Ultrasonic imaging workflow processing method and system

Abstract

The embodiment of the invention discloses an ultrasonic imaging workflow processing method and system, and the method comprises the steps: enabling an ultrasonic device to obtain at least one frame of ultrasonic image, and transmitting the at least one frame of ultrasonic image to a cloud server, so as to enable the cloud server to carry out the recognition processing of the at least one frame of ultrasonic image obtained by the ultrasonic device, and to determine the section type of the ultrasonic image; compared with an ultrasonic equipment local recognition scheme, the section type recognition accuracy is high, the recognition processing efficiency is high, and the ultrasonic equipment automatically associates the ultrasonic image to the corresponding standard section in the target workflow protocol according to the received section type of the ultrasonic image fed back by the cloud server; and the ultrasonic section image and the corresponding standard section information are displayed, so that the working efficiency of doctors can be remarkably improved. In addition, the method adapts to personalized operation habits of doctors, section scanning does not need to be carried out according to a specified sequence of the ultrasonic imaging workflow, and the operation experience of the doctors is improved.

Description

Technical Field

[0001] This application relates to the field of ultrasound imaging technology, and more specifically to a method and system for processing ultrasound imaging workflows. Background Technology

[0002] The scanning protocol of an automated ultrasound workflow is a template protocol designed for specific applications based on the basic operational procedures of ultrasound examination. The scanning protocol guides users to scan various sections of biological tissue, providing operational convenience for ultrasound scanners, ensuring the standardization and completeness of the examination process, preventing missed sections, and quickly obtaining ultrasound images of each section. In related technologies, doctors need to save sections sequentially according to the scanning order specified in the automated workflow. However, since different doctors have their own scanning habits and techniques, blindly following a specific order for section scanning does not conform to individual doctor habits, leading to low work efficiency. If the doctor does not follow the scanning order of the automated workflow, they need to manually match the currently scanned section with the preset sections in the automated workflow, which undoubtedly increases the workload and leads to low ultrasound scanning efficiency. Currently, although there are related technologies that can automatically identify the section type corresponding to ultrasound image data, their recognition accuracy is low and the recognition time is long. Summary of the Invention

[0003] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.

[0004] This application provides a method and system for processing ultrasound imaging workflows that can automatically identify the workflow section type corresponding to ultrasound image data, and has high identification efficiency and accuracy.

[0005] On one hand, embodiments of this application provide a method for processing an ultrasonic imaging workflow, applied to ultrasonic equipment, the method comprising:

[0006] At least one frame of ultrasound image is acquired and sent to a cloud server so that the cloud server can perform recognition processing on the at least one frame of ultrasound image to determine the cross-sectional type of the ultrasound image.

[0007] Receive the section type of the ultrasound image fed back by the cloud server;

[0008] Based on the section type of the ultrasound image, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol, which serves as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections.

[0009] The ultrasonic cross-sectional image and its corresponding standard cross-sectional information are displayed.

[0010] In one embodiment of the present application, the receiving the section type of the ultrasound image fed back by the cloud server comprises:

[0011] Receiving the section type and matching degree of the ultrasound image fed back by the cloud server, wherein the matching degree is determined by the cloud server according to the comparison between the ultrasound image and its corresponding standard section;

[0012] The automatic association of the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, as the ultrasound section image corresponding to the corresponding standard section, comprises:

[0013] The automatic association of the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, when at least two of the ultrasound images correspond to the same section type, the ultrasound image specified by the user or the ultrasound image with the highest matching degree is associated to the corresponding standard section in the target workflow protocol, and as the ultrasound section image corresponding to the corresponding standard section.

[0014] In one embodiment of the present application, the receiving the section type of the ultrasound image fed back by the cloud server comprises:

[0015] Receiving the section type and matching degree of the ultrasound image fed back by the cloud server, wherein the matching degree is determined by the cloud server according to the comparison between the ultrasound image and its corresponding standard section;

[0016] The automatic association of the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, as the ultrasound section image corresponding to the corresponding standard section, comprises:

[0017] Comparing the matching degree of the ultrasound image with a preset matching degree condition; if the preset matching degree condition is met, the ultrasound image is automatically associated to the corresponding standard section in the target workflow protocol, as the ultrasound section image corresponding to the corresponding standard section; if the preset matching degree condition is not met, the current recognition processing result is discarded or the ultrasound image is stored in a candidate section storage area.

[0018] In one embodiment of the present application, the obtained at least one frame of ultrasound image is one of:

[0019] The user operates the ultrasound device to save the obtained at least one frame of current frame of ultrasound image;

[0020] The ultrasound device stores multiple frames of at least one frame of ultrasound image;

[0021] The storage medium stores at least one frame of the ultrasound image or video stream data.

[0022] In one embodiment of the present application, a single frame of the ultrasound image includes at least one ultrasound image information, wherein the at least one ultrasound image information includes at least one of the following:

[0023] B image information, blood flow image information, contrast image information, elasticity image information, and photoacoustic image information.

[0024] In one embodiment of the present application, the acquiring at least one frame of the ultrasound image and sending the at least one frame of the ultrasound image to the cloud server includes:

[0025] Acquiring at least one frame of the ultrasound image and integrating at least one ultrasound image information corresponding to each frame of the ultrasound image into an ultrasound image data file in a target format;

[0026] Sending the ultrasound image data file to the cloud server.

[0027] In one embodiment of the present application, the method further includes:

[0028] Storing the ultrasound section image to a standard section storage area;

[0029] Displaying a thumbnail of the ultrasound section image and / or the standard section information in the standard section storage area;

[0030] After acquiring a first selection instruction of selecting the ultrasound section image in the standard section storage area by a user, displaying the selected ultrasound section image and the corresponding standard section information.

[0031] In one embodiment of the present application, the displaying the ultrasound section image and the corresponding standard section information includes displaying a section list of the standard section in the target workflow protocol and highlighting the standard section corresponding to the ultrasound section image in the section list, wherein the highlighting includes at least one of the following:

[0032] Label display;

[0033] Highlight display;

[0034] Color distinction display;

[0035] Font distinction display.

[0036] In one embodiment of the present application, the receiving the section type of the ultrasound image fed back by the cloud server further includes one of the following:

[0037] receiving the section type, the anatomical structure information and the matching degree of the ultrasound image fed back by the cloud server;

[0038] alternatively, receiving the section type and the anatomical structure information of the ultrasound image fed back by the cloud server;

[0039] alternatively, receiving the section type and the matching degree of the ultrasound image fed back by the cloud server.

[0040] In an embodiment of the present application, the method further comprises:

[0041] receiving the ultrasound image whose section type has been identified fed back by the cloud server.

[0042] In an embodiment of the present application, the acquiring at least one frame of ultrasound image and sending at least one frame of the ultrasound image to the cloud server comprises:

[0043] acquiring a target workflow protocol and at least one frame of ultrasound image corresponding to the target workflow protocol, and sending at least one frame of the ultrasound image and the workflow information of the target workflow protocol to the cloud server, wherein the target workflow protocol is selected by a user from a workflow protocol list, and the workflow protocol list is a list stored locally in the ultrasound device or a list acquired from the cloud server.

[0044] In an embodiment of the present application, the method further comprises:

[0045] acquiring the ultrasound image and the target section type specified by a user corresponding to the ultrasound image;

[0046] sending the ultrasound image and the target section type to the cloud server;

[0047] receiving the matching degree of the ultrasound image and the standard section and / or the ultrasound image whose matching degree meets a preset matching condition fed back by the cloud server;

[0048] displaying the ultrasound image and / or the matching degree.

[0049] On the other hand, an embodiment of the present application provides a processing method of an ultrasound imaging workflow, characterized in that the method is applied to a cloud server and comprises:

[0050] receiving ultrasound data sent by an ultrasound device, wherein the ultrasound data corresponds to an ultrasound image acquired by the ultrasound device;

[0051] The ultrasonic data is subjected to identification processing to determine the section type of the ultrasonic image, and an identification processing result is fed back to the ultrasonic device according to the section type of the ultrasonic image, so that the ultrasonic device automatically associates the ultrasonic image to a corresponding standard section in a target workflow protocol as an ultrasonic section image corresponding to the corresponding standard section according to the identification processing result, wherein the target workflow protocol comprises a preset group of standard sections.

[0052] In one embodiment of the present application, the ultrasonic data is image data of the ultrasonic image or ultrasonic wave echo data corresponding to the ultrasonic image.

[0053] In one embodiment of the present application, the identification processing result comprises at least one of the following:

[0054] section type information recording the section type of the ultrasonic image;

[0055] the ultrasonic image meeting the standard section requirement;

[0056] image ID information of the ultrasonic image meeting the standard section requirement.

[0057] In one embodiment of the present application, the ultrasonic data sent by the ultrasonic device comprises:

[0058] receiving at least one frame of ultrasonic data of the ultrasonic image sent by the ultrasonic device and a target section type specified by a user;

[0059] The identification processing of the ultrasonic data to determine the section type of the ultrasonic image, and the feedback of the identification processing result to the ultrasonic device according to the section type of the ultrasonic image comprises one of the following:

[0060] According to the data of the standard section library corresponding to the target section type and the ultrasonic data, the matching degree of the ultrasonic image is determined, and the matching degree of the ultrasonic image is fed back to the ultrasonic device;

[0061] Alternatively, according to the data of the standard section library corresponding to the target section type and the ultrasonic data, the matching degree of the ultrasonic image is determined, and the ultrasonic image and / or the image ID information of the ultrasonic image whose matching degree meets a preset matching degree condition are sent to the ultrasonic device

[0062] Or, each of the ultrasound data is matched with the data of the standard section library corresponding to the target section type, the matching degree of each of the ultrasound images is determined, the ultrasound image with the highest matching degree is selected as the ultrasound image meeting the standard section requirement, and the ultrasound image meeting the standard section requirement and / or the image ID information of the ultrasound image is fed back to the ultrasound device.

[0063] In one embodiment of the present application, the method further comprises at least one of the following:

[0064] The terminal device accesses the cloud server, acquires the ultrasound section image and the associated standard section information stored in the cloud server, and displays the ultrasound section image and the corresponding standard section information on the terminal device.

[0065] The terminal device acquires a target section type specified by a user, accesses the cloud server, finds the ultrasound section image matching the target section type in the cloud server, and displays the ultrasound section image on the terminal device.

[0066] In one embodiment of the present application, the terminal device is a mobile terminal, a local computer terminal, or the ultrasound device.

[0067] In another aspect, an embodiment of the present application provides a processing method of an ultrasound imaging workflow, applied to a cloud server, and the method comprises:

[0068] Receiving ultrasound data sent by an ultrasound device, wherein the ultrasound data corresponds to an ultrasound image acquired by the ultrasound device;

[0069] Performing identification processing on the ultrasound data to determine a section type of the ultrasound image;

[0070] Automatically associating the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image, and storing the corresponding standard section as an ultrasound section image corresponding to the corresponding standard section in the cloud server, wherein the target workflow protocol comprises a preset group of standard sections.

[0071] In another aspect, an embodiment of the present application provides a processing method of an ultrasound imaging workflow, and the method comprises:

[0072] An ultrasound device acquires at least one frame of ultrasound image, and sends the at least one frame of ultrasound image to a cloud server;

[0073] The cloud server performs identification processing on the at least one frame of ultrasound image to determine a section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device.

[0074] The ultrasound device automatically associates the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image as an ultrasound section image corresponding to the corresponding standard section, wherein the target workflow protocol comprises a preset set of standard sections.

[0075] The ultrasound device displays the ultrasound section image and its corresponding standard section information.

[0076] In another aspect, the embodiments of the present application provide a processing method of an ultrasound imaging workflow, the cloud server performs recognition processing on at least one frame of the ultrasound image, determines the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, comprising:

[0077] The cloud server performs recognition processing on at least one frame of the ultrasound image, determines the section type of the ultrasound image and the matching degree of the ultrasound image and a standard section, and feeds back the section type of the ultrasound image and the matching degree to the ultrasound device;

[0078] The ultrasound device automatically associates the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image as an ultrasound section image corresponding to the corresponding standard section, comprising:

[0079] The ultrasound device obtains the section types of a plurality of ultrasound images and their matching degrees from the cloud server, when at least two of the ultrasound images correspond to the same section type, associates the ultrasound image specified by a user or having the highest matching degree to a corresponding standard section in a target workflow protocol, and as an ultrasound section image corresponding to the corresponding standard section.

[0080] In another aspect, the embodiments of the present application provide a processing method of an ultrasound imaging workflow, the cloud server performs recognition processing on at least one frame of the ultrasound image, determines the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, comprising:

[0081] The cloud server performs recognition processing on at least one frame of the ultrasound image, determines the section type of the ultrasound image and the matching degree of the ultrasound image and a standard section, and feeds back the section type of the ultrasound image and the matching degree to the ultrasound device;

[0082] The ultrasound device automatically associates the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image as an ultrasound section image corresponding to the corresponding standard section, comprising:

[0083] The ultrasound device compares the matching degree of the ultrasound image with a preset matching degree condition; if the preset matching degree condition is met, the ultrasound image is automatically associated to a corresponding standard section in a target workflow protocol as an ultrasound section image corresponding to the corresponding standard section; if the preset matching degree condition is not met, the current recognition processing result is discarded or the ultrasound image is stored in a candidate section storage area.

[0084] In another aspect, an embodiment of the present application provides a processing method of an ultrasound imaging workflow, the cloud server performs recognition processing on at least one frame of the ultrasound image, determines a section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, including:

[0085] The cloud server obtains multiple frames of the ultrasound image from the ultrasound device, and performs recognition processing on each of the ultrasound images respectively, to determine a section type of each of the ultrasound images and a matching degree thereof;

[0086] If at least two of the ultrasound images correspond to the same section type, the ultrasound image with the highest matching degree is selected as a target ultrasound image, and the section type of the target ultrasound image is fed back to the ultrasound device, or the section type of the target ultrasound image and the matching degree thereof are fed back.

[0087] In another aspect, an embodiment of the present application provides a processing method of an ultrasound imaging workflow, the method further includes:

[0088] The cloud server further automatically associates the ultrasound image to a corresponding standard section in a target workflow protocol as an ultrasound section image corresponding to the corresponding standard section according to the section type of the ultrasound image and stores the ultrasound section image in the cloud server;

[0089] The terminal device accesses the cloud server, obtains the ultrasound section image and the associated standard section information stored in the cloud server, and displays the ultrasound section image and the corresponding standard section information on the terminal device.

[0090] In another aspect, an embodiment of the present application provides a processing method of an ultrasound imaging workflow, the cloud server performs recognition processing on at least one frame of the ultrasound image, determines a section type of the ultrasound image, including: the cloud server performs recognition processing on at least one frame of the ultrasound image, determines a section type of the ultrasound image, anatomical structure information and a matching degree of the ultrasound image and a standard section;

[0091] The processing method of the ultrasound imaging workflow further includes:

[0092] The terminal device also obtains the anatomical structure information and the matching degree of the ultrasound cross-sectional image through the cloud server, and displays the anatomical structure information and the matching degree of the ultrasound cross-sectional image on the terminal device.

[0093] On the other hand, embodiments of this application provide a method for processing an ultrasound imaging workflow, applied to an ultrasound device, the method comprising:

[0094] An ultrasound image is acquired, and the ultrasound data corresponding to the ultrasound image is sent to a cloud server, so that the cloud server can perform recognition processing on at least one frame of the ultrasound image, thereby determining the cross-sectional type of the ultrasound image.

[0095] Receive the recognition and processing results fed back by the cloud server based on the facet type;

[0096] Based on the recognition and processing results, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol, and serves as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections.

[0097] The ultrasonic cross-sectional image and its corresponding standard cross-sectional information are displayed.

[0098] In one embodiment of this application, the ultrasound data is the image data of the ultrasound image or the ultrasound echo data corresponding to the ultrasound image.

[0099] On the other hand, embodiments of this application provide a method for processing an ultrasound imaging workflow, the method comprising:

[0100] The ultrasound equipment acquires ultrasound images and sends the ultrasound data corresponding to the ultrasound images to the cloud server;

[0101] The cloud server performs identification processing on the ultrasound data, determines the cross-sectional type of the ultrasound image, and feeds back the identification processing results to the ultrasound device based on the cross-sectional type of the ultrasound image.

[0102] The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol based on the recognition and processing result, as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections.

[0103] The ultrasound device displays the ultrasound cross-sectional image and its corresponding standard cross-sectional information.

[0104] In one embodiment of this application, the ultrasound data is the image data of the ultrasound image or the ultrasound echo data corresponding to the ultrasound image.

[0105] In another aspect, an embodiment of the present application provides a method for processing an ultrasound imaging workflow, the method comprising:

[0106] an ultrasound device acquires an ultrasound image and sends ultrasound data corresponding to the ultrasound image to a cloud server;

[0107] the cloud server performs recognition processing on the ultrasound data to determine a section type of the ultrasound image;

[0108] the cloud server automatically associates the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image, and stores the ultrasound image as an ultrasound section image corresponding to the corresponding standard section in the cloud server, wherein the target workflow protocol comprises a preset group of standard sections.

[0109] In another aspect, an embodiment of the present application provides an ultrasound imaging workflow system comprising an ultrasound device and a cloud server, wherein:

[0110] the ultrasound device is configured to acquire an ultrasound image and send ultrasound data corresponding to the ultrasound image to a cloud server;

[0111] the cloud server is configured to perform recognition processing on the ultrasound data to determine a section type of the ultrasound image, and feed back a recognition processing result to the ultrasound device according to the section type of the ultrasound image;

[0112] the ultrasound device is further configured to automatically associate the ultrasound image to a corresponding standard section in a target workflow protocol according to the recognition processing result, store the ultrasound image as an ultrasound section image corresponding to the corresponding standard section, and display the ultrasound section image and standard section information corresponding thereto, wherein the target workflow protocol comprises a preset group of standard sections.

[0113] In another aspect, an embodiment of the present application provides an ultrasound imaging workflow system comprising an ultrasound device and a cloud server, wherein:

[0114] the ultrasound device is configured to acquire an ultrasound image and send ultrasound data corresponding to the ultrasound image to a cloud server;

[0115] the cloud server is configured to perform recognition processing on the ultrasound data to determine a section type of the ultrasound image, and automatically associate the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image, and store the ultrasound image as an ultrasound section image corresponding to the corresponding standard section in the cloud server, wherein the target workflow protocol comprises a preset group of standard sections.

[0116] In another aspect, an embodiment of the present application provides an ultrasound imaging system comprising:

[0117] an ultrasonic probe;

[0118] transmitting and receiving circuitry configured to excite the ultrasonic probe to emit ultrasonic waves toward a target to be detected, receive ultrasonic echoes of the ultrasonic waves returned from the target to be detected, and obtain ultrasonic echo data;

[0119] a beam synthesis and signal processing module configured to perform beam synthesis and signal processing on the echo signals to obtain an ultrasonic image;

[0120] a human-computer interaction interface configured to receive an ultrasonic scanning operation instruction input by a user;

[0121] a transmission module;

[0122] a display device;

[0123] a processor configured to determine, according to the ultrasonic scanning operation instruction, the ultrasonic image that needs to be recognized, send image data corresponding to the ultrasonic image or the ultrasonic echo data to a cloud server through the transmission module, so that the cloud server performs section type recognition processing on the ultrasonic image, receive, through the transmission module, recognition processing results fed back by the cloud server, automatically associate, according to the recognition processing results, the ultrasonic image to a corresponding standard section in a target workflow protocol as an ultrasonic section image corresponding to the corresponding standard section, and control the display device to display the ultrasonic section image and standard section information corresponding to the ultrasonic section image.

[0124] The embodiments of the present application have at least the following beneficial effects:

[0125] In an aspect, the processing method of the ultrasound imaging workflow provided by an embodiment of the present application is provided. The ultrasound device sends at least one frame of ultrasound image to the cloud server to make the cloud server identify and process the at least one frame of ultrasound image acquired by the ultrasound device and determine the section type of the ultrasound image. The ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image fed back by the cloud server, as the ultrasound section image corresponding to the corresponding standard section, and displays the ultrasound section image and the standard section information corresponding thereto. In the embodiment of the present application, the ultrasound device realizes the interaction with the cloud server by uploading the ultrasound image and receiving the section type of the ultrasound image, and identifies the section type of the ultrasound image by using the cloud server. Since the identification computing resource is rich in the cloud server, compared with the local identification scheme of the ultrasound device, the accuracy of the section type identification is high, the efficiency of the identification processing is high, and the identification processing time is short. The ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type fed back by the cloud server, which can significantly improve the work efficiency of the doctor, optimize the scanning process, reduce the section omission or error caused by human factors, and ensure the accuracy and integrity of the examination. In addition, the method also adapts to the personalized operation habits of the doctor, does not need to scan the section according to the specified order of the ultrasound imaging workflow, takes care of the personalized needs of the doctor, and improves the operation experience of the doctor.

[0126] On the other hand, one embodiment of this application provides a processing method for an ultrasound imaging workflow. An ultrasound device acquires an ultrasound image and sends the ultrasound data corresponding to the ultrasound image to a cloud server, so that the cloud server performs recognition processing on at least one frame of the ultrasound image to determine the cross-sectional type of the ultrasound image. The ultrasound device automatically associates the ultrasound image with the corresponding standard cross-section in the target workflow protocol based on the recognition processing result received from the cloud server, and displays the ultrasound cross-sectional image and its corresponding standard cross-sectional information as the ultrasound cross-sectional image corresponding to the corresponding standard cross-section. In this embodiment, the ultrasound device interacts with the cloud server by uploading ultrasound data corresponding to the ultrasound image and receiving the recognition and processing results of the ultrasound image. The cloud server is used to identify the section type of the ultrasound data. Because the cloud server has abundant computing resources, it not only has a higher accuracy rate in section type identification compared to the local identification scheme of the ultrasound device, but also has higher efficiency and shorter processing time. The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol by receiving the recognition and processing results from the cloud server, which significantly improves the doctor's work efficiency, optimizes the scanning process, and reduces section omissions or errors caused by human factors, ensuring the accuracy and completeness of the examination. Furthermore, this method adapts to the doctor's personalized operating habits, eliminating the need to scan sections according to the specified order of the ultrasound imaging workflow, thus catering to the doctor's individual needs and improving the doctor's operating experience. Attached Figure Description

[0127] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0128] Figure 1 This is a schematic diagram of the structure of an ultrasonic imaging workflow system according to an embodiment of this application;

[0129] Figure 2 This is a flowchart of a processing method for an ultrasound imaging workflow provided in one embodiment of this application;

[0130] Figure 3 This is a flowchart of a processing method for an ultrasound imaging workflow provided in another embodiment of this application;

[0131] Figure 4 This is a schematic diagram of the display interface of an ultrasonic device provided in one embodiment of this application;

[0132] Figure 5 This is a schematic diagram of the display interface of an ultrasound device provided in another embodiment of this application;

[0133] Figure 6is a flowchart of a processing method of an ultrasound imaging workflow provided by another embodiment of the present application;

[0134] Figure 7 is a schematic diagram of a display interface of a terminal device provided by another embodiment of the present application;

[0135] Figure 8 is a flowchart of a processing method of an ultrasound imaging workflow provided by another embodiment of the present application;

[0136] Figure 9 is a flowchart of a processing method of an ultrasound imaging workflow provided by another embodiment of the present application;

[0137] Figure 10 is a flowchart of a processing method of an ultrasound imaging workflow provided by another embodiment of the present application;

[0138] Figure 11 is a flowchart of a processing method of an ultrasound imaging workflow provided by another embodiment of the present application;

[0139] Figure 12 is a flowchart of a processing method of an ultrasound imaging workflow provided by another embodiment of the present application;

[0140] Figure 13 is a structural schematic diagram of an ultrasound imaging system provided by an embodiment of the present application;

[0141] Figure 14 is a flowchart of an ultrasound imaging method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0142] The present application will be further described below in conjunction with the accompanying drawings and specific embodiments. The described embodiments should not be regarded as limiting the present application, and all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present application.

[0143] In the following description, "some embodiments" are related to a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0144] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0145] The terms "first", "second", "third", "fourth" and the like in the description of the application and in the claims of the foregoing application, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of the terms so construed can be interchanged, such that the embodiments of the application could be ordered in other sequences than the one depicted or described herein. Further, the terms "comprise", "comprising", "include", "including", and the like, are meant to encompass non-exclusive inclusions, such that processes, methods, articles, or apparatuses that comprise, include, or the like, a list of steps or elements are not necessarily limited to those steps or elements, but can include other not expressly listed steps or elements.

[0146] It should be understood that, in the present application, "at least one" means one or more, and "multiple" means two or more. "And / or" is used to describe the relationship between the associated objects, which means that there can be three relationships, for example, "A and / or B" can mean that there are three cases of only A, only B, and A and B at the same time, where A and B can be singular or plural. The character " / " generally represents that the associated objects before and after are in an "or" relationship. "At least one of the following" or the like means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can mean a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0147] It should be understood that in the description of the embodiments of the present application, the meaning of multiple (or multiple items) is two or more, greater than, less than, more than, etc. are not included in the number, above, below, etc. are understood to include the number.

[0148] Reference Figure 1 , Figure 1Fig. 1 is a schematic diagram of an ultrasound imaging workflow system 10 for implementing the processing method of the ultrasound imaging workflow of the embodiments of the present application, which comprises an ultrasound device 110 and a cloud server 120. The ultrasound device 110 can comprise an ultrasound probe 111, a transmitting and receiving circuit 112, a beamforming and signal processing module 113, a processor 114, a transmission module 115, and a display device 116. In the ultrasound imaging workflow system 10, the ultrasound device 110 excites the ultrasound probe 111 to emit ultrasonic waves to a target to be detected through the transmitting and receiving circuit 112, receives ultrasonic echoes of the ultrasonic waves returned from the target to be detected, obtains an ultrasonic echo signal, and performs beamforming and signal processing on the echo signal in the beamforming and signal processing module 113 to obtain an ultrasound image. The transmission module 115 is controlled by the processor 114 to transmit the ultrasound data corresponding to the ultrasound image to the cloud server 120. The cloud server 120 performs recognition processing on the ultrasound data to determine the section type of the ultrasound image. The processor 114 automatically associates the ultrasound image to a corresponding standard section in a target workflow protocol according to the section type of the ultrasound image, and stores the ultrasound section image corresponding to the corresponding standard section in the memory (not shown in the figure) of the cloud server 120. These ultrasound section images can be displayed on the display device 116 with a human-computer interaction device. The target workflow protocol comprises a preset group of standard sections, which can also be pre-stored in the memory of the cloud server 120.

[0149] In the embodiments of the present application, the display device 116 of the ultrasound imaging workflow system 10 can be a touch display screen, a liquid crystal display screen, or a separate display device such as a liquid crystal display, a television, etc. independent of the ultrasound imaging workflow system 10, or a display screen on a mobile phone, a tablet computer, etc. electronic device. In addition, in the embodiments of the present application, the memory of the ultrasound imaging workflow system 10 can be a flash memory card, a solid-state memory, a hard disk, etc. non-volatile storage medium. In an embodiment, the display device 116 provides a human-computer interaction device to interact with the user, for example, to receive the ultrasonic wave scanning operation instruction input by the user. The human-computer interaction device is used for human-computer interaction, i.e. receiving the input of the user and outputting visual information; the input of the user can be received by a keyboard, an operation button, a mouse, a trackball, etc. or a touch screen integrated with the display device 116.

[0150] It should be noted that, Figure 1 the structure shown in Fig. 1 can include more or fewer components than those shown, or have a different configuration of components than those shown. Figure 1 The components shown in Fig. 1 can be implemented in hardware and / or software. Figure 1 Figure 1 The components shown in Fig. 1 can be implemented in hardware and / or software.

[0151] The components shown in Fig. 1 can be implemented in hardware and / or software. Figure 1 ​A structural schematic diagram of an ultrasound imaging workflow system 10 is shown, referring to Figure 2 , Figure 2 A flow chart of a processing method S200 of an ultrasound imaging workflow of one embodiment of the present application is shown, which can be performed by the ultrasound device 110 of the ultrasound imaging workflow system 10 shown, and the method includes but is not limited to the following steps S210 to S240: Figure 1

[0152] Step S210, at least one frame of ultrasound image is acquired, and the at least one frame of ultrasound image is sent to a cloud server to make the cloud server perform identification processing on the at least one frame of ultrasound image, and then determine the section type of the ultrasound image.

[0153] In this step, in the case that the ultrasound device acquires at least one frame of ultrasound image, the single frame of ultrasound image is sent to the cloud server, and the cloud server is used to perform identification processing to automatically identify the section type of the ultrasound image. The section type is a specific anatomical structure section of the organ or tissue of the ultrasound image. Different section types can show different structures and characteristics of the organ or tissue, such as heart section, liver section, etc. In step S210, the identification processing on the cloud server determines the section type of the ultrasound image by combining a standard section database and using a pre-trained machine learning model or deep learning algorithm. By distinguishing the characteristics or rules of different section types, the input ultrasound image is classified and identified according to the learned characteristics or rules.

[0154] In one embodiment, the database is constructed by collecting a large number of standard section samples. For example, a full-supervised learning method is used, each sample is composed of a standard ultrasound section image and the section type corresponding to the image, or a semi-supervised learning method is used, part of the samples are composed of a standard ultrasound section image and the section type corresponding to the image, and the other part of the samples only has a standard ultrasound section image. In another embodiment, the standard section database can also store samples suitable for full-supervised learning method and semi-supervised learning method at the same time.

[0155] ​It should be noted that in the identification processing, the machine learning algorithm or the deep learning algorithm can also be used to learn the characteristics or rules in the standard section database that can distinguish different section types, so as to realize the identification of the ultrasound image. Specifically, a feature extraction method can be used to extract the features of the section, and the feature extraction method can be a conventional digital image processing feature extraction method, such as a principal component analysis (PCA) algorithm, a linear discriminant analysis (LDA) algorithm, a Harr feature, a texture feature, etc. The feature extraction method can also use a deep learning method to learn the section features of the constructed standard section database through stacked convolutional layers, pooling layers, activation layers, and fully connected layers; common deep learning networks include convolutional neural networks (CNN), ResNet residual networks, MobileNet lightweight convolutional neural networks, VGG convolutional neural networks, Inception networks, DenseNet networks, etc. In an embodiment, after feature extraction, the section features in the standard section database need to be combined for classification and judgment, such as using K nearest neighbor (K□Nearest Neighbor, KNN) classification algorithm, support vector machine (Support Vector Machine, SVM) algorithm, random forest, neural network, etc. to classify the extracted section features, and determine which category of standard section and / or the probability of belonging to the standard section the current processed ultrasound image belongs to. Further, the classification and judgment can output the probability of the current ultrasound image belonging to each section type.

[0156] Step S220, receiving the section type of the ultrasound image fed back by the cloud server.

[0157] In this step, when the cloud server identifies the section type of at least one frame of ultrasound image, the section type is fed back to the ultrasound device.

[0158] Step S230, automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, as the ultrasound section image corresponding to the corresponding standard section, wherein the target workflow protocol includes a preset group of standard sections.

[0159] In this step, the ultrasound device automatically associates the ultrasound image and the corresponding standard section in the target workflow protocol according to the section type of the currently identified ultrasound image, wherein the target workflow protocol includes a set of standard sections that are pre-set, and the target workflow protocol can be a standard protocol for guiding a user to complete a certain type of ultrasound examination, such as an abdominal ultrasound examination, a cardiac ultrasound examination, a fetal ultrasound examination, etc. Through the target workflow protocol, the basic sections, optional sections, etc. that should be included in a certain examination can be specified. Specifically, if the identified ultrasound image belongs to the standard section in the target workflow protocol, the ultrasound image is matched with the standard section in the target workflow protocol, which can reduce the influence of human factors on the scanning result and improve the accuracy and reliability of diagnosis.

[0160] In an embodiment, if the identified ultrasound image does not belong to the standard section in the target workflow protocol, a prompt information of matching failure is returned. The standard section is pre-set in the target workflow protocol and can be a representative ultrasound section image or an ultrasound section image that is certified by a medical expert and can clearly show a specific organ or tissue structure.

[0161] In step S240, the ultrasound section image and the corresponding standard section information are displayed.

[0162] In this step, when a doctor needs to view a certain ultrasound section image and the corresponding standard section information, the ultrasound device can load the corresponding data from the memory of the cloud server according to the received operation instruction, so as to display the ultrasound section image and the corresponding standard section information obtained through automatic association on the display device connected with the ultrasound device or an integrated display device, effectively enhancing the intuitiveness of section image display and improving the work efficiency of ultrasound scanning.

[0163] The processing method S200 of the ultrasound imaging workflow provided in the embodiments of the present application is that the ultrasound device sends at least one frame of ultrasound image to the cloud server, so that the cloud server identifies and processes the at least one frame of ultrasound image obtained by the ultrasound device and determines the section type of the ultrasound image, the ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image fed back by the cloud server, as the ultrasound section image corresponding to the corresponding standard section, and displays the ultrasound section image and the corresponding standard section information.

[0164] In the embodiment of the present application, the ultrasound device interacts with the cloud server by uploading the ultrasound image and receiving the section type of the ultrasound image, and the cloud server is used to identify the section type of the ultrasound image. Since the identification computing resources are deployed in the cloud server, the accuracy of the section type identification is high, and the efficiency of the identification processing is high, and the time of the identification processing is short, compared with the local identification scheme of the ultrasound device. The ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol by the section type fed back by the cloud server, which can significantly improve the work efficiency of the doctor, optimize the scanning process, reduce the section omission or error caused by human factors, and ensure the accuracy and integrity of the examination. In addition, the method also adapts to the personalized operation habits of doctors, and does not need to scan the section according to the specified order of the ultrasound imaging workflow, which takes into account the personalized needs of doctors and improves the operation experience of doctors.

[0165] In an embodiment, the section type of the ultrasound image fed back by the cloud server in the above step S220 includes but is not limited to the following steps:

[0166] In step S221, the section type and the matching degree of the plurality of ultrasound images fed back by the cloud server are received, wherein the matching degree is determined by the cloud server by comparing the ultrasound image with the corresponding standard section.

[0167] In this step, the ultrasound device can receive the section type and the corresponding matching degree of the plurality of ultrasound images fed back by the cloud server. By comparing the ultrasound image with the corresponding standard section in the cloud server, the matching degree between the two can be determined, wherein the standard section corresponding to the ultrasound image can be pre-stored.

[0168] In an embodiment, the step S230 of automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image includes but is not limited to the following steps:

[0169] In step S231, the ultrasound image is automatically associated to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image. When at least two ultrasound images in the plurality of ultrasound images correspond to the same section type, the ultrasound image specified by the user or the ultrasound image with the highest matching degree is associated to the corresponding standard section in the target workflow protocol, and is used as the ultrasound section image corresponding to the corresponding standard section.

[0170] In this step, for the identification and processing of multiple ultrasound images, two adjacent ultrasound images may have similar content and are usually determined to be of the same section type. Therefore, the ultrasound image with the highest matching degree can be automatically selected and associated with the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the standard section, thus improving the doctor's work efficiency. In another embodiment, the ultrasound device can also respond to the user's manual selection command, allowing the user to specify the ultrasound image with the highest matching degree as the ultrasound section image corresponding to the standard section and store it. This simplifies the operation of ultrasound section image matching, reduces the doctor's workload, and effectively improves the work efficiency of ultrasound examination.

[0171] In one embodiment, the section type of the ultrasound image received from the cloud server in step S220 above includes, but is not limited to, the following steps:

[0172] Step S222: Receive the section type and matching degree of multiple ultrasound images fed back by the cloud server, wherein the matching degree is determined by the cloud server based on the comparison of the ultrasound image with its corresponding standard section.

[0173] For specific implementation methods in this step, please refer to any embodiment of step S221 above, which will not be repeated here.

[0174] In one embodiment, such as Figure 3 As shown, in step S230 above, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, serving as the ultrasound section image corresponding to the corresponding standard section, including but not limited to the following steps:

[0175] Step S232: Compare the matching degree of the ultrasound image with the preset matching degree conditions.

[0176] In this step, after the ultrasound equipment receives the section types and matching degrees of multiple ultrasound images from the cloud server, it can compare the matching degree of each ultrasound image with preset matching degree conditions to determine the ultrasound images that meet the preset matching degree conditions. It should be understood that appropriate preset matching degree conditions can be set according to actual scanning needs.

[0177] Step S233: If the preset matching degree condition is met, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol, and used as the ultrasound section image corresponding to the standard section.

[0178] In this step, when the matching degree of the ultrasound image meets the preset matching degree conditions, the ultrasound device can automatically associate the ultrasound image with the corresponding standard section in the target workflow protocol. For example, when the matching degree is greater than 90%, the ultrasound image can be used as the ultrasound section image corresponding to the standard section.

[0179] Step S234, if the preset matching degree condition is not met, discard the current recognition processing result or store the ultrasound image into the candidate section storage area.

[0180] In this step, when the matching degree of the ultrasound image does not meet the preset matching degree condition, the ultrasound device can discard the recognition result of the current ultrasound image, or store the ultrasound image into the candidate section storage area and wait for re-comparison later. It can be understood that by comparing the matching degree of the ultrasound image with the preset matching degree condition, the ultrasound section image corresponding to the corresponding standard section and having high matching degree is screened out, which can reduce the time and effort of the doctor in processing the ultrasound image and improve the diagnosis efficiency.

[0181] In an embodiment, the at least one ultrasound image obtained in step S210 is one of:

[0182] at least one ultrasound image obtained by the user operating the ultrasound device;

[0183] at least one ultrasound image stored by the ultrasound device;

[0184] at least one ultrasound image or video stream data stored by a storage medium.

[0185] It can be understood that the ultrasound image can be obtained in various ways, for example, it can be a current single-frame ultrasound image saved by the user through real-time ultrasound scanning imaging operation, or it can be a plurality of ultrasound images imported into the ultrasound device and stored in advance, or it can be video stream data stored, wherein the video stream data includes a plurality of ultrasound images. For the import method, for example, optical disc can be used to import image data and video stream data, or U disk can be used to import image data and video stream data, or network mode can be used to receive image data and video stream data from the network, etc., and the embodiments of the present application are not limited thereto.

[0186] In an embodiment, the single-frame ultrasound image includes at least one ultrasound image information, wherein the at least one ultrasound image information includes at least one of:

[0187] B image information, blood flow image information, contrast image information, elasticity image information and photoacoustic image information.

[0188] It can be understood that the ultrasound device obtains different ultrasound images in different working modes. The working modes can be B mode, contrast mode, elasticity mode, or photoacoustic mode. Among them, the ultrasound images obtained by the ultrasound device and sent to the cloud server include B images reflecting the anatomical structure of the tissue, C images reflecting the anatomical structure of the tissue and blood flow information, and PW images reflecting Doppler spectrum images. Specifically, the B image is mainly an image reflecting the anatomical structure of the tissue, which is usually represented by gray scale or pseudo color. Through the B image, the tissue condition can be viewed, such as whether the tissue has a lesion, or the position of the blood vessel and other image information. The C image is mainly a color image reflecting blood flow. Through the C image, blood flow image information can be viewed. Because the C image is generally a superposition of the B image and the C image, when uploading the ultrasound image to the cloud, the B image information and the C image information are usually packaged and uploaded separately.

[0189] In an embodiment, in the step S210, obtaining at least one frame of ultrasound image and sending the at least one frame of ultrasound image to the cloud server includes but is not limited to the following steps:

[0190] In step S211, at least one frame of ultrasound image is obtained, and at least one kind of ultrasound image information corresponding to each frame of ultrasound image is integrated into an ultrasound image data file in a target format.

[0191] In step S212, the ultrasound image data file is sent to the cloud server.

[0192] It can be understood that for each frame of ultrasound image sent to the cloud server, in addition to the data of the image itself, at least one kind of ultrasound image information corresponding to each frame of ultrasound image needs to be extracted and integrated into an ultrasound image data file in a target format while saving the ultrasound image. The target format can be a data format used by a machine learning or deep learning model suitable for recognition processing of the cloud server. The ultrasound image information can be B image information, C image information, Doppler information, and the like. By integrating at least one kind of ultrasound image information corresponding to each frame of ultrasound image into an ultrasound image data file in a target format, more abundant and accurate training data can be provided for the recognition processing model deployed in the cloud server, which helps to improve the performance of the model in ultrasound image analysis, diagnosis, and the like, and further improves the accuracy and efficiency of the recognition processing.

[0193] In an embodiment, in the step S210, the cloud server performs recognition processing on the at least one frame of ultrasound image to determine the section type of the ultrasound image, including but not limited to the following steps:

[0194] In step S2101, the cloud server extracts at least one ultrasound image information from the ultrasound image data file, and performs recognition processing according to the extracted at least one ultrasound image information to determine the section type of the ultrasound image.

[0195] In this step, the ultrasound image information extracted by the cloud server from the ultrasound image data file can be C image information containing tissue anatomical structure features and blood flow information, blood flow image information of the direction and size of blood flow, etc. The ultrasound image information includes resolution, gray value distribution, texture features of a specific region, etc. of the ultrasound image, which is helpful to identify the section type of the ultrasound image. The specific recognition processing manner can refer to the introduction of any one of the embodiments of step S210 described above, and the content related to this step in any one of the embodiments of step S210 described above can be directly quoted in this step, which will not be repeated here.

[0196] In an embodiment, in step S240, displaying the ultrasound section image and the corresponding standard section information further includes but is not limited to the following steps S241 to S243:

[0197] In step S241, the ultrasound section image is stored in the standard section storage area.

[0198] In step S242, the thumbnail of the ultrasound section image and / or the standard section information in the standard section storage area are displayed.

[0199] In step S243, after obtaining the first selection instruction of the user selecting the ultrasound section image in the standard section storage area, the selected ultrasound section image and the corresponding standard section information are displayed.

[0200] It should be noted that after the ultrasound device stores the ultrasound section image corresponding to the standard section in the standard section storage area, the ultrasound section image and / or the standard section information in the standard section storage area can be displayed in the form of a thumbnail in the display device, and then the first selection instruction of the user selecting the ultrasound section image in the standard section storage area can be detected through the human-computer interaction device of the foregoing embodiments, and the selected ultrasound section image and the corresponding standard section information are displayed in the display device. Specifically, when the ultrasound device receives the first selection instruction, the selected ultrasound section image and the corresponding standard section information are displayed through the display device in response to the instruction, as shown in Figure 4 Figure 4 ​This diagram illustrates the ultrasound cross-sectional images included in an adult abdominal scan, including the long-axis section of the intrahepatic portal vein, the longitudinal section at the junction of the left hepatic vein and the inferior vena cava, the longitudinal section of the left lobe of the liver along the abdominal midline, and the long-axis section of the gallbladder. The displayed, associated, and matched standard section is the intrahepatic portal vein section. Thumbnails of the ultrasound cross-sectional images and / or standard section information can be displayed in a list format on the right side of the human-computer interface. The thumbnails can also display the section name and corresponding matching degree.

[0201] It should be understood that users can select the corresponding ultrasound section image and its corresponding standard section information through buttons, knobs or touch on the human-computer interaction interface. The ultrasound section image can be displayed in the center of the human-computer interaction interface at a normal size. The present application embodiment does not limit the display position of the ultrasound section image and the standard section information.

[0202] In one embodiment, step S240 above, which involves displaying an ultrasonic cross-sectional image and its corresponding standard cross-sectional information, further includes the following steps:

[0203] Step S244: Display the list of standard sections in the target workflow protocol, and highlight the standard sections corresponding to the ultrasonic section images in the section list.

[0204] The highlighted section includes at least one of the following:

[0205] Annotation display;

[0206] Highlight;

[0207] Color-coded display;

[0208] Fonts are displayed differently.

[0209] In this step, such as Figure 5 As shown, a display area for a list of facets can be partitioned off on the user interface of the display device. This area displays a list of standard facets from the target workflow protocol. For example, all defined standard facets can be listed in the left-hand area of ​​the user interface. Figure 5The "smart abdomen" in the current target workflow protocol name can include the portal vein long axis section, the right axillary line longitudinal section, the first hepatic portal section, and other standard sections. The section list can be sorted according to the name of the section or other logic. The doctor can quickly check and identify the standard section corresponding to the current ultrasound section image through the list. Further, the standard section corresponding to the ultrasound section image can be highlighted in the section list, for example, the standard section corresponding to the ultrasound section image obtained by association and matching is marked and displayed using "√" or other symbols, and the standard section corresponding to the currently selected ultrasound section image is displayed in a frame selection mark, or the name of the selected standard section can be highlighted, the name font can be bolded, the name text color can be changed, and other appropriate ways can be used to distinguish the standard section from other standard sections that are not selected, so that the doctor can quickly identify the standard section corresponding to the current ultrasound section image. By displaying the section list and highlighting the matching section, the difficulty of ultrasound scanning operation can be reduced, and the doctor can be more easily trained. In another embodiment, the standard section corresponding to the ultrasound section image can be highlighted in the section list by using multiple highlighting methods at the same time.

[0210] In an embodiment, in the step S220, the section type of the ultrasound image fed back by the cloud server further includes one of the following steps:

[0211] In step S2201, the section type, anatomical structure information and matching degree of the ultrasound image fed back by the cloud server are received.

[0212] In this step, when the cloud server identifies the section type of the ultrasound image, the cloud server can feed back the section type, anatomical structure information and matching degree of the ultrasound image to the ultrasound device, and then the ultrasound device can automatically associate the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type, anatomical structure information and matching degree, as the ultrasound section image corresponding to the corresponding standard section.

[0213] In step S2202, the section type and anatomical structure information of the ultrasound image fed back by the cloud server are received.

[0214] In this step, when the cloud server identifies the section type of at least one frame of ultrasound image, the cloud server can feed back the section type and anatomical structure information of the ultrasound image to the ultrasound device, and then the ultrasound device can automatically associate the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type and anatomical structure information, as the ultrasound section image corresponding to the corresponding standard section.

[0215] In step S2203, the section type and matching degree of the ultrasound image fed back by the cloud server are received.

[0216] In this step, when the cloud server identifies the section type of at least one frame of ultrasound image, the cloud server can feed back the section type of the ultrasound image and the matching degree to the ultrasound device, and then the ultrasound device can automatically associate the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type and the matching degree, as the ultrasound section image corresponding to the corresponding standard section.

[0217] It should be noted that the processing method S200 of the ultrasound imaging workflow of the embodiment of the present application further includes the following step S250:

[0218] Step S250, receiving the ultrasound image whose section type has been identified fed back by the cloud server.

[0219] In this step, the ultrasound device receives the section type of the ultrasound image fed back by the cloud server, and simultaneously receives the ultrasound image whose section type has been identified.

[0220] In an embodiment, in the step S210, the at least one frame of ultrasound image is acquired and sent to the cloud server, including the step S213:

[0221] Step S213, acquiring the at least one frame of ultrasound image and the corresponding target workflow protocol, and sending the at least one frame of ultrasound image and the workflow information of the target workflow protocol to the cloud server, wherein the target workflow protocol is selected by the user from a workflow protocol list, and the workflow protocol list is a list stored locally in the ultrasound device or a list acquired from the cloud server.

[0222] It can be understood that the ultrasound device can acquire the at least one frame of ultrasound image and the corresponding target workflow protocol, and send the ultrasound image and the workflow information of the target workflow protocol to the cloud server, so that the cloud server can guide the user to complete a certain type of ultrasound examination, such as abdominal ultrasound examination, cardiac color Doppler ultrasound, fetal ultrasound examination, etc., further, the user can operate the ultrasound device or the cloud server to select a suitable target workflow protocol from the workflow protocol list stored locally in the ultrasound device or the workflow protocol list acquired from the cloud server for section recognition processing, thereby improving the work efficiency of ultrasound scanning. It should be noted that the at least one frame of ultrasound image acquired by the user can be acquired based on the above target workflow protocol.

[0223] In an embodiment, the processing method S200 of the ultrasound imaging workflow of the embodiment of the present application further includes the following steps S260 to S290:

[0224] Step S260, acquiring the ultrasound image and the corresponding target section type specified by the user.

[0225] Step S270, the ultrasound image and the target section type are sent to the cloud server.

[0226] Step S280, the matching degree of the ultrasound image with the standard section and / or the ultrasound image with the matching degree meeting the preset matching condition is acquired through feedback of the cloud server.

[0227] Step S290, the ultrasound image and / or the matching degree is displayed.

[0228] In an embodiment, the user can specify the target section type on the ultrasound device when acquiring the ultrasound image according to the ultrasound scanning requirement, for example, the hepatic portal section, the portal vein section and the like of the liver, and then the acquired ultrasound image and the target section type are sent to the cloud server. Then, the cloud server uses the pre-trained image recognition algorithm or deep learning model to recognize and process the ultrasound image to determine the section type in the image. Further, the cloud server can compare the recognized section type with the target section type specified by the user to determine the matching degree. If the matching degree meets the preset matching condition, the ultrasound image can be used as the ultrasound section image corresponding to the corresponding standard section, and the ultrasound image and the matching degree are fed back to the ultrasound device. Finally, the ultrasound image and / or the matching degree are displayed on the ultrasound device. It should be understood that the user can specify the target section type according to the examination requirement to make the ultrasound examination more personalized and accurate, and the cloud server can quickly recognize the ultrasound image matching the standard section to improve the ultrasound scanning efficiency. Referring to Figure 6 , Figure 6 A flow chart of a processing method S300 of an ultrasound imaging workflow of an embodiment of the present application is shown, which can be implemented based on the ultrasound imaging workflow system 10 shown in Figure 1 The method includes but is not limited to the following steps S310 to S340:

[0229] Step S310, the ultrasound device acquires at least one frame of ultrasound image and sends the at least one frame of ultrasound image to the cloud server.

[0230] Step S320, the cloud server recognizes and processes the at least one frame of ultrasound image to determine the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device.

[0231] Step S330, the ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, as the ultrasound section image corresponding to the corresponding standard section, wherein the target workflow protocol includes a preset group of standard sections.

[0232] Step S340, the ultrasound device displays the ultrasound section image and the corresponding standard section information thereof.

[0233] It can be understood that the specific implementation of the processing method S300 of the ultrasound imaging workflow can refer to the introduction of any one of the embodiments of the processing method S200 of the ultrasound imaging workflow, and the content related to the method in any one of the above embodiments can be directly quoted in the method, which will not be repeated here.

[0234] The processing method S300 of the ultrasound imaging workflow provided in the embodiments of the present application, the ultrasound device of the ultrasound imaging workflow system 10 sends at least one frame of ultrasound image to the cloud server to make the cloud server identify and process the at least one frame of ultrasound image obtained by the ultrasound device and determine the section type of the ultrasound image, and the ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image fed back by the cloud server, as the ultrasound section image corresponding to the corresponding standard section, and displays the ultrasound section image and the corresponding standard section information.

[0235] In the embodiments of the present application, the ultrasound device realizes interaction with the cloud server by uploading the ultrasound image and receiving the section type of the ultrasound image, and identifies the section type of the ultrasound image by using the cloud server. Since the identification computing resources are deployed in the cloud server, the accuracy of the section type identification is high, the efficiency of the identification processing is high, and the identification processing time is short compared with the local identification scheme of the ultrasound device. The ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type fed back by the cloud server, which can significantly improve the work efficiency of the doctor, optimize the scanning process, reduce the section omission or error caused by human factors, and ensure the accuracy and integrity of the examination. In addition, the method also adapts to the personalized operation habits of the doctor, does not need to scan the section according to the specified order of the ultrasound imaging workflow, takes care of the personalized needs of the doctor, and improves the operation experience of the doctor.

[0236] In an embodiment, in the step S320, the cloud server identifies and processes the at least one frame of ultrasound image, determines the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, including but not limited to the following steps:

[0237] In step S321, the cloud server identifies and processes the at least one frame of ultrasound image, determines the section type of the ultrasound image and the matching degree of the ultrasound image and the standard section, and feeds back the section type of the ultrasound image and the matching degree to the ultrasound device.

[0238] In this step, the specific implementation can refer to any one of the above embodiments of step S221, and the content related to this step in any one of the above embodiments of step S221 can be directly quoted in this step, which will not be repeated here.

[0239] In an embodiment, the step S330 further comprises the following steps:

[0240] The step S331 comprises the following steps:

[0241] In the step, the detailed description can refer to any one of the embodiments of the step S231, and the content related to the step S231 can be directly quoted in the step, which will not be repeated here.

[0242] In another embodiment, the step S330 further comprises the following steps:

[0243] The step S332 comprises the following steps:

[0244] In the step, the detailed description can refer to any one of the embodiments of the step S232, which will not be repeated here.

[0245] The step S333 comprises the following steps:

[0246] In the step, the detailed description can refer to any one of the embodiments of the step S233, which will not be repeated here.

[0247] The step S334 comprises the following steps:

[0248] In the step, the detailed description can refer to any one of the embodiments of the step S234, which will not be repeated here.

[0249] In an embodiment, the step S320 further comprises the following steps S322 and S323:

[0250] The step S322 comprises the following steps:

[0251] In step S323, if at least two ultrasound images correspond to the same type of section, the ultrasound image with the highest matching degree is selected as the target ultrasound image, and the type of section of the target ultrasound image is fed back to the ultrasound device, or the type of section of the target ultrasound image and the matching degree thereof are fed back.

[0252] It can be understood that, when the cloud server performs the recognition processing on the plurality of ultrasound images, two adjacent ultrasound images may have similar contents and are usually determined as the same type of section. Therefore, the cloud server can automatically select a frame of ultrasound image with the highest matching degree and associate the ultrasound image with the corresponding standard section in the target workflow protocol as the target ultrasound image, and output the target ultrasound image to the ultrasound device, while feeding back the type of section of the target ultrasound image or the type of section of the target ultrasound image and the matching degree thereof. In this way, the operation mode of ultrasound section image matching is simplified, the working intensity of the doctor is reduced, and the working efficiency of the ultrasound examination is effectively improved.

[0253] In an embodiment, the processing method S300 of the ultrasound imaging workflow of the embodiment further includes the following steps S350 to S360:

[0254] In step S350, the cloud server further automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the type of section of the ultrasound image, and stores the ultrasound image as the ultrasound section image corresponding to the corresponding standard section in the cloud server.

[0255] In step S360, the terminal device accesses the cloud server to obtain the ultrasound section image and the associated standard section information stored in the cloud server, and displays the ultrasound section image and the corresponding standard section information on the terminal device.

[0256] It can be understood that the cloud server can store the ultrasound section image matched with the standard section in a specified position, and the user can access the stored ultrasound section image through the interface or platform provided by the cloud server. Specifically, the terminal device can be used to access the cloud server to obtain the ultrasound section image and the associated standard section information stored in the cloud server, and finally the displayed ultrasound section image and the corresponding standard section information can be viewed on the terminal device, so that the user can review the section recognition result of the ultrasound image at any time and in any place.

[0257] In an embodiment, the terminal device can be a mobile terminal, a local computer terminal, or an ultrasound device, etc. For example, a user can access through a client on the mobile terminal connected with the cloud server, and log in by inputting a username and password, then select or search for the ultrasound section image and the corresponding standard section information to be viewed, send a data request to the cloud server through the client, and request to obtain the corresponding ultrasound section image and the corresponding standard section information. Further, after receiving the data request, the cloud server searches for the corresponding ultrasound section image and the standard section information according to the parameters (such as patient ID, examination date, etc.) in the request, then packs the found data into a response data packet, and sends it back to the mobile terminal. When the mobile terminal receives the response data packet from the cloud server, the ultrasound section image and the standard section information are parsed, and finally the ultrasound section image and the corresponding standard section information are displayed on the human-computer interaction interface or the display interface of the mobile terminal. It should be noted that the user can interact through the interface on the terminal device, such as zooming in, zooming out, rotating to view the ultrasound section image, or further viewing the corresponding standard section information by clicking the thumbnail of the ultrasound section image.

[0258] In an embodiment, in the step S320, the cloud server performs recognition processing on the at least one frame of ultrasound image to determine the section type of the ultrasound image, and further includes the following steps:

[0259] In step S324, the cloud server performs recognition processing on the at least one frame of ultrasound image to determine the section type of the ultrasound image, the anatomical structure information, and the matching degree of the ultrasound image and the standard section.

[0260] In this step, the cloud server performs recognition processing on the at least one frame of ultrasound image to determine the section type of the ultrasound image, and can also recognize the anatomical structure in the ultrasound image. For example, for a liver ultrasound image, the anatomical structure information such as intrahepatic ducts and liver lobes of each section of the liver can be recognized and obtained. Further, the cloud server can determine the matching degree of the ultrasound image by comparing the ultrasound image with its corresponding standard section.

[0261] In an embodiment, the processing method S300 of the ultrasound imaging workflow of the present application further includes the following steps:

[0262] In step S370, the terminal device further obtains the anatomical structure information and the matching degree of the ultrasound section image through the cloud server, and displays the anatomical structure information and the matching degree of the ultrasound section image on the terminal device.

[0263] In this step, the user can use the terminal device to access the cloud server, after verifying the identity and logging in, select or search the ultrasound section image and its anatomical structure information and matching degree that need to be viewed, send a data request to the cloud server through the client, and request to obtain the corresponding ultrasound section image and its anatomical structure information and matching degree. Further, after the cloud server receives the data request, the corresponding ultrasound section image and anatomical structure information and matching degree are found according to the parameters (such as patient ID, examination date, etc.) in the request, then the found data is packaged into a response data packet, and sent back to the terminal device. When the terminal device receives the response data packet of the cloud server, the ultrasound section image and anatomical structure information and matching degree are parsed, and the operation instruction input by the user is responded to, and the ultrasound section image and its anatomical structure information and matching degree are displayed on the display interface of the terminal device. The terminal device can receive the operation instruction of the user by using a keyboard, an operation button, a mouse, a trackball, etc., or by using a touch screen integrated with the terminal device. For example, Figure 7 Figure 7 Currently displayed is the recognition and analysis result of the portal vein long axis section in the adult abdominal ultrasound scan, the ultrasound section image is displayed in the left area of the display interface of the terminal device, and the anatomical structure information and the matching degree are displayed in the right area, which also includes that the score of the section recognition is "5 points" (full score 10 points), and the section quality evaluation is "not standard".

[0264] In an embodiment, the single-frame ultrasound image includes at least one type of ultrasound image information; the terminal device accesses the cloud server to obtain the ultrasound section image and its associated standard section information stored in the cloud server in step S360, including the following steps:

[0265] In step S361, the terminal device accesses the cloud server.

[0266] In step S362, the cloud server responds to the access of the terminal device, obtains at least one type of ultrasound image information corresponding to the ultrasound image, and generates an ultrasound section image according to the at least one type of ultrasound image information, and sends the ultrasound section image and its associated standard section information to the terminal device.

[0267] ​Understandably, the cloud server receives access requests from terminal devices and, based on the requests, retrieves at least one type of ultrasound image information from ultrasound images. Then, based on the extracted ultrasound image information, the cloud server uses image processing algorithms or deep learning models to generate ultrasound cross-sectional images, such as image enhancement, noise suppression, and edge detection algorithms, to optimize the display effect of the ultrasound cross-sectional images. Finally, the cloud server sends the ultrasound cross-sectional images and their associated standard cross-sectional information to the terminal device. For example, the generated ultrasound cross-sectional images and their associated standard cross-sectional information can be packaged into a response data packet and then sent back to the terminal device so that users can review the ultrasound scan results at any time, thereby optimizing the diagnostic process and improving work efficiency.

[0268] In one embodiment, ultrasound cross-sectional images and their associated standard cross-sectional information stored in a cloud server can be displayed in real time on an ultrasound device and can also be accessed and viewed simultaneously by multiple users using terminal devices, which promotes the sharing and exchange of ultrasound scan data and helps improve the overall quality of medical services.

[0269] In one embodiment, step S340, in which the ultrasound device displays an ultrasound cross-sectional image and its corresponding standard cross-sectional information, includes at least one of the following steps S341 to S342:

[0270] Step S341: The ultrasound device displays the matching degree of the ultrasound cross-sectional image.

[0271] Step S342: The ultrasound device marks the location of at least one anatomical structure in the ultrasound cross-sectional image based on the anatomical structure information.

[0272] Step S343: The ultrasound device displays prompts for missing anatomical structures in the current ultrasound cross-sectional image based on the anatomical structure information.

[0273] Understandably, when the ultrasound equipment receives an ultrasound scanning command, it responds to the command and displays the selected ultrasound section image and its matching degree through a display device. For example... Figure 4 As shown, Figure 4 This diagram illustrates an ultrasound cross-sectional image included in an adult abdominal scan, with the matching degree of the ultrasound cross-sectional image displayed as "70%" in the left region showing the current ultrasound cross-sectional image.

[0274] An embodiment of the present application further provides an ultrasound imaging workflow system 20, which comprises an ultrasound device 210 and a cloud server 220, wherein the ultrasound device 210 can comprise an ultrasound probe 211, a transmitting and receiving circuit 212, a beamforming and signal processing module 213, a processor 214, a transmission module 215 and a display device 216, and the constituent structures of the ultrasound imaging workflow system 20 are the same as those of the ultrasound imaging workflow system 10. In the ultrasound imaging workflow system 20, the ultrasound device 210 excites the ultrasound probe 211 to emit ultrasonic waves to a target to be detected through the transmitting and receiving circuit 212, receives ultrasonic echoes of the ultrasonic waves returned from the target to be detected, obtains an ultrasonic echo signal, and sends the ultrasonic echo signal to the beamforming and signal processing module 213 for beamforming and signal processing to obtain an ultrasonic image. The processor 214 controls the transmission module 215 to send ultrasonic data corresponding to the ultrasonic image to the cloud server 220. It should be noted that the difference between the ultrasound imaging workflow system 20 and the ultrasound imaging workflow system 10 is that the cloud server 220 performs identification processing on the ultrasonic data, determines the section type of the ultrasonic image, and feeds back the identification processing result to the ultrasound device 210 according to the section type of the ultrasonic image; the ultrasound device 210 can also automatically associate the ultrasonic image to a corresponding standard section in a target workflow protocol according to the identification processing result, as an ultrasonic section image corresponding to the corresponding standard section, and display the ultrasonic section image and the standard section information corresponding thereto through the display device 216, wherein the target workflow protocol comprises a preset group of standard sections, which can be pre-stored in the memory of the cloud server 220. It should be noted that the implementation of each component of the ultrasound imaging workflow system 20 can refer to the related content involved in the foregoing ultrasound imaging workflow system 10, and will not be described in detail here.

[0275] Referring to Figure 8 , Figure 8 A flowchart of an ultrasound imaging workflow processing method S400 of an embodiment of the present application is shown, which can be performed by the ultrasound device 210 of the ultrasound imaging workflow system 20 of the foregoing embodiment, and the method comprises but is not limited to the following steps S410 to S440:

[0276] In step S410, an ultrasonic image is obtained, and ultrasonic data corresponding to the ultrasonic image is sent to a cloud server to enable the cloud server to perform identification processing on at least one frame of ultrasonic image, and further determine the section type of the ultrasonic image.

[0277] In this step, after the ultrasound device acquires the ultrasound image, the ultrasound data corresponding to the ultrasound image is sent to the cloud server, so that the cloud server can perform recognition processing to automatically identify the section type of the ultrasound image. The section type is a specific cross-section of an organ or tissue of the ultrasound image. Different section types can show different structures and characteristics of the organ or tissue, such as a heart section, a liver section, etc. It should be understood that the specific section recognition processing method can refer to any one of the embodiments of step S210 described above, and will not be described here.

[0278] In step S420, the cloud server feeds back the recognition processing result according to the section type.

[0279] In this step, after the cloud server identifies the section type of the ultrasound image, the ultrasound device can accept the recognition processing result fed back by the cloud server according to the section type.

[0280] In step S430, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol according to the recognition processing result, as the ultrasound section image corresponding to the corresponding standard section, wherein the target workflow protocol includes a preset group of standard sections.

[0281] In this step, the ultrasound device can automatically associate the ultrasound image with the corresponding standard section in the target workflow protocol according to the received recognition processing result. The specific implementation of automatically associating the standard section can refer to any one of the embodiments of step S230 described above, and the content related to this step in any one of the embodiments of step S230 described above can be directly quoted in this step, and will not be described here.

[0282] In step S440, the ultrasound section image and the corresponding standard section information are displayed.

[0283] In this step, the specific implementation can refer to any one of the embodiments of step S240 described above, and will not be described here.

[0284] The processing method S400 of the ultrasound imaging workflow provided in the embodiments of the present application is that the ultrasound device acquires an ultrasound image and sends ultrasound data corresponding to the ultrasound image to a cloud server, so that the cloud server performs recognition processing on at least one frame of ultrasound image to determine the section type of the ultrasound image. The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the recognition processing result fed back by the cloud server, as the ultrasound section image corresponding to the corresponding standard section, and displays the ultrasound section image and the corresponding standard section information.

[0285] The ultrasound device in the embodiments of the present application realizes interaction with the cloud server by uploading the ultrasound data corresponding to the ultrasound image and receiving the recognition processing result of the ultrasound image, and uses the cloud server to realize recognition of the section type of the ultrasound data. Since the recognition computing resources are rich in the cloud server, compared with the local recognition scheme of the ultrasound device, the accuracy of the section type recognition is high, the efficiency of the recognition processing is high, and the time of the recognition processing is short. The ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol by using the recognition processing result fed back by the cloud server, which can significantly improve the work efficiency of the doctor, optimize the scanning process, reduce the section omission or error caused by human factors, and ensure the accuracy and integrity of the examination. In addition, the method also adapts to the personalized operation habits of the doctor, and does not need to scan the section according to the specified order of the ultrasound imaging workflow, which takes care of the personalized needs of the doctor and improves the operation experience of the doctor.

[0286] In an embodiment, the ultrasound data is image data of the ultrasound image or ultrasound wave echo data corresponding to the ultrasound image.

[0287] After the ultrasound device obtains the ultrasound image, the image data or the ultrasound wave echo data corresponding to the ultrasound image is sent to the cloud server, so that the cloud server performs recognition processing on at least one frame of the ultrasound image, and then determines the section type of the ultrasound image.

[0288] In an embodiment, the recognition processing result includes section type information recording the section type of the ultrasound image; and the step S430 of automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol according to the recognition processing result as the ultrasound section image corresponding to the corresponding standard section includes but is not limited to the following steps:

[0289] Step S431, determining the section type of the ultrasound image according to the section type information in the recognition processing result, and automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the corresponding standard section according to the section type of the ultrasound image.

[0290] In this step, the ultrasound device can determine the section type of the ultrasound image according to the section type information in the recognition processing result, and then automatically associate the ultrasound image to the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the corresponding standard section according to the section type of the ultrasound image. The section type information can include ultrasound scanning position information, shape information of the anatomical structure in the section, etc.

[0291] In an embodiment, in the step S410, the ultrasound image is obtained, and the ultrasound data corresponding to the ultrasound image is sent to the cloud server, which further includes but is not limited to the following steps S411 to S412:

[0292] Step S411, obtaining the ultrasound image and its corresponding target section type specified by the user.

[0293] Step S412, sending the ultrasound data corresponding to the ultrasound image and the target section type to the cloud server.

[0294] It can be understood that the user can specify the target section type on the ultrasound device when obtaining the ultrasound image using the ultrasound device according to the ultrasound scanning requirements, for example, the hepatic portal section of the liver, the portal vein section, etc., and then send the collected ultrasound data corresponding to the ultrasound image and the target section type to the cloud server. After that, the pre-trained image recognition algorithm or deep learning model is used on the cloud server for recognition processing to determine the section type in the image. In an embodiment, the user can specify the target section type according to the examination requirements to make the ultrasound examination more personalized and accurate, and the cloud server can quickly identify the ultrasound image matching the standard section, thereby improving the ultrasound scanning efficiency.

[0295] It should be noted that the received recognition processing result includes the matching degree of the ultrasound image. The matching degree is obtained by the cloud server acquiring the ultrasound data corresponding to the ultrasound image and its target section type, matching the data of the standard section library corresponding to the ultrasound data and the target section type, and then determining the matching degree of the ultrasound image.

[0296] In an embodiment, the above step S430 further includes the following steps:

[0297] Step S432, comparing the matching degree of the ultrasound image with the preset matching degree condition.

[0298] In this step, any one of the embodiments of the above step S232 can be referred to, and details are not repeated here.

[0299] Step S433, if the preset matching degree condition is met, automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the corresponding standard section.

[0300] In this step, any one of the embodiments of the above step S233 can be referred to, and details are not repeated here.

[0301] Step S434, if the preset matching degree condition is not met, discarding the current recognition processing result or storing the ultrasound image in the candidate section storage area.

[0302] In this step, any one of the embodiments of the above step S234 can be referred to, and details are not repeated here.

[0303] In an embodiment, the identification processing result comprises the ultrasound image meeting the standard section requirement and / or the image ID information of the ultrasound image; further, the step S430 of automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol according to the identification processing result as the ultrasound section image corresponding to the corresponding standard section further comprises:

[0304] The step S435 of automatically associating the ultrasound image meeting the standard section requirement or the ultrasound image corresponding to the image ID information to the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the corresponding standard section.

[0305] In this step, the ultrasound device automatically associates the ultrasound image meeting the standard section requirement or the ultrasound image corresponding to the image ID information to the corresponding standard section in the target workflow protocol, thereby obtaining the ultrasound section image corresponding to the corresponding standard section. Compared with manual association, the automatic association of the standard section function can reduce matching errors and improve the accuracy of ultrasound scanning. It should be understood that the ultrasound image meeting the standard section requirement is pre-stored in the standard section database of the cloud server, and the automatic association can also be performed by extracting the standard section image ID information of each standard section in the standard section database.

[0306] In an embodiment, after the steps S411 and S412, the step S420 of receiving the identification processing result fed back by the cloud server according to the section type further comprises:

[0307] The step S421 of receiving the ultrasound image meeting the preset matching degree condition and / or the image ID information of the ultrasound image fed back by the cloud server, wherein the cloud server matches the data of the standard section library corresponding to the ultrasound data and the target section type according to the ultrasound data and the target section type, determines the matching degree of the ultrasound image, and further determines whether the ultrasound image meets the preset matching degree condition according to the matching degree.

[0308] In this step, if the matching degree of the ultrasound image meets the preset matching degree condition, the ultrasound image is automatically associated to the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the corresponding standard section; if the matching degree does not meet the preset matching degree condition, the current identification processing result is discarded or the ultrasound image is stored in the candidate section storage area, and then the comparison is performed again. It can be understood that by comparing the matching degree of the ultrasound image with the preset matching degree condition, the ultrasound section image corresponding to the corresponding standard section and having a high matching degree is selected, which can reduce the time and effort of the doctor in processing the ultrasound image and improve the diagnosis efficiency.

[0309] In an embodiment, in the step S410, the ultrasound image is acquired, and the ultrasound data corresponding to the ultrasound image is sent to the cloud server, which further includes but is not limited to the following steps S413 to S414:

[0310] In the step S413, the multiple frames of ultrasound images and the target section type specified by the user are acquired.

[0311] In the step S414, the ultrasound data corresponding to each of the multiple frames of ultrasound images and the target section type are sent to the cloud server.

[0312] It can be understood that a single frame of ultrasound image can be regarded as a special case of multiple frames of ultrasound images, and the steps S413 and S414 are preparation steps for automatic association of the sections of the multiple frames of ultrasound images. For specific implementation, reference can be made to any one of the embodiments of the steps S411 and S412 described above, and the content related to any one of the above steps can be directly quoted in the present step, which will not be described herein again.

[0313] In an embodiment, after the steps S413 and S414, the receiving cloud server according to the recognition processing result fed back by the section type in the step S420 further includes:

[0314] In the step S422, the ultrasound image and / or the image ID information of the ultrasound image meeting the standard section requirement fed back by the cloud server are received, wherein the cloud server matches the data of the standard section library corresponding to each of the ultrasound data and the target section type according to the ultrasound data corresponding to the multiple frames of ultrasound images and the target section type, determines the matching degrees of the ultrasound images, and selects the ultrasound image with the highest matching degree as the ultrasound image meeting the standard section requirement.

[0315] In the present step, when the cloud server performs the recognition processing on the multiple frames of ultrasound images, the ultrasound data of each of the ultrasound images needs to be matched with the data of the standard section library corresponding to the target section type, so there may be two adjacent ultrasound images with similar contents, which are usually determined as the same section type. The cloud server can automatically select a frame of ultrasound image with the highest matching degree to be associated with the corresponding standard section in the target workflow protocol as the ultrasound image meeting the standard section requirement, and output to the ultrasound device, thereby reducing the working intensity of the doctor and effectively improving the working efficiency of the ultrasound examination.

[0316] Referring to Figure 9 , Figure 9 A flow chart of a processing method S500 of an ultrasound imaging workflow according to an embodiment of the present application is shown, which can be performed by the cloud server 220 of the ultrasound imaging workflow system 20 according to the foregoing embodiments, and the method includes but is not limited to the following steps S510 to S520:

[0317] In step S510, the ultrasound data sent by the ultrasound device is received, where the ultrasound data corresponds to an ultrasound image acquired by the ultrasound device.

[0318] In this step, the cloud server can extract the ultrasound image obtained by the user operating the ultrasound device from the ultrasound data sent by the ultrasound device.

[0319] In step S520, the ultrasound data is identified to determine the section type of the ultrasound image, and the identification result is fed back to the ultrasound device according to the section type of the ultrasound image, so that the ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the identification result, as the ultrasound section image corresponding to the corresponding standard section, where the target workflow protocol includes a preset group of standard sections.

[0320] The processing method S500 of the ultrasound imaging workflow provided in the embodiments of the present application is that the cloud server receives the ultrasound data sent by the ultrasound device and identifies the ultrasound data, and then determines the section type of the ultrasound image, so that the ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the identification result fed back by the cloud server, as the ultrasound section image corresponding to the corresponding standard section, and displays the ultrasound section image and the corresponding standard section information.

[0321] In the embodiments of the present application, the cloud server interacts with the ultrasound device by receiving the ultrasound data corresponding to the ultrasound image uploaded by the ultrasound device and sending the identification result of the ultrasound image, and identifies the section type of the ultrasound data on the cloud server. Since the identification computing resources are rich in the cloud server, compared with the local identification scheme of the ultrasound device, the accuracy of the section type identification is high, the efficiency of the identification processing is high, and the identification processing time is short. The ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol by using the identification result fed back by the cloud server, which can significantly improve the work efficiency of the doctor, optimize the scanning process, reduce the section omission or error caused by human factors, and ensure the accuracy and integrity of the examination. In addition, this method also adapts to the personalized operation habits of doctors, and does not need to scan the section according to the specified order of the ultrasound imaging workflow, which takes into account the personalized needs of doctors and improves the operation experience of doctors.

[0322] In an embodiment, the ultrasound data is image data of the ultrasound image or ultrasound wave echo data corresponding to the ultrasound image.

[0323] The cloud server receives the image data or ultrasound wave echo data corresponding to the ultrasound image sent by the ultrasound device, and then identifies the image data or ultrasound wave echo data to determine the section type of the ultrasound image.

[0324] In an embodiment, the identification processing result comprises at least one of the following:

[0325] section type information indicating a section type of the ultrasound image section;

[0326] an ultrasound image meeting the standard section requirement;

[0327] image ID information of the ultrasound image meeting the standard section requirement.

[0328] In an embodiment, the receiving of the ultrasound data sent by the ultrasound device in step S510 comprises:

[0329] In step S511, the ultrasound data of at least one frame of ultrasound image sent by the ultrasound device and the target section type specified by the user are received.

[0330] In this step, the user can specify the target section type on the ultrasound device when using the ultrasound device to obtain the ultrasound image according to the ultrasound scanning requirement, such as the hepatic portal section, the portal vein section, etc. of the liver, and then sends the ultrasound data corresponding to the collected ultrasound image and the target section type to the cloud server. The cloud server receives the ultrasound data of at least one frame of ultrasound image sent by the ultrasound device and the target section type specified by the user, and then performs identification processing by using the pre-trained image recognition algorithm or deep learning model to determine the section type in the image. In an embodiment, the user can specify the target section type according to the examination requirement to make the ultrasound examination more personalized and accurate, and the cloud server can quickly identify the ultrasound image matching the standard section, thereby improving the ultrasound scanning efficiency.

[0331] In an embodiment, the identification processing of the ultrasound data in step S520 to determine the section type of the ultrasound image and the feedback of the identification processing result to the ultrasound device according to the section type of the ultrasound image comprise one of the following:

[0332] In step S521, the data of the standard section library corresponding to the ultrasound data and the target section type are matched to determine the matching degree of the ultrasound image, and the matching degree of the ultrasound image is fed back to the ultrasound device.

[0333] In this step, after receiving the ultrasound data sent by the ultrasound device, the cloud server can match the data of the standard section library corresponding to the ultrasound data and the target section type, such as comparing with the data of each standard section image in the standard section library, to determine the matching degree of the ultrasound image, and finally feed back the matching degree corresponding to the ultrasound image to the ultrasound device, so that the ultrasound device can screen out the ultrasound section image corresponding to the corresponding standard section and having high matching degree, thereby reducing the time and effort of the doctor in processing the ultrasound image and improving the diagnosis efficiency.

[0334] Step S522, according to the ultrasonic data and the data of the standard section library corresponding to the target section type, the matching degree of the ultrasonic image is determined, and the ultrasonic image and / or the image ID information of the ultrasonic image whose matching degree meets the preset matching degree condition is sent to the ultrasonic device.

[0335] In this step, the cloud server can also send the ultrasonic image and / or the image ID information of the ultrasonic image whose matching degree meets the preset matching degree condition to the ultrasonic device for further analysis or storage after determining the matching degree of the ultrasonic image.

[0336] Step S523, each ultrasonic data is matched with the data of the standard section library corresponding to the target section type, the matching degree of each ultrasonic image is determined, the ultrasonic image with the highest matching degree is selected as the ultrasonic image meeting the standard section requirement, and the ultrasonic device is fed back the ultrasonic image meeting the standard section requirement and / or the image ID information of the ultrasonic image.

[0337] In this step, the cloud server determines the matching degree of the ultrasonic image, and obtains the ultrasonic section image corresponding to the corresponding standard section and having a high matching degree through screening, and then feeds back the ultrasonic image meeting the standard section requirement and / or the image ID information of the ultrasonic image to the ultrasonic device, thereby reducing the time and effort of the doctor in processing the ultrasonic image and improving the diagnosis efficiency.

[0338] Reference Figure 10 , a flowchart of a processing method S600 of an ultrasonic imaging workflow of an embodiment of the present application is shown, which can be implemented based on the ultrasonic imaging workflow system 20 shown in Figure 2 , the method includes but is not limited to the following steps S610 to step S640:

[0339] Step S610, the ultrasonic device acquires the ultrasonic image and sends the ultrasonic data corresponding to the ultrasonic image to the cloud server.

[0340] Step S620, the cloud server identifies and processes the ultrasonic data, determines the section type of the ultrasonic image, and feeds back the identification processing result to the ultrasonic device according to the section type of the ultrasonic image.

[0341] Step S630, the ultrasonic device automatically associates the ultrasonic image to the corresponding standard section in the target workflow protocol according to the identification processing result, as the ultrasonic section image corresponding to the corresponding standard section, wherein the target workflow protocol includes a preset group of standard sections.

[0342] Step S640, the ultrasonic device displays the ultrasonic section image and the standard section information corresponding thereto.

[0343] It is understood that the ultrasonic imaging workflow processing method S600 has many similarities and contents to the ultrasonic imaging workflow processing methods S400 and S500 described above. For specific implementation methods, please refer to the description of any embodiment of the ultrasonic imaging workflow processing methods S400 and S500. The contents of any embodiment related to this method can be directly referenced in this method, and will not be repeated here.

[0344] In one embodiment, the ultrasound data is the image data of an ultrasound image or the ultrasound echo data corresponding to the ultrasound image.

[0345] The ultrasound equipment sends ultrasound image data or corresponding ultrasound echo data to the cloud server. The cloud server then processes the image data or ultrasound echo data to determine the cross-sectional type of the ultrasound image.

[0346] In one embodiment, the ultrasound data is the ultrasound echo data corresponding to the ultrasound image; in step S620, the cloud server performs identification processing on the ultrasound data, determines the cross-sectional type of the ultrasound image, and feeds back the identification processing result to the ultrasound device according to the cross-sectional type of the ultrasound image, including the following steps:

[0347] In step S621, the cloud server obtains an ultrasound image based on the ultrasound data, performs recognition processing on the ultrasound image, determines the cross-sectional type of the ultrasound image, and feeds back the recognition processing result to the ultrasound device based on the cross-sectional type of the ultrasound image.

[0348] In this step, the cloud service can extract image data of the ultrasound image or the corresponding ultrasound echo data from the ultrasound data. It can then generate an ultrasound image based on this image data or ultrasound echo data, thus fully utilizing the cloud server's computing resources and improving resource utilization. Specifically, an image reconstruction algorithm can be used on the cloud server to convert the image data or ultrasound echo data into an ultrasound image. This ultrasound image is then processed to determine its cross-sectional type, and the recognition result is fed back to the ultrasound equipment based on the cross-sectional type. It should be understood that the specific cross-sectional recognition processing method can be found in any embodiment of step S210 above, and will not be repeated here.

[0349] Reference Figure 11 , Figure 11 The flowchart illustrates a processing method S700 for an ultrasound imaging workflow according to an embodiment of this application. This method can be executed by the cloud server 220 of the ultrasound imaging workflow system 20 described in the foregoing embodiment. The method includes, but is not limited to, the following steps S710 to S730:

[0350] Step S710, receiving the ultrasound data sent by the ultrasound device, wherein the ultrasound data corresponds to the ultrasound image acquired by the ultrasound device.

[0351] In this step, the specific implementation can refer to any one of the embodiments of step S510 described above, and details are not repeated here.

[0352] Step S720, identifying the ultrasound data to determine the section type of the ultrasound image.

[0353] In this step, the specific implementation can refer to any one of the embodiments of step S520 described above, and details are not repeated here.

[0354] Step S730, automatically associating the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and storing the ultrasound section image corresponding to the corresponding standard section in the cloud server, wherein the target workflow protocol includes a preset group of standard sections.

[0355] In this step, the specific implementation can refer to any one of the embodiments of step S350 described above, and details are not repeated here.

[0356] Referring to Figure 12 , Figure 12 A flowchart of a processing method S800 of an ultrasound imaging workflow according to an embodiment of the present application is shown, which can be implemented based on the ultrasound imaging workflow system 20 shown in Figure 2 The method includes but is not limited to the following steps S810 to S830:

[0357] Step S810, the ultrasound device acquires an ultrasound image and sends the ultrasound data corresponding to the ultrasound image to the cloud server.

[0358] Step S820, the cloud server identifies the ultrasound data to determine the section type of the ultrasound image.

[0359] Step S830, the cloud server automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and stores the ultrasound section image corresponding to the corresponding standard section in the cloud server, wherein the target workflow protocol includes a preset group of standard sections.

[0360] It can be understood that the specific implementation of steps S810 to S830 can refer to any one of the embodiments of steps S350, S410 and S520 described above, and details are not repeated here.

[0361] In an embodiment, the processing method S800 of the ultrasound imaging workflow of the embodiment of the present application further includes at least one of the following steps:

[0362] Step S840, the terminal device accesses the cloud server to obtain the ultrasound section image and the associated standard section information stored in the cloud server, and displays the ultrasound section image and the corresponding standard section information on the terminal device.

[0363] In this step, the specific implementation can refer to any one of the embodiments of step S360 described above, which will not be repeated here.

[0364] Step S850, the terminal device obtains the target section type specified by the user, accesses the cloud server, finds the ultrasound section image matching the target section type in the cloud server, and displays the ultrasound section image on the terminal device.

[0365] In this step, the terminal device can be a mobile terminal, a local computer terminal, or an ultrasound device, etc. The user can specify the target section type on the terminal device when accessing the cloud server according to the ultrasound scanning requirements, such as the hepatic portal section of the liver, the portal vein section, etc. The terminal device accesses the cloud server after obtaining the target section type specified by the user, finds the ultrasound section image matching the target section type from the ultrasound section images stored in the cloud server which have been associated with the matching standard section, and finally displays the ultrasound section image and the corresponding standard section information on the terminal device, so that the user can review the section recognition result of the ultrasound image at any time and in any place.

[0366] In an embodiment, the cloud server of step S820 described above performs recognition processing on the ultrasound data to determine the section type of the ultrasound image, including:

[0367] Step S821, the cloud server performs recognition processing on the ultrasound data to determine the section type of the ultrasound image, as well as the anatomical structure information of the ultrasound image and / or the matching degree of the ultrasound image and the standard section.

[0368] In this step, the cloud server performs recognition processing on the ultrasound data to determine the section type of the ultrasound image, and can also identify the anatomical structure in the ultrasound image. Taking the liver ultrasound image as an example, the anatomical structure information of the intrahepatic duct and the liver lobe of each section of the liver can be identified. Further, the cloud server can determine the matching degree of the ultrasound image by comparing the ultrasound image with its corresponding standard section.

[0369] In an embodiment, the terminal device of step S840 described above accesses the cloud server to obtain the ultrasound section image and the associated standard section information stored in the cloud server, and displays the ultrasound section image and the corresponding standard section information on the terminal device, including the following steps:

[0370] In step S841, the terminal device accesses the cloud server to obtain the ultrasound section image and the associated standard section information stored in the cloud server, and the anatomical structure information and / or the matching degree of the ultrasound section image.

[0371] In step S842, the terminal device displays the ultrasound section image and the corresponding standard section information, and displays the anatomical structure information and / or the matching degree of the ultrasound section image.

[0372] It can be understood that the user can access the cloud server through the terminal device, and view the ultrasound section image and the corresponding standard section information on the cloud server, and also view the anatomical structure information and / or the matching degree of the ultrasound section image. The specific implementation of displaying the ultrasound section image and the corresponding standard section information, the anatomical structure information and / or the matching degree on the terminal device can refer to any one of the above-mentioned embodiments of steps S362 and S370, and the content related to the present step in any one of the above-mentioned embodiments of steps S362 and S370 can be directly quoted in the present step, which will not be described here.

[0373] In an embodiment, the ultrasound data is image data of the ultrasound image or ultrasound wave echo data corresponding to the ultrasound image.

[0374] The ultrasound device sends the image data of the ultrasound image or the ultrasound wave echo data corresponding to the ultrasound image to the cloud server, and then the cloud server performs identification processing on the image data or the ultrasound wave echo data to determine the section type of the ultrasound image.

[0375] In addition, as Figure 13As shown, an embodiment of the present application further provides an ultrasound imaging system 30, comprising: an ultrasound probe 310, a transmitting and receiving circuit 320, a beamforming and signal processing module 330, a processor 340, a transmission module 350 and a display device 360. In the ultrasound imaging system, the transmitting and receiving circuit can excite the ultrasound probe to emit ultrasound waves to a target to be detected, receive ultrasound echoes of the ultrasound waves returned from the target to be detected, obtain ultrasound echo signals, the beamforming and signal processing module can perform beamforming and signal processing on the echo signals to obtain an ultrasound image, the display device provides a human-computer interaction interface to receive an ultrasound scanning operation instruction input by a user, the processor can determine an ultrasound image to be identified according to the ultrasound scanning operation instruction, and transmit image data or ultrasound echo data corresponding to the ultrasound image to a cloud server through the transmission module, so that the cloud server performs section type identification processing on the ultrasound image; and receive the identification processing result fed back by the cloud server through the transmission module, and automatically associate the ultrasound image to a corresponding standard section in a target workflow protocol according to the identification processing result, as an ultrasound section image corresponding to the corresponding standard section, and control the display device to display the ultrasound section image and the standard section information corresponding thereto. The implementation of each component can refer to the related content involved in the foregoing ultrasound imaging workflow system 20 and the ultrasound imaging workflow processing method S600, and will not be described in detail here.

[0376] Referring to Figure 14 , based on Figure 13 The ultrasound imaging system 30 is implemented, and an embodiment of the present application further provides an ultrasound imaging method S900, which comprises but is not limited to the following steps S910 to S960:

[0377] Step S910, the ultrasound device emits ultrasound waves to a target to be detected, and receives echoes of the ultrasound waves returned from the target to be detected, to obtain ultrasound echo data.

[0378] Step S920, the ultrasound device obtains an ultrasound image according to the ultrasound echo data.

[0379] Step S930, the ultrasound device transmits ultrasound data corresponding to the ultrasound image to a cloud server, wherein the ultrasound data is image data or ultrasound echo data of the ultrasound image.

[0380] Step S940, the cloud server performs identification processing on the ultrasound data, determines the section type of the ultrasound image, and feeds back the identification processing result to the ultrasound device according to the section type of the ultrasound image.

[0381] In step S950, the ultrasound device automatically associates the ultrasound image to the corresponding standard section in the target workflow protocol according to the recognition processing result, as the ultrasound section image corresponding to the corresponding standard section, wherein the target workflow protocol comprises a preset group of standard sections.

[0382] In step S960, the ultrasound device displays the ultrasound section image and the corresponding standard section information thereof.

[0383] It can be understood that the implementation of steps S910 to S960 can refer to the related content involved in the foregoing ultrasound imaging workflow system 20 and the processing method S600 of the ultrasound imaging workflow thereof, and will not be described in detail here.

[0384] On the other hand, the embodiments of the present application provide an electronic device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the processing method S200 to S800 of the ultrasound imaging workflow as described above or the ultrasound imaging method S900 as described above when executing the computer program.

[0385] On the other hand, the embodiments of the present application provide a computer storage medium, which stores a computer program, and is applied to an ultrasonic imaging device, the computer program is executed by a processor to implement the processing method S200 to S800 of the ultrasound imaging workflow as described above or the ultrasound imaging method S900 as described above.

[0386] On the other hand, the embodiments of the present application provide a computer program product, which comprises computer instructions stored in a computer readable storage medium, and a processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to enable the computer device to execute the processing method S200 to S800 of the ultrasound imaging workflow as described above or the ultrasound imaging method S900 as described above.

[0387] In several embodiments provided in the present 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 schematic, for example, the division of units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0388] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e., may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0389] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0390] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0391] It should also be understood that the various embodiments provided by the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

[0392] The above is a specific description of the preferred embodiments of the present application, but the present application is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or replacements without departing from the spirit of the present application, and these equivalent modifications or replacements are all included in the scope defined by the claims of the present application.

Claims

1. A method for processing ultrasonic imaging workflows, applied to ultrasonic equipment, characterized in that, The method includes: At least one frame of ultrasound image is acquired and sent to a cloud server so that the cloud server can perform recognition processing on the at least one frame of ultrasound image to determine the cross-sectional type of the ultrasound image. Receive the section type of the ultrasound image fed back by the cloud server; Based on the section type of the ultrasound image, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol, which serves as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections. The ultrasonic cross-sectional image and its corresponding standard cross-sectional information are displayed.

2. The processing method for ultrasonic imaging workflow according to claim 1, characterized in that, The section type of the ultrasound image received from the cloud server includes: The cloud server receives the section type and matching degree of multiple ultrasound images, wherein the matching degree is determined by the cloud server based on the comparison of the ultrasound image with its corresponding standard section. The step of automatically associating the ultrasound image with the corresponding standard section in the target workflow protocol based on the section type of the ultrasound image, as the ultrasound section image corresponding to the corresponding standard section, includes: Based on the section type of the ultrasound image, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol. When at least two of the multiple ultrasound images correspond to the same section type, the ultrasound image specified by the user or with the highest matching degree is associated with the corresponding standard section in the target workflow protocol and used as the ultrasound section image corresponding to the corresponding standard section.

3. The processing method for ultrasound imaging workflow according to claim 1, characterized in that, The section type of the ultrasound image received from the cloud server includes: The cloud server receives the section type and matching degree of the ultrasound image, wherein the matching degree is determined by the cloud server based on the comparison of the ultrasound image with its corresponding standard section. The step of automatically associating the ultrasound image with the corresponding standard section in the target workflow protocol based on the section type of the ultrasound image, as the ultrasound section image corresponding to the corresponding standard section, includes: The matching degree of the ultrasound image is compared with a preset matching degree condition; if the preset matching degree condition is met, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the standard section; if the preset matching degree condition is not met, the current recognition processing result is discarded or the ultrasound image is stored in the candidate section storage area.

4. The processing method for ultrasound imaging workflow according to claim 1, characterized in that, The acquired at least one ultrasound image is one of the following: At least one frame of the ultrasound image acquired by the user operating the ultrasound device; At least one frame of the ultrasound image stored in the ultrasound device; At least one frame of the ultrasound image or video stream data stored in the storage medium.

5. The method for processing the ultrasound imaging workflow according to claim 1 or 4, characterized in that, A single frame of the ultrasound image includes at least one type of ultrasound image information, wherein the at least one type of ultrasound image information includes at least one of the following: B-image information, blood flow image information, contrast image information, elasticity image information, and photoacoustic image information.

6. The method for processing ultrasonic imaging workflow according to claim 5, characterized in that, The step of acquiring at least one frame of ultrasound image and sending at least one frame of ultrasound image to the cloud server includes: Acquire at least one frame of ultrasound image, and integrate at least one piece of ultrasound image information corresponding to each frame of ultrasound image into an ultrasound image data file in a target format; The ultrasound image data file is sent to the cloud server.

7. The method for processing the ultrasound imaging workflow according to any one of claims 1 to 4, characterized in that, The method further includes: The ultrasonic cross-sectional image is stored in the standard cross-sectional storage area; Displays a thumbnail of the ultrasonic section image and / or the standard section information in the standard section storage area; After receiving the user's first selection instruction to select the ultrasonic section image in the standard section storage area, the selected ultrasonic section image and its corresponding standard section information are displayed.

8. The method for processing an ultrasound imaging workflow according to any one of claims 1 to 4, characterized in that, The step of displaying the ultrasound section image and its corresponding standard section information includes: displaying a section list of the standard sections in the target workflow protocol, and highlighting the standard sections corresponding to the ultrasound section image in the section list, wherein the highlighting includes at least one of the following: Annotation display; Highlight; Color-coded display; Fonts are displayed differently.

9. The method for processing an ultrasound imaging workflow according to any one of claims 1 to 4, characterized in that, The section type of the ultrasound image received from the cloud server also includes one of the following: Receive the section type, anatomical structure information, and matching degree of the ultrasound image fed back by the cloud server; Alternatively, the cloud server may receive the section type and anatomical structure information of the ultrasound image. Alternatively, the cloud server may receive the section type and matching degree of the ultrasound image.

10. The method for processing an ultrasound imaging workflow according to any one of claims 1 to 4, characterized in that, The method further includes: Receive the ultrasound image with the identified section type fed back by the cloud server.

11. The method for processing an ultrasound imaging workflow according to any one of claims 1 to 4, characterized in that, The step of acquiring at least one frame of ultrasound image and sending at least one frame of ultrasound image to the cloud server includes: The system acquires a target workflow protocol and its corresponding at least one ultrasound image frame, and sends the at least one ultrasound image frame and the workflow information of the target workflow protocol to a cloud server. The target workflow protocol is selected by the user from a list of workflow protocols, and the list of workflow protocols is either a list stored locally on the ultrasound device or a list acquired from the cloud server.

12. The method for processing an ultrasound imaging workflow according to any one of claims 1 to 4, characterized in that, The method further includes: Acquire the ultrasound image and its corresponding target section type specified by the user; The ultrasound image and the target section type are sent to the cloud server; Obtain the matching degree between the ultrasound image and the standard section, and / or the ultrasound image whose matching degree meets the preset matching conditions, as fed back by the cloud server; Display the ultrasound image and / or the matching degree.

13. A method for processing an ultrasonic imaging workflow, characterized in that, Applied to cloud servers, the method includes: Receive ultrasound data sent by an ultrasound device, wherein the ultrasound data corresponds to an ultrasound image acquired by the ultrasound device. The ultrasound data is processed to identify the section type of the ultrasound image, and the identification processing result is fed back to the ultrasound device according to the section type of the ultrasound image, so that the ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the identification processing result, as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections.

14. The method for processing the ultrasonic imaging workflow according to claim 13, characterized in that, The ultrasound data is the image data of the ultrasound image or the ultrasound echo data corresponding to the ultrasound image.

15. The method for processing the ultrasound imaging workflow according to claim 13 or 14, characterized in that, The identification processing result includes at least one of the following: Record the section type information of the ultrasound image section type; The ultrasound image conforming to standard cross-sectional requirements; Image ID information of the ultrasound image that meets the standard section requirements.

16. The method for processing ultrasonic imaging workflow according to claim 15, characterized in that, The ultrasonic data received by the ultrasonic device includes: Receive ultrasound data of at least one frame of the ultrasound image sent by the ultrasound device and the target section type specified by the user; The process of identifying and processing the ultrasound data to determine the section type of the ultrasound image, and then feeding back the identification and processing results to the ultrasound device based on the section type of the ultrasound image, includes one of the following: The matching degree of the ultrasound image is determined by matching the ultrasound data with the data in the standard section library corresponding to the target section type, and the matching degree of the ultrasound image is fed back to the ultrasound device. Alternatively, the matching degree of the ultrasound image is determined by matching the ultrasound data with the data in the standard section library corresponding to the target section type, and the ultrasound image and / or the image ID information of the ultrasound image that meet the preset matching degree conditions are sent to the ultrasound device. Alternatively, each of the ultrasound data is matched with the data in the standard section library corresponding to the target section type to determine the matching degree of each ultrasound image. The ultrasound image with the highest matching degree is selected as the ultrasound image that meets the standard section requirements, and the ultrasound image that meets the standard section requirements and / or the image ID information of the ultrasound image are fed back to the ultrasound device.

17. The method for processing ultrasonic imaging workflow according to claim 13, characterized in that, The method further includes at least one of the following: The terminal device accesses the cloud server to obtain the ultrasound section image and its associated standard section information stored in the cloud server, and displays the ultrasound section image and its corresponding standard section information on the terminal device. The terminal device acquires the target section type specified by the user, accesses the cloud server, searches for the ultrasound section image that matches the target section type in the cloud server, and displays the ultrasound section image on the terminal device.

18. The method for processing ultrasonic imaging workflow according to claim 17, characterized in that, The terminal device can be a mobile terminal, a local computer terminal, or the ultrasound device.

19. A method for processing an ultrasound imaging workflow, applied to a cloud server, the method comprising: Receive ultrasound data sent by an ultrasound device, wherein the ultrasound data corresponds to an ultrasound image acquired by the ultrasound device. The ultrasound data is processed to identify and determine the section type of the ultrasound image; Based on the section type of the ultrasound image, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol, and the ultrasound section image corresponding to the corresponding standard section is stored in the cloud server. The target workflow protocol includes a set of preset standard sections.

20. A method for processing an ultrasonic imaging workflow, characterized in that, The method includes: The ultrasound device acquires at least one frame of ultrasound image and sends at least one frame of ultrasound image to a cloud server; The cloud server performs recognition processing on at least one frame of the ultrasound image, determines the cross-sectional type of the ultrasound image, and feeds back the cross-sectional type of the ultrasound image to the ultrasound device. The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and uses it as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections. The ultrasound device displays the ultrasound cross-sectional image and its corresponding standard cross-sectional information.

21. The method for processing ultrasonic imaging workflow according to claim 20, characterized in that, The cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, including: The cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type of the ultrasound image and the matching degree between the ultrasound image and the standard section, and feeds back the section type of the ultrasound image and the matching degree to the ultrasound device. The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and the ultrasound section image corresponding to the corresponding standard section includes: The ultrasound device obtains the section types and matching degrees of multiple ultrasound images from the cloud server. When at least two ultrasound images correspond to the same section type, the ultrasound image specified by the user or with the highest matching degree is associated with the corresponding standard section in the target workflow protocol and used as the ultrasound section image corresponding to the corresponding standard section.

22. The method for processing ultrasonic imaging workflow according to claim 20, characterized in that, The cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, including: The cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type of the ultrasound image and the matching degree between the ultrasound image and the standard section, and feeds back the section type of the ultrasound image and the matching degree to the ultrasound device. The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and the ultrasound section image corresponding to the corresponding standard section includes: The ultrasound device compares the matching degree of the ultrasound image with a preset matching degree condition; if it meets the preset matching degree condition, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol as the ultrasound section image corresponding to the standard section; if it does not meet the preset matching degree condition, the current recognition and processing result is discarded or the ultrasound image is stored in the candidate section storage area.

23. The processing method for the ultrasonic imaging workflow according to claim 20, characterized in that, The cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type of the ultrasound image, and feeds back the section type of the ultrasound image to the ultrasound device, including: The cloud server acquires multiple frames of ultrasound images from the ultrasound device, and performs recognition processing on each ultrasound image to determine the cross-sectional type and matching degree of each ultrasound image. If at least two ultrasound images correspond to the same section type, the ultrasound image with the highest matching degree is selected as the target ultrasound image, and the section type of the target ultrasound image is fed back to the ultrasound device, or the section type of the target ultrasound image and its matching degree are fed back.

24. The method for processing an ultrasound imaging workflow according to any one of claims 20 to 23, characterized in that, The method further includes: The cloud server also automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and stores it in the cloud server as the ultrasound section image corresponding to the corresponding standard section; The terminal device accesses the cloud server, obtains the ultrasonic section image and its associated standard section information stored in the cloud server, and displays the ultrasonic section image and its corresponding standard section information on the terminal device.

25. The method for processing ultrasonic imaging workflow according to claim 24, characterized in that, The cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type of the ultrasound image, including: the cloud server performs recognition processing on at least one frame of the ultrasound image to determine the section type, anatomical structure information, and the matching degree between the ultrasound image and the standard section. The processing method for the ultrasound imaging workflow also includes: The terminal device also obtains the anatomical structure information and the matching degree of the ultrasound cross-sectional image through the cloud server, and displays the anatomical structure information and the matching degree of the ultrasound cross-sectional image on the terminal device.

26. A method for processing ultrasonic imaging workflows, applied to ultrasonic equipment, characterized in that, The method includes: An ultrasound image is acquired, and the ultrasound data corresponding to the ultrasound image is sent to a cloud server, so that the cloud server can perform recognition processing on at least one frame of the ultrasound image, thereby determining the cross-sectional type of the ultrasound image. Receive the recognition and processing results fed back by the cloud server based on the facet type; Based on the recognition and processing results, the ultrasound image is automatically associated with the corresponding standard section in the target workflow protocol, and serves as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections. The ultrasonic cross-sectional image and its corresponding standard cross-sectional information are displayed.

27. The method for processing ultrasonic imaging workflow according to claim 26, characterized in that, The ultrasound data is the image data of the ultrasound image or the ultrasound echo data corresponding to the ultrasound image.

28. A method for processing an ultrasonic imaging workflow, characterized in that, The method includes: The ultrasound equipment acquires ultrasound images and sends the ultrasound data corresponding to the ultrasound images to the cloud server; The cloud server performs identification processing on the ultrasound data, determines the cross-sectional type of the ultrasound image, and feeds back the identification processing results to the ultrasound device based on the cross-sectional type of the ultrasound image. The ultrasound device automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol based on the recognition and processing result, as the ultrasound section image corresponding to the corresponding standard section. The target workflow protocol includes a set of preset standard sections. The ultrasound device displays the ultrasound cross-sectional image and its corresponding standard cross-sectional information.

29. The method for processing ultrasonic imaging workflow according to claim 28, characterized in that, The ultrasound data is the image data of the ultrasound image or the ultrasound echo data corresponding to the ultrasound image.

30. A method for processing an ultrasonic imaging workflow, characterized in that, The method includes: The ultrasound equipment acquires ultrasound images and sends the ultrasound data corresponding to the ultrasound images to the cloud server; The cloud server performs identification processing on the ultrasound data to determine the cross-sectional type of the ultrasound image; The cloud server automatically associates the ultrasound image with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and stores the ultrasound section image corresponding to the corresponding standard section in the cloud server. The target workflow protocol includes a set of preset standard sections.

31. An ultrasonic imaging workflow system, characterized in that, This includes ultrasound equipment and cloud servers, among which: The ultrasound device is used to acquire ultrasound images and send the ultrasound data corresponding to the ultrasound images to a cloud server. The cloud server is used to identify and process the ultrasound data, determine the cross-sectional type of the ultrasound image, and feed back the identification and processing results to the ultrasound device based on the cross-sectional type of the ultrasound image. The ultrasound device is also used to automatically associate the ultrasound image with the corresponding standard section in the target workflow protocol according to the recognition and processing result, as the ultrasound section image corresponding to the corresponding standard section, and to display the ultrasound section image and its corresponding standard section information, wherein the target workflow protocol includes a preset set of standard sections.

32. An ultrasonic imaging workflow system, characterized in that, This includes ultrasound equipment and cloud servers, among which: The ultrasound device is used to acquire ultrasound images and send the ultrasound data corresponding to the ultrasound images to a cloud server. The cloud server is used to identify and process the ultrasound data, determine the section type of the ultrasound image, and automatically associate the ultrasound image with the corresponding standard section in the target workflow protocol according to the section type of the ultrasound image, and store the ultrasound section image corresponding to the corresponding standard section in the cloud server. The target workflow protocol includes a preset set of standard sections.

33. An ultrasound imaging system, characterized in that, include: Ultrasonic probe; The transmitting and receiving circuit is used to excite the ultrasonic probe to emit ultrasonic waves toward the target to be detected, receive the ultrasonic echoes returned from the target to be detected, and obtain ultrasonic echo data. The beamforming and signal processing module is used to perform beamforming and signal processing on the echo signal to obtain an ultrasound image; The human-computer interaction interface is used to receive ultrasonic scanning operation commands input by the user; Transmission module; Display devices; The processor is configured to determine the ultrasound image to be identified according to the ultrasound scanning operation command, and send the image data or ultrasound echo data corresponding to the ultrasound image to the cloud server through the transmission module, so that the cloud server can perform cross-section type identification processing on the ultrasound image; and receive the identification processing result fed back by the cloud server through the transmission module, and automatically associate the ultrasound image with the corresponding standard cross-section in the target workflow protocol according to the identification processing result, as the ultrasound cross-section image corresponding to the corresponding standard cross-section, and control the display device to display the ultrasound cross-section image and its corresponding standard cross-section information.

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