Magnetic resonance image processing method and system, electronic equipment and medium

Abstract

The invention discloses a magnetic resonance image processing method and system, electronic equipment and a medium, and the method comprises the steps: controlling a magnetic resonance system to carry out the pre-scanning, so as to obtain a B1 field mapping graph of the magnetic resonance system; controlling the magnetic resonance system to perform imaging scanning on the monitored object to obtain an original medical image; according to the imaging parameters of the imaging scanning, performing signal simulation on at least one tissue of the monitored object to obtain an analog signal of the at least one tissue; determining a to-be-corrected area corresponding to the original medical image according to the B1 field mapping graph; and compensating pixels of the original medical image corresponding to the to-be-corrected area according to the analog signal to obtain a corrected image. According to the invention, the pixels of the original medical image of the to-be-corrected area are compensated according to the analog signal of the monitored object tissue, and the uniformity of the image contrast is improved, so that the quality of the medical image is improved, and the subsequent use of the medical image is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of image processing technology, and in particular to a magnetic resonance image processing method, system, electronic equipment and medium. Background Art

[0002] As the magnetic field strength increases, the RF electromagnetic spectrum decreases. When the magnetic field strength exceeds a certain value, the RF waveform becomes small enough to be similar to the size of the imaging object. Due to differences in the distribution of the transmitting field, the image contrast within the field of view of the imaging object will be inconsistent, forming a spatial inhomogeneity effect related to the transmitting field. Especially in ultra-high magnetic fields (i.e., when the magnetic field strength is greater than 3 Tesla), the higher the magnetic field strength, the more significant this spatial inhomogeneity effect is, affecting the image quality. Summary of the invention

[0003] The technical problem to be solved by the present invention is to overcome the defect of uneven image contrast under ultra-high magnetic field in the prior art, and to provide a magnetic resonance image processing method, system, electronic equipment and medium.

[0004] The present invention solves the above technical problems through the following technical solutions:

[0005] The present invention provides a magnetic resonance image processing method, the magnetic resonance image processing method comprising:

[0006] Controlling a pre-scan of the magnetic resonance system to obtain a B1 field map of the magnetic resonance system;

[0007] Controlling the magnetic resonance system to perform imaging scanning on the monitored object to obtain an original medical image;

[0008] Performing signal simulation on at least one tissue of the monitored object according to imaging parameters of the imaging scan to obtain a simulated signal of the at least one tissue;

[0009] Determining the area to be corrected corresponding to the original medical image according to the B1 field mapping image;

[0010] The pixels of the original medical image corresponding to the area to be corrected are compensated according to the analog signal to obtain a corrected image.

[0011] Preferably, compensating the pixels of the original medical image corresponding to the area to be corrected according to the analog signal comprises:

[0012] Simulating the imaging parameters of the imaging scan to obtain analog signals under various voltage factors;

[0013] determining a compensation factor based on the B1 field mapping field image and the analog signal;

[0014] The pixels of the original medical image corresponding to the area to be corrected are compensated according to the compensation factor.

[0015] Preferably, the magnetic resonance image processing method further comprises:

[0016] Segmenting the original medical image to obtain reference tissue;

[0017] The step of determining the compensation factor according to the B1 field mapping field image and the analog signal comprises:

[0018] A compensation factor is determined based on the B1 field mapping field image and the simulated signal of the reference tissue under various voltage factors.

[0019] Preferably, the magnetic resonance image processing method further comprises:

[0020] Segmenting the original medical image to obtain multiple types of tissues;

[0021] The step of determining the compensation factor according to the B1 field mapping field image and the analog signal comprises:

[0022] The compensation factor is determined according to the B1 field mapping field diagram and the simulated signals of the multiple types of tissues under different voltage factors.

[0023] Preferably, the analog signal is the longitudinal relaxation signal intensity or the transverse relaxation signal intensity.

[0024] Preferably, the multiple types of tissues include at least two of the following: muscle, bone marrow, fat, liver, kidney, prostate, and synovial fluid.

[0025] The present invention also provides a magnetic resonance image processing system, the system comprising:

[0026] A pre-scan module, used for controlling the magnetic resonance system to pre-scan, so as to obtain a B1 field mapping diagram of the magnetic resonance system;

[0027] A scanning module, used for controlling the magnetic resonance system to perform imaging scanning on the monitored object to obtain an original medical image;

[0028] A simulation module, configured to perform signal simulation on at least one tissue of the monitored object according to imaging parameters of the imaging scan, so as to obtain a simulated signal of the at least one tissue;

[0029] A first determination module, configured to determine the area to be corrected corresponding to the original medical image according to the B1 field map;

[0030] The correction module is used to compensate the pixels of the original medical image corresponding to the area to be corrected according to the analog signal to obtain a corrected image.

[0031] Preferably, the system further comprises:

[0032] A second determination module is used to obtain analog signals under various voltage factors according to the imaging parameter simulation of the imaging scan;

[0033] A third determination module, configured to determine a compensation factor according to the B1 field mapping field image and the analog signal;

[0034] A compensation module is used to compensate the pixels of the original medical image corresponding to the area to be corrected according to the compensation factor.

[0035] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, wherein the processor implements the above-mentioned magnetic resonance image processing method when executing the computer program.

[0036] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned magnetic resonance image processing method is implemented.

[0037] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0038] The positive and progressive effects of the present invention are:

[0039] The present invention compensates the pixels of the original medical image of the area to be corrected according to the analog signal of the monitored object tissue, thereby improving the uniformity of the image contrast, thereby enhancing the quality of the medical image and facilitating the subsequent use of the medical image. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a flow chart of a magnetic resonance image processing method according to embodiment 1 of the present invention;

[0041] Figure 2 It is a block simulation curve diagram of magnetic resonance signal strength of various types of tissues under different voltage factors of the magnetic resonance image processing method of Example 1 of the present invention;

[0042] Figure 3 It is a magnetic resonance signal intensity diagram of various types of tissues after being homogenized under different voltage factors according to the magnetic resonance image processing method of Example 1 of the present invention;

[0043] Figure 4 is a flowchart of a specific example of a magnetic resonance image processing method according to embodiment 1 of the present invention;

[0044] Figure 5is a schematic structural diagram of a magnetic resonance image processing system according to Embodiment 2 of the present invention;

[0045] Figure 6 This is a schematic diagram of the structure of an electronic device according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0046] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0047] Example 1

[0048] This embodiment provides a magnetic resonance image processing method. Figure 1 , the magnetic resonance image processing method comprises:

[0049] S1. Controlling a pre-scan of the magnetic resonance system to obtain a B1 field mapping image of the magnetic resonance system.

[0050] It should be noted that the B1 field mapping diagram is the emission field distribution diagram, and the emission field distribution diagram is an image used to reflect the emission field distribution of the magnetic resonance system.

[0051] In particular, the pre-scanning process can obtain clinical FOV (field of view) and other information through the sequence calibration stage. In some embodiments, the emission field distribution map can also be obtained through a scanning sequence test or through electromagnetic simulation. The specific methods of scanning sequence testing and electromagnetic simulation can include various existing methods, which are not limited here. S2. Control the magnetic resonance system to perform imaging scanning on the monitored object to obtain the original medical image.

[0052] S3. Perform signal simulation on at least one tissue of the monitored object according to imaging parameters of the imaging scan to obtain a simulated signal of the at least one tissue.

[0053] Among them, the imaging parameters may include time-related parameters such as repetition time (TR), echo time (TE), echo train length (ETL), inversion time (TI), acquisition time (TA), etc. The imaging parameters may be parameters affecting spatial resolution such as layer thickness, layer spacing, matrix, field of view / FOV, etc. The imaging parameters may also be parameters affecting radio frequency pulse energy such as flip angle. The tissue of the monitored object includes at least one of muscle, liver, kidney, prostate, fat, bone marrow, and synovial fluid. The longitudinal relaxation time (T1) and transverse relaxation time (T2) of the simulated signal of different tissues are different.

[0054] S4. Determine the area to be corrected corresponding to the original medical image according to the B1 field mapping image.

[0055] The emission field corresponding to any pixel in the imaging area of ​​the original medical image can be found on the B1 field mapping map, so the area to be corrected corresponding to the original medical image can be determined based on the B1 field mapping map, and then the emission field of the area to be corrected can be corrected.

[0056] S5. Compensate the pixels of the original medical image corresponding to the area to be corrected according to the analog signal to obtain a corrected image.

[0057] Among them, the block equation can give the signal value obtained after the tissue is excited by different radio frequency fields (B1) and the signal evolves, that is, the analog signal value, so that the proportional relationship between the analog signal under different radio frequency fields and the ideal radio frequency field can be obtained; the B1 field mapping diagram reflects the radio frequency field emission at different positions of the actual scanned image, and the actual scanned image can be supplemented with the proportional relationship of the analog signal to obtain the corrected image.

[0058] In this embodiment, the pixels of the original medical image of the area to be corrected are compensated according to the analog signal of the monitored object tissue, thereby improving the uniformity of the image contrast, thereby enhancing the quality of the medical image and facilitating the subsequent use of the medical image.

[0059] In an optional embodiment, step S5 includes:

[0060] S51. Simulate the imaging scan parameters to obtain analog signals under various voltage factors. The voltage factor (B1 ratio) is generally used to reflect the degree of non-uniformity of the B1 field. The voltage factor is 1 where the B1 field is uniform. Since the B1 non-uniformity of the system is limited, the actual voltage factor range is generally between 0.2-0.6.

[0061] Figure 2 The horizontal axis is the voltage factor (B1 ratio), Figure 2 The vertical axis is the signal value obtained by simulating muscle, liver, kidney, prostate, fat, bone marrow, and synovial fluid blocks under different voltage factors.

[0062] S52, determining a compensation factor according to the B1 field mapping field image and the simulation signal.

[0063] For example, the voltage factor is 0.9, and the analog signal value obtained by the corresponding flip angle simulation under this voltage factor is a. It is known that the voltage factor when the emission field is uniform is 1, and the analog signal value obtained by the corresponding flip angle simulation is b. Then under the current voltage factor, the compensation factor of the pixel position is the ratio of a to b.

[0064] S53: Compensate the pixels of the original medical image corresponding to the area to be corrected according to the compensation factor.

[0065] In this embodiment, a compensation factor is determined according to the voltage factor and the analog signal, and then the pixels of the original medical image corresponding to the area to be corrected are compensated according to the compensation factor, thereby improving the efficiency of adjusting the uniformity of image contrast.

[0066] In an optional embodiment, the magnetic resonance image processing method further includes:

[0067] S21. Segment the original medical image to obtain reference tissue.

[0068] Step S52 includes:

[0069] S521 , determining a compensation factor according to the B1 field mapping field image and the simulated signal of the reference tissue under various voltage factors.

[0070] For example, the original medical image is segmented to obtain reference tissue muscle, and the analog signal of the reference tissue corresponding to the voltage factor in the range of 0.2 to 1.6 is determined. Then, the analog signal of the reference tissue corresponding to the voltage factor of 1V is determined as the compensation factor, and the analog signal of the reference tissue corresponding to other voltage factors is adjusted to the compensation factor to compensate the pixels of the original medical image.

[0071] In this embodiment, the compensation factor is determined by the voltage factor and the reference tissue simulation signal obtained after segmenting the original medical image, and then the pixels of the original medical image corresponding to the area to be corrected are compensated according to the obtained compensation factor, thereby further improving the efficiency of adjusting the uniformity of image contrast.

[0072] In an optional embodiment, the magnetic resonance image processing method further includes:

[0073] S22. Segment the original medical image to obtain various types of tissues.

[0074] Among them, the multiple types of tissues include at least two of the following: muscle, bone marrow, fat, liver, kidney, prostate, and synovial fluid.

[0075] Step S52 includes:

[0076] S522, determining a compensation factor according to the B1 field mapping field diagram and the simulated signals of various types of tissues under different voltage factors.

[0077] Different types of tissues correspond to a compensation factor, and image pixels of different types of tissues are compensated separately.

[0078] Figure 3The horizontal axis is the voltage factor (B1 ratio) of muscle, liver, kidney, prostate, fat, bone marrow, and synovial fluid. Figure 3 The ordinate is the simulated signal of muscle, liver, kidney, prostate, fat, bone marrow, and synovial fluid when the transmitting field is uniform.

[0079] In this embodiment, the compensation factor is determined by the voltage factor and the analog signals of various types of tissues obtained after segmenting the original medical image, and then the pixels of the original medical image corresponding to the area to be corrected are compensated according to the obtained compensation factor, thereby further improving the accuracy of adjusting the image contrast uniformity, thereby further improving the quality of the medical image.

[0080] A specific example is introduced below to describe the magnetic resonance image processing method of this embodiment in detail. Figure 4 This is the flowchart for this example.

[0081] S401. Perform a pre-scan using a magnetic resonance system.

[0082] S402, obtaining a B1 field mapping image through pre-scanning.

[0083] S403: Perform imaging scanning according to imaging parameters.

[0084] Imaging parameters are also called clinical parameters, including FOV (field of view), resolution, echo time, echo chain length, flip angle, etc.

[0085] S404: Obtain an original medical image according to the imaging scan.

[0086] Among them, during the imaging scanning process, the original medical image can be corrected through motion correction schemes such as camera foresight to make the original medical image free of obvious artifacts.

[0087] S405. Intelligently identify different organizations of the monitored object through artificial intelligence and other solutions.

[0088] Among them, artificial intelligence solutions include deep networks, expert systems and other solutions.

[0089] S406 , obtaining a BLOCK simulation curve or an EPG (Extended Phase Graph) simulation curve.

[0090] It should be noted that the simulation method of this example is not limited to BLOCK simulation technology and EPG simulation technology, and other similar simulation technologies are also applicable to this example.

[0091] Different types of tissues have different components, so the longitudinal relaxation signal (T1) intensity or transverse relaxation signal (T2) intensity of different types of tissues is different. Other key parameters that affect the recovery of magnetic resonance signals, such as TR (Repetition Time), TE (Time Point), TI (Time of Inversion), TB (Transition Zone), FA (Flip Angle), etc., can be identified from GRE (gradient echo sequence), FSE (fast spin echo pulse), EPI (planar echo sequence) and other sequences. Figure 2 For magnetic resonance BLOCK simulation, block simulation results under different voltage factors are obtained according to the T1 and T2 values ​​of muscle, liver, kidney, prostate, fat, bone marrow, and synovial fluid as well as the above parameters.

[0092] S407 . Compensate the original medical image to make the original medical image uniform.

[0093] The block simulation results are compared with the B1 field mapping diagram, and the pixels of the original medical image are corrected and compensated according to the compensation factor where the emission field is uneven.

[0094] Figure 3 The values ​​of the vertical axis represent the simulated signals at different voltage factors after tissue compensation of muscle, liver, kidney, prostate, fat, bone marrow, and synovial fluid.

[0095] S408: Determine the uniformed original medical image as a corrected image.

[0096] This example performs targeted uniformity correction on the contrast of the original medical image according to the characteristics of different tissues, thereby obtaining a high-quality medical image and facilitating the applicability of subsequent medical images.

[0097] Example 2

[0098] The present invention also provides a magnetic resonance image processing system, see Figure 5 , the magnetic resonance image processing system comprises:

[0099] The pre-scan module 1 is used to control the pre-scan of the magnetic resonance system to obtain a B1 field mapping diagram of the magnetic resonance system.

[0100] The scanning module 2 is used to control the magnetic resonance system to perform imaging scanning on the monitored object to obtain original medical images.

[0101] The simulation module 3 is used to perform signal simulation on at least one tissue of the monitored object according to imaging parameters of the imaging scan to obtain a simulated signal of the at least one tissue.

[0102] The analog signal is the intensity of the longitudinal relaxation signal (T1) or the intensity of the transverse relaxation signal (T2).

[0103] The first determination module 41 is used to determine the area to be corrected corresponding to the original medical image according to the B1 field map.

[0104] The correction module 5 is used to compensate the pixels of the original medical image corresponding to the area to be corrected according to the analog signal to obtain a corrected image.

[0105] In this embodiment, the magnetic resonance image processing system compensates the pixels of the original medical image of the area to be corrected according to the analog signal of the monitored object tissue, thereby improving the uniformity of the image contrast, thereby improving the quality of the medical image and facilitating the subsequent use of the medical image.

[0106] In an alternative embodiment, see Figure 5 , the magnetic resonance image processing system further comprises:

[0107] The second determination module 42 is used to obtain analog signals under various voltage factors according to imaging parameter simulation of the imaging scan.

[0108] The third determination module 43 is used to determine the compensation factor according to the B1 field mapping field image and the analog signal.

[0109] The compensation module 6 is used to compensate the pixels of the original medical image corresponding to the area to be corrected according to the compensation factor.

[0110] In this embodiment, the magnetic resonance image processing system determines the compensation factor according to the voltage factor and the analog signal, and then compensates the pixels of the original medical image corresponding to the area to be corrected according to the compensation factor, thereby improving the efficiency of adjusting the image contrast uniformity.

[0111] In an alternative embodiment, see Figure 5 , the magnetic resonance image processing system further comprises:

[0112] The segmentation module 7 is used to segment the original medical image to obtain reference tissue.

[0113] The third determination module 43 is further used to determine the compensation factor according to the B1 field mapping field diagram and the analog signal of the reference tissue under various voltage factors.

[0114] In this embodiment, the magnetic resonance image processing system determines the compensation factor through the voltage factor and the reference tissue simulation signal obtained after segmenting the original medical image, and then compensates the pixels of the original medical image corresponding to the area to be corrected according to the obtained compensation factor, thereby further improving the efficiency of adjusting the image contrast uniformity.

[0115] In an optional embodiment, the segmentation module 7 is also used to segment the original medical image to obtain various types of tissues.

[0116] Among them, the multiple types of tissues include at least two of the following: muscle, bone marrow, fat, liver, kidney, prostate, and synovial fluid.

[0117] The third determination module 43 is further configured to determine the compensation factor according to the B1 field mapping field diagram and the simulated signals of various types of tissues under different voltage factors.

[0118] In this embodiment, the magnetic resonance image processing system determines the compensation factor through the voltage factor and the analog signals of various types of tissues obtained after segmenting the original medical image, and then compensates the pixels of the original medical image corresponding to the area to be corrected according to the obtained compensation factor, thereby further improving the accuracy of adjusting the image contrast uniformity, thereby further improving the quality of the medical image.

[0119] It should be noted that the implementation principles and technical effects of each module of the magnetic resonance image processing system of this embodiment can refer to the corresponding parts of Embodiment 1, and will not be repeated here.

[0120] Example 3

[0121] This embodiment provides an electronic device, Figure 6 The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the magnetic resonance image processing method of the first embodiment is implemented. Figure 6 The electronic device 30 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0122] like Figure 6 As shown, the electronic device 30 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including the memory 32 and the processor 31).

[0123] The bus 33 includes a data bus, an address bus, and a control bus.

[0124] The memory 32 may include a volatile memory, such as a random access memory (RAM) 321 and / or a cache memory 322 , and may further include a read-only memory (ROM) 323 .

[0125] The memory 32 may also include a program / utility 325 having a set (at least one) of program modules 324, such program modules 324 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0126] The processor 31 executes various functional applications and data processing by running the computer programs stored in the memory 32, such as the magnetic resonance image processing method of the first embodiment of the present invention.

[0127] The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 35. Furthermore, the model generating device 30 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 36. Figure 6 As shown, the network adapter 36 communicates with other modules of the model-generated device 30 via the bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the model-generated device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0128] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0129] Example 4

[0130] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the magnetic resonance image processing method of embodiment 1 is implemented.

[0131] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0132] In a possible implementation manner, the present invention may also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the magnetic resonance image processing method of embodiment 1.

[0133] Among them, the program code for executing the present invention can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0134] Although the specific embodiments of the present invention are described above, it should be understood by those skilled in the art that this is only for illustration and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A magnetic resonance image processing method, characterized in that: The magnetic resonance image processing method comprises: Controlling a pre-scan of the magnetic resonance system to obtain a B1 field map of the magnetic resonance system; Controlling the magnetic resonance system to perform imaging scanning on the monitored object to obtain an original medical image; Performing signal simulation on at least one tissue of the monitored object according to imaging parameters of the imaging scan to obtain a simulated signal of the at least one tissue; Determining the area to be corrected corresponding to the original medical image according to the B1 field mapping image; The pixels of the original medical image corresponding to the area to be corrected are compensated according to the analog signal to obtain a corrected image.

2. The magnetic resonance image processing method according to claim 1, characterized in that: The compensating the pixels of the original medical image corresponding to the area to be corrected according to the analog signal comprises: Simulating the imaging parameters of the imaging scan to obtain analog signals under various voltage factors; determining a compensation factor based on the B1 field mapping field image and the analog signal; The pixels of the original medical image corresponding to the area to be corrected are compensated according to the compensation factor.

3. The magnetic resonance image processing method according to claim 2, characterized in that: The magnetic resonance image processing method further comprises: Segmenting the original medical image to obtain reference tissue; The step of determining the compensation factor according to the B1 field mapping field image and the analog signal comprises: A compensation factor is determined based on the B1 field map and a simulated signal of the reference tissue at a plurality of voltage factors.

4. The magnetic resonance image processing method according to claim 2, characterized in that: The magnetic resonance image processing method further comprises: Segmenting the original medical image to obtain multiple types of tissues; The step of determining the compensation factor according to the B1 field mapping field image and the analog signal comprises: The compensation factor is determined according to the B1 field map and the simulated signals of the multiple types of tissues under different voltage factors.

5. The magnetic resonance image processing method according to claim 2, characterized in that: The analog signal is the longitudinal relaxation signal intensity or the transverse relaxation signal intensity.

6. The magnetic resonance image processing method according to claim 4, characterized in that: The multiple types of tissues include at least two of the following: muscle, bone marrow, fat, liver, kidney, prostate, and synovial fluid.

7. A magnetic resonance image processing system, characterized in that: The magnetic resonance image processing system comprises: A pre-scan module, used for controlling the magnetic resonance system to pre-scan, so as to obtain a B1 field mapping diagram of the magnetic resonance system; A scanning module, used for controlling the magnetic resonance system to perform imaging scanning on the monitored object to obtain an original medical image; A simulation module, configured to perform signal simulation on at least one tissue of the monitored object according to imaging parameters of the imaging scan, so as to obtain a simulated signal of the at least one tissue; A first determination module, configured to determine the area to be corrected corresponding to the original medical image according to the B1 field map; The correction module is used to compensate the pixels of the original medical image corresponding to the area to be corrected according to the analog signal to obtain a corrected image.

8. The magnetic resonance image processing system according to claim 7, characterized in that: The magnetic resonance image processing system further comprises: A second determination module is used to obtain analog signals under various voltage factors according to the imaging parameter simulation of the imaging scan; A third determination module, configured to determine a compensation factor according to the B1 field mapping field image and the analog signal; A compensation module is used to compensate the pixels of the original medical image corresponding to the area to be corrected according to the compensation factor.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the magnetic resonance image processing method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the magnetic resonance image processing method according to any one of claims 1 to 6 is implemented.

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