Ultrasonic data tracking method, computer device and storage medium

Abstract

The present application relates to a method for tracking ultrasound examination data, a computer device and a storage medium. The method obtains ultrasound examination data of an inspection object from a target device according to an input query instruction, determines the time series corresponding to the ultrasound examination data, and classifies the ultrasound examination data according to the time series to obtain ultrasound examination data at each time point in the time series, and performs statistical analysis on the ultrasound examination data at each time point according to a preset statistical analysis method to obtain statistical analysis results, wherein the target device is one of other ultrasound devices, medical information storage devices and cloud devices. The above method realizes that ultrasound examination data of inspection objects on other devices, or medical information storage devices or cloud devices can be tracked on a local ultrasound device as long as the query instruction is used, thereby overcoming the problem that ultrasound examination data is difficult to track in traditional ultrasound examinations because ultrasound examination data cannot be shared.

Description

Technical Field

[0001] The present application relates to the technical field of medical equipment, and in particular to an ultrasound data tracking method, computer equipment and storage medium. Background Art

[0002] Ultrasound examination plays an increasingly important role in people's lives. Ultrasound can examine a wide variety of items, covering almost every part of the human body. However, most ultrasound devices are stand-alone devices, with little data exchange with the outside world, or a single channel, which usually makes it difficult to track patients' historical ultrasound examination data.

[0003] Currently, doctors mostly track patients' historical ultrasound examination data through verbal communication with patients, or manually review patients' previous ultrasound examination reports from the corresponding medical document management system, manually extract key information from multiple reports for manual comparison, and obtain patients' historical ultrasound examination results based on the comparison results.

[0004] However, the above-mentioned tracking method of ultrasonic inspection data has the problem of low tracking efficiency. Summary of the invention

[0005] Based on this, it is necessary to provide a tracking method, computer equipment and storage medium for ultrasonic inspection data that can improve tracking efficiency in response to the above technical problems.

[0006] In a first aspect, a method for tracking ultrasound examination data comprises:

[0007] Acquiring ultrasound examination data of the examination object from a target device according to an inputted query instruction; the target device is at least one of other ultrasound devices, medical information storage devices and cloud devices;

[0008] Determine a time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series to obtain ultrasonic inspection data at each time point in the time series;

[0009] According to a preset statistical analysis method, the ultrasonic examination data at each time point is statistically analyzed to obtain a statistical analysis result.

[0010] In one embodiment, acquiring the ultrasonic inspection data of the inspection object from the target device according to the input review instruction includes:

[0011] Searching for other online devices according to the query instruction; the other online devices are at least one of other online ultrasound devices, medical information storage devices and cloud devices;

[0012] If the other online devices are found, a network connection with the other online devices is established, and after determining a target device among the other online devices, the network connections of the other online devices except the target device are disconnected, and the ultrasonic examination data of the inspection object is obtained from the target device;

[0013] If the other online device is not found, the ultrasound examination data of the examination object is obtained from the local ultrasound device.

[0014] In one embodiment, the ultrasound examination data includes ultrasound image data, and the ultrasound examination data at each time point is statistically analyzed according to a preset statistical analysis method to obtain statistical analysis results, including:

[0015] According to a preset classification method, the ultrasound image data at each time point are classified and arranged in a temporal order to obtain arranged image data;

[0016] If the arranged image data includes image data of a preset and scanned part that are consistent, extracting the image data of a preset and scanned part that are consistent and determining them as comparison image data;

[0017] The arranged image data and the compared image data are determined as the statistical analysis result.

[0018] In one embodiment, the method further comprises:

[0019] If the image parameters of the compared image data are inconsistent, the compared image data are reconstructed according to preset image parameters to obtain compared image data with unified image parameters, and the compared image data with unified image parameters are determined as the statistical analysis result.

[0020] In one embodiment, the method further comprises:

[0021] The difference image data between the compared image data are determined, and the difference image data are determined as the statistical analysis result.

[0022] In one embodiment, the ultrasonic inspection data includes measurement data, and the statistical analysis is performed on the ultrasonic inspection data at each time point according to a preset statistical analysis method to obtain a statistical analysis result, including:

[0023] According to a preset classification method, the measurement data at each time point are classified and arranged in chronological order to obtain arranged measurement data;

[0024] Counting the data change trend of each measurement item in the arranged measurement data;

[0025] The data change trend of each measurement item is determined as the statistical analysis result.

[0026] In one embodiment, the method further comprises:

[0027] A trend analysis is performed on the data change trend of each measurement item, and a result of the trend analysis is determined as the statistical analysis result.

[0028] In one embodiment, the method further comprises:

[0029] The statistical analysis results are displayed on the display interface in at least one of the following ways: graphics, tables, and text.

[0030] In a second aspect, a device for tracking ultrasound examination data includes:

[0031] An acquisition module, used for acquiring the ultrasonic examination data of the examination object from a target device according to an input query instruction; the target device is one of other ultrasonic devices, medical information storage devices and cloud devices;

[0032] A determination module, used to determine a time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series to obtain ultrasonic inspection data at each time point in the time series;

[0033] The analysis module is used to perform statistical analysis on the ultrasonic examination data at each time point according to a preset statistical analysis method to obtain statistical analysis results.

[0034] In a third aspect, a computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.

[0035] In a fourth aspect, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0036] The above-mentioned ultrasound examination data tracking method, computer device and storage medium obtain the ultrasound examination data of the inspection object from the target device according to the input query instruction, determine the time series corresponding to the ultrasound examination data, and classify the ultrasound examination data according to the time series to obtain the ultrasound examination data at each time point in the time series, and perform statistical analysis on the ultrasound examination data at each time point according to the preset statistical analysis method to obtain the statistical analysis results, wherein the target device is at least one of other ultrasound devices, medical information storage devices and cloud devices. The above-mentioned method realizes that the ultrasound examination data of the inspection object on other devices, or medical information storage devices or cloud devices can be tracked on the local ultrasound device as long as the query instruction is used, thereby overcoming the problem that the ultrasound examination data is difficult to track in traditional ultrasound examinations because the ultrasound examination data cannot be shared. Moreover, by performing statistical analysis on the ultrasound examination data at each time point, the statistical results can be directly obtained, which can overcome the problem of long time consumption and low efficiency caused by manually reading the patient's ultrasound examination report and manually performing comparison and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A diagram of an application environment of a method for tracking ultrasonic inspection data in one embodiment;

[0038] Figure 2 is a flow chart of a method for tracking ultrasound inspection data in one embodiment;

[0039] Figure 3 for Figure 2 A flowchart of an implementation method of S101 in the embodiment;

[0040] Figure 3A is a flow chart of a communication module in one embodiment;

[0041] Figure 4 for Figure 2 A flowchart of an implementation method of S103 in the embodiment;

[0042] Figure 4A is a schematic diagram showing ultrasound image data in one embodiment;

[0043] Figure 4B is a schematic diagram showing ultrasound image data in one embodiment;

[0044] Figure 4C is a schematic diagram showing ultrasound image data in one embodiment;

[0045] Figure 4D is a flow chart of a method for tracking ultrasound inspection data in one embodiment;

[0046] Figure 5 for Figure 2 A flowchart of an implementation method of S103 in the embodiment;

[0047] Figure 5A is a schematic diagram showing ultrasound image data in one embodiment;

[0048] Figure 6 for Figure 2 A flowchart of an implementation method of S103 in the embodiment;

[0049] Fig. 6A A schematic diagram showing measurement data in one embodiment;

[0050] Figure 6B A schematic diagram showing measurement data in one embodiment;

[0051] Figure 7 for Figure 2 A flowchart of an implementation method of S103 in the embodiment;

[0052] Fig. 7A A schematic diagram showing the results of trend analysis in one embodiment;

[0053] Figure 8 is a flow chart of a method for tracking ultrasound inspection data in one embodiment;

[0054] Fig. 8A A schematic diagram showing statistical analysis of ultrasound image data in one embodiment;

[0055] Figure 8B A schematic diagram showing statistical analysis of measurement data in one embodiment;

[0056] Fig. 9 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0057] Fig.10 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0058] Fig.11 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0059] Fig.12 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0060] Fig.13 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0061] Fig.14 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0062] Fig.15 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0063] Fig.16 is a structural block diagram of a device for tracking ultrasound examination data in one embodiment;

[0064] Fig.17 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0066] The ultrasonic inspection data tracking method provided in this application can be applied to Figure 1 In the application environment shown. The local ultrasound device 102 communicates with the target device 104 through the network. The local ultrasound device 102 obtains the ultrasound examination data of the patient from the target device 104 according to the reference instruction input by the doctor, performs statistical analysis, obtains statistical results and displays them. The local ultrasound device 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers and portable wearable devices, and the target device 104 can be specifically one of ultrasound devices, medical information storage devices, servers and cloud devices. The target device 104 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers and portable wearable devices.

[0067] Those skilled in the art will understand that Figure 1 The structure shown in the figure is merely a block diagram of a partial structure related to the present application scheme, and does not constitute a limitation on the application environment to which the present application scheme is applied. The specific application environment may include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0068] Existing doctors use local ultrasound equipment to view patients' historical ultrasound examination data in the following ways:

[0069] 1) Obtain ultrasound examination data through verbal communication with patients. However, it is often difficult for patients to accurately describe the details of the previous examination, especially the precise examination data.

[0070] 2) Manually read the patient's previous ultrasound examination reports and manually extract key information from multiple reports for manual comparison. However, this method may result in missing information, incomplete judgment, etc., and is time-consuming and inefficient.

[0071] 3) View the patient's historical ultrasound examination data through the patient management module of the ultrasound device. Because most ultrasound devices are stand-alone devices, the ultrasound examination data on multiple ultrasound devices cannot be shared, and the patient's historical ultrasound examination data stored in a single ultrasound device is incomplete or non-existent, making it difficult to view the patient's historical ultrasound examination data on the ultrasound device.

[0072] 4) View patient historical data through the medical information system. The medical information system often has a one-way communication with the ultrasound device, that is, the medical information system obtains ultrasound examination data from the ultrasound device, but the ultrasound device cannot obtain report data from the medical information system. Viewing ultrasound examination data through the medical information system may be more comprehensive than the historical ultrasound examination data obtained by the second method, but it also has the problem of being time-consuming and inefficient.

[0073] The above method also has the problem that the patient's historical ultrasound examination data are scattered, and the doctor needs to analyze and compare the patient's ultrasound examination data over a period of time by himself. There is a lack of more intelligent statistical, analytical and display functions, which may lead to some omissions and deviations in the comprehensive judgment of the historical ultrasound examination data, affecting the objectivity and accuracy of the subsequent ultrasound diagnosis and the doctor's determination of the treatment plan. In view of the shortcomings of the prior art, this application proposes a tracking method for ultrasound examination data to solve the above problems. The following embodiments will specifically illustrate this solution.

[0074] In one embodiment, Figure 2 As shown, a method for tracking ultrasound inspection data is provided, and the method is applied to Figure 1 The local ultrasound device in the example is used to illustrate the process, including the following steps:

[0075] S101, acquiring ultrasonic inspection data of an inspection object from a target device according to an input inspection instruction.

[0076] The target device is at least one of other ultrasound devices, medical information storage devices and cloud devices. The ultrasound examination data includes ultrasound image data, measurement data, various examination environments and parameters. The query instruction is used to query the patient's historical ultrasound examination data on the local ultrasound device or the target device. The query instruction may include relevant information of the examination object, such as the patient's medical record number, name, etc.

[0077] In this embodiment, when the doctor needs to view the historical ultrasound examination data of the examination object on the local ultrasound device, he can input the review instruction on the local ultrasound device in any way. When the local ultrasound device receives the review instruction, it first determines the target device that stores the ultrasound examination data of the examination object, then connects to the target device, and then obtains the ultrasound examination data of the examination object from the target device.

[0078] 102 , determining a time series corresponding to the ultrasonic examination data, and classifying the ultrasonic examination data according to the time series to obtain ultrasonic examination data at each time point in the time series.

[0079] In this embodiment, when the local ultrasound device obtains the ultrasound inspection data of the inspection object from the target device, since the ultrasound inspection data is the inspection data of the inspection object within a historical time period, the ultrasound inspection data obtained by the local ultrasound device includes ultrasound inspection data at different time points, so the local ultrasound device first determines the time series corresponding to the ultrasound inspection data, and then classifies the ultrasound inspection data according to different time points according to the time series to obtain the ultrasound inspection data at each time point. For example, the ultrasound inspection data belonging to January 2020 is classified into one category, the ultrasound inspection data belonging to February 2020 is classified into one category, and the ultrasound inspection data belonging to March 2020 is classified into one category.

[0080] S103, performing statistical analysis on the ultrasound examination data at each time point according to a preset statistical analysis method to obtain statistical analysis results.

[0081] After the local ultrasound device classifies the ultrasound inspection data according to time points, a preset statistical analysis method can be used to perform statistical analysis on the ultrasound inspection data at each time point, for example, the ultrasound inspection data at each time point can be arranged in time for comparison analysis, and the ultrasound inspection data at each time point can be analyzed for trend changes, etc. The statistical analysis results can be determined in advance by the local ultrasound device according to statistical requirements, and the statistical analysis results can include the comparison results of the ultrasound inspection data at each time point, and can also include the analysis results after trend change analysis of the ultrasound inspection data at each time point, and the statistical analysis results can also include environmental parameters of the ultrasound inspection data at each time point, etc.

[0082] The above-mentioned method for tracking ultrasound examination data obtains the ultrasound examination data of the inspection object from the target device according to the input query instruction, determines the time series corresponding to the ultrasound examination data, and classifies the ultrasound examination data according to the time series to obtain the ultrasound examination data at each time point in the time series, and performs statistical analysis on the ultrasound examination data at each time point according to a preset statistical analysis method to obtain the statistical analysis results, wherein the target device is at least one of other ultrasound devices, medical information storage devices and cloud devices. The above-mentioned method realizes that the ultrasound examination data of the inspection object on other devices, or medical information storage devices or cloud devices can be tracked on the local ultrasound device as long as the query instruction is used, thereby overcoming the problem that the ultrasound examination data is difficult to track in traditional ultrasound examinations because the ultrasound examination data cannot be shared. Moreover, by performing statistical analysis on the ultrasound examination data at each time point, the statistical results can be directly obtained, which can overcome the problem of long time consumption and low efficiency caused by manually reading the patient's ultrasound examination report and manually performing comparison and analysis.

[0083] Optionally, the above S101 "obtaining ultrasonic inspection data of the inspection object from the target device according to the input inspection instruction" is as follows: Figure 3 As shown, the method includes:

[0084] S201, searching for other online devices according to the search instruction, if other online devices are found, executing step S202, if other online devices are not found, executing step S203.

[0085] When the local ultrasound device receives a search instruction input by the user, it can first search for other devices that have been started in the local area network, that is, other online devices. If other online devices are found, it means that the other online devices may store the previous ultrasound examination data of the examination object. At this time, the other online devices can be connected to obtain the ultrasound examination data of the examination object; if no other online devices are found, it means that there is currently no device to search for information, or the previous ultrasound examination data of the examination object may not exist on other online devices.

[0086] S202, establishing a network connection with other online devices, and after determining a target device among the other online devices, disconnecting the network connection of other online devices except the target device, and acquiring ultrasonic examination data of the examination object from the target device.

[0087] This embodiment involves the situation where the local ultrasound device searches for other online devices. In this case, the local ultrasound device can first establish a network connection with other online devices, and send a query data request to each other online device to query whether the ultrasound inspection data of the inspection object is stored on each other online device. When receiving the query data request, each other online device returns a response message to the local ultrasound device to inform whether the ultrasound inspection data of the inspection object is stored on the local ultrasound device. The local ultrasound device then determines the target device in the other online devices according to each response message received, that is, the device storing the ultrasound inspection data of the inspection object, and then sends a data read request to the target device to obtain the ultrasound inspection data of the inspection object from the target device. It should be noted that the determined target device can be one or more. When there are multiple target devices, each target device can store the ultrasound inspection data of the inspection object in different time periods, and after determining the target device, the local ultrasound device can generate a list containing each target device, so that the local ultrasound device can communicate with the target device on the list to obtain data. In addition, after the local ultrasound device determines the target device, it can disconnect the network connection with other online devices except the target device to reduce resource occupation. It is understandable that the local ultrasound device includes a communication module and a customized communication protocol, so that the local ultrasound device can transmit data with other online devices according to the predetermined communication protocol. Figure 3A The schematic diagram shown is a program executed by the communication module on the local ultrasound device, that is, the communication module receives a query instruction, extracts patient information (medical record number, name, etc.), searches other online devices (other online ultrasound devices, medical information storage devices, and one of the cloud devices), and if other online devices are found, establishes a network transmission connection with other online devices, queries whether each other online device contains the patient's previous examination data, and if so, marks the device to maintain the connection, generates an online device list containing examination data, and obtains the patient's previous examination data based on the devices in the online device list; if not, disconnects the network connection with other online devices. If no other online devices are found, obtain the patient's previous examination data from the local ultrasound device.

[0088] S203, acquiring ultrasound examination data of the examination object from a local ultrasound device.

[0089] This embodiment relates to a situation where the local ultrasound device fails to search for other online devices. In this situation, the local ultrasound device directly reads ultrasound examination data of the examination object from the local database according to the relevant information of the examination object contained in the query instruction.

[0090] The above method determines the target device by searching other online devices, and then obtains the ultrasound examination data of the inspection object from the target device, realizing two-way data transmission between the local ultrasound device and other online ultrasound devices and medical information devices, thereby realizing data sharing of the ultrasound examination data of the inspection object within a certain area. Moreover, the local ultrasound device can also obtain ultrasound examination data from the cloud device, that is, to obtain comprehensive ultrasound examination data of the inspection object, which is conducive to the local ultrasound device to perform statistical analysis based on comprehensive and accurate ultrasound examination data in the later stage, thereby improving the accuracy of analysis.

[0091] In practical applications, ultrasound examination data generally include ultrasound image data and measurement data, and different statistical analyses are performed according to different types of ultrasound examination data. The following embodiments will specifically illustrate these two statistical analysis methods.

[0092] In one application environment, when the ultrasound examination data includes ultrasound image data, such as Figure 4 As shown, the above S103 "perform statistical analysis on the ultrasound examination data at each time point according to a preset statistical analysis method to obtain statistical analysis results" includes:

[0093] S301, classifying and arranging the ultrasound image data at each time point in chronological order according to a preset classification method to obtain arranged image data.

[0094] Among them, the preset classification method is predetermined by the local ultrasound equipment according to statistical requirements. For example, the preset classification method may include classification according to the time, probe, preset, scanning part, adjustment parameters, etc. when acquiring the ultrasound image data, or classification according to different combinations.

[0095] In this embodiment, when the local ultrasound device obtains ultrasound image data at each time point, the ultrasound image data at each time point can be further classified according to a preset classification method, for example, classified according to the same scanning part, or the ultrasound image data with the same probe, scanning part and adjustment parameters can be classified into one category, and then the ultrasound image data of each category can be classified and arranged in chronological order to obtain image data of each category arranged in chronological order, so that the doctor can view the ultrasound image data of the examination object at each time point at a glance, and can also facilitate the doctor's comparative analysis. For example, Figure 4A As shown, Figures a to d correspond to each month in the period from January 2021 to May 2021, and Figures a to d are ultrasound image data of the same scanning part.

[0096] Optionally, the ultrasound examination data may also include environmental parameters. After the local ultrasound device executes the above step S301, in order to further assist the doctor in accurately analyzing each image data, such as Figure 4DAs shown, you can also perform the steps:

[0097] S3011, obtaining environmental parameters corresponding to the arranged image data.

[0098] The environmental parameters represent the inspection environment of the ultrasound inspection data at that time, for example, they may include: probe, preset, scanning part, measurement package, measurement item, image parameters (gain, frequency, dynamic range, etc.).

[0099] In this embodiment, the image data and the environmental parameters are one-to-one corresponding, so the local ultrasound device can obtain the corresponding environmental parameters while obtaining the image data. After the local ultrasound device executes the above step S301, the environmental parameters corresponding to the image data at each time point can also be arranged in chronological order to obtain the arranged environmental parameters, that is, the environmental parameters corresponding to the arranged image data.

[0100] S3012, determining the environmental parameters corresponding to the arranged image data as statistical analysis results.

[0101] When the local ultrasound device obtains the arranged image data and the corresponding arranged environmental parameters, both data can be simultaneously determined as statistical analysis results, so that when doctors later check the image data, they can also check the corresponding environmental parameters, thereby improving the accuracy of image analysis.

[0102] S302: If the arranged image data includes image data of a preset and scanned part that are consistent, the image data of a preset and scanned part that are consistent are extracted and determined as comparison image data.

[0103] Since only the image data of the preset and scanned parts are comparable, in this embodiment, when the local ultrasound device obtains the arranged image data, for example, Figure 4A The images of the same scanned part arranged in time as shown can further extract the image data of the same preset and scanned part as comparison image data, so that the doctor can perform comparison analysis based on the comparison image data.

[0104] S303: determining the arranged image data and the compared image data as statistical analysis results.

[0105] The local ultrasound device can present the arranged image data in the order of the time axis on the display interface as a statistical analysis result for the doctor to review, so that the doctor can view the image data at each time point, and can also present the comparison image data as a statistical analysis result for the doctor to review, so that the doctor can compare and analyze. The local ultrasound device can also present the environmental parameters corresponding to the image data at each time point to the doctor for review (for specific environmental parameters, see the aforementioned Figure 4D The method described in the embodiment) allows doctors to check and analyze the corresponding image data in combination with environmental parameters to improve the accuracy of the analysis. For example, Figure 4B As shown, the image data at each time point corresponds to its own environmental parameters.

[0106] Optionally, if the image parameters of the compared image data are inconsistent, the compared image data are reconstructed according to preset image parameters to obtain the compared image data with unified image parameters, and the compared image data with unified image parameters are determined as the statistical analysis result.

[0107] The preset image parameters may be determined in advance by the local ultrasound device according to display requirements. For example, the preset image parameters may be the same as the image parameters of the most recently acquired image data, or may be image parameters recommended by experts.

[0108] In this embodiment, when the local ultrasound device acquires comparison image data, and the image parameters of the comparison image data are inconsistent, for example, the resolutions of the two images in the comparison image data are different, the comparison image data is reconstructed according to the preset image parameters to obtain the comparison image data with unified image parameters. It should be noted that if the preset image parameters are the image parameters of one of the image data in the comparison image data, then the image data does not need to be reconstructed, and other image data can be reconstructed; if the preset image parameters are the image parameters recommended by experts or the set image parameters, then all the image data in the comparison image data are reconstructed. Afterwards, the comparison image data after the unified image parameters are determined as the statistical analysis results, and are presented on the interface for the doctor to review, such as Figure 4C As shown, image c and image d are both comparison image data after the same image parameters.

[0109] In practical applications, the statistical analysis results can also be displayed by comparing the differences between the image data. Therefore, the present application also provides a method for tracking ultrasound examination data. Figure 4 Based on the embodiment, after the above S302, as Figure 5 As shown, the steps include:

[0110] S304, determining the difference image data between the compared image data, and determining the difference image data as the statistical analysis result.

[0111] The difference image data is the comparison data between the image data corresponding to different time points in the comparison image data, for example, the image data of May and April are compared, and the difference image data includes the changes of the viewing object in each image data, for example, the location and size change information of the cyst. The difference image data can also be the comparison data between the image data reconstructed with different image parameters at the same time point, for example, the image data of April includes an image of a first adjustment gain (brightness) and an image of a second adjustment gain, and the first adjustment gain is less than the second adjustment gain, then the cyst in the image of the first adjustment gain is not very clear, and it is difficult for the doctor to view the information of the cyst through the image of the first adjustment gain, while the cyst in the image of the second adjustment gain is relatively clear, and the doctor can easily view the information of the cyst through the image of the second adjustment gain, that is, by reconstructing the image parameters and comparing and analyzing with the image before reconstruction, the accuracy of the analysis can be improved.

[0112] In this embodiment, when the local ultrasound device obtains the comparison image data after the unified image parameters, the difference image data between the comparison image data can be further determined. Specifically, the comparison image data can be subjected to pixel difference calculation to obtain the difference image data between the comparison image data, or other methods can be used to obtain the difference image data between the comparison image data. Afterwards, the difference image data is determined as the statistical analysis result and presented on the interface for the doctor to review, such as Figure 5A As shown, if image c is the image of the first adjustment parameters of the cyst in May, and image d is the image of the second adjustment parameters of the cyst after the reconstruction image in May, then image f is the difference image between image c and image d, that is, image f reflects the difference image between the image before and after the reconstruction.

[0113] In another application environment, when the ultrasound inspection data includes measurement data, such as Figure 6 As shown, the above S103 "perform statistical analysis on the ultrasound examination data at each time point according to a preset statistical analysis method to obtain statistical analysis results" includes:

[0114] S401, classifying and arranging the measurement data at each time point in chronological order according to a preset classification method to obtain arranged measurement data.

[0115] The preset classification method is predetermined by the local ultrasound device according to statistical requirements. For example, the preset classification method may include the time when the measurement data is obtained, the type of measurement data, etc.

[0116] In this embodiment, when the local ultrasound equipment obtains the measurement data at each time point, the measurement data at each time point can be further classified according to a preset classification method, for example, classified according to the type of measurement data. For example, the measurement data belonging to the vascular wall thickness type can be classified into one category, and then the measurement data of each category are classified and arranged in chronological order to obtain the measurement data of each category arranged in chronological order, so that the doctor can view the measurement data of the examination object at each time point at a glance, and it is convenient for the doctor to compare and analyze.

[0117] S402, calculating the data change trend of each measurement item in the arranged measurement data.

[0118] The measurement items are different types of measurement data in the measurement data, for example, the measurement items may be the thickness of the anterior wall of the intima-media membrane or the thickness of the posterior wall of the intima-media membrane. When the local ultrasound device obtains the arranged measurement data, it can analyze the corresponding measurement data at each time point for each measurement item to obtain the data change trend of each measurement item.

[0119] S403: Determine the data change trend of each measurement item as a statistical analysis result.

[0120] When the local ultrasound device determines the data change trend of each measurement item, the data change trend can be presented on the interface for the doctor to review. It should be noted that the change trend can be presented in the form of a curve. Fig. 6A As shown, curve (a) is the curve of the thickness of the anterior wall of the intima-media arranged in chronological order, and curve (b) is the curve of the thickness of the posterior wall of the intima-media arranged in chronological order. The trend of change can be presented in other ways, such as Figure 6B As shown, the changing trend is presented graphically.

[0121] In the above statistical methods, the analysis results of data change trends can also be displayed. Figure 6 Based on the example, Figure 7 As shown, after the above S402, the following steps are also included:

[0122] S404, performing trend analysis on the data change trend of each measurement item, and determining the result of the trend analysis as the statistical analysis result.

[0123] When the local ultrasound device obtains the data change trend of each measurement item, it can further perform trend analysis on the data change trend of each measurement item to obtain the result of trend analysis, such as the trend analysis result including the direction of the data change trend within a preset time period, the mutation point in the data change trend, etc., and then determine the result of trend analysis as the statistical analysis result. Fig. 7AAs shown, the results of trend analysis include: the results of trend analysis of the anterior wall thickness of the intima-media include: a downward trend within 5 months, with the peak in February and the bottom in May; the results of trend analysis of the posterior wall thickness of the intima-media include: an upward trend within 5 months, with the bottom in January and the peak in May; the results of trend analysis of the anterior-posterior diameter of the parasternal left ventricular long axis standard section include: the anteroposterior diameter length was generally stable within 5 months, with slight fluctuations.

[0124] In practical applications, after obtaining the statistical analysis results of ultrasound examination data, the local ultrasound equipment can also display the statistical analysis results. Figure 2-Figure 7 The method described in any embodiment further includes: displaying the statistical analysis results on the display interface in at least one of a graphic, a table, and text. It should be noted that when the image data in the ultrasound examination data is displayed on the display interface, the interface can also be provided with controls for image adjustment functions, secondary reconstruction functions, etc. The controls for the image adjustment functions are used to adjust the image parameters such as the clarity and size of the displayed image, and the controls for the secondary reconstruction functions are used to reconstruct the selected image according to the preset image parameters to obtain an image that meets the requirements. Moreover, the interface can also display a time axis, and display the image data or measurement data at each time point in the order arranged on the time axis. When displaying the measurement data of each measurement item, it can be displayed in the form of a statistical table, including a bar chart, a column chart, a line chart, an area chart, a pie chart, a scatter chart, a combination chart, etc., and automatically display matching graphics according to the measurement unit, and the user can also automatically switch the type of graphics for display. The display interface will also include the inspection environment parameters of each display item (ultrasound examination data), including: the inspection probe, the preset, the scanning part, the measurement package, the measurement item, the image parameters, etc., for the doctor's reference and analysis.

[0125] Based on all the above embodiments, the present application also provides a method for tracking ultrasound inspection data, such as Figure 8 As shown, the above method includes:

[0126] S501, searching for other online devices according to the search instruction, if other online devices are found, executing step S502, if other online devices are not found, executing step S503.

[0127] S502, establishing a network connection with other online devices, and after determining a target device among the other online devices, disconnecting the network connection of other online devices except the target device, and acquiring ultrasonic examination data of the examination object from the target device.

[0128] S503: Acquire ultrasound examination data of the examination object from a local ultrasound device.

[0129] S504, when the ultrasound examination data includes ultrasound image data, the ultrasound image data at each time point are classified and arranged in chronological order according to a preset classification method to obtain arranged image data.

[0130] S505: If the arranged image data includes image data of the preset and scanned parts, the image data of the preset and scanned parts are extracted and determined as the comparison image data.

[0131] S506: Determine the arranged image data and the compared image data as statistical analysis results.

[0132] S507, determining the difference image data between the compared image data, and determining the difference image data as the statistical analysis result.

[0133] S508, when the ultrasonic inspection data includes measurement data, the measurement data at each time point is classified and arranged in chronological order according to a preset classification method to obtain arranged measurement data.

[0134] S509, calculating the data change trend of each measurement item in the arranged measurement data.

[0135] S510: Determine the data change trend of each measurement item as a statistical analysis result.

[0136] S511, performing trend analysis on the data change trend of each measurement item, and determining the result of the trend analysis as the statistical analysis result.

[0137] S512, displaying the statistical analysis results on the display interface in at least one of the following ways: graphics, tables, and texts.

[0138] The above steps have been explained above. Please refer to the above instructions for details and will not be repeated here.

[0139] for example, Fig. 8A This is a schematic diagram showing the statistical analysis results of ultrasound image data, which includes image data arranged in chronological order, comparison image data, and environmental parameters. Figure 8B This is a schematic diagram showing the statistical analysis results of ultrasonic measurement data, which includes the trend curves of each data item and the analysis results of the trend analysis.

[0140] It should be understood that although Figure 2-8 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-8At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0141] In one embodiment, Fig. 9 As shown, a device for tracking ultrasound examination data is provided, comprising:

[0142] An acquisition module 11 is used to acquire the ultrasonic examination data of the examination object from a target device according to an input query instruction; the target device is one of other ultrasonic devices, medical information storage devices and cloud devices;

[0143] A determination module 12 is used to determine a time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series to obtain ultrasonic inspection data at each time point in the time series;

[0144] The analysis module 13 is used to perform statistical analysis on the ultrasonic examination data at each time point according to a preset statistical analysis method to obtain statistical analysis results.

[0145] In one embodiment, Fig.10 As shown, the acquisition module 11 includes:

[0146] The search unit 110 is used to search for other online devices according to the query instruction; the other online device is one of other online ultrasound devices, medical information storage devices and cloud devices;

[0147] The first acquisition unit 111 is used to establish a network connection with the other online devices when the other online devices are searched, and after determining a target device among the other online devices, disconnect the network connection of the other online devices except the target device, and acquire the ultrasonic examination data of the inspection object from the target device;

[0148] The second acquisition unit 112 is configured to acquire the ultrasound examination data of the examination object from the local ultrasound device when the other online devices are not found.

[0149] In one embodiment, Fig.11 As shown, the above analysis module 13 includes:

[0150] An arrangement unit 131 is used to classify and arrange the ultrasound image data at each time point in a temporal order according to a preset classification method to obtain arranged image data;

[0151] A first determining unit 132 is used for extracting and determining the image data consistent with the preset and scanned parts as comparison image data when the arranged image data includes image data consistent with the preset and scanned parts;

[0152] The second determining unit 133 is used to determine the arranged image data and the compared image data as the statistical analysis result.

[0153] In one embodiment, Fig.12 As shown, the above analysis module 13 further includes:

[0154] The third determination unit 134 is used to reconstruct the compared image data according to preset image parameters when the image parameters of the compared image data are inconsistent, to obtain the compared image data with unified image parameters, and determine the compared image data with unified image parameters as the statistical analysis result.

[0155] In one embodiment, Fig.13 As shown, the above analysis module 13 further includes:

[0156] The third determining unit 135 is used to determine the difference image data between the compared image data, and determine the difference image data as the statistical analysis result.

[0157] In one embodiment, Fig.14 As shown, the above analysis module 13 further includes:

[0158] The second arrangement unit 136 is used to classify and arrange the measurement data of each time point in a temporal order according to a preset classification method to obtain arranged measurement data;

[0159] A statistical unit 137, used to calculate the data change trend of each measurement item in the arranged measurement data;

[0160] The fifth determining unit 138 is configured to determine the data change trend of each measurement item as the statistical analysis result.

[0161] In one embodiment, Fig.15 As shown, the above analysis module 13 further includes:

[0162] The analyzing unit 139 is used to perform trend analysis on the data change trend of each measurement item, and determine the result of the trend analysis as the statistical analysis result.

[0163] In one embodiment, Fig.16 As shown, the above-mentioned tracking device for ultrasonic inspection data further includes:

[0164] The display module 14 is used to display the statistical analysis results on a display interface in at least one of the following ways: graphics, tables, and texts.

[0165] For the specific definition of the tracking device for ultrasonic inspection data, please refer to the definition of the tracking method for ultrasonic inspection data above, which will not be repeated here. Each module in the above-mentioned tracking device for ultrasonic inspection data can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0166] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig.17 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for tracking ultrasonic inspection data is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0167] Those skilled in the art will understand that Fig.17 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0168] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0169] Acquiring ultrasound examination data of the examination object from a target device according to an inputted query instruction; the target device is at least one of other ultrasound devices, medical information storage devices and cloud devices;

[0170] Determine a time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series to obtain ultrasonic inspection data at each time point in the time series;

[0171] According to a preset statistical analysis method, the ultrasonic examination data at each time point is statistically analyzed to obtain a statistical analysis result.

[0172] The computer device provided in the above embodiment has an implementation principle and technical effects similar to those of the above method embodiment, which will not be described in detail here.

[0173] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0174] Acquiring ultrasound examination data of the examination object from a target device according to an inputted query instruction; the target device is at least one of other ultrasound devices, medical information storage devices and cloud devices;

[0175] Determine a time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series to obtain ultrasonic inspection data at each time point in the time series;

[0176] According to a preset statistical analysis method, the ultrasonic examination data at each time point is statistically analyzed to obtain a statistical analysis result.

[0177] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0178] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0179] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0180] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for tracking ultrasonic inspection data, characterized in that: The method comprises: Acquire ultrasound examination data of the examination object from a target device according to a review instruction input into a local ultrasound device; the target device is at least one of other ultrasound devices, medical information storage devices and cloud devices, and the ultrasound examination data is examination data of the examination object at different time points within a historical time period; Determine a time series corresponding to the ultrasonic inspection data, and classify the ultrasonic inspection data according to the time series to obtain ultrasonic inspection data at each time point in the time series; The classifying the ultrasonic inspection data according to the time series to obtain the ultrasonic inspection data at each time point in the time series includes: Classify according to the same scanning part, or classify the ultrasound image data with the same probe, scanning part and adjustment parameters into one category, and then classify and arrange the ultrasound image data of each category in chronological order to obtain image data of each category arranged in chronological order; According to a preset statistical analysis method, the ultrasonic examination data at each time point is statistically analyzed to obtain a statistical analysis result.

2. The method according to claim 1, characterized in that The step of acquiring ultrasonic inspection data of the inspection object from the target device according to the input inspection instruction includes: Searching for other online devices according to the query instruction; the other online devices are at least one of other online ultrasound devices, medical information storage devices and cloud devices; If the other online devices are found, a network connection with the other online devices is established, and after determining a target device among the other online devices, the network connections of the other online devices except the target device are disconnected, and the ultrasonic examination data of the inspection object is obtained from the target device; If the other online device is not found, the ultrasound examination data of the examination object is obtained from the local ultrasound device.

3. The method according to claim 1, characterized in that The ultrasonic examination data includes ultrasonic image data, and the ultrasonic examination data at each time point is statistically analyzed according to a preset statistical analysis method to obtain statistical analysis results, including: According to a preset classification method, the ultrasound image data at each time point are classified and arranged in a temporal order to obtain arranged image data; If the arranged image data includes image data of a preset and scanned part that are consistent, extracting the image data of a preset and scanned part that are consistent and determining them as comparison image data; The arranged image data and the compared image data are determined as the statistical analysis result.

4. The method according to claim 3, characterized in that The method further comprises: If the image parameters of the compared image data are inconsistent, the compared image data are reconstructed according to preset image parameters to obtain compared image data with unified image parameters, and the compared image data with unified image parameters are determined as the statistical analysis result.

5. The method according to claim 3, characterized in that: The method further comprises: The difference image data between the compared image data are determined, and the difference image data are determined as the statistical analysis result.

6. The method according to claim 1, characterized in that The ultrasonic inspection data includes measurement data, and the ultrasonic inspection data at each time point is statistically analyzed according to a preset statistical analysis method to obtain statistical analysis results, including: According to a preset classification method, the measurement data at each time point are classified and arranged in chronological order to obtain arranged measurement data; Counting the data change trend of each measurement item in the arranged measurement data; The data change trend of each measurement item is determined as the statistical analysis result.

7. The method according to claim 6, characterized in that The method further comprises: A trend analysis is performed on the data change trend of each measurement item, and a result of the trend analysis is determined as the statistical analysis result.

8. The method according to any one of claims 1 to 7, characterized in that The method further comprises: The statistical analysis results are displayed on the display interface in at least one of the following ways: graphics, tables, and text.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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