Magnetoacoustic control method and system for integrated magnetoacoustic detection

Abstract

The present application relates to the field of integrated magnetic-acoustic detection, and discloses a magnetic-acoustic control method and system for integrated magnetic-acoustic detection, the method comprising: obtaining multiple magnetic-acoustic images corresponding to multiple ultrasonic excitation positions, and determining the magnetic-acoustic image sequence characteristics of the multiple magnetic-acoustic images; when the magnetic-acoustic image sequence characteristics meet the first condition, the subsequent magnetic-acoustic images of the multiple magnetic-acoustic images are identified according to the first precision to obtain the first detection result image; when the magnetic-acoustic image sequence characteristics meet the second condition, the subsequent magnetic-acoustic images of the multiple magnetic-acoustic images are identified according to the second precision to obtain the second detection result image. The target area in each magnetic-acoustic image and the target area area of ​​each target area are determined by an edge detection algorithm; the first condition includes that the target area area increase corresponding to the multiple magnetic-acoustic images is greater than or equal to 0. The present application can improve the detection effect and data processing speed during integrated magnetic-acoustic detection.

Description

Technical Field

[0001] The present application relates to the technical field of integrated magnetic and acoustic detection, and more specifically, to a magnetic and acoustic control method and system for integrated magnetic and acoustic detection. Background Art

[0002] Magnetoacoustic imaging technology can use electromagnetic fields and ultrasound to detect the physiological functions and pathological mechanisms of the human body, making the detection results more accurate. In integrated magnetic-acoustic testing, data processing is a crucial link. Since magnetic-acoustic images contain a large amount of information, this information needs to be deeply analyzed and processed by a dedicated data processing module. The data processing module is responsible for processing a large number of magnetic-acoustic images, including grayscale adjustment, noise filtering, feature extraction and other complex multi-step processing. These data processing steps are crucial to improving image quality and enhancing diagnostic accuracy.

[0003] However, as the amount of image data continues to increase, the processing time also increases, which not only affects the detection efficiency, but may also lead to a longer exposure time of the subject in the strong magnetic field, thus bringing potential health risks. Since the data processing of magnetic-acoustic integrated detection is crucial to ensure the accuracy and effectiveness of magnetic-acoustic integrated detection, it is necessary to improve the data processing speed of magnetic-acoustic integrated detection while ensuring the effect of magnetic-acoustic integrated detection. This is also an important challenge and development direction facing the current magnetic-acoustic integrated detection technology. Summary of the invention

[0004] The purpose of this application is to provide a magneto-acoustic control method and system for magneto-acoustic integrated detection, which solves the technical problems of insufficient detection effect and data processing speed during magneto-acoustic integrated detection, and achieves the technical effect of improving the detection effect and data processing speed during magneto-acoustic integrated detection.

[0005] An embodiment of the present application provides a magnetoacoustic control method for integrated magnetoacoustic detection, the method comprising: acquiring multiple magnetoacoustic images corresponding to multiple ultrasonic excitation positions, and determining magnetoacoustic image sequence characteristics of the multiple magnetoacoustic images; wherein the multiple ultrasonic excitation positions are evenly arranged; when the magnetoacoustic image sequence characteristics meet a first condition, identifying subsequent magnetoacoustic images of the multiple magnetoacoustic images according to a first accuracy to obtain a first detection result image; when the magnetoacoustic image sequence characteristics meet a second condition, identifying subsequent magnetoacoustic images of the multiple magnetoacoustic images according to a second accuracy to obtain a second detection result image; wherein the first accuracy is greater than the second accuracy.

[0006] In a possible implementation, determining a magnetic acoustic image sequence feature of a plurality of magnetic acoustic images includes: determining a target region in each magnetic acoustic image and a target region area of ​​each target region by an edge detection algorithm, and determining that the magnetic acoustic image sequence feature is a target region area increase of the target region areas respectively corresponding to the plurality of magnetic acoustic images; a first condition includes that the target region area increases respectively corresponding to the plurality of magnetic acoustic images are all greater than or equal to 0, and a second condition includes that the target region area increase corresponding to at least one magnetic acoustic image is less than 0.

[0007] In another possible implementation, determining the magnetic acoustic image sequence characteristics of multiple magnetic acoustic images also includes: determining the number of segments of the target area boundary in each magnetic acoustic image through an edge detection algorithm, and determining the magnetic acoustic image sequence characteristics as a quantitative increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images; the first condition also includes that the quantitative increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images is less than a preset quantitative increase value, and the second condition also includes that the quantitative increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images is greater than or equal to the preset quantitative increase value.

[0008] In another possible implementation, the method also includes: when the number of first detection result images is greater than or equal to a first number, determining the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the first number of first detection result images; when the number of second detection result images is greater than or equal to a second number, determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the second number of second detection result images.

[0009] In another possible implementation, detection adjustment parameters of a magnetic acoustic detection head of a magnetic acoustic detection device are determined based on a first number of first detection result images, including: determining the number of second detection result images between adjacent first detection result images, when the number of second detection result images between adjacent first detection result images is less than a preset second detection result number, aligning adjacent first detection result images, and determining detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the adjacent first detection result images after image alignment.

[0010] In another possible implementation, determining the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on a first number of first detection result images also includes: determining multiple detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on adjacent first detection result images after alignment of multiple images, and determining multiple change amplitudes of multiple adjacent detection adjustment parameters in a detection order; determining the minimum change amplitude among the multiple change amplitudes, and determining the average of the two detection adjustment parameters corresponding to the minimum change amplitude as the final detection adjustment parameter of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0011] In another possible implementation, the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined based on a second number of second detection result images, including: determining the number of first detection results between the second number of second detection results, when the number of first detection results between the second number of second detection results is less than the preset number of first detection results, determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device respectively according to the second number of second detection results, and determining the average value of the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device as the final direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0012] In another possible implementation, determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the second number of second detection result images also includes: when the number of first detection results between the second number of second detection results is greater than or equal to the preset number of first detection results, determining the intermediate second detection results in the detection sequence among the second number of second detection results, and determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device corresponding to the intermediate second detection results as the final direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0013] An embodiment of the present application also provides a magneto-acoustic control system for integrated magneto-acoustic detection, comprising a unit for executing any of the methods described above.

[0014] An embodiment of the present application also provides a magneto-acoustic control system for integrated magneto-acoustic detection, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0015] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above items is implemented.

[0016] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of any of the methods described above when executed by a processor.

[0017] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0018] The embodiment of the present application provides a magnetic-acoustic control method for magnetic-acoustic integrated detection, the method comprising: obtaining multiple magnetic-acoustic images corresponding to multiple ultrasonic excitation positions, and determining the magnetic-acoustic image sequence characteristics of the multiple magnetic-acoustic images; wherein the multiple ultrasonic excitation positions are evenly arranged; when the magnetic-acoustic image sequence characteristics meet the first condition, the subsequent magnetic-acoustic images of the multiple magnetic-acoustic images are identified according to the first precision to obtain the first detection result image; when the magnetic-acoustic image sequence characteristics meet the second condition, the subsequent magnetic-acoustic images of the multiple magnetic-acoustic images are identified according to the second precision to obtain the second detection result image; wherein the first precision is greater than the second precision. The method in the embodiment of the present application can judge whether it is necessary to perform high-precision identification of the magnetic-acoustic images according to the magnetic-acoustic image sequence characteristics of the multiple magnetic-acoustic images, improve the processing speed of the multiple magnetic-acoustic images, and can improve the data processing speed of the magnetic-acoustic integrated detection while ensuring the magnetic-acoustic integrated detection effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0020] Figure 1 A schematic flow chart of a magneto-acoustic control method for magneto-acoustic integrated detection provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the working process of a magneto-acoustic control method for magneto-acoustic integrated detection provided in an embodiment of the present application;

[0022] Figure 3 A schematic flow chart of a second magnetic-acoustic control method for integrated magnetic-acoustic detection provided in an embodiment of the present application;

[0023] Figure 4 A schematic diagram of the logical structure of a magneto-acoustic control system for magneto-acoustic integrated detection provided in an embodiment of the present application;

[0024] Figure 5 A schematic diagram of the physical structure of a magneto-acoustic control system for integrated magneto-acoustic detection provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0026] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0028] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0029] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0030] The existing integrated magnetic-acoustic equipment is difficult to ensure the integrated magnetic-acoustic detection effect while improving the data processing speed of the integrated magnetic-acoustic detection.

[0031] Based on the above reasons, the embodiment of the present application provides a magnetic-acoustic control method for magnetic-acoustic integrated detection, the method comprising: obtaining multiple magnetic-acoustic images corresponding to multiple ultrasonic excitation positions, and determining the magnetic-acoustic image sequence characteristics of the multiple magnetic-acoustic images; wherein the multiple ultrasonic excitation positions are evenly arranged; when the magnetic-acoustic image sequence characteristics meet the first condition, the subsequent magnetic-acoustic images of the multiple magnetic-acoustic images are identified according to the first precision to obtain the first detection result image; when the magnetic-acoustic image sequence characteristics meet the second condition, the subsequent magnetic-acoustic images of the multiple magnetic-acoustic images are identified according to the second precision to obtain the second detection result image; wherein the first precision is greater than the second precision. The method in the embodiment of the present application can judge whether it is necessary to perform high-precision identification of the magnetic-acoustic images according to the magnetic-acoustic image sequence characteristics of the multiple magnetic-acoustic images, improve the processing speed of the multiple magnetic-acoustic images, and can improve the data processing speed of the magnetic-acoustic integrated detection while ensuring the magnetic-acoustic integrated detection effect.

[0032] In some scenarios, a magnetoacoustic control method for integrated magnetoacoustic detection in an embodiment of the present application can be applied to induction magnetoacoustic tomography. Through the coupling of electromagnetic field and ultrasonic field, the electrical property distribution of tissue can be displayed with high resolution and high accuracy, which helps to quickly distinguish between diseased tissue and normal tissue.

[0033] The following is a detailed description of a magneto-acoustic control method for magneto-acoustic integrated detection provided in an embodiment of the present application with reference to specific examples.

[0034] Figure 1 A flow chart of a magneto-acoustic control method for magneto-acoustic integrated detection provided in an embodiment of the present application is shown as follows: Figure 1 As shown, the method includes S110 to S120, and S110 to S120 are described in detail below.

[0035] S110, acquiring a plurality of magnetoacoustic images corresponding to a plurality of ultrasonic excitation positions, and determining magnetoacoustic image sequence features of the plurality of magnetoacoustic images, wherein the plurality of ultrasonic excitation positions are evenly arranged.

[0036] In the embodiment of the present application, when performing magnetoacoustic detection, multiple magnetoacoustic images corresponding to multiple ultrasonic excitation positions can be obtained. The multiple ultrasonic excitation positions are evenly arranged so that the multiple ultrasonic excitation positions can obtain multiple magnetoacoustic images through inductive magnetoacoustic tomography, so that the difference in detection positions and detection angles corresponding to the multiple magnetoacoustic images are uniform values.

[0037] After obtaining multiple magnetoacoustic images, magnetoacoustic image sequence features of the multiple magnetoacoustic images can be determined. The magnetoacoustic image sequence features characterize the features of the multiple magnetoacoustic images in the detection order, and then the detection strategy of the magnetoacoustic detection device can be determined based on the magnetoacoustic image sequence features of the multiple magnetoacoustic images.

[0038] S120: When the sequence characteristics of the magnetic-acoustic images meet the first condition, the subsequent magnetic-acoustic images of the plurality of magnetic-acoustic images are identified according to the first precision to obtain a first detection result image. When the sequence characteristics of the magnetic-acoustic images meet the second condition, the subsequent magnetic-acoustic images of the plurality of magnetic-acoustic images are identified according to the second precision to obtain a second detection result image. The first precision is greater than the second precision.

[0039] When determining the detection strategy of a magnetoacoustic detection device based on the magnetoacoustic image sequence characteristics of multiple magnetoacoustic images, when the magnetoacoustic image sequence characteristics meet a first condition, subsequent magnetoacoustic images of the multiple magnetoacoustic images can be identified according to a first accuracy to obtain a first detection result image, and corresponding detection result suggestions can be marked in the first detection result image.

[0040] Exemplarily, when a subsequent magnetoacoustic image of a plurality of magnetoacoustic images is identified according to a first accuracy to obtain a first detection result image, the first detection result image may be determined and identified by an image recognition method based on deep learning.

[0041] Exemplarily, when a subsequent magnetoacoustic image is identified according to a first accuracy to obtain a first detection result image, the resolution of the subsequent magnetoacoustic image can be first increased, and the first detection result image can be determined through a larger-scale magnetoacoustic image detection model to improve the detection accuracy of the first detection result image.

[0042] When determining the detection strategy of the magnetoacoustic detection device according to the magnetoacoustic image sequence characteristics of the plurality of magnetoacoustic images, when the magnetoacoustic image sequence characteristics meet the second condition, the subsequent magnetoacoustic images of the plurality of magnetoacoustic images are identified according to the second precision to obtain a second detection result image, and the second detection result image may be annotated with a corresponding detection result suggestion. The first precision is greater than the second precision.

[0043] Exemplarily, when a subsequent magnetoacoustic image of a plurality of magnetoacoustic images is identified according to a second accuracy to obtain a second detection result image, the second detection result image may be determined and identified by an image recognition method based on deep learning.

[0044] Exemplarily, when a subsequent magnetoacoustic image is identified according to the second accuracy to obtain a second detection result image, the resolution of the subsequent magnetoacoustic image can be first reduced, and the second detection result image can be determined by a smaller-scale magnetoacoustic image detection model.

[0045] Figure 2 A schematic diagram of the working process of a magneto-acoustic control method for magneto-acoustic integrated detection provided in an embodiment of the present application is shown in FIG. Figure 2As shown, by identifying the subsequent magnetic acoustic image according to the first accuracy to obtain the first detection result image, and identifying the subsequent magnetic acoustic image according to the second accuracy to obtain the second detection result image, the first detection result image and the second detection result image can be obtained according to different accuracies, thereby saving computing resources, improving the processing speed of the magnetic acoustic image, and ensuring the recognition accuracy of the magnetic acoustic image.

[0046] The beneficial effect of the above-mentioned implementation method is that it determines whether it is necessary to perform high-precision recognition of the magnetoacoustic images based on the magnetoacoustic image sequence characteristics of multiple magnetoacoustic images, thereby improving the processing speed of multiple magnetoacoustic images, and can improve the data processing speed of magnetoacoustic integrated detection while ensuring the magnetoacoustic integrated detection effect.

[0047] The beneficial effect of the above-mentioned implementation method is that the method in the embodiment of the present application can be applied in real time in magnetic acoustic detection, which can improve the computing efficiency and detection accuracy of the magnetic acoustic detection equipment during use, and also improve the intelligence level of the magnetic acoustic detection equipment.

[0048] In some implementations, in the above S110, determining the magnetic acoustic image sequence characteristics of the multiple magnetic acoustic images includes: determining the target area in each magnetic acoustic image and the target area area of ​​each target area by an edge detection algorithm, and determining the magnetic acoustic image sequence characteristics as the target area area increase of the target area areas corresponding to the multiple magnetic acoustic images respectively.

[0049] When detecting magnetoacoustic images, the target area in each magnetoacoustic image and the target area area of ​​each target area can be determined by an edge detection algorithm. After obtaining the target area area in each magnetoacoustic image, the magnetoacoustic image sequence characteristic can be determined as a target area area increase of the target area areas corresponding to the multiple magnetoacoustic images respectively. The target area area increase represents the increase amplitude characteristics of the target area areas related to the detection target in the multiple magnetoacoustic images in the time series.

[0050] Exemplarily, when the target region in each magnetic acoustic image is determined by an edge detection algorithm, the boundaries and boundary features of multiple regions in each magnetic acoustic image can be determined by the edge detection algorithm, and the target region can be determined based on the boundaries and boundary features of the multiple regions.

[0051] Exemplarily, the target area in each magnetic-acoustic image and the target area area of ​​each target area can also be directly detected and determined by a target detection algorithm. The difference between the target detection algorithm and the edge detection algorithm is that the processing speed of the target detection algorithm is slower, while the detection speed of the edge detection algorithm is faster, which can further improve the processing speed of the magnetic-acoustic image.

[0052] In some implementations, the first condition may include that the target area increase corresponding to the multiple magnetic acoustic images is greater than or equal to 0, and the second condition includes that the target area increase corresponding to at least one magnetic acoustic image is less than 0.

[0053] After obtaining the target area area increase, it can be determined that the first condition includes that the target area area increases corresponding to the multiple magnetic acoustic images are all greater than or equal to 0, that is, the target area areas of the multiple magnetic acoustic images are all increasing, indicating that the detection effect of the target area is gradually improving at this time. At this time, the detection speed of subsequent magnetic acoustic images can be improved by the first accuracy corresponding to the first condition.

[0054] After obtaining the target region area increase, it can be determined that the second condition includes that the target region area increase corresponding to at least one magnetic acoustic image is less than 0, that is, the target region area in multiple magnetic acoustic images is not in a state of continuous increase, indicating that the detection effect of the target region is not stably improved at this time. At this time, the detection speed of subsequent magnetic acoustic images can be reduced by the second precision corresponding to the second condition, so as to ensure the processing speed of the magnetic acoustic image.

[0055] The beneficial effect of the above-mentioned implementation method is that the detection accuracy of subsequent magnetic acoustic images is determined by the target area area increase of the target area areas corresponding to multiple magnetic acoustic images, and then it can be judged whether the detection accuracy needs to be improved based on whether the detection effect of the target area is stably improved, thereby improving the recognition accuracy of key magnetic acoustic images, and can improve the recognition efficiency of non-key magnetic acoustic images, thereby improving the detection efficiency of the magnetic acoustic detection equipment.

[0056] In some implementations, in the above S110, determining the magnetic acoustic image sequence features of the multiple magnetic acoustic images further includes: determining the number of segments of the target area boundary in each magnetic acoustic image through an edge detection algorithm, and determining the magnetic acoustic image sequence feature as an increase in the number of segments of the target area boundary in the multiple magnetic acoustic images.

[0057] When detecting multiple magnetic acoustic images, the number of segments of the target area boundary in each magnetic acoustic image can be determined by an edge detection algorithm. The number of segments of the target area boundary represents the imaging quality of the boundary of the target area in the magnetic acoustic image, and the quality of the magnetic acoustic image can be evaluated according to the number of segments of the target area boundary.

[0058] After obtaining the number of segmented target region boundaries in each magnetoacoustic image, the magnetoacoustic image sequence feature can be determined as a quantitative increase value of the number of segmented target region boundaries in multiple magnetoacoustic images, and the quantitative increase value of the number of segmented target region boundaries represents the change in imaging quality of the target region.

[0059] Exemplarily, the quantitative increase value of the number of segments of the target area boundary may be the quantitative increase value of the number of segments of the target area boundary of adjacent magnetic acoustic images in the detection order; the quantitative increase value of the number of segments of the target area boundary may also be the quantitative increase value of the number of segments of the target area boundary of the first magnetic acoustic image and the second magnetic acoustic image in the detection order.

[0060] In some implementations, the first condition also includes that the number increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images is less than a preset number increase value, and the second condition also includes that the number increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images is greater than or equal to the preset number increase value.

[0061] After obtaining the quantitative increase value of the number of segments of the target area boundary, it can be determined that the first condition also includes that the quantitative increase value of the number of segments of the target area boundary in multiple magnetic acoustic images is less than the preset quantitative increase value, that is, the imaging quality of the target area in the multiple magnetic acoustic images is relatively stable. At this time, the subsequent magnetic acoustic images can be accurately detected according to the first accuracy corresponding to the first condition to ensure the detection quality of the subsequent magnetic acoustic images.

[0062] After obtaining the quantitative increase value of the number of segments of the target area boundary, it can be determined that the second condition also includes that the quantitative increase value of the number of segments of the target area boundary in multiple magnetic acoustic images is greater than or equal to the preset quantitative increase value, that is, the imaging quality of the target area in the multiple magnetic acoustic images is decreasing. At this time, the subsequent magnetic acoustic images can be quickly detected according to the second accuracy corresponding to the second condition to improve the detection speed of the subsequent magnetic acoustic images.

[0063] The beneficial effect of the above-mentioned implementation method is that when the detection accuracy of subsequent magnetic acoustic images is determined by the target area area increase of the target area areas corresponding to multiple magnetic acoustic images, the imaging quality of the boundary of the target area in the magnetic acoustic image is also determined by the number of segmentation of the target area boundary of the multiple magnetic acoustic images, and then the detection accuracy of subsequent magnetic acoustic images can be determined by the number of segmentation of the target area boundary, thereby improving the detection accuracy and detection efficiency of magnetic acoustic images.

[0064] In some implementations, the method further includes: when the number of first detection result images is greater than or equal to the first number, determining the detection adjustment parameters of the magnetic-acoustic detection head of the magnetic-acoustic detection device according to the first number of first detection result images. When the number of second detection result images is greater than or equal to the second number, determining the direction adjustment parameters of the magnetic-acoustic detection head of the magnetic-acoustic detection device according to the second number of second detection result images.

[0065] During the magnetic acoustic detection process, when the number of first detection result images is greater than or equal to the first number, it means that at this time, there are already a large number of first detection result images obtained according to the first precision detection with higher detection accuracy. At this time, the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection equipment can be determined according to the first number of first detection result images to further improve the detection accuracy of the magnetic acoustic detection head based on multiple first detection result images with higher detection accuracy.

[0066] Exemplarily, when determining the detection adjustment parameters of the magnetoacoustic detection head of the magnetoacoustic detection device based on a first number of first detection result images, the first detection result image can be identified through image, and key features and abnormal areas in the first detection result image can be identified, and then the performance of the detection head and the parameters that need to be adjusted can be judged based on the key features and abnormal areas; further, the parameters of the excitation signal, such as the excitation amplitude and frequency, can be adjusted based on the first detection result image to optimize the detection effect.

[0067] During the magnetic acoustic detection process, when the number of second detection result images is greater than or equal to the second number, it means that at this time, there are already a large number of second detection result images obtained according to the second precision detection with lower detection accuracy, and the second detection result images are detection results with poor detection effect. At this time, the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection equipment can be determined according to the second number of second detection result images, so as to timely optimize the detection effect.

[0068] Exemplarily, when determining the direction adjustment parameters of the magnetoacoustic detection head, the detection results can be optimized by setting the position and parameters of the magnetoacoustic emission signal, and the position and parameters of the receiver can be adjusted to ensure that the magnetoacoustic emission signal formed by the magnetoacoustic detection head in the alternating magnetic field can be accurately received.

[0069] The beneficial effect of the above-mentioned implementation method is that when there are already a large number of first detection result images obtained according to the first precision detection with higher detection accuracy, the detection accuracy of the magnetic acoustic detection head can be further improved based on multiple first detection result images with higher detection accuracy, and the detection effect of the magnetic acoustic image can be improved in time.

[0070] The beneficial effect of the above-mentioned implementation method is that when there are already a large number of second detection result images obtained by the second precision detection with lower detection accuracy, the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection equipment are determined according to the second number of second detection result images, so as to timely improve the detection direction of the magnetic acoustic image and improve the detection effect of the magnetic acoustic image.

[0071] In some implementations, in the above method, the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined based on a first number of first detection result images, including: determining the number of second detection result images between adjacent first detection result images, when the number of second detection result images between adjacent first detection result images is less than a preset second detection result number, aligning the adjacent first detection result images, and determining the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the adjacent first detection result images after image alignment.

[0072] When determining the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device, the number of second detection result images between adjacent first detection result images can be determined, and the number of second detection result images between adjacent first detection result images represents the detection quality of the magnetic acoustic images between adjacent first detection result images.

[0073] After obtaining the number of second detection result images between adjacent first detection result images, when the number of second detection result images between adjacent first detection result images is less than the preset second detection result number, it means that the detection stability of the magnetoacoustic images between adjacent first detection result images is better, indicating that the overall detection stability of the magnetoacoustic detection system is higher at this time, and the adjacent first detection result images can be aligned, and the detection adjustment parameters of the magnetoacoustic detection head of the magnetoacoustic detection device can be determined according to the adjacent first detection result images after image alignment, so as to realize the adjustment of the detection adjustment parameters of the magnetoacoustic detection head.

[0074] The beneficial effect of the above-mentioned implementation method is that the detection stability of the magnetic acoustic image between adjacent first detection result images is better, indicating that the overall detection stability of the magnetic acoustic detection system is relatively high at this time. The detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined according to the adjacent first detection result images after image alignment, which can improve the reliability and accuracy of determining the detection adjustment parameters of the magnetic acoustic detection head and improve the use effect of the magnetic acoustic detection device.

[0075] Figure 3 A schematic flow chart of a second magnetic-acoustic control method for integrated magnetic-acoustic detection provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, in the above method, the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined according to the first number of first detection result images, and also include S210 to S220, and S210 to S220 are specifically described below.

[0076] S210, determining a plurality of detection adjustment parameters of a magnetoacoustic detection head of a magnetoacoustic detection device according to adjacent first detection result images after alignment of a plurality of images, and determining a plurality of variation ranges of the plurality of adjacent detection adjustment parameters in a detection order.

[0077] When determining the detection adjustment parameters, multiple detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device can be determined based on adjacent first detection result images after multiple images are aligned. The multiple detection adjustment parameters respectively correspond to adjacent first detection result images after multiple images are aligned. In order to improve the accuracy of determining the final detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the multiple detection adjustment parameters, the multiple detection adjustment parameters can be further processed.

[0078] When processing a plurality of detection adjustment parameters, a plurality of change ranges of a plurality of adjacent detection adjustment parameters may be determined first according to the detection sequence, and the plurality of change ranges respectively correspond to the difference values ​​of the adjacent detection adjustment parameters in the detection sequence.

[0079] S220, determining a minimum change amplitude among multiple change amplitudes, and determining an average of two detection adjustment parameters corresponding to the minimum change amplitude as a final detection adjustment parameter of the magnetic-acoustic detection head of the magnetic-acoustic detection device.

[0080] After obtaining multiple change amplitudes, the minimum change amplitude among the multiple change amplitudes can be determined. The minimum change amplitude corresponds to adjacent detection adjustment parameters with the smallest change amplitude in the detection order, and the minimum change amplitude corresponds to the difference between adjacent detection adjustment parameters with the smallest change amplitude in the detection order.

[0081] After obtaining the adjacent detection adjustment parameters with the smallest change amplitude in the detection order corresponding to the minimum change amplitude, the average of the two detection adjustment parameters corresponding to the minimum change amplitude can be determined as the detection adjustment parameters of the magnetic acoustic detection head of the final magnetic acoustic detection equipment. This makes the detection adjustment parameters of the magnetic acoustic detection head of the final magnetic acoustic detection equipment have higher stability, thereby improving the stability of the adjustment of the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection equipment.

[0082] The beneficial effect of the above-mentioned implementation method is that, first, multiple change amplitudes of multiple adjacent detection adjustment parameters are determined according to the detection order, and the adjacent detection adjustment parameters with the smallest change amplitude in the detection order are determined, and the average of the two detection adjustment parameters corresponding to the smallest change amplitude is determined, thereby improving the stability of the detection adjustment parameter adjustment of the magnetic acoustic detection head of the magnetic acoustic detection equipment.

[0083] In some implementations, in the above method, determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the second number of second detection result images includes: determining the number of first detection results between the second number of second detection results, when the number of first detection results between the second number of second detection results is less than the preset number of first detection results, determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device respectively according to the second number of second detection results, and determining the average value of the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device as the final direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0084] When determining the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device, the number of first detection results between the second number of second detection results can be determined. The number of first detection results between the second detection results represents the number of magnetic acoustic images with better detection effects between the magnetic acoustic images with poor detection results. Furthermore, the deviation amplitude of the magnetic acoustic detection device relative to the detection state with better detection effects can be evaluated based on the number of first detection results between the second number of second detection results.

[0085] After obtaining the first detection result between the second number of second detection results, when the number of the first detection results between the second number of second detection results is less than the preset number of first detection results, it means that the deviation of the magnetic acoustic detection device relative to the detection state with better detection effect is large. At this time, the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device can be determined respectively according to the second number of second detection results, and the average value of the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device can be determined as the final direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device, and then the direction of the magnetic acoustic detection head can be adjusted according to the direction adjustment parameters of the magnetic acoustic detection head.

[0086] Exemplarily, when the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined respectively according to the second detection results of the second number, the direction adjustment parameters of the detection direction of the magnetic acoustic detection head can be determined according to image recognition to achieve adjustment of the detection position corresponding to the detection direction of the magnetic acoustic image.

[0087] The beneficial effect of the above-mentioned implementation method is that the deviation amplitude of the magnetic acoustic detection device relative to the detection state with better detection effect is evaluated according to the number of first detection results between the second number of second detection results; when the number of first detection results between the second number of second detection results is less than the preset number of first detection results, the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined, thereby improving the accuracy of the direction adjustment of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0088] The beneficial effect of the above-mentioned implementation method is that the average value of the direction adjustment parameter of the magnetic acoustic detection head of the magnetic acoustic detection device is determined as the final direction adjustment parameter of the magnetic acoustic detection head of the magnetic acoustic detection device, which can improve the reliability and accuracy of the direction adjustment of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0089] In some implementations, in the above method, determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the second number of second detection result images also includes: when the number of first detection results between the second number of second detection results is greater than or equal to the preset number of first detection results, determining the intermediate second detection results in the detection sequence among the second number of second detection results, and determining the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device corresponding to the intermediate second detection results as the final direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device.

[0090] After obtaining the number of first detection results between the second number of second detection results, when the number of first detection results between the second number of second detection results is greater than or equal to the preset number of first detection results, it means that the deviation of the magnetic acoustic detection equipment relative to the detection state with better detection effect is small.

[0091] When the deviation amplitude of the magnetic acoustic detection device relative to the detection state with better detection effect is small, the intermediate second detection result in the detection sequence of the second number of second detection results can be determined, and the direction adjustment parameter of the magnetic acoustic detection head of the magnetic acoustic detection device corresponding to the intermediate second detection result can be determined as the final direction adjustment parameter of the magnetic acoustic detection head of the magnetic acoustic detection device, so that the direction adjustment parameter of the magnetic acoustic detection head of the magnetic acoustic detection device can reflect the detection state corresponding to the intermediate second detection result in the detection sequence.

[0092] Exemplarily, when determining the middle second detection result in the detection sequence among the second number of second detection results, the middle second detection result whose detection position is the middle position among the second number of second detection results may be used.

[0093] The beneficial effect of the above-mentioned implementation method is that when the deviation amplitude of the magnetic acoustic detection device relative to the detection state with better detection effect is small, the middle second detection result in the detection sequence of the second number of second detection results is determined, and the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device corresponding to the middle second detection result are determined, and the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device corresponding to the middle second detection result can be determined, and the direction adjustment parameters of the magnetic acoustic detection head can be determined based on the middle magnetic acoustic detection position, which can improve the accuracy of determining the direction adjustment parameters of the magnetic acoustic detection device.

[0094] An embodiment of the present application also provides a magneto-acoustic control system for integrated magneto-acoustic detection, comprising a unit for executing any of the methods described above.

[0095] Figure 4 A schematic diagram of the logical structure of a magneto-acoustic control system for magneto-acoustic integrated detection provided in one embodiment of the present application is shown in FIG. Figure 4 As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12 and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12 and the transceiver unit 13 cooperate with each other to implement the above method. The beneficial effects of the embodiment of the present application have been described in the above method and will not be repeated here.

[0096] An embodiment of the present application also provides a magneto-acoustic control system for integrated magneto-acoustic detection, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0097] Figure 5 A schematic diagram of the physical structure of a magneto-acoustic control system for magneto-acoustic integrated detection provided in one embodiment of the present application is shown in FIG. Figure 5 As shown, the system 2 of this embodiment includes: at least one processor 20 ( Figure 5 Only one processor 20 is shown in the figure), a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20. When the processor 20 executes the computer program 22, the steps in any of the above-mentioned method embodiments are implemented. The beneficial effects of the embodiments of the present application have been described in the above-mentioned methods and will not be repeated here.

[0098] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0099] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0100] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0101] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0102] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0103] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0104] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0105] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0106] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0107] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A magnetic-acoustic control method for integrated magnetic-acoustic detection, characterized in that: The method comprises: Acquire a plurality of magnetoacoustic images corresponding to a plurality of ultrasonic excitation positions, respectively, and determine magnetoacoustic image sequence features of the plurality of magnetoacoustic images; wherein the plurality of ultrasonic excitation positions are evenly arranged; When the characteristics of the magnetoacoustic image sequence meet the first condition, the subsequent magnetoacoustic images of the multiple magnetoacoustic images are identified according to the first accuracy to obtain the first detection result image; when the characteristics of the magnetoacoustic image sequence meet the second condition, the subsequent magnetoacoustic images of the multiple magnetoacoustic images are identified according to the second accuracy to obtain the second detection result image; wherein the first accuracy is greater than the second accuracy.

2. The method according to claim 1, characterized in that Determine magnetoacoustic image sequence characteristics of a plurality of magnetoacoustic images, including: Determine the target region in each magnetic acoustic image and the target region area of ​​each target region by an edge detection algorithm, and determine the target region area increment of the magnetic acoustic image sequence feature as the target region areas corresponding to the plurality of magnetic acoustic images respectively; The first condition includes that the target area increase corresponding to the multiple magnetic-acoustic images is greater than or equal to 0, and the second condition includes that the target area increase corresponding to at least one magnetic-acoustic image is less than 0.

3. The method according to claim 2, characterized in that Determining magnetoacoustic image sequence features of a plurality of magnetoacoustic images also includes: Determine the number of segments of the target region boundary in each magnetic acoustic image by an edge detection algorithm, and determine the number increase value of the number of segments of the target region boundary in the plurality of magnetic acoustic images as a characteristic of the magnetic acoustic image sequence; The first condition also includes that the number increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images is less than the preset number increase value, and the second condition also includes that the number increase value of the number of segments of the target area boundary in the multiple magnetic acoustic images is greater than or equal to the preset number increase value.

4. The method according to claim 3, characterized in that The method further comprises: When the number of first detection result images is greater than or equal to the first number, the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined according to the first detection result images of the first number; when the number of second detection result images is greater than or equal to the second number, the direction adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device are determined according to the second detection result images of the second number.

5. The method according to claim 4, characterized in that Determining a detection adjustment parameter of a magnetic-acoustic detection head of a magnetic-acoustic detection device according to a first number of first detection result images includes: Determine the number of second detection result images between adjacent first detection result images. When the number of second detection result images between adjacent first detection result images is less than the preset second detection result number, align the adjacent first detection result images, and determine the detection adjustment parameters of the magnetic acoustic detection head of the magnetic acoustic detection device based on the adjacent first detection result images after image alignment.

6. The method according to claim 5, characterized in that Determining the detection adjustment parameters of the magnetic-acoustic detection head of the magnetic-acoustic detection device according to the first number of first detection result images also includes: Determine multiple detection adjustment parameters of a magnetic-acoustic detection head of a magnetic-acoustic detection device according to adjacent first detection result images after the multiple images are aligned, and determine multiple change ranges of the multiple adjacent detection adjustment parameters according to the detection order; The minimum change amplitude among the multiple change amplitudes is determined, and the average of the two detection adjustment parameters corresponding to the minimum change amplitude is determined as the detection adjustment parameter of the magnetic acoustic detection head of the final magnetic acoustic detection device.

7. A magneto-acoustic control system for magneto-acoustic integrated detection, characterized in that: Comprising means for performing the method according to any one of claims 1 to 6.

8. A magneto-acoustic control system for magneto-acoustic integrated detection, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, 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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