the imaging device executes steps S900 to S1100. Specifically, after the imaging device obtains the denoising 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.

[0070] The present application also provides an imaging device, such as Figure 6 As shown, Figure 61 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.

[0071] 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 object, receive ultrasonic echoes returned from the detection part, and generate images based on the ultrasonic echoes.

[0072] The generating module 200 is used to generate a denoising instruction for performing denoising optimization on an ultrasound image in response to a triggering operation.

[0073] The processing module 300 is connected to the generating module 200 and the acquiring module 100, and is used to optimize the denoising effect of the ultrasonic image in response to the denoising instruction.

[0074] 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 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 denoising instruction in response to a voice trigger operation or a key trigger operation. Further, after obtaining the denoising instruction of the generation module 200, 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 standards, 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 standards, so that the user does not need to manually switch inspection items according to different detection parts, thereby effectively improving the user's work efficiency.

[0075] The present application also provides 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.

[0076] This application also proposes a computer-readable storage medium. Figure 7 , Figure 7 It is a structural diagram of an embodiment of a computer-readable storage medium of the present application.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] 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.

[0082] In summary, the present application proposes an ultrasonic image acquisition method and an imaging device 10, the acquisition method comprising: acquiring an ultrasonic image of a target object; generating a denoising instruction for denoising optimization of the ultrasonic image in response to a trigger operation; optimizing the denoising effect of the ultrasonic image in response to the denoising instruction, so that the denoising effect meets the detection standard. In the above manner, the imaging device generates a denoising instruction in response to a trigger operation, responds to the denoising instruction and refers to the denoising effect required by the detection part as the detection standard, and denoises the ultrasonic image until the denoising effect of the ultrasonic image meets the detection standard of the detection part. Based on this, when the user needs to optimize the ultrasonic image, only one trigger operation is required to control the imaging device to denoise the ultrasonic image. In this way, the user does not need to switch the inspection item to re-scan during the operation, nor does he need to frequently adjust the speckle denoising parameter gear, which greatly shortens the user's working time and operation complexity, thereby effectively improving the user's work efficiency in obtaining ultrasonic images that meet the detection standards.

[0083] 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.

[0084] 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 a denoising instruction for performing denoising optimization on the ultrasound image in response to a trigger operation; The denoising effect of the ultrasound image is optimized in response to the denoising instruction.

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

3. The acquisition method according to claim 2, characterized in that: The optimizing the denoising effect based on the first denoising parameter includes: When the current denoising parameter is not equal to the first denoising parameter, the denoising effect is optimized based on the first denoising parameter.

4. The acquisition method according to claim 2, characterized in that: The optimizing the denoising effect based on the first denoising parameter includes: When the current denoising parameter is equal to the first denoising parameter, determining the noise level of the ultrasound image; Adjust the first denoising parameter based on the noise level to obtain a second denoising parameter; The denoising effect is optimized based on the second denoising parameter.

5. The acquisition method according to claim 4, characterized in that: The second denoising parameter includes a first sub-denoising parameter and a second sub-denoising parameter; and the adjusting the first denoising parameter based on the noise level to obtain the second denoising parameter includes: comparing the noise level to a noise threshold; If the noise level is greater than the noise threshold, adjusting the first denoising parameter to the first sub-denoising parameter; If the noise level is less than the noise threshold, adjusting the first denoising parameter to the second sub-denoising parameter; The denoising effect of the first denoising parameter is stronger than the denoising effect of the second sub-denoising parameter, but weaker than the denoising effect of the first sub-denoising parameter.

6. The acquisition method according to claim 1, characterized in that: Also includes: The optimized ultrasound image and the denoising level 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, a denoising instruction for performing denoising optimization on the ultrasound image; A processing module is connected to the acquisition module and the generation module, and is used for optimizing the denoising effect of the ultrasound image in response to the denoising 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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