Imaging scan parameter determination method and apparatus, imaging method, computer device

Abstract

The application relates to an imaging scanning parameter determination method and device, an imaging method and a computer device. The parameter determination method comprises the following steps: acquiring and determining radio frequency bandwidth width position information and suppression roll-off bandwidth width position information of an initial scanning radio frequency pulse signal; inputting the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and oversampling parameters of the initial scanning radio frequency pulse signal into a layer thickness factor determination model to determine a target layer thickness factor; and determining a target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal. When radio frequency pulses are emitted based on the target scanning radio frequency pulse signal to excite each scanning layer, each scanning layer is near a passband area of the radio frequency pulse signal, and the imaging results of each scanning layer meet a preset brightness condition, thereby avoiding the imaging of side layers from being black, and improving the imaging effect.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of scanning imaging, in particular to an imaging scanning parameter determination method and device, an imaging method and a computer device. BACKGROUND

[0002] Because of the limited radio frequency pulse signal excitation time, when medical image scanning is performed, the radio frequency excitation waveform is not a perfect rectangle, and has a certain transition band, and the half width is generally defined as the radio frequency bandwidth.

[0003] When the radio frequency waveform is applied to 3D layer selection excitation, the layers on both sides are located in the transition band, and the brightness difference of the layers on both sides occurs, which affects the imaging effect. SUMMARY

[0004] Therefore, it is necessary to provide an imaging scanning parameter determination method and device, an imaging method and a computer device capable of improving the imaging effect of each layer in the 3D layer selection excitation process.

[0005] In a first aspect, the present application provides an imaging scanning parameter determination method, which comprises:

[0006] obtaining an initial scanning radio frequency pulse signal;

[0007] determining radio frequency bandwidth width position information and suppression roll-off bandwidth width position information of the initial scanning radio frequency pulse signal according to the initial scanning radio frequency pulse signal;

[0008] inputting the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and an oversampling parameter of the initial scanning radio frequency pulse signal into a slice thickness factor determination model to determine a target slice thickness factor;

[0009] determining a target scanning radio frequency pulse signal according to the target slice thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, so that when a scanning layer is excited and scanned based on the target scanning radio frequency pulse signal, the imaging result of the scanning layer meets a preset brightness condition.

[0010] In one embodiment, the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and the preset oversampling parameter of the initial scanning radio frequency pulse signal are inputted into the slice thickness factor determination model to determine the target slice thickness factor, which comprises:

[0011] the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and the preset oversampling parameter of the initial scanning radio frequency pulse signal are inputted into the following model to determine the target slice thickness factor:

[0012] t f = L h *(1+os) / L s

[0013] wherein t f is a target layer thickness factor, L h is a radio frequency bandwidth width position information of the initial scan radio frequency pulse signal, L s is a suppression roll-off bandwidth width position information of the initial scan radio frequency pulse signal, and os is an oversampling parameter.

[0014] In one of the embodiments, determining the target scan radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scan radio frequency pulse signal comprises:

[0015] determining a radio frequency bandwidth width position information of the target scan radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scan radio frequency pulse signal;

[0016] determining the target scan radio frequency pulse signal according to the radio frequency bandwidth width position information of the target scan radio frequency pulse signal.

[0017] In one of the embodiments, determining the radio frequency bandwidth width position information of the target scan radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scan radio frequency pulse signal comprises:

[0018] multiplying the target layer thickness factor by the radio frequency bandwidth width position information of the initial scan radio frequency pulse signal to determine the radio frequency bandwidth width position information of the target scan radio frequency pulse signal.

[0019] In one of the embodiments, the radio frequency bandwidth width position information of the initial scan radio frequency pulse signal is a half-height bandwidth width position information, and the suppression roll-off bandwidth width position information of the initial scan radio frequency pulse signal is a stopband bandwidth position information.

[0020] In one of the embodiments, the method for determining the imaging scan parameter further comprises:

[0021] determining a passband bandwidth position information of the initial scan radio frequency pulse signal;

[0022] calculating a difference between the suppression roll-off bandwidth width position information of the initial scan radio frequency pulse signal and the passband bandwidth position information of the initial scan radio frequency pulse signal;

[0023] determining a ratio of the difference to the passband bandwidth position information of the initial scan radio frequency pulse signal as the oversampling parameter.

[0024] In a second aspect, a method for imaging is provided, the method comprising:

[0025] The radio frequency pulse is emitted according to the target scanning radio frequency pulse signal, and the radio frequency pulse is used to excite the magnetic resonance signals of each scanning layer; the target scanning radio frequency pulse signal is determined by executing the steps of the above imaging scanning parameter determination method;

[0026] Scan data of each scanning layer is acquired;

[0027] An imaging result of each scanning layer is determined according to the scan data;

[0028] The imaging result of each scanning layer meets a preset brightness condition.

[0029] In a third aspect, an imaging scanning parameter determination apparatus is provided, and the apparatus comprises:

[0030] An initial signal module is configured to acquire an initial scanning radio frequency pulse signal;

[0031] A key information determination module is configured to determine radio frequency bandwidth width position information and suppression roll-off bandwidth width position information of the initial scanning radio frequency pulse signal;

[0032] A target layer thickness factor determination module is configured to input the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and the oversampling parameter of the initial scanning radio frequency pulse signal into a layer thickness factor determination model to determine a target layer thickness factor;

[0033] A target radio frequency signal determination module is configured to determine a target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, so that the imaging result of each scanning layer meets a preset brightness condition when the scanning layer is excited based on the target scanning radio frequency pulse signal.

[0034] In a fourth aspect, a computer device is provided, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0035] In a fifth aspect, a magnetic resonance scanning system is provided, which comprises:

[0036] A magnetic resonance scanning device;

[0037] The above computer device is used to determine a target scanning radio frequency pulse signal;

[0038] A radio frequency pulse transmitter is configured to emit a radio frequency pulse according to the target scanning radio frequency pulse signal, and the radio frequency pulse is used to excite the magnetic resonance signals of each scanning layer.

[0039] The above imaging scanning parameter determination method and apparatus, imaging method and computer device have at least the following beneficial effects:

[0040] By acquiring and determining the radio frequency bandwidth width position information and the suppression roll-off bandwidth width position information of the initial scanning radio frequency pulse signal, the characteristics of the initial scanning radio frequency pulse signal can be understood. That is, the key information required for suppressing artifacts and improving brightness can be determined. On this basis, the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and the oversampling parameter of the initial scanning radio frequency pulse signal are input into a slice thickness factor determination model to determine a target slice thickness factor. The target slice thickness factor represents the proportional relationship between the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal. According to the target slice thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the target scanning radio frequency pulse signal can be further determined. When radio frequency pulses are emitted based on the target scanning radio frequency pulse signal to excite each scanning layer, each scanning layer is near the passband region of the radio frequency pulse signal, and the imaging results of each scanning layer meet the preset brightness condition, so that the imaging results of the layers on both sides are not blackened, thereby improving the imaging effect. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 An application environment diagram of the imaging scanning parameter determination method and the imaging method in one embodiment;

[0042] Figure 2a A waveform diagram of an ideal radio frequency pulse;

[0043] Figure 2b A waveform diagram of an actual radio frequency pulse;

[0044] Figure 3a An imaging result diagram of a first layer on the side;

[0045] Figure 3b An imaging result diagram of a second layer in the middle;

[0046] Figure 4 One of the flow diagrams of the imaging scanning parameter determination method in one embodiment;

[0047] Figure 5 The second flow diagram of the imaging scanning parameter determination method in one embodiment;

[0048] Figure 6 A waveform comparison diagram of the initial scanning radio frequency pulse signal and the target scanning radio frequency pulse signal in one embodiment;

[0049] Figure 7 The third flow diagram of the imaging scanning parameter determination method in one embodiment;

[0050] Figure 8 One of the flow diagrams of the imaging method in one embodiment;

[0051] Figure 9a Fig. 4 is a schematic diagram of imaging results of each scanning layer under 3D selective layer excitation using the initial scanning RF pulse signal in an embodiment;

[0052] Figure 9b Fig. 5 is a schematic diagram of imaging results of each scanning layer under 3D selective layer excitation using the target scanning RF pulse signal in an embodiment;

[0053] Figure 10a Fig. 6 is a schematic diagram of imaging results of each scanning layer under 3D selective layer excitation using the initial scanning RF pulse signal in an embodiment under low window width and window level;

[0054] Figure 10b Fig. 7 is a schematic diagram of imaging results of each scanning layer under 3D selective layer excitation using the target scanning RF pulse signal in an embodiment under low window width and window level;

[0055] Figure 11 Fig. 8 is a schematic diagram of internal structure of a computer device in an embodiment. DETAILED DESCRIPTION

[0056] In order to make the objects, technical solutions and advantages of the present application clearer, further detailed description will be made to the present application with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0057] The imaging scanning parameter determination method and the imaging method provided by the embodiments of the present application can be applied to, for example, Figure 1The application environment shown. Among them, the computer device 102 communicates with the server 104 through the network. The data storage system can store the data required by the server 104 to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The computer device 102 can obtain the oversampling parameter and the layer thickness factor determination model from the server 104. The computer device 102 can also optimize the initial scanning radio frequency pulse signal based on the initial set pulse signal parameter or the scanning radio frequency pulse signal corresponding to the case where the last scan appears a fold artifact and / or the imaging result brightness is lower than the preset brightness, as the initial scanning radio frequency pulse signal. Based on the radio frequency bandwidth width position information and the fold suppression bandwidth width position information of the initial scanning radio frequency pulse signal, the key information for suppressing the fold and improving the imaging result brightness can be known, and then the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the fold suppression bandwidth width position information and the preset oversampling parameter are input into the layer thickness factor determination model to determine the target layer thickness factor; wherein the layer thickness factor determination model is used to represent the mapping relationship between the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the fold suppression bandwidth width position information and the oversampling parameter and the target layer thickness factor. The target layer thickness factor is a parameter representing the proportional relationship between the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, that is, the proportion of the radio frequency bandwidth width information dimension is adjusted, so that the adjusted scanning layers fall near the passband position. Based on the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the determined target scanning radio frequency pulse signal can make the imaging result of the scanning layer meet the preset brightness condition when exciting the scanning layer, that is, it can suppress the fold artifact by oversampling while ensuring that the brightness of the imaging result of each scanning layer meets the preset brightness condition, for example, greater than the preset brightness threshold.

[0058] Among them, the computer device 102 can be but not limited to various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices, etc. The Internet of Things device can be a control host of a medical imaging system, etc. The server 104 can be realized by an independent server or a server cluster composed of multiple servers.

[0059] As described in the background, and as shown in FIG. 2, the actually transmitted radio frequency pulse is not a perfect rectangle as Figure 2a shown, but a pulse with a certain transition band as Figure 2b shown. When the radio frequency pulse is applied to 3D layer selection excitation, the layers on both sides are in the transition band, which will appear two sides black, for example, as Figure 3a shown, the first layer located on the side is much darker than the edge brightness of the middle layer as Figure 3b shown, and Figure 3athe brightness of the image has been lower than the preset brightness acceptable to the user when reading the image.

[0060] In addition, the transition zone also causes the problem of fold. Generally, 3D scanning needs to be oversampled, but oversampling does not change the size of the slice thickness.

[0061] To solve the above problems, in one embodiment, as shown in Figure 4 an imaging scan parameter determination method is provided, which is applied to Figure 1 a computer device 102 in the computer device 102 for example, and includes the following steps:

[0062] S402, obtaining an initial scan radio frequency pulse signal. The initial scan radio frequency pulse signal refers to a scan radio frequency pulse signal that has not been optimized in the layer direction. For example, it can be a scan radio frequency pulse signal in a case where the brightness of part of the imaging result is lower than the preset brightness, or a scan radio frequency pulse signal in a case where fold artifacts appear in the imaging result, or in a case where both artifacts and the brightness lower than the preset brightness appear. In these cases, the imaging result is not what the user expects, and the characteristics of the radio frequency pulse signal can be understood by obtaining the initial scan radio frequency pulse signal. There are many ways to obtain the initial scan radio frequency pulse signal, for example, it can be obtained from the data stored in the memory of the execution subject when the initial scan radio frequency pulse signal is triggered, or it can be obtained from the radio frequency pulse transmitter. The radio frequency pulse transmitter is responsible for emitting radio frequency pulses according to the received scan radio frequency pulse signal, so the initial scan radio frequency pulse signal can be obtained according to the scan radio frequency pulse signal received by the radio frequency pulse transmitter.

[0063] S404, determining radio frequency bandwidth width position information and fold suppression bandwidth width position information of the initial scan radio frequency pulse signal according to the initial scan radio frequency pulse signal. The radio frequency bandwidth width position information refers to position information that can reflect the position of the bandwidth in which the scanning layer is located. For example, when the half-width bandwidth is defined as the radio frequency bandwidth, the radio frequency bandwidth width position information can refer to the half-width bandwidth position information, and of course it can also be information near the half-width bandwidth position, as long as it can represent the range of action of the radio frequency pulse when exciting each scan. The fold suppression bandwidth width position information refers to the bandwidth position information of the fold signal intensity acceptable to the user, which can be configured by the user. However, it should be understood that this configuration is a self-defined configuration within the range of suppressing obvious fold artifacts, and the principle can be understood as that the fold part of the imaging result does not affect the normal display of the region of interest in the imaging result. For example, to more ideally suppress the artifacts, the fold suppression bandwidth width position information can be the stopband bandwidth position information of the initial scan radio frequency pulse signal, and the oversampling range is pulled to the stopband bandwidth position to better suppress the artifacts of each scan excited by the initial scan radio frequency pulse signal.

[0064] S406, input the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the suppression roll-off bandwidth width position information and the oversampling parameter to a layer thickness factor determination model to determine a target layer thickness factor; wherein the layer thickness factor determination model is used to represent the mapping relationship between the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the suppression roll-off bandwidth width position information and the oversampling parameter and the target layer thickness factor. The layer thickness factor determination model refers to a model established in advance, which can be determined based on training or geometric relationship, etc. For example, some initial scanning radio frequency pulse signals can be used as training data to train a neural network model until the roll-off artifact of the imaging result is within the user acceptable range and the brightness of the imaging result also meets the user preset brightness condition when the target scanning radio frequency pulse signal obtained based on the network model is used for 3D layer selection excitation.

[0065] S408, determine the target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, so that when the scanning layer is excited based on the target scanning radio frequency pulse signal, the imaging result of the scanning layer meets the preset brightness condition. The target layer thickness factor is a parameter representing the proportional relationship between the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal. For example, the target layer thickness factor t f = L h’ / L h . L h is the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, and L h’ is the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal.

[0066] Based on the proportional relationship between the pulse signals before and after the adjustment of the target layer thickness suppression performance, the target scanning radio frequency pulse signal can be quickly determined.

[0067] In one embodiment, as Figure 5 shown, according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the target scanning radio frequency pulse signal can be determined by:

[0068] S502, determine the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal.

[0069] For example, the target layer thickness factor can be multiplied by the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal to determine the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal. Of course, in addition to direct multiplication, other operations can also be performed, for example, based on multiplication, a correction coefficient is multiplied, which can be a value close to 1 or equal to 1, to determine the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal. The correction coefficient can also be obtained based on testing or model training, aiming to obtain better artifact suppression effect and brightness effect of the imaging result corresponding to the target scanning radio frequency pulse signal.

[0070] S504, determining the target scanning radio frequency pulse signal according to the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal.

[0071] Based on the characteristics of the scanning radio frequency pulse signal, after determining the radio frequency bandwidth width position information, the overall waveform of the target scanning radio frequency pulse signal can be further determined, and the signal itself can be further determined.

[0072] Specifically, by acquiring and determining the radio frequency bandwidth width position information and the suppression fold bandwidth width position information of the initial scanning radio frequency pulse signal, the characteristics of the initial scanning radio frequency pulse signal can be understood. That is, the key information required for suppressing artifacts and improving brightness can be determined, and on this basis, the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the suppression fold bandwidth width position information and the oversampling parameter are input into the layer thickness factor determination model to determine the target layer thickness factor. The target layer thickness factor represents the proportional relationship between the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal. According to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal, the target scanning radio frequency pulse signal can be further determined. Based on the target scanning radio frequency pulse signal, the radio frequency pulse is emitted to excite each scanning layer, and each scanning layer is near the passband region of the radio frequency pulse signal, and the imaging result of each scanning layer meets the preset brightness condition, so that the imaging result of the part layer, especially the two side layers, is avoided from being black, thereby improving the imaging effect.

[0073] According to the over-sampling, the application changes the actual radio frequency pulse excitation layer thickness, fully utilizes the over-sampling information to improve the problem of black imaging result of the two side layers under the condition of ensuring that no fold occurs. It is beneficial to the clinical diagnosis of the side layers, and also beneficial to the problem of black splicing of the whole body multi-bed transverse 3D scanning after splicing.

[0074] In one embodiment, the radio frequency bandwidth width position information, the suppression fold bandwidth width position information and the preset oversampling parameter of the initial scanning radio frequency pulse signal are input into the layer thickness factor determination model to determine the target layer thickness factor, including:

[0075] The location information of the initial scan RF pulse signal's RF bandwidth, the location information of the suppressed fold bandwidth, and the preset oversampling parameters are input into the following model to determine the target layer thickness factor:

[0076] t f =L h *(1+os) / L s

[0077] Among them, t f L is the target layer thickness factor. h L is the location information of the RF bandwidth of the initial scan RF pulse signal. s This provides the location information for the suppression of the folding bandwidth of the initial scan RF pulse signal, and os is the oversampling parameter.

[0078] Based on such Figure 6 As shown in the geometric relationship, to stretch the passband position to the RF bandwidth position, the required layer thickness factor is t. f =L h / L p According to geometric relationships, L h *(1+os)=t f *L s t can be further obtained f =L h *(1+os) / L s Based on this, when determining the oversampling parameters, the target scanning radio frequency pulse signal can be quickly determined based on the waveform characteristics of the initial scanning pulse signal, and then radio frequency pulse excitation can be performed for imaging.

[0079] In one embodiment, such as Figure 7 As shown, the method for determining imaging scanning parameters also includes:

[0080] S702 determines the passband bandwidth position information of the initial scan RF pulse signal. This can be determined based on waveform characteristics.

[0081] S704, calculate the difference between the suppression folding bandwidth position information and the passband bandwidth position information of the initial scan radio frequency pulse signal;

[0082] S706, the ratio of the difference to the passband bandwidth position information of the initial scan RF pulse signal is determined as the oversampling parameter.

[0083] To further improve the suppression effect of the roll-off artifact, the passband bandwidth position information of the initial scanning radio frequency pulse signal is first determined, and then the passband bandwidth position of the target scanning radio frequency pulse signal is pulled to the suppression roll-off bandwidth width position information of the initial scanning pulse signal by fully utilizing the over-sampling in the layer direction, so as to maximally suppress the roll-off artifact. For example, when the suppression roll-off bandwidth width position information is the stopband bandwidth position information, the passband bandwidth position of the target scanning radio frequency pulse signal can be pulled to the stopband bandwidth position of the initial scanning pulse signal to maximally suppress the roll-off artifact and improve the imaging reliability.

[0084] In one of the embodiments, the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal is the half-height bandwidth position information; and the suppression roll-off bandwidth width position information of the initial scanning radio frequency pulse signal is the stopband bandwidth position information. When the half-height bandwidth is defined as the radio frequency bandwidth, the half-height bandwidth position information can be used as the radio frequency bandwidth width position information. To maximally utilize the over-sampling, the stopband bandwidth position information can be used as the suppression roll-off bandwidth width position information.

[0085] At this time, L h , L s , L h and L h’ may be as shown in FIG. 8, where L h’ represents the half-height bandwidth position information of the target scanning radio frequency pulse signal. Figure 6

[0086] The step S502 of determining the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal comprises:

[0087] The step S502 of determining the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth width position information of the initial scanning radio frequency pulse signal comprises:

[0088] The target scanning radio frequency pulse signal is then determined according to the half-height bandwidth position information of the target scanning radio frequency pulse signal.

[0089] Based on this, the current layer direction over-sampling can be fully utilized to automatically calculate the layer thickness, the field of view F1 in the layer direction is pulled to the layer direction over-sampling range F2, the layers are made to fall into the platform period (passband range) of the radio frequency pulse signal profile as much as possible under the condition that no layer direction roll-off occurs, so as to solve the problem of black imaging results of the layers on both sides of the layer.

[0090] It should be noted that the radio frequency bandwidth width position information, the suppression roll-off bandwidth width position information and the passband bandwidth position information, etc. all refer to the information capable of representing the bandwidth position, for example, the position of the position from the waveform center line, which can be taken as 0, and the position is along the waveform as shown in FIG. 9.​Figure 6 In the transverse direction, the distance from the center position. At this time, it is expressed as a distance information. Of course, it can also be the bandwidth width corresponding to the position. At this time, the bandwidth width is twice the distance of the position from the center position, which still meets the relationship description in the above embodiment, which will not be repeated here.

[0091] In a second aspect, an imaging method is provided, such as Figure 8 As shown, the method can be applied to a medical scanning imaging system, and the method comprises:

[0092] S802, according to the target scanning radio frequency pulse signal, the radio frequency pulse is used to excite the magnetic resonance signal of each scanning layer; the target scanning radio frequency pulse signal is determined by executing the steps of the above imaging scanning parameter determination method.

[0093] S804, acquiring the scanning data of each scanning layer.

[0094] S806, determining the imaging result of each scanning layer according to the scanning data; wherein the imaging result of each scanning layer meets the preset brightness condition.

[0095] The acquisition of scanning data and the excitation of radio frequency pulse can be understood by referring to the operation of the current medical scanning imaging system. The imaging method provided by the present application determines the target scanning radio frequency pulse signal according to the above imaging scanning parameter determination method, and transmits the radio frequency pulse on this basis. The over-sampling in the layer thickness direction can increase the layer thickness excited in the layer thickness direction, so as to suppress the fold artifact while making the brightness of the imaging result meet the preset brightness condition.

[0096] In order to better illustrate the beneficial effects of the method provided by the embodiments of the present application, the results of water phantom experiment under a specific parameter are described here.

[0097] Referring to Figure 9a and Figure 9b It can be seen that the brightness of the initial scanning radio frequency pulse signal and the target scanning radio frequency pulse signal on different layers, and the gray value can represent the brightness. The gray value is shown in the following table:

[0098] Layer in which the object is located First layer Second layer Third layer Initial scan radio frequency pulse signal 292.6 362.7 421.2 Target scan radio frequency pulse signal 430.4 471.6 498.4

[0099] The higher the gray value, the brighter the image. As can be seen from the figures and tables, in the case of suppressing fold, the brightness of each scanning layer is improved, especially the brightness of the edge layer.

[0100] In low window width and window position, the imaging result of each layer can be obtained as shown in Figure 10a and Figure 10b The gray value of the corresponding fold part of the imaging result of each layer is shown in the following table:

[0101] Layer in which the object is located First layer Second layer Third layer Initial scan radio frequency pulse signal 5.6|292.6 5.7|362.7 6.0|421.2 Target scan radio frequency pulse signal 6.4|430.4 6.1|471.6 6.0|498.4

[0102] The fold can be observed under low window width and window level before and after the optimization of the scanning radio frequency pulse signal, so that the layer black problem can be solved without affecting any scanning parameters.

[0103] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiments of the present application also provide an imaging scan parameter determination device for implementing the imaging scan parameter determination method described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more imaging scan parameter determination device embodiments provided below can refer to the limitations of the imaging scan parameter determination method in the above, which will not be repeated here.

[0105] In a third aspect, an imaging scan parameter determination device is provided, which comprises:

[0106] An initial signal module is configured to acquire an initial scanning radio frequency pulse signal.

[0107] A key information determination module is configured to determine radio frequency bandwidth position information and fold suppression bandwidth position information of the initial scanning radio frequency pulse signal.

[0108] A target layer thickness factor determination module is configured to input the radio frequency bandwidth position information, the fold suppression bandwidth position information and the oversampling parameter of the initial scanning radio frequency pulse signal into a layer thickness factor determination model to determine a target layer thickness factor. The layer thickness factor determination model is configured to represent a mapping relationship between the radio frequency bandwidth position information, the fold suppression bandwidth position information and the oversampling parameter of the initial scanning radio frequency pulse signal and the target layer thickness factor.

[0109] The target radio frequency signal determination module is configured to determine a target scanning radio frequency pulse signal according to the target layer thickness factor and the radio frequency bandwidth position information of the initial scanning radio frequency pulse signal, so that when the scanning layers are excited based on the target scanning radio frequency pulse signal, the imaging results of the scanning layers all meet the preset brightness condition.

[0110] The target layer thickness factor is a parameter representing a proportional relationship between the radio frequency bandwidth position information of the target scanning radio frequency pulse signal and the radio frequency bandwidth position information of the initial scanning radio frequency pulse signal.

[0111] The modules in the imaging scanning parameter determination apparatus can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of a processor in a computer device in a hardware form, or stored in a memory in the computer device in a software form, so as to be called and executed by the processor to perform operations corresponding to the modules.

[0112] Based on the same inventive concept, the embodiments of the present application also provide an imaging apparatus for implementing the imaging method described above. The implementation scheme of the apparatus for solving the problem is similar to the implementation scheme described in the method, and therefore the specific limitations in one or more imaging apparatus embodiments provided below can be referred to the limitations of the imaging method described above, which will not be described herein again.

[0113] In a third aspect, an imaging scanning parameter determination apparatus is provided. The apparatus can be applied to a medical scanning imaging system, and the apparatus comprises:

[0114] The radio frequency pulse excitation module is configured to emit radio frequency pulses according to the target scanning radio frequency pulse signal, and the radio frequency pulses are used to excite magnetic resonance signals of the scanning layers. The target scanning radio frequency pulse signal is determined by executing the steps of the imaging scanning parameter determination method.

[0115] The scanning data acquisition module is configured to acquire scanning data of the scanning layers.

[0116] The imaging module is configured to determine imaging results of the scanning layers according to the scanning data.

[0117] The imaging results of the scanning layers all meet the preset brightness condition.

[0118] The modules in the imaging apparatus can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of a processor in a computer device in a hardware form, or stored in a memory in the computer device in a software form, so as to be called and executed by the processor to perform operations corresponding to the modules.

[0119] The medical scan imaging system in the above embodiments can be a magnetic resonance scan imaging system.

[0120] In one embodiment, a computer device is provided, which can be a terminal, and an internal structure diagram thereof can be as shown in the figure. Figure 11 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals. The wireless communication can be achieved through WIFI, mobile cellular network, NFC (Near Field Communication) or other technologies. The computer program is executed by the processor to implement an imaging scan parameter determination method. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or can be a key, a trackball or a touchpad arranged on the shell of the computer device, or can be an external keyboard, a touchpad or a mouse, etc.

[0121] Those skilled in the art can understand that, Figure 11 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0122] In one embodiment, a computer device is provided, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the imaging scan parameter determination method embodiments and achieve the corresponding beneficial effects.

[0123] In one embodiment, the computer device can be a host device in a magnetic resonance scan system, which is responsible for scan data calculation and pulse excitation.

[0124] In an embodiment, the computer device can communicate with a device for projecting radio frequency pulses and a device responsible for imaging in a medical imaging system. Optionally, the computer device can be a host of the device responsible for imaging.

[0125] In an embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the above-mentioned imaging method embodiments when executing the computer program, and achieving the corresponding beneficial effects.

[0126] In a fifth aspect, a magnetic resonance scanning system is provided, comprising: a magnetic resonance scanning device, a computer device as described above, and a radio frequency pulse transmitter.

[0127] The computer device determines the target scanning radio frequency pulse signal based on the steps of the above-mentioned imaging scanning parameter determination method embodiments, and sends it to the radio frequency pulse generator. The radio frequency pulse transmitter emits radio frequency pulses according to the target scanning radio frequency pulse signal, and the radio frequency pulses are used to excite the magnetic resonance signals of each scanning layer. The magnetic resonance scanning device can scan the subject according to the scanning strategy and obtain scanning data, and obtain the imaging result by processing the scanning data. Since the radio frequency pulses used to excite the magnetic resonance signals have over-sampling in the layer direction and increase the actual excitation layer thickness, the obtained imaging result can not only eliminate the fold artifact, but also further improve the brightness of the 3D multi-layer excitation imaging result by improving the imaging brightness of the side layers, so that the imaging result meets the preset brightness required by the user when reading the image.

[0128] Magnetic resonance scanning imaging (MRI) is a technology that uses magnetic resonance phenomenon to perform imaging, and has the characteristics of non-invasiveness, non-ionization, and no radiation. The images obtained have the advantages of clearness, fineness, high resolution, and good contrast, and are particularly good at displaying soft tissue levels, which can greatly improve the efficiency of diagnosis and are commonly used in clinical diagnosis. The magnetic resonance scanning imaging system equipped with the above-mentioned computer device can provide the user with an imaging result with more consistent brightness and greater suppression of fold artifacts.

[0129] In an embodiment, a computer readable storage medium is provided, which stores a computer program, the computer program being executed by a processor to implement the steps in the above-mentioned method embodiments, and achieve the corresponding beneficial effects.

[0130] In an embodiment, a computer program product is provided, comprising a computer program, the computer program being executed by a processor to implement the steps in the above-mentioned method embodiments, and achieve the corresponding beneficial effects.

[0131] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of the country and region.

[0132] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of each method can be included. Any reference to a memory, database or other medium used in the embodiments provided by the present application can include at least one of a non-volatile and volatile memory. The non-volatile memory can include a read-only memory (Read-Only Memory, ROM), a magnetic tape, a floppy disk, a flash memory, an optical storage, a high-density embedded non-volatile memory, a resistive memory (ReRAM), a magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), a ferroelectric memory (Ferroelectric Random Access Memory, FRAM), a phase change memory (Phase Change Memory, PCM), a graphene memory, etc. The volatile memory can include a random access memory (Random Access Memory, RAM) or an external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0133] The technical features of the above embodiments can be combined in any way. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictory, they should be considered as the scope of the present disclosure.

[0134] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method for determining imaging scanning parameters, characterized in that, The method includes: Acquire the initial scan radio frequency pulse signal; Determine the location information of the radio frequency bandwidth width and the location information of the suppression folding bandwidth width of the initial scanning radio frequency pulse signal; The location information of the radio frequency bandwidth width of the initial scanning radio frequency pulse signal, the location information of the suppression of folding bandwidth width, and the preset oversampling parameters are input into the layer thickness factor determination model to determine the target layer thickness factor. Based on the target layer thickness factor and the RF bandwidth position information of the initial scanning RF pulse signal, the target scanning RF pulse signal is determined so that when the scanning layer is excited based on the target scanning RF pulse signal, the imaging results of the scanning layer all meet the preset brightness conditions. The step of inputting the RF bandwidth location information of the initial scanning RF pulse signal, the anti-wrinkle bandwidth location information, and the preset oversampling parameters into the layer thickness factor determination model to determine the target layer thickness factor includes: The location information of the RF bandwidth of the initial scanning RF pulse signal, the location information of the suppressed fold bandwidth, and the preset oversampling parameters are input into the following model to determine the target layer thickness factor: t f =L h *(1+axis) / L s Among them, t f L is the target layer thickness factor. h L is the location information of the radio frequency bandwidth of the initial scanning radio frequency pulse signal. s The location information of the suppression fold bandwidth of the initial scanning radio frequency pulse signal is given, and os is the oversampling parameter.

2. The method according to claim 1, characterized in that, The step of determining the target scanning radio frequency pulse signal based on the target layer thickness factor and the radio frequency bandwidth position information of the initial scanning radio frequency pulse signal includes: Based on the target layer thickness factor and the RF bandwidth position information of the initial scanning RF pulse signal, the RF bandwidth position information of the target scanning RF pulse signal is determined. The target scanning radio frequency pulse signal is determined based on the radio frequency bandwidth width position information of the target scanning radio frequency pulse signal.

3. The method according to claim 2, characterized in that, The step of determining the RF bandwidth position information of the target scanning RF pulse signal based on the target layer thickness factor and the RF bandwidth position information of the initial scanning RF pulse signal includes: The target layer thickness factor is multiplied by the RF bandwidth width position information of the initial scanning RF pulse signal to determine the RF bandwidth width position information of the target scanning RF pulse signal.

4. The method according to any one of claims 1-3, characterized in that, The RF bandwidth position information of the initial scanning RF pulse signal is the half-width-three-way bandwidth position information; the suppression folding bandwidth position information of the initial scanning RF pulse signal is the stopband bandwidth position information.

5. The method according to claim 1, characterized in that, The method further includes: Determine the passband bandwidth location information of the initial scanning radio frequency pulse signal; Calculate the difference between the suppression folding bandwidth position information and the passband bandwidth position information of the initial scanning radio frequency pulse signal; The oversampling parameter is determined as the ratio of the difference to the passband bandwidth position information of the initial scan radio frequency pulse signal.

6. An imaging method, characterized in that, The method includes: Radio frequency pulses are emitted based on the target scanning radio frequency pulse signal, and the radio frequency pulses are used to excite the magnetic resonance signals of each scanning layer; the target scanning radio frequency pulse signal is determined by performing the steps of the imaging scanning parameter determination method according to any one of claims 1-5; Obtain the scan data of each of the scan layers; Based on the scan data, determine the imaging results of each scan layer; The imaging results of each scanning layer meet the preset brightness conditions.

7. An imaging scanning parameter determination device, characterized in that, The device includes: The initial signal module is used to acquire the initial scanning radio frequency pulse signal; The key information determination module is used to determine the position information of the radio frequency bandwidth width and the position information of the suppression of folding bandwidth width of the initial scanning radio frequency pulse signal; The target layer thickness factor determination module is used to input the radio frequency bandwidth width position information, the anti-wrinkle bandwidth width position information, and the oversampling parameters of the initial scanning radio frequency pulse signal into the layer thickness factor determination model to determine the target layer thickness factor. The target radio frequency signal determination module is used to determine the target scanning radio frequency pulse signal based on the target layer thickness factor and the radio frequency bandwidth position information of the initial scanning radio frequency pulse signal, so that when the scanning layer is excited based on the target scanning radio frequency pulse signal, the imaging result of the scanning layer meets the preset brightness conditions. The target layer thickness factor determination module is further configured to input the RF bandwidth width position information of the initial scanning RF pulse signal, the suppression fold bandwidth width position information, and preset oversampling parameters into the following model to determine the target layer thickness factor: t f =L h *(1+axis) / L s Among them, t f L is the target layer thickness factor. h L is the location information of the radio frequency bandwidth of the initial scanning radio frequency pulse signal. s The location information of the suppression fold bandwidth of the initial scanning radio frequency pulse signal is given, and os is the oversampling parameter.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. A magnetic resonance scanning system, characterized in that, include: Magnetic resonance imaging (MRI) scanner; The computer device as described in claim 8 is used to determine a target scanning radio frequency pulse signal; A radio frequency pulse transmitter is used to emit radio frequency pulses according to the target scanning radio frequency pulse signal, and the radio frequency pulses are used to excite the magnetic resonance signals of each scanning layer.

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