Image processing method and device and magnetic resonance system

Abstract

The invention relates to an image processing method and device and a magnetic resonance system. The method comprises the following steps: acquiring a target image and an artifact detection result of the target image; generating an artifact correction button of the target image under the condition that the artifact detection result accords with a preset result; the preset result comprises that artifacts exist in the target image; and in response to a trigger operation for the artifact correction button, performing artifact correction processing on the target image to obtain a corrected image of the target image. By adopting the method, re-scanning is not needed when artifacts exist in the image, and the scanning time of the target part is shortened.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an image processing method, device and magnetic resonance system. Background Art

[0002] Spark artifact is one of the common artifacts of magnetic resonance system, usually caused by occasional failure of magnetic resonance system, such as poor contact of electronic switch during sampling of high-speed analog-to-digital converter, sparking of gradient coil, poor contact of other modules or discharge caused by wiring tip, instantaneous radio frequency signal crosstalk of wireless transmitter, etc. Spark artifact generally appears as diagonal artifact in clinical images, which has a serious impact on doctors' clinical diagnosis.

[0003] In the prior art, when encountering clinical images with spark artifacts, the problem is usually solved by rescanning. However, rescanning will increase the scanning time cost and is not suitable for scenarios where rescanning is not possible, such as scanning of critically ill patients or dynamic drug enhancement scanning. In addition, in some scenarios, spark artifacts will still appear after rescanning.

[0004] Therefore, there is a problem of increased scanning time in the current image processing technology of magnetic resonance systems. Summary of the invention

[0005] Based on this, it is necessary to provide an image processing method, device, computer equipment, computer readable storage medium, computer program product and magnetic resonance system that can reduce scanning time in response to the above technical problems.

[0006] In a first aspect, the present application provides an image processing method. The method comprises:

[0007] Acquire a target image and an artifact detection result of the target image;

[0008] When the artifact detection result meets the preset result, an artifact correction button of the target image is generated; the preset result includes that there are artifacts in the target image;

[0009] In response to a trigger operation on the artifact correction button, the target image is subjected to artifact correction processing to obtain a corrected image of the target image.

[0010] In one embodiment, acquiring a target image and an artifact detection result of the target image includes:

[0011] Acquire a K-space data set of the target part;

[0012] Performing Fourier transform on the K-space data set to obtain the target image, and performing artifact detection processing on the K-space data set to obtain the artifact detection result of the target image.

[0013] In one of the embodiments, acquiring the target image and the artifact detection result of the target image further includes:

[0014] Performing Fourier transform on the K-space data set of the target part to obtain the target image;

[0015] Performing artifact detection processing on the K-space data set to obtain a first artifact detection result of the target image, and performing artifact detection processing on the target image to obtain a second artifact detection result of the target image.

[0016] In one of the embodiments, when the artifact detection result meets the preset result, generating the artifact correction button of the target image includes:

[0017] The artifact correction button is generated when both the first artifact detection result and the second artifact detection result meet the preset result, or when only the first artifact detection result meets the preset result.

[0018] In one of the embodiments, after acquiring the target image and the artifact detection result of the target image, the method further includes:

[0019] When the artifact detection result meets the preset result, performing artifact correction processing on the target image to obtain the corrected image of the target image;

[0020] An automatic correction message is generated for the target image.

[0021] In one of the embodiments, after performing artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image, the method further includes:

[0022] Acquire a processing time for performing artifact correction processing on the target image;

[0023] Determining a processing frequency of the artifact correction processing according to the processing time;

[0024] When the processing frequency exceeds a preset threshold, an alarm signal is generated for the acquisition device of the target image.

[0025] In a second aspect, the present application also provides a magnetic resonance system. The system includes a display and a processor;

[0026] The display is used to display the target image and an artifact correction button of the target image when the artifact detection result of the target image meets the preset result; the preset result includes that there are artifacts in the target image;

[0027] The processor is configured to perform artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image;

[0028] The display is also used to display the corrected image.

[0029] In a third aspect, the present application further provides an image processing device. The device comprises:

[0030] An acquisition module, used for acquiring a target image and an artifact detection result of the target image;

[0031] A generating module, configured to generate an artifact correction button for the target image when the artifact detection result meets a preset result; the preset result includes that there are artifacts in the target image;

[0032] The correction module is used to perform artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image.

[0033] In a fourth aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0034] Acquire a target image and an artifact detection result of the target image;

[0035] When the artifact detection result meets the preset result, an artifact correction button of the target image is generated; the preset result includes that there are artifacts in the target image;

[0036] In response to a trigger operation on the artifact correction button, the target image is subjected to artifact correction processing to obtain a corrected image of the target image.

[0037] In a fifth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0038] Acquire a target image and an artifact detection result of the target image;

[0039] When the artifact detection result meets the preset result, an artifact correction button of the target image is generated; the preset result includes that there are artifacts in the target image;

[0040] In response to a trigger operation on the artifact correction button, the target image is subjected to artifact correction processing to obtain a corrected image of the target image.

[0041] In a sixth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0042] Acquire a target image and an artifact detection result of the target image;

[0043] When the artifact detection result meets the preset result, an artifact correction button of the target image is generated; the preset result includes that there are artifacts in the target image;

[0044] In response to a trigger operation on the artifact correction button, the target image is subjected to artifact correction processing to obtain a corrected image of the target image.

[0045] The above-mentioned image processing method, device, computer equipment, storage medium, computer program product and magnetic resonance system obtain the target image and the artifact detection result of the target image, and generate an artifact correction button for the target image when the artifact detection result meets the preset result, and perform artifact correction processing on the target image in response to the trigger operation of the artifact correction button to obtain a corrected image of the target image; the target image and the artifact detection result of the target image can be obtained at the same time, which is convenient for correcting the artifacts in the target image according to the artifact detection result, and outputting the artifact-corrected image, so that there is no need to rescan the target image with artifacts, thereby reducing the scanning time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a schematic flow chart of an image processing method in one embodiment;

[0047] Figure 2 A schematic diagram of a spark artifact in the K-space domain according to an embodiment;

[0048] Figure 3 A schematic diagram of a spark artifact in the image domain according to an embodiment;

[0049] Figure 4 A schematic diagram of a process flow of spark artifact detection and correction processing in one embodiment;

[0050] Figure 5 A schematic diagram of a human-computer interaction interface for ignition artifact detection and correction processing in one embodiment;

[0051] Figure 6 A schematic diagram of a human-computer interaction interface after ignition artifact correction in one embodiment;

[0052] Figure 7 A schematic diagram of a flow chart of spark artifact detection and correction processing in another embodiment;

[0053] Figure 8 A schematic diagram of a flow chart of spark artifact detection and correction processing in another embodiment;

[0054] Fig. 9 is a structural block diagram of an image processing device in one embodiment;

[0055] Fig.10 is a structural block diagram of a magnetic resonance system in one embodiment;

[0056] Fig.11 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0057] 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.

[0058] In one embodiment, Figure 1 As shown, an image processing method is provided. This embodiment takes the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0059] Step S110, obtaining a target image and an artifact detection result of the target image.

[0060] The target image may be a medical image of the target part, for example, a magnetic resonance image of the target part. The target part may be a part of the human body.

[0061] The artifact detection result may be a detection result of whether an artifact exists in the target image, for example, whether a sparking artifact exists in the magnetic resonance image of the target part.

[0062] In a specific implementation, the terminal can collect a target image of a target part, and can also detect whether there are artifacts in the target image, and generate an artifact detection result of the target image.

[0063] For example, the magnetic resonance system can scan the target part and generate a magnetic resonance image of the target part, and can also identify whether there is a sparking artifact in the magnetic resonance image and generate a detection result of whether there is a sparking artifact in the target part.

[0064] Step S120, when the artifact detection result meets the preset result, an artifact correction button of the target image is generated; the preset result includes that there are artifacts in the target image.

[0065] The artifact correction button may be a button for instructing to correct artifacts in the target image.

[0066] In a specific implementation, if the artifact detection result shows that there are artifacts in the target image, the terminal can display an artifact correction button, and the user can trigger the correction of the artifact by clicking the artifact correction button; otherwise, if the artifact detection result shows that there are no artifacts in the target image, there is no need to display the artifact correction button.

[0067] For example, if spark artifacts are identified in the magnetic resonance image, the magnetic resonance system can display a "correct" button and a "do not correct" button. When the user clicks the "correct" button, the correction of the spark artifact is triggered, and when the user clicks the "do not correct" button, the spark artifact is not corrected. Otherwise, if no spark artifacts are identified in the magnetic resonance image, the magnetic resonance system can directly output the magnetic resonance image.

[0068] Step S130 , in response to the triggering operation on the artifact correction button, performing artifact correction processing on the target image to obtain a corrected image of the target image.

[0069] In a specific implementation, when the user triggers an artifact correction button, the terminal can automatically correct the artifacts in the target image and generate a corrected image of the target image.

[0070] For example, if the user clicks the "correct" button, the magnetic resonance system can automatically correct spark artifacts in the magnetic resonance image, and generate and output a magnetic resonance image without spark artifacts.

[0071] The above-mentioned image processing method obtains the target image and the artifact detection result of the target image, generates an artifact correction button for the target image when the artifact detection result meets the preset result, and performs artifact correction processing on the target image in response to the trigger operation of the artifact correction button to obtain a corrected image of the target image; the target image and the artifact detection result of the target image can be obtained at the same time, which is convenient for correcting the artifacts in the target image according to the artifact detection result, and outputting the artifact-corrected image, so that there is no need to rescan the target image with artifacts, thereby reducing the scanning time.

[0072] In one embodiment, the above step S110 may specifically include: acquiring a K-space data set of the target part; performing Fourier transform on the K-space data set to obtain a target image; and performing artifact detection processing on the K-space data set to obtain an artifact detection result of the target image.

[0073] The K-space data set may be a set of K-space data collected by a magnetic resonance system.

[0074] In a specific implementation, the terminal can scan the target part to obtain a K-space data set of the target part, perform Fourier transform on the K-space data set to obtain a target image of the target part, and perform artifact detection on the K-space data set to obtain a detection result of whether there are artifacts in the target image.

[0075] For example, the magnetic resonance system can scan the target area to obtain K-space domain data of the target area, perform Fourier transform on the K-space domain data to obtain a magnetic resonance image of the target area, and perform artifact detection in the K-space domain to obtain detection results of whether there are spark artifacts in the magnetic resonance image.

[0076] In this embodiment, a K-space data set of a target part is acquired; Fourier transform is performed on the K-space data set to obtain a target image; and artifact detection processing is performed on the K-space data set to obtain an artifact detection result of the target image. The artifact detection result of the target image can be outputted while the target image is outputted. The target image is processed according to the artifact detection result, and artifacts in the target image can be automatically removed, thereby improving image processing efficiency and reducing image processing time.

[0077] In one embodiment, the above-mentioned step S110 may further specifically include: performing Fourier transform on the K-space data set of the target part to obtain a target image; performing artifact detection processing on the K-space data set to obtain a first artifact detection result of the target image; and performing artifact detection processing on the target image to obtain a second artifact detection result of the target image.

[0078] The first artifact detection result may be an artifact detection result in the K-space domain.

[0079] The second artifact detection result may be an artifact detection result in the image domain.

[0080] In a specific implementation, the terminal can perform Fourier transform on the K-space data set of the target part to obtain a target image of the target part, and can also perform artifact detection on the K-space data set to obtain a first artifact detection result of whether there is a spark artifact in the target image, and perform artifact detection on the target image to obtain a second artifact detection result of whether there is a spark artifact in the target image.

[0081] For example, the magnetic resonance system can scan the target area to obtain K-space domain data of the target area, perform Fourier transform on the K-space domain data to obtain a magnetic resonance image in the image domain, perform artifact detection on the K-space domain and the image domain respectively, and obtain a first artifact detection result in the K-space domain and a second artifact detection result in the image domain.

[0082] In this embodiment, a target image is obtained by performing Fourier transform on the K-space data set of the target part; artifact detection processing is performed on the K-space data set to obtain a first artifact detection result of the target image; and artifact detection processing is performed on the target image to obtain a second artifact detection result of the target image. The K-space domain and the image domain can be combined to obtain a more accurate artifact detection result, thereby improving the accuracy of artifact correction.

[0083] In one embodiment, the above step S120 may specifically include: generating an artifact correction button when both the first artifact detection result and the second artifact detection result meet the preset result, or when only the first artifact detection result meets the preset result.

[0084] In a specific implementation, if both the first artifact detection result and the second artifact detection result are artifact-free, or only the first artifact detection result is artifact-free, an artifact correction button can be generated on the terminal; otherwise, if both the first artifact detection result and the second artifact detection result are artifact-free, or only the second artifact detection result is artifact-free, the terminal does not need to generate an artifact correction button.

[0085] For example, if artifacts are detected in both the K-space domain and the image domain, a "Correction" button and a "No Correction" button are displayed on the magnetic resonance system; if artifacts are detected in the K-space domain and no artifacts are detected in the image domain, a "Correction" button and a "No Correction" button are displayed on the magnetic resonance system; if no artifacts are detected in both the K-space domain and the image domain, the magnetic resonance system directly outputs the magnetic resonance image; if no artifacts are detected in the K-space domain and artifacts are detected in the image domain, the magnetic resonance system directly outputs the magnetic resonance image.

[0086] In this embodiment, by generating an artifact correction button when both the first artifact detection result and the second artifact detection result meet the preset result, or when only the first artifact detection result meets the preset result, a more accurate artifact detection result can be obtained by combining the K-space domain and the image domain, thereby improving the accuracy of artifact correction.

[0087] In one embodiment, after the above step S110, it may further specifically include: when the artifact detection result meets the preset result, performing artifact correction processing on the target image to obtain a corrected image of the target image; and generating an automatic correction message for the target image.

[0088] In the specific implementation, after obtaining the target image and the artifact detection result of the target image, if the artifact detection result is that there is an artifact, the terminal can directly correct the artifact in the target image, obtain the corrected image of the target image, and generate an automatic correction message to notify the user that the artifact in the target image has been automatically corrected.

[0089] For example, after the magnetic resonance system scans and obtains a magnetic resonance image and obtains an artifact detection result of the magnetic resonance image, if the artifact detection result is that there is an artifact, the magnetic resonance system can directly perform artifact correction, output the artifact-corrected magnetic resonance image, and generate an automatic correction message at the same time, indicating that the artifact in the magnetic resonance image has been automatically corrected; otherwise, if the artifact detection result is that there is no artifact, the magnetic resonance image obtained by scanning is directly output.

[0090] In this embodiment, when the artifact detection result meets the preset result, the target image is subjected to artifact correction processing to obtain a corrected image of the target image; an automatic correction message is generated for the target image, and the artifact-corrected image can be directly output without human interaction, thereby improving the efficiency of image processing.

[0091] In one embodiment, after the above step S130, it may also specifically include: obtaining the processing time of performing artifact correction processing on the target image; determining the processing frequency of the artifact correction processing according to the processing time; and generating an alarm signal for the acquisition device of the target image when the processing frequency exceeds a preset threshold.

[0092] The processing time may be the time of performing artifact correction.

[0093] The acquisition device may be a medical image acquisition device, such as a magnetic resonance system.

[0094] In a specific implementation, the terminal can record the processing time each time the target image is subjected to artifact correction processing, and count the processing frequency of the artifact correction based on the processing time, and compare the processing frequency with a preset threshold. If the processing frequency exceeds the preset threshold, an alarm signal is generated to notify maintenance personnel to repair the terminal; otherwise, if the processing frequency does not exceed the preset threshold, there is no need to generate an alarm signal.

[0095] For example, the magnetic resonance system records the time of each artifact correction, and counts the number of artifact corrections per unit time based on the recorded time to obtain the processing frequency of the artifact correction. If the processing frequency exceeds a preset threshold, an alarm is generated to notify maintenance personnel to check and repair the magnetic resonance system.

[0096] In this embodiment, by obtaining the processing time of performing artifact correction processing on the target image; determining the processing frequency of the artifact correction processing based on the processing time; and generating an alarm signal for the acquisition device of the target image when the processing frequency exceeds a preset threshold, the failure of the acquisition device can be discovered in time, so that the acquisition device can be repaired in time.

[0097] In order to facilitate those skilled in the art to have a deeper understanding of the embodiments of the present application, a specific example will be described below.

[0098] like Figure 2 and Figure 3 As shown, spark artifacts appear as randomly appearing bright spots (sparks) in the K-space domain and as diagonal artifacts in the image domain. Automatically detecting whether there are spark artifacts in the image and correcting the image with spark artifacts has important clinical significance.

[0099] Based on this, the present application proposes a spark artifact detection and correction method, which is used to deploy the detection and correction of spark artifacts on a magnetic resonance system, and the magnetic resonance system actively detects spark artifacts and automatically corrects them.

[0100] Specifically, the spark artifact detection and correction method may include: a spark artifact detection module, a user interaction module and a spark artifact correction module. The spark artifact detection module may detect whether there is a spark artifact in the magnetic resonance scan data based on the K-space domain or image data; the user interaction module may, after detecting the spark artifact, remind the user that the spark artifact appears in the image and provide the user with an interface for spark artifact correction; the spark artifact correction module may locate the location of the spark artifact in the K-space domain and then use a correction algorithm to eliminate the spark artifact.

[0101] Figure 4 A flowchart of spark artifact detection and correction processing is provided. Figure 4 The MRI system can obtain the K-space data of the target part by scanning the pipeline (channel) and detect the spark artifact in the K-space domain. The spark artifact detection can be selected to be performed in the online pipeline, that is, the detection is completed before the image is output. If the spark artifact is detected by the spark artifact detection algorithm, the MRI system will remind the user that the spark artifact is detected. The reminder method includes but is not limited to a pop-up window reminder, and provides the user with an interface for whether to perform spark artifact correction, such as Figure 5 As shown, if the user selects "Cancel", that is, not to correct the spark artifact, the whole process ends. Otherwise, if the user selects "OK", that is, to correct the spark artifact, the magnetic resonance system will call the spark artifact correction module to correct the spark artifact, output images with spark artifacts and images without spark artifacts, and prompt the user that the spark artifact correction has been completed, as shown in FIG. Figure 6As shown, the whole process ends.

[0102] It should be noted that after the spark artifact is detected, the time, frequency, data and other information of the spark artifact can be automatically stored in the log. If multiple spark artifacts occur in a short period of time, the system will remind the user that multiple spark artifacts occur in a hardware unit of the magnetic resonance system, and the user is required to contact a maintenance engineer for investigation and repair.

[0103] Figure 7 Another flowchart of spark artifact detection and correction processing is provided. Figure 7 , spark artifact detection and correction can be performed in combination with the K-space domain and the image domain. The magnetic resonance system scans the pipeline to obtain the K-space data of the target part, and performs spark artifact detection based on the K-space data. Spark artifact detection can also be performed based on the image domain after the image is output. If spark artifacts are detected in both the K-space domain and the image domain, or only in the K-space domain, the spark artifact correction interface is provided to the user, and the user chooses whether to correct the spark artifact; otherwise, if spark artifacts are not detected in both the K-space domain and the image domain, or only in the image domain, the process ends normally.

[0104] Figure 8 Another flowchart of spark artifact detection and correction processing is provided. Figure 8 , and online spark artifact detection and correction can also be achieved. The magnetic resonance system scanning pipeline obtains the K-space data of the target part, and performs spark artifact detection based on the K-space data. If there is a spark artifact, the spark artifact is corrected online, and an image without spark artifact is output. The user is reminded that the spark artifact has been automatically corrected, and the image before and after the spark artifact correction is output; otherwise, if there is no spark artifact, the magnetic resonance image is directly output and the process ends. This workflow integrates the spark artifact detection and correction function into the online scanning pipeline, which can complete the artifact detection and correction without interacting with the user and only requires one pipeline call.

[0105] The above-mentioned spark artifact detection and correction focuses on detecting artifacts in the K-space domain. Detection can be performed before outputting images, saving users' scanning time. The spark artifact detection and correction functions can be more reasonably deployed in the magnetic resonance imaging system, so that users can use the spark artifact detection and correction functions more conveniently.

[0106] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0107] Based on the same inventive concept, the embodiment of the present application also provides an image processing device and a magnetic resonance system for implementing the above-mentioned image processing method. The implementation scheme for solving the problem provided by the image processing device and the magnetic resonance system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more of the image processing device and magnetic resonance system embodiments provided below can refer to the above-mentioned limitations on the image processing method, and will not be repeated here.

[0108] In one embodiment, Fig. 9 As shown, an image processing device is provided, including: an acquisition module 210, a generation module 220 and a correction module 230, wherein:

[0109] An acquisition module 210 is used to acquire a target image and an artifact detection result of the target image;

[0110] A generating module 220, configured to generate an artifact correction button for the target image when the artifact detection result meets a preset result; the preset result includes that there are artifacts in the target image;

[0111] The correction module 230 is used to perform artifact correction processing on the target image in response to the triggering operation of the artifact correction button to obtain a corrected image of the target image.

[0112] In one embodiment, the acquisition module 210 is further used to acquire a K-space data set of a target part; perform Fourier transform on the K-space data set to obtain the target image; and perform artifact detection processing on the K-space data set to obtain the artifact detection result of the target image.

[0113] In one embodiment, the acquisition module 210 is further used to perform Fourier transform on the K-space data set of the target part to obtain the target image; perform artifact detection processing on the K-space data set to obtain a first artifact detection result of the target image; and perform artifact detection processing on the target image to obtain a second artifact detection result of the target image.

[0114] In one embodiment, the generation module 220 is further configured to generate the artifact correction button when both the first artifact detection result and the second artifact detection result meet the preset result, or when only the first artifact detection result meets the preset result.

[0115] In one embodiment, the image processing apparatus further includes:

[0116] An automatic correction module, used for performing artifact correction processing on the target image to obtain the corrected image of the target image when the artifact detection result meets the preset result;

[0117] The correction message module is used to generate an automatic correction message for the target image.

[0118] In one embodiment, the image processing apparatus further includes:

[0119] A time acquisition module, used for acquiring a processing time of performing artifact correction processing on the target image;

[0120] A frequency determination module, used to determine the processing frequency of the artifact correction processing according to the processing time;

[0121] The alarm signal module is used to generate an alarm signal for the acquisition device of the target image when the processing frequency exceeds a preset threshold.

[0122] In one embodiment, Fig.10 As shown, a magnetic resonance system is provided, including: a display 310 and a processor 320, wherein:

[0123] The display 310 is used to display the target image and an artifact correction button of the target image when the artifact detection result of the target image meets the preset result; the preset result includes that there are artifacts in the target image;

[0124] The processor 320 is configured to perform artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image;

[0125] The display 310 is also used to display the corrected image.

[0126] Each module in the above-mentioned image processing device and magnetic resonance system can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0127] 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.11 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. 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 input / output interface of the computer device is used to exchange information between the processor and the external device. 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 implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, an image processing method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen 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 shell, or an external keyboard, touchpad or mouse.

[0128] Those skilled in the art will understand that Fig.11 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.

[0129] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0130] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0131] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0132] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0133] Those skilled 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 the memory, database or other medium used in the embodiments provided in the present 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, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. 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). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0134] The technical features of the above embodiments may be arbitrarily combined. 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.

[0135] The above-described 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 present application. 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 present application shall be subject to the attached claims.

Claims

1. An image processing method, characterized in that: The method comprises: Acquire a target image and an artifact detection result of the target image; When the artifact detection result meets the preset result, an artifact correction button of the target image is generated; the preset result includes that there are artifacts in the target image; In response to a trigger operation on the artifact correction button, the target image is subjected to artifact correction processing to obtain a corrected image of the target image.

2. The method according to claim 1, characterized in that The acquiring of the target image and the artifact detection result of the target image comprises: Acquire a K-space data set of the target part; Performing Fourier transform on the K-space data set to obtain the target image, and performing artifact detection processing on the K-space data set to obtain the artifact detection result of the target image.

3. The method according to claim 1, characterized in that The acquiring of the target image and the artifact detection result of the target image also includes: Performing Fourier transform on the K-space data set of the target part to obtain the target image; Performing artifact detection processing on the K-space data set to obtain a first artifact detection result of the target image, and performing artifact detection processing on the target image to obtain a second artifact detection result of the target image.

4. The method according to claim 3, characterized in that The step of generating an artifact correction button for the target image when the artifact detection result meets a preset result includes: The artifact correction button is generated when both the first artifact detection result and the second artifact detection result meet the preset result, or when only the first artifact detection result meets the preset result.

5. The method according to claim 1, characterized in that After acquiring the target image and the artifact detection result of the target image, the method further includes: When the artifact detection result meets the preset result, performing artifact correction processing on the target image to obtain the corrected image of the target image; An automatic correction message is generated for the target image.

6. The method according to claim 1, characterized in that After performing artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image, the method further includes: Acquire a processing time for performing artifact correction processing on the target image; Determining a processing frequency of the artifact correction processing according to the processing time; When the processing frequency exceeds a preset threshold, an alarm signal is generated for the acquisition device of the target image.

7. A magnetic resonance system, characterized in that: The system includes a display and a processor; The display is used to display the target image and an artifact correction button of the target image when the artifact detection result of the target image meets the preset result; the preset result includes that there are artifacts in the target image; The processor is configured to perform artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image; The display is also used to display the corrected image.

8. An image processing device, characterized in that: The device comprises: An acquisition module, used for acquiring a target image and an artifact detection result of the target image; A generating module, configured to generate an artifact correction button for the target image when the artifact detection result meets a preset result; the preset result includes that there are artifacts in the target image; The correction module is used to perform artifact correction processing on the target image in response to a trigger operation on the artifact correction button to obtain a corrected image of the target image.

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 6 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 6 are implemented.

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