Model establishment method, detection method, vibration reduction device design method and device

Abstract

The embodiments of the present application provide a model establishment method, a detection method, a vibration reduction device design method and a device. By obtaining sample design parameters of the vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used to reduce vibration of the magnetic resonance system. A vibration reduction evaluation reduced-order model is obtained based on the sample design parameters and the sample vibration reduction evaluation indicators corresponding to the sample design parameters. The vibration reduction evaluation indicator of the vibration reduction device and / or the design of the vibration reduction device can be determined based on the vibration reduction evaluation reduced-order model. After the vibration reduction evaluation indicator is determined, relevant processing can be performed. When the model is used for optimization design, the vibration of the gradient coil can be reduced, thereby reducing the vibration of the magnetic resonance system, and further improving the comfort of the patient.

Description

Technical Field

[0001] The present application belongs to the field of magnetic resonance technology, and in particular relates to a model establishment method, a detection method, and a vibration reduction device design method and device. Background Art

[0002] As the strength of medical magnetic resonance systems increases, their vibration and noise issues require urgent attention. In a magnetic resonance system, a superconducting permanent magnet generates a uniform main magnetic field, and an alternating large current signal (also known as a gradient coil sequence signal) is passed through the gradient coil. While generating the gradient coil magnetic field, an alternating Lorentz force is also generated. This periodic Lorentz force causes the gradient coil to vibrate. The stronger the magnetic resonance system, the stronger the gradient coil vibration. The vibration of the gradient coil may cause the bed to vibrate, resulting in reduced patient comfort. Summary of the invention

[0003] Based on this, the embodiments of the present application provide a model building method, a detection method, a vibration reduction device design method and a device, which can improve the patient's comfort by building a model and performing abnormality detection and / or optimizing the design of the vibration reduction device through the model.

[0004] In a first aspect, an embodiment of the present application provides a method for establishing a model, comprising:

[0005] Acquiring sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used to reduce vibration of the magnetic resonance system;

[0006] A vibration reduction evaluation reduced-order model is obtained based on the sample design parameters and the sample vibration reduction evaluation indexes corresponding to the sample design parameters.

[0007] In some embodiments, the step of obtaining sample design parameters of the vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters includes:

[0008] Obtaining sample design parameters of the vibration reduction device;

[0009] generating layout information of the vibration reduction device based on the sample design parameters;

[0010] Performing modeling based on the layout information and the modeling data of the gradient coil to obtain a simulation model;

[0011] Vibration simulation is performed based on the simulation model to obtain sample vibration reduction evaluation indicators corresponding to the sample design parameters.

[0012] In some embodiments, obtaining sample design parameters of the vibration reduction device includes:

[0013] Obtain the limits and geometric constraints of the design parameters of the vibration reduction device;

[0014] A sampling algorithm is used to generate sample design parameters of the vibration reduction device based on the limit values ​​and the geometric constraints.

[0015] In a second aspect, an embodiment of the present application provides a detection method, comprising:

[0016] Acquiring a first design parameter of the vibration reduction device;

[0017] Inputting the first design parameter into the vibration reduction evaluation reduced-order model established by the method described above to determine a first vibration reduction evaluation index;

[0018] A first design parameter of the vibration reduction device is detected based on a first vibration reduction evaluation index.

[0019] The first design parameter includes: a design parameter of a target vibration reduction element, and the method further includes:

[0020] Acquire second design parameters of the vibration reduction device, wherein the second design parameters do not include only design parameters of a target vibration reduction element;

[0021] Inputting the second design parameter into the vibration reduction evaluation reduced-order model to determine a second vibration reduction evaluation index;

[0022] A vibration damping contribution degree of the target vibration damping element is determined based on the second vibration damping evaluation index and the first vibration damping evaluation index.

[0023] In a third aspect, an embodiment of the present application provides a design method for a vibration reduction device, comprising:

[0024] Obtaining initial design parameters of the vibration reduction device;

[0025] Inputting the initial design parameters into the vibration reduction evaluation reduced-order model established by the method described above to determine a third vibration reduction evaluation index;

[0026] The initial design parameters are optimized based on the third vibration reduction evaluation index and the target evaluation index to obtain target design parameters of the vibration reduction device.

[0027] In some embodiments, the optimizing the initial design parameters based on the third vibration reduction evaluation index and the target evaluation index to obtain the target design parameters of the vibration reduction device includes:

[0028] calculating a difference between the third vibration reduction evaluation index and the target evaluation index;

[0029] When the difference is greater than a preset threshold, updating the initial design parameters and performing iterative calculation based on an optimization algorithm;

[0030] When the difference between the vibration reduction evaluation index corresponding to the updated initial design parameters and the target evaluation index is less than a preset threshold or a preset stop condition is reached, the updated initial design parameters are determined as the target design parameters of the vibration reduction device, wherein the constraints of the optimization algorithm include: cost constraints and target evaluation index constraints.

[0031] In a fourth aspect, an embodiment of the present application provides a model building device, comprising:

[0032] an acquisition module, used for acquiring sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used for reducing vibration of the magnetic resonance system;

[0033] The training module is used to obtain a vibration reduction evaluation reduced-order model based on the sample design parameters and the sample vibration reduction evaluation indicators corresponding to the sample design parameters.

[0034] In a fifth aspect, an embodiment of the present application provides a detection device, including:

[0035] A second acquisition module, used to acquire a first design parameter of the vibration reduction device;

[0036] The first input module is used to input the first design parameter into the vibration reduction evaluation reduced-order model established by any of the above-mentioned model establishment methods to determine a first vibration reduction evaluation index.

[0037] In a sixth aspect, an embodiment of the present application provides a design device for a vibration reduction device, comprising:

[0038] A third acquisition module is used to acquire initial design parameters of the vibration reduction device;

[0039] A second input module, used for inputting the initial design parameters into the vibration reduction evaluation reduced-order model established by any of the above-mentioned model establishment methods to determine a third vibration reduction evaluation index;

[0040] An optimization module is used to optimize the initial design parameters based on the third vibration reduction evaluation index and the target evaluation index to obtain target design parameters of the vibration reduction device.

[0041] In a seventh aspect, an embodiment of the present application provides an electronic device, 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.

[0042] In an eighth aspect, an embodiment of the present application 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.

[0043] In a ninth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the electronic device to execute any of the methods described above.

[0044] In the tenth aspect, an embodiment of the present application provides a magnetic resonance system, comprising: a magnet, a gradient coil and a vibration reduction device, wherein the vibration reduction device is arranged between the magnet and the gradient coil, the vibration reduction device is manufactured based on target design parameters, and is laid out between the magnet and the gradient coil based on layout information in the target design parameters, wherein the target design parameters are obtained based on the design method of the vibration reduction device described above.

[0045] A method for establishing a model provided in an embodiment of the present application comprises obtaining sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil, and the vibration reduction device is used to reduce vibration of the gradient coil; a vibration reduction evaluation reduced-order model is obtained by training based on the sample design parameters and the sample vibration reduction evaluation indicators corresponding to the sample design parameters, and the vibration reduction evaluation indicators of the vibration reduction device and / or the design of the vibration reduction device can be determined based on the vibration reduction evaluation reduced-order model. After the vibration reduction evaluation indicators are determined, relevant processing can be performed. When the model is used for optimization design, the vibration of the gradient coil can be reduced, thereby reducing the vibration of the magnetic resonance system, and further improving the comfort of the patient.

[0046] It can be understood that the beneficial effects of the second to ninth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] 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.

[0048] Figure 1 A schematic diagram of the structure of a magnetic resonance system provided in an embodiment of the present application;

[0049] Figure 2 A schematic diagram of a method for establishing a model provided in an embodiment of the present application;

[0050] Figure 3 A schematic diagram of the structure of a magnetic resonance system provided in an embodiment of the present application;

[0051] Figure 4 A schematic diagram of a layout area provided in an embodiment of the present application unfolded into a plane form;

[0052] Figure 5 A schematic diagram of layout information of a vibration damping pad provided in an embodiment of the present application;

[0053] Figure 6 A schematic diagram of an implementation flow of a detection method provided in an embodiment of the present application;

[0054] Figure 7 A schematic diagram of an implementation flow of a design method for a vibration reduction device provided in an embodiment of the present application;

[0055] Figure 8 A schematic diagram of an implementation flow of a design method for a vibration reduction device provided in an embodiment of the present application;

[0056] Fig. 9 A schematic diagram of the structure of a model building device provided in an embodiment of the present application;

[0057] Fig.10 A schematic diagram of the structure of a design device for a vibration reduction device according to an embodiment of the present application;

[0058] Fig.11 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0059] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0060] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0061] 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.

[0062] 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.

[0063] As used in the specification of this application and the appended claims, 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 phrases "if it is determined" or "if it is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce detected" or "in response to detecting" depending on the context.

[0064] 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.

[0065] 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 phrases "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. appearing 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.

[0066] Before introducing the embodiments of the present application, a brief introduction is given to the problems in the related art and in the related art: As the strength of the magnetic resonance system in medicine becomes stronger and stronger, its vibration and noise problems need urgent attention. In the magnetic resonance system, the superconducting permanent magnet generates a uniform main magnetic field, and the gradient coil is fed with an alternating large current signal (also called a gradient coil sequence signal). While generating the magnetic field of the gradient coil, an alternating Lorentz force is also generated. This periodic Lorentz force causes the gradient coil to vibrate. The greater the strength of the magnetic resonance system, the stronger the vibration of the gradient coil.

[0067] There is a complex transmission path from the vibration of the gradient coil to the vibration of the bed. First, the gradient coil is usually supported on a magnet, and its vibration is transmitted to the magnet through the supporting device, causing the magnet to vibrate; second, the bed is supported on the magnet directly or indirectly (through a third-party object such as a volume transmit coil (VTC)) through a guide rail, and the vibration of the magnet is transmitted to the bed through the supporting device, causing the bed to vibrate, which is perceived by the patient and reduces the patient's subjective comfort.

[0068] There are various vibration transmission control devices for gradient coils and magnets, mainly including three categories: 1. The gradient coil and the magnet are physically isolated and fixed to the ground by independent support structures; 2. The gradient coil and the magnet are connected by hard wedges, flexible suspensions, sealing bags or their composites with damping layers, and vibration is reduced by connecting media; 3. Vibration-damping pads are used between the gradient coil and the magnet, usually mixed-pore foam materials with good buffering performance, which are made into sheets or rolls and then cut and used directly. The first and second types of devices are complex in design, require high installation processes, and have high labor and material costs. In addition, there are high reliability risks during use, such as wedge sliding, suspension slack, and sealing bag wrinkle leakage, which greatly limit their use in magnetic resonance systems. The third type of device has a simple structure (usually cut into rectangular sheets), is easy to install, has high reliability, and is the most widely used in magnetic resonance systems. However, the vibration damping effect of this type of device is very sensitive to its own design and layout (factors such as quantity, size, and installation location). If the device is not designed properly, it will cause the gradient coil to resonate under the excitation of the sequence signal, and eventually be transmitted to the bed, which will have the opposite effect of vibration amplification. Moreover, the manufacturing cost of the device is high. If the cost is not taken into consideration when arranging the vibration reduction, its application will be restricted to a certain extent.

[0069] Based on the technical problems of the related technology, the embodiments of the present application provide a model establishment method that can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiments of the present application do not impose any restrictions on the specific types of electronic devices.

[0070] The present application embodiment provides a method for establishing a model. Figure 1 A schematic diagram of the structure of a magnetic resonance system provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the magnetic resonance system includes: a vibration reduction device 300 is arranged between the magnet 100 and the gradient coil 200, and the vibration reduction device 300 is used to reduce the vibration of the gradient coil 200. The vibration reduction device 300 may include: at least one vibration reduction element. For example, the vibration reduction device may be a structure formed by multiple vibration reduction elements, and the vibration reduction element may be a vibration reduction pad.

[0071] Based on the structure of the magnetic resonance system shown above, the present application embodiment provides a method for establishing a model. Figure 2 A schematic diagram of a method for establishing a model provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the method includes:

[0072] Step S101, obtaining sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used to reduce vibration of the magnetic resonance system.

[0073] In the embodiment of the present application, the sample design parameters may include: geometric parameters, structural parameters and layout information of the vibration reduction element. The structural parameters may include: support method, connection method, etc., and the geometric parameters may include: size, shape. The layout information may include: layout position. In some embodiments, the sample design parameters also include: material information, and the material information may include: elastic modulus, density, Poisson's ratio, damping coefficient, etc. In the embodiment of the present application, the shape includes but is not limited to rectangle, trapezoid, etc.

[0074] The sample vibration reduction evaluation index may include: one or more of the natural frequency, vibration displacement, velocity, acceleration, and vibration transmissibility of the gradient coil.

[0075] In the embodiment of the present application, the vibration acceleration is used as a vibration reduction evaluation index to evaluate the effect of the vibration reduction device in reducing inertial force. The vibration speed of the vibration reduction device is used as an evaluation index to reduce the dynamic response of the equipment. In the vibration reduction evaluation, the vibration displacement is an indicator that directly reflects the vibration reduction effect. If the vibration reduction device can effectively reduce the vibration displacement of the gradient coil, it means that it plays a positive role in limiting the range of motion of the object and can improve the stability and safety of the system. The natural frequency is the frequency of the gradient coil when it is freely vibrating, which can evaluate the effectiveness of the vibration reduction device in avoiding resonance.

[0076] In the embodiment of the present application, the limit values ​​and geometric constraints of the design parameters of the vibration reduction device can be obtained; and a sampling algorithm is used based on the limit values ​​and the geometric constraints to generate sample design parameters of the vibration reduction device.

[0077] In the embodiment of the present application, the limit values ​​may include: the limit values ​​of material properties, the limit values ​​of geometric parameters. The geometric constraints may include: shape constraints, structural connection constraints, and motion range constraints.

[0078] In an embodiment of the present application, after the limits and geometric constraints are determined, a sampling algorithm can be used to generate sample design parameters. The sampling algorithm may include: uniform random sampling, Latin hypercube sampling, Gray sampling, Monte Carlo method sampling, factorial design, orthogonal design, response surface design, Latin square design, crossover experimental design, etc.

[0079] In the embodiment of the present application, the parameter space can be defined according to the limit value, and each design parameter can be sampled within the limit value range according to the selected sampling method. The design parameters obtained by sampling need to ensure that they meet the geometric constraints, so as to obtain the sample design parameters.

[0080] In the embodiment of the present application, the sample vibration reduction evaluation index can be obtained by simulation. In some embodiments, the sample vibration reduction evaluation index can also be obtained by experiment.

[0081] Step S102 : obtaining a vibration reduction evaluation reduced-order model based on the sample design parameters and the sample vibration reduction evaluation indexes corresponding to the sample design parameters.

[0082] In the embodiment of the present application, a data set can be obtained by the sample design parameters and the sample vibration reduction evaluation index corresponding to the sample design parameters, and the data set can be divided into a training set and a test set, and the model is trained by the training set, and the model is tested by the test set, so as to obtain a vibration reduction evaluation reduced-order model. During training, the sample design parameters are used as the input of the model, and the sample vibration reduction evaluation index is used as the output of the model.

[0083] In some embodiments, after the data set is acquired, the data in the data set may be cleaned and standardized, and the standardization includes but is not limited to standardization such as deviation, standard deviation, logarithm, and clipping.

[0084] In the embodiment of the present application, a suitable reduced-order model algorithm can be selected, such as a machine learning model (vector machine, KNN, decision tree, etc.), a deep learning model (convolution, loop, generative adversarial neural network, etc.), etc. The model is trained using sample design parameters and corresponding vibration reduction evaluation indicators. During the training, cross-validation and generalization validation can be performed repeatedly based on the data set to train a reduced-order model with high prediction accuracy, ensure the accuracy and generalization ability of the evaluation model, use an independent test set to verify the model performance, and optimize the parameters to improve the model effect.

[0085] In the embodiment of the present application, the reduced-order model reduces the order of the modeling and vibration simulation process, reduces the physical mechanism model to a trained artificial intelligence model, shortens the physical simulation time, and improves the prediction and optimization efficiency of the vibration reduction evaluation index.

[0086] A method for establishing a model provided in an embodiment of the present application comprises obtaining sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil, and the vibration reduction device is used to reduce vibration of the gradient coil; a vibration reduction evaluation reduced-order model is obtained by training based on the sample design parameters and the sample vibration reduction evaluation indicators corresponding to the sample design parameters, and anomaly detection and / or optimization of the design of the vibration reduction device can be performed based on the vibration reduction evaluation reduced-order model. When anomaly detection is performed through the model, relevant processing can be performed when anomalies exist in the vibration reduction evaluation reduced-order model. When optimizing the design through the model, the vibration of the gradient coil can be reduced, thereby improving the comfort of the patient.

[0087] In some embodiments, step S101 may be implemented by the following steps:

[0088] Step S1011 : generating layout information of the vibration reduction device based on the sample design parameters.

[0089] In the embodiment of the present application, layout information of the vibration reduction device can be generated through a reconstruction algorithm according to the sample design parameters.

[0090] In the embodiment of the present application, taking the vibration damping element as a vibration damping pad as an example, the layout area of ​​the vibration damping pad can be determined under the constraints of the magnet and the gradient coil. The size of the layout area is related to the size of the magnet and the gradient coil, and is also affected by the assembly level. For example, Figure 3 A schematic diagram of the structure of a magnetic resonance system provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the inner radius of the magnet is denoted as R, the outer radius of the gradient coil is denoted as r, and the thickness of the vibration damping pad is denoted as T. T=Rr must be satisfied to ensure that the gradient coil is fully supported on the magnet. The layout area of ​​the vibration damping pad is symmetrical about the left and right of the magnet and gradient coil structure. The size of the area is represented by the angle parameter θ, which is defined as the angle between the line from the outermost edge of the vibration damping pad to the center of the inner aperture of the gradient coil and the "6 o'clock" direction. This parameter is affected by the assembly process, and the value is usually less than 90°. In order to further determine θ, the parameter e that characterizes the assembly level is introduced, which is defined as the distance between the "12 o'clock" position of the outer surface of the gradient coil and the "12 o'clock" position of the inner surface of the magnet during assembly. The better the assembly level, the smaller the parameter value, usually 0.5mm-1mm. The parameter θ can be obtained by solving the following equations (1) and (2), where,

[0091] RlT=e(1);

[0092]

[0093] Expand the layout area of ​​the vibration damping pad into a plane form, determine the length and width of the area, and define the lower left corner as the coordinate origin. Figure 4 A schematic diagram of a layout area expanded into a plane form provided in an embodiment of the present application, such as Figure 4 As shown, the length of this area is recorded as L, which is preferably taken as the length of the gradient coil, and the width is recorded as W, which is determined by the parameter θ in formula (1). The calculation formula of W can be expressed as formula (3):

[0094] W = 2Rθ (3);

[0095] Read the actual design parameters P of the vibration damping pad. Taking the commonly used rectangular vibration damping pad as an example, it usually includes the number N of vibration damping pads, the width w of the vibration damping pad, and the position c, where c is defined as the horizontal distance between the center of the width direction of the vibration damping pad and the coordinate origin; the design shape of the vibration damping pad includes but is not limited to rectangle, trapezoid, etc.; perform Boolean operation on the layout area of ​​the vibration damping pad and the actual area to obtain the non-layout area, perform topological reconstruction in the layout area, and generate the actual layout of the vibration damping pad. Taking the commonly used rectangular vibration damping pad as an example, Figure 5 A schematic diagram of layout information of a vibration damping pad provided in an embodiment of the present application, such as Figure 5 As shown, the number of vibration damping pads in the actual layout is 3, and the widths of the vibration damping pads are w1, w2, w3, and the positions are c1, c2, c3. Subject to restrictions, w1, w2, w3 ≥ 50 mm is recommended to meet the ease of cutting; subject to geometric constraints, the width of the vibration damping pad is w1+w2+w3≤W, the parameters of the first vibration damping pad satisfy c1≥w1 / 2, the parameters of the second vibration damping pad satisfy c2-w2 / 2≥c1+w1 / 2, and the parameters of the third vibration damping pad satisfy c3-w3 / 2≥c2+w2 / 2, c3-w3 / 2≤W. After Boolean operation, the actual non-layout area is obtained, which is 0≤X≤c1-w1 / 2, c1+w1 / 2≤X≤c2-w2 / 2, c2+w2 / 2≤X≤c3-w3 / 2, c3+w3 / 2≤X≤W, and 0≤Y≤L. The actual non-layout area is deleted from the topology of the layout area, and the actual layout of the vibration damping pad is reconstructed. The geometric constraints are expressed as formula (4), formula (5), and formula (6), as follows:

[0096] 2c1≥w1 (4);

[0097] c i+1 -w i+1 / 2≥c i +w i / 2 (1≤i≤N) (5);

[0098] c N +w N / 2≤W (6).

[0099] Step S1012: Modeling is performed based on the layout information and the modeling data of the gradient coil to obtain a simulation model.

[0100] In the embodiment of the present application, the modeling data of the gradient coil may include: gradient coil structure data, gradient coil trajectory data, etc.

[0101] In the embodiment of the present application, the vibration reduction device and the gradient coil can be modeled to obtain a simulation model.

[0102] Step S1014: performing vibration simulation based on the simulation model to obtain sample vibration reduction evaluation indicators corresponding to the sample design parameters.

[0103] In an embodiment of the present application, when performing vibration simulation, the actual design parameter data of the vibration reduction device, the geometric data of the gradient coil entity, and the coil trajectory coordinate data can be used as input data of the simulation software, and the vibration reduction device and the gradient coil can be modeled and vibration simulated according to the preset simulation parameters. The preset simulation parameters include material data (density, elastic modulus, Poisson's ratio, etc.), load data (coil electromagnetic excitation), boundary constraint data (gradient coil and coil, gradient coil and vibration reduction element, vibration reduction element and magnet), etc.; the sample vibration reduction evaluation index of the gradient coil is calculated by the simulation software, and the sample vibration reduction evaluation index may include: the natural frequency, modal vibration shape, vibration displacement, velocity, acceleration and other data of the gradient coil and output; the simulation software includes but is not limited to ABAQUS, ANSYS, NASTRAN, etc.

[0104] The method provided in the embodiment of the present application can perform vibration simulation based on the sample design parameters to obtain corresponding vibration reduction evaluation indicators, so as to train a vibration reduction evaluation reduced-order model.

[0105] Based on the vibration reduction evaluation reduced-order model obtained in the aforementioned embodiments, the embodiments of the present application provide a detection method that can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiments of the present application do not impose any restrictions on the specific types of electronic devices.

[0106] Figure 6 A schematic diagram of the implementation process of a detection method provided in an embodiment of the present application is shown in FIG. Figure 6 As shown, including:

[0107] Step S601, obtaining the first design parameter of the vibration reduction device.

[0108] In the embodiment of the present application, the vibration reduction device may be an actually generated vibration reduction device, and the first design parameter may be an existing vibration reduction design solution.

[0109] Step S602: input the first design parameter into a vibration reduction evaluation reduced-order model to determine a first vibration reduction evaluation index.

[0110] In the embodiment of the present application, the vibration reduction evaluation reduced-order model is a model established by the model construction method in the above embodiment.

[0111] The method provided in the embodiment of the present application obtains a first design parameter of the vibration reduction device; inputs the first design parameter into a vibration reduction evaluation reduced-order model to determine a first vibration reduction evaluation index. After being applied to an existing nuclear magnetic resonance system, the vibration reduction evaluation index of the magnetic resonance system can be determined.

[0112] In some embodiments, after step S602, the method further includes: comparing the first vibration reduction evaluation index with an evaluation index threshold; and determining that vibration reduction is abnormal when the first vibration reduction evaluation index is greater than the evaluation index threshold.

[0113] In the embodiment of the present application, if the vibration reduction is abnormal, the manufacturer can be notified for maintenance, or the device can be stopped from being used.

[0114] In some embodiments, whether the first design parameter meets the design requirement may be determined based on the first vibration reduction evaluation index.

[0115] In the embodiment of the present application, an evaluation criterion is determined to analyze whether the first vibration reduction evaluation index meets the design requirements, for example, whether the first vibration reduction evaluation index is higher than a specific value and whether the maximum displacement is within an acceptable range.

[0116] In some embodiments, the first design parameter includes: a design parameter of a target vibration reduction element. After step S602, the method may further include:

[0117] Step S603: acquiring second design parameters of the vibration reduction device, wherein the second design parameters only exclude design parameters of the target vibration reduction element.

[0118] In the embodiment of the present application, the second design parameter is another set of design parameter settings for the vibration reduction device. Unlike the first design parameter, it explicitly does not include the design parameters of the target vibration reduction element. In other words, when considering other components of the vibration reduction device and their related parameters, the design parameters of the target vibration reduction element are excluded, so that the influence of the target vibration reduction element on the vibration reduction effect can be analyzed separately later.

[0119] For example, the first design parameter includes design parameters of 10 vibration-damping elements, the second design parameter may be design parameters of 9 vibration-damping elements, and the vibration-damping element corresponding to the reduced design parameter is the target vibration-damping element.

[0120] Step S604: input the second design parameter into the vibration reduction evaluation reduced-order model to determine a second vibration reduction evaluation index.

[0121] In the embodiment of the present application, when the second design parameters including only the parameters of other components are input into the vibration reduction evaluation reduced-order model, the model processes these input parameters according to its internal algorithm and learned rules, thereby outputting an index reflecting the overall vibration reduction effect of the vibration reduction device corresponding to the second design parameters in this case (i.e., without the participation of the target vibration reduction element), i.e., the second vibration reduction evaluation index.

[0122] Step S605 : determining the vibration reduction contribution of the target vibration reduction element based on the second vibration reduction evaluation index and the first vibration reduction evaluation index.

[0123] In the embodiment of the present application, a comparison and analysis is performed based on the obtained first vibration reduction evaluation index and the second vibration reduction evaluation index to determine the vibration reduction contribution of the target vibration reduction element.

[0124] In the embodiment of the present application, the first vibration reduction evaluation index is an index reflecting the vibration reduction effect of the entire vibration reduction device obtained by a corresponding method (which may also be using a vibration reduction evaluation reduced-order model or other effective evaluation means) when the design parameters of the target vibration reduction element are included. The second vibration reduction evaluation index is a similar index obtained after excluding the design parameters of the target vibration reduction element. By comparing these two indicators, it can be intuitively seen that the degree of influence of the design parameters of the target vibration reduction element on the vibration reduction effect of the entire vibration reduction device corresponding to the first design parameters, that is, the vibration reduction contribution of the target vibration reduction element.

[0125] Exemplarily, the vibration reduction evaluation index is set as the vibration transmissibility, assuming that the first vibration reduction evaluation index is the vibration transmissibility T1, and the second vibration reduction evaluation index is the vibration transmissibility T2. The method for calculating the vibration reduction contribution of the target vibration reduction element may be: vibration reduction contribution = (T2-T1) / T2×100%. For example, if T1=0.4, T2=0.6 (i.e., when the design parameters of the target vibration reduction element are excluded, the amplitude of the vibration is attenuated to 66.67% of the original after passing through the vibration reduction device), then the vibration reduction contribution = (0.6-0.4) / 0.6×100%≈33.33%. This means that the target vibration reduction element improves the vibration reduction effect of the vibration reduction device by approximately 33.33%, i.e., its contribution to vibration reduction is approximately 33.33%.

[0126] The method provided in the embodiment of the present application can determine the vibration reduction contribution of the target vibration reduction element in the entire vibration reduction device based on the existing first vibration reduction evaluation index and the second vibration reduction evaluation index, thereby providing a strong basis for further optimizing the design of the vibration reduction device, evaluating the importance of the vibration reduction components, etc.

[0127] Based on the vibration reduction evaluation reduced-order model obtained in the aforementioned embodiments, the embodiment of the present application provides a design of a vibration reduction device that can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiment of the present application does not impose any restrictions on the specific types of electronic devices.

[0128] Figure 7 A schematic diagram of the implementation flow of a design method for a vibration reduction device provided in an embodiment of the present application is shown in FIG. Figure 7 As shown, including:

[0129] Step S701, obtaining initial design parameters of the vibration reduction device.

[0130] In the embodiment of the present application, initial design parameters can be generated as required, and can include: design parameters of existing layouts with abnormal detection results, or design parameters regenerated by sampling, including but not limited to random sampling.

[0131] Step S702: input the initial design parameters into a vibration reduction evaluation reduced-order model to determine a third vibration reduction evaluation index.

[0132] Step S703: optimizing the initial design parameters based on the third vibration reduction evaluation index and the target evaluation index to obtain target design parameters of the vibration reduction device.

[0133] In the embodiment of the present application, the target evaluation index may be a set expected value.

[0134] In the embodiment of the present application, an optimization algorithm may be used for optimization, and the optimization goal is to make the third vibration reduction evaluation index approach or reach the target evaluation index by optimizing the design parameters, thereby obtaining the target design parameters of the vibration reduction device.

[0135] The method provided in the embodiment of the present application optimizes the initial design parameters by using the third vibration reduction evaluation index and the target evaluation index, and can obtain more effective target design parameters of the vibration reduction device, which can effectively improve the vibration reduction performance.

[0136] In some embodiments, step S703 may include:

[0137] Step S7031: Calculate the difference between the third vibration reduction evaluation index and the target evaluation index.

[0138] In the embodiment of the present application, the difference between the third vibration reduction evaluation index and the target evaluation index can be recorded as a loss function. The difference can be determined in the form of absolute value, fold, logarithm, mean square error, etc.

[0139] Step S7032: when the difference is greater than a preset threshold, the initial design parameters are updated and iterative calculations are performed based on an optimization algorithm.

[0140] In the embodiments of the present application, the optimization algorithms may include: global optimization algorithms (such as genetic algorithms, simulated annealing algorithms, particle swarm algorithms, difference algorithms, random search algorithms, etc.), local optimization algorithms (such as gradient coil descent algorithms, hill climbing algorithms, etc.) and two hybrid algorithms.

[0141] Step S7033: when the difference between the vibration reduction evaluation index corresponding to the updated initial design parameter and the target evaluation index is less than a preset threshold or reaches a preset stop condition, the updated initial design parameter is determined as the target design parameter of the vibration reduction device.

[0142] In the embodiment of the present application, a preset threshold value can be set, and the relationship between the difference and the preset threshold value can be compared. If the difference is less than the preset threshold value, it can be considered that the difference between the vibration reduction evaluation index corresponding to the updated initial design parameter and the target evaluation index is very small. At this time, it can be determined that the training is completed, and the updated initial design parameter is determined as the target design parameter of the vibration reduction device. In some embodiments, the preset stop condition may include: reaching the number of iterations or the third vibration reduction evaluation index does not change much.

[0143] In some embodiments, the constraints of the optimization algorithm include: cost constraints and target evaluation index constraints.

[0144] In the embodiment of the present application, for the optimization of multiple objectives, the optimization algorithm can be a multi-objective decision algorithm, which can include but is not limited to linear weighting, Pareto dominance strategy, dimension reduction / main objective method, etc.; the historical data of the iterative process can be traversed, the preset multi-objective decision algorithm can be executed, the optimal design parameters under the multi-objective constraints can be determined, and the vibration reduction device can be designed through the optimal design parameters.

[0145] Based on the above-mentioned embodiments, the present application provides a design method for a vibration reduction device, which is described below by taking the vibration reduction element including the vibration reduction pad as an example. Figure 8 A schematic diagram of the implementation flow of a design method for a vibration reduction device provided in an embodiment of the present application is shown in FIG. Figure 8 As shown, including:

[0146] Step S801 : executing a preset sampling algorithm to generate sample design parameters of a vibration reduction device including a vibration reduction pad according to the limit values ​​of the design parameters and the geometric constraints.

[0147] Step S802 , traverse the sample design parameters, execute the preset reconstruction algorithm to generate the layout information of the vibration damping pad, model the vibration damping device and the gradient coil and perform vibration simulation, and calculate the sample vibration damping evaluation index after the simulation is completed.

[0148] Step S803, determining a data set according to the sample design parameters and the sample vibration reduction evaluation index, executing a preset artificial intelligence algorithm, and training to obtain a vibration reduction evaluation reduced-order model; performing an abnormality detection on the design of the existing vibration reduction device of the gradient coil according to the vibration reduction evaluation reduced-order model, and providing a diagnosis result.

[0149] Step S804, optimizing the layout of the vibration reduction device according to the vibration reduction evaluation reduced-order model; generating initial design parameters in a preset manner, executing the vibration reduction evaluation reduced-order model to obtain the vibration reduction evaluation index, and calculating the difference between the index and the target evaluation index, iteratively executing the preset optimization algorithm, and updating the design parameter value until the preset stop condition is reached.

[0150] Step S805, according to the preset vibration reduction and cost index weights, traverse the design parameter values ​​of the iterative process, decide the optimal layout of vibration reduction and cost reduction multiple objectives, and design the vibration reduction device.

[0151] The method provided in the embodiment of the present application can combine simulation and artificial intelligence to detect abnormalities and design the ultimate cost of the vibration reduction device of the gradient coil, so as to reduce the vibration transmission between the gradient coil and the magnet, as well as the vibration transmission to the bedside, thereby improving patient comfort.

[0152] According to the aforementioned embodiments, the embodiments of the present application provide a device for establishing a model, and the modules included in the device, as well as the units included in the modules, can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, Microprocessor Unit), a digital signal processor (DSP, Digital Signal Processing) or a field programmable gate array (FPGA, Field Programmable Gate Array), etc.

[0153] The present application embodiment provides a model building device, Fig. 9 A schematic diagram of a structure of a model building device provided in an embodiment of the present application, such as Fig. 9 As shown, the model building device 900 includes:

[0154] A first acquisition module 901 is used to acquire sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used to reduce vibration of the magnetic resonance system;

[0155] The training module 902 is used to obtain a vibration reduction evaluation reduced-order model based on the sample design parameters and the sample vibration reduction evaluation indicators corresponding to the sample design parameters.

[0156] In some embodiments, the first acquisition module includes:

[0157] A first acquisition unit, used to acquire sample design parameters of the vibration reduction device;

[0158] A generating unit, configured to generate layout information of the vibration reduction device based on the sample design parameters;

[0159] A modeling unit, configured to perform modeling based on the layout information and the modeling data of the gradient coil to obtain a simulation model;

[0160] The simulation unit is used to perform vibration simulation based on the simulation model to obtain sample vibration reduction evaluation indicators corresponding to the sample design parameters.

[0161] In some embodiments, the first acquisition unit includes:

[0162] An acquisition subunit is used to acquire the limit values ​​and geometric constraints of the design parameters of the vibration reduction device;

[0163] A sampling subunit is used to generate sample design parameters of the vibration reduction device by adopting a sampling algorithm based on the limit value and the geometric constraint.

[0164] According to the aforementioned embodiments, the embodiments of the present application provide a detection device, and the modules included in the device and the units included in the modules can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, Microprocessor Unit), a digital signal processor (DSP, Digital Signal Processing) or a field programmable gate array (FPGA, Field Programmable Gate Array), etc.

[0165] The present application provides a detection device comprising:

[0166] A second acquisition module, used to acquire a first design parameter of the vibration reduction device;

[0167] A determination module is used to input the first design parameter into the vibration reduction evaluation reduced-order model mentioned above to determine a first vibration reduction evaluation index.

[0168] In some embodiments, the detection device further comprises:

[0169] A comparison module, configured to compare the first vibration reduction evaluation index with an evaluation index threshold;

[0170] The abnormality determination module is used to determine that the vibration reduction is abnormal when the first vibration reduction evaluation index is greater than the evaluation index threshold.

[0171] In some embodiments, the first design parameter includes: a design parameter of a target vibration reduction element, and the detection device further includes:

[0172] A third acquisition module is used to acquire second design parameters of the vibration reduction device, wherein the second design parameters do not include only design parameters of a target vibration reduction element;

[0173] A first input module, used for inputting the second design parameter into the vibration reduction evaluation reduced-order model to determine a second vibration reduction evaluation index;

[0174] A vibration reduction performance evaluation module is used to determine a vibration reduction contribution of the target vibration reduction element based on the second vibration reduction evaluation index and the first vibration reduction evaluation index.

[0175] According to the aforementioned embodiments, the embodiments of the present application provide a design device for a vibration reduction device, and the modules included in the device, as well as the units included in the modules, can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, Microprocessor Unit), a digital signal processor (DSP, Digital Signal Processing) or a field programmable gate array (FPGA, Field Programmable Gate Array), etc.

[0176] The embodiment of the present application provides a design device for a vibration reduction device, comprising:

[0177] A fourth acquisition module is used to acquire initial design parameters of the vibration reduction device;

[0178] A second input module, used for inputting the initial design parameters into the vibration reduction evaluation reduced-order model to determine a third vibration reduction evaluation index;

[0179] The optimization module is used to optimize the initial design parameters based on the third vibration reduction evaluation index and the target evaluation index to obtain the target design parameters of the vibration reduction device.

[0180] In some embodiments, the optimization module includes:

[0181] a calculation unit, configured to calculate a difference between the third vibration reduction evaluation index and the target evaluation index;

[0182] An optimization unit, configured to update the initial design parameters and perform iterative calculation based on an optimization algorithm when the difference is greater than a preset threshold;

[0183] A determination unit is used to determine the updated initial design parameters as the target design parameters of the vibration reduction device when the difference between the vibration reduction evaluation index corresponding to the updated initial design parameters and the target evaluation index is less than a preset threshold or a preset stop condition is reached.

[0184] In some embodiments, the constraints of the optimization algorithm include: cost constraints and target evaluation index constraints.

[0185] Based on the above-mentioned devices, the embodiment of the present application provides a design device for a vibration reduction device. Fig.10 Schematic diagram of the structure of a design device for a vibration reduction device according to an embodiment of the present application. Fig.10 As shown,

[0186] A design parameter sample generation module, used to execute a preset sampling algorithm to generate sample design parameters of the vibration-damping pad of the vibration-damping device according to the limit values ​​of the design parameters and the geometric constraints;

[0187] A vibration damping pad layout generation module is used to traverse the sample design parameters and execute a preset reconstruction algorithm to generate layout information of the vibration damping pad;

[0188] A modeling and simulation calculation module is used to model and simulate the vibration of the vibration reduction device and the gradient coil according to the layout information of the generated vibration reduction pad, and calculate the vibration reduction evaluation index after the simulation is completed;

[0189] The data set construction module is used to integrate design data and indicator data, using design data as features and indicator data as targets, and to perform data cleaning such as anomaly detection and normalization.

[0190] The artificial intelligence reduced-order model training module is used to execute the preset artificial intelligence algorithm according to the constructed data set to train and obtain the vibration reduction evaluation reduced-order model;

[0191] An anomaly detection module is used to detect anomalies in the design of existing vibration damping pads of gradient coils based on the vibration damping evaluation reduced-order model and provide diagnostic results;

[0192] The layout optimization module is used to optimize the layout of the gradient coil vibration damping pad according to the vibration damping evaluation reduced-order model; generate initial design parameters in a preset manner, execute the reduced-order model to obtain the vibration damping evaluation index, calculate the difference with the target index, iteratively execute the preset optimization algorithm, and update the design parameter value until the preset stop condition is reached;

[0193] The multi-objective decision-making module is used to traverse the design parameter values ​​of the iterative process according to the preset vibration reduction and cost index weights, and decide the optimal layout of vibration reduction and cost reduction;

[0194] The vibration damping pad design module is used to design the gradient coil vibration damping pad structure according to the optimal layout of the decision.

[0195] 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.

[0196] In addition, the positioning device may be a software unit, a hardware unit, or a unit combining software and hardware, or may be integrated into the electronic device as an independent pendant, or may exist as an independent terminal device.

[0197] 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.

[0198] Fig.11 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Fig.11 As shown, the electronic device 3 of this embodiment may include: at least one processor 30 ( Fig.11 Only one processor 30 is shown in the figure), a memory 31, and a computer program 32 stored in the memory 31 and executable on at least one processor 30. When the processor 30 executes the computer program 32, the steps in any of the above-mentioned method embodiments are implemented; or, when the processor 30 executes the computer program 32, the functions of the modules / units in the above-mentioned system embodiments are implemented.

[0199] Exemplarily, the computer program 32 may be divided into one or more modules / units, one or more modules / units are stored in the memory 31, and are executed by the processor 30 to complete the present application. One or more modules / units may be a series of computer program 32 instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 32 in the electronic device 3.

[0200] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program 32. When the computer program 32 is executed by the processor 30, the steps in the above-mentioned method embodiments can be implemented.

[0201] An embodiment of the present application provides a computer program product. When the computer program product runs on an electronic device, the electronic device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0202] Based on the foregoing embodiments, an embodiment of the present application provides a magnetic resonance system, comprising: a magnet, a gradient coil and a vibration reduction device, wherein the vibration reduction device is arranged between the magnet and the gradient coil, the vibration reduction device is manufactured based on target design parameters, and is laid out between the magnet and the gradient coil based on layout information in the target design parameters, wherein the target design parameters are obtained based on the design method of the vibration reduction device described above.

[0203] 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. According to 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 32, and the computer program 32 can be stored in a computer-readable storage medium, and the computer program 32 can implement the steps of the above-mentioned various method embodiments when executed by the processor 30. Among them, the computer program 32 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 may at least include: any entity or device capable of carrying the computer program code to the terminal, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal, and a 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.

[0204] 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.

[0205] 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.

[0206] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely 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.

[0207] 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.

[0208] 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 method for establishing a model, characterized in that: include: Acquiring sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used to reduce vibration of the magnetic resonance system; A vibration reduction evaluation reduced-order model is obtained based on the sample design parameters and the sample vibration reduction evaluation indexes corresponding to the sample design parameters.

2. The method according to claim 1, characterized in that The obtaining of sample design parameters of the vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters includes: generating layout information of the vibration reduction device based on the sample design parameters; Performing modeling based on the layout information and the modeling data of the gradient coil to obtain a simulation model; Vibration simulation is performed based on the simulation model to obtain sample vibration reduction evaluation indicators corresponding to the sample design parameters.

3. The method according to claim 2, characterized in that The obtaining of sample design parameters of the vibration reduction device comprises: Obtain the limits and geometric constraints of the design parameters of the vibration reduction device; A sampling algorithm is used to generate sample design parameters of the vibration reduction device based on the limit values ​​and the geometric constraints.

4. A detection method, characterized in that: include: Acquiring a first design parameter of the vibration reduction device; The first design parameter is input into the vibration reduction evaluation reduced-order model established by the model establishment method according to any one of claims 1 to 3 to determine a first vibration reduction evaluation index.

5. The method according to claim 4, characterized in that The method further comprises: comparing the first vibration reduction evaluation index with an evaluation index threshold; In a case where the first vibration damping evaluation index is greater than the evaluation index threshold, it is determined that the vibration damping is abnormal.

6. The detection method according to claim 4, characterized in that: The first design parameter includes: a design parameter of a target vibration reduction element, and the method further includes: Acquire second design parameters of the vibration reduction device, wherein the second design parameters do not include only design parameters of a target vibration reduction element; Inputting the second design parameter into the vibration reduction evaluation reduced-order model to determine a second vibration reduction evaluation index; A vibration damping contribution degree of the target vibration damping element is determined based on the second vibration damping evaluation index and the first vibration damping evaluation index.

7. A design method for a vibration reduction device, characterized in that: The method comprises: Obtaining initial design parameters of the vibration reduction device; Inputting the initial design parameters into the vibration reduction evaluation reduced-order model established by the model establishment method according to any one of claims 1 to 3 to determine a third vibration reduction evaluation index; The initial design parameters are optimized based on the third vibration reduction evaluation index and the target evaluation index to obtain target design parameters of the vibration reduction device.

8. The method according to claim 7, characterized in that The optimizing the initial design parameters based on the third vibration reduction evaluation index and the target evaluation index to obtain the target design parameters of the vibration reduction device includes: calculating a difference between the third vibration reduction evaluation index and the target evaluation index; When the difference is greater than a preset threshold, updating the initial design parameters and performing iterative calculation based on an optimization algorithm; When the difference between the vibration reduction evaluation index corresponding to the updated initial design parameter and the target evaluation index is less than a preset threshold or a preset stop condition is reached, the updated initial design parameter is determined as the target design parameter of the vibration reduction device, wherein the constraints of the optimization algorithm include: cost constraints and target evaluation index constraints.

9. A model building device, characterized in that: include: A first acquisition module is used to acquire sample design parameters of a vibration reduction device and sample vibration reduction evaluation indicators corresponding to the sample design parameters, wherein the vibration reduction device is arranged between a magnet and a gradient coil in a magnetic resonance system, and the vibration reduction device is used to reduce vibration of the magnetic resonance system; The training module is used to obtain a vibration reduction evaluation reduced-order model based on the sample design parameters and the sample vibration reduction evaluation indicators corresponding to the sample design parameters.

10. A magnetic resonance system, characterized in that: The magnetic resonance system includes: a magnet, a gradient coil and a vibration reduction device, wherein the vibration reduction device is arranged between the magnet and the gradient coil, the vibration reduction device is manufactured based on target design parameters, and is laid out between the magnet and the gradient coil based on layout information in the target design parameters, wherein the target design parameters are obtained based on the design method of the vibration reduction device described in claims 7 to 8.

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