Multi-emission-mode image merging method and system, magnetic resonance imaging method and equipment

Abstract

The invention discloses a multi-emission-mode image merging method and system, and a magnetic resonance imaging method and device. The image merging method comprises the steps of obtaining to-be-merged images of multiple emission modes; determining a uniformity compensation weight of the to-be-merged image of the at least one emission mode according to a difference value between the to-be-merged image of the at least one emission mode and other to-be-merged images; and according to the uniformity compensation weight, carrying out weighted combination on the to-be-combined image to obtain a target image. According to the multi-emission-mode image merging method disclosed by the invention, the uniformity compensation weight of the to-be-merged image in the mode is determined according to the difference value between the to-be-merged image in at least one emission mode and other to-be-merged images, and the to-be-merged image is weighted and merged according to the uniformity compensation weight to obtain the merged image. Uniformity compensation can be performed on the to-be-merged image with local nonuniformity, so that the overall uniformity of the merged image is greatly enhanced, and the signal-to-noise ratio of the merged image is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of magnetic resonance imaging, and in particular to a multi-emission mode image merging method, system, magnetic resonance imaging method and device. Background Art

[0002] During magnetic resonance scanning, the radio frequency transmitting coil transmits a radio frequency signal tuned to the Larmor frequency to generate a radio frequency magnetic field, which causes the precession spin of the atomic nucleus to deviate from the longitudinal direction and the magnetization vector to deviate from the main magnetic field direction to obtain a transverse magnetization vector. The transverse signal received by the receiving coil can be used to reconstruct magnetic resonance images, which are used for disease diagnosis.

[0003] The uniformity of magnetic resonance images is affected by various factors, and the radio frequency transmission field is a major factor affecting image uniformity. The more uniform the transmission field, the better the image quality. Multi-channel transmission is a common way to alleviate radio frequency non-uniformity. Each transmission channel can be modulated by amplitude and phase information individually. By changing the relative amplitude and phase between transmission channels, the radio frequency field uniformity of the target area can be improved. In a high-field strength (>=3 Tesla) magnetic resonance system, as the main magnetic field frequency increases, the radio frequency wavelength gradually approaches the size of the human body structure, and the standing wave effect increases, making the radio frequency field distribution more uneven. In addition, due to the imperfect design of the transmitting coil hardware and the influence of other hardware, the uniformity of the radio frequency field will be further deteriorated.

[0004] Static RF shimming is the most common shimming method in multi-channel transmission. In static shimming, each transmission channel has its own amplitude and phase, and the amplitude and phase of all channels can constitute a transmission mode, and the transmission mode will not change during subsequent image scanning. In ultra-high fields, sometimes the RF field in a single transmission mode cannot make the entire target area uniform. At present, some studies have adopted two or more transmission modes. For example, two transmission modes are used to alternately collect data. The RF fields of the two transmission modes are complementary. Merging the image data under the two transmission modes can improve the uniformity of the entire image. Although the existing merging method mentioned above can improve the uniformity of the overall image, the merged image will still retain the local uneven characteristics unique to each transmission mode. Summary of the invention

[0005] The technical problem to be solved by the present disclosure is to overcome the defect in the prior art that the merged image under multiple emission modes still retains the local uneven characteristics unique to each emission mode, and to provide an image merging method, system, magnetic resonance imaging method and device under multiple emission modes.

[0006] The present invention solves the above technical problems through the following technical solutions:

[0007] The present disclosure provides an image merging method in multiple emission modes, the image merging method comprising:

[0008] Acquire images to be merged in a multi-emission mode;

[0009] Determine a uniformity compensation weight of the image to be combined in at least one emission mode according to a difference value between the image to be combined in at least one emission mode and other images to be combined;

[0010] The images to be combined are weighted combined according to the uniformity compensation weight to obtain a target image.

[0011] Preferably, the multi-emission mode images to be merged include a first emission mode image and a second emission mode image;

[0012] The step of determining the uniformity compensation weight of the image to be combined in at least one emission mode according to the difference value between the image to be combined in at least one emission mode and other images to be combined comprises:

[0013] The uniformity compensation weights of the first emission mode image and the second emission mode image are determined according to a difference value between the first emission mode image and the second emission mode image.

[0014] Preferably, the step of determining the uniformity compensation weights of the first emission mode image and the second emission mode image according to the difference value between the first emission mode image and the second emission mode image comprises:

[0015] Determine, according to a ratio of a signal value at any position of the first emission mode image to a signal value at a corresponding position of the second emission mode image, an image to be compensated having a local signal value that is too low;

[0016] The uniformity compensation weight of the image to be compensated is determined according to the ratio of the signal values ​​and the applied window function.

[0017] Preferably, the step of determining the uniformity compensation weight of the image to be combined in at least one emission mode according to the difference value between the image to be combined in at least one emission mode and other images to be combined comprises:

[0018] Determine whether there is a local signal value of the image to be merged that is too low according to the ratio of the signal value of any position of the image to be merged of the at least one emission mode to the corresponding signal value of the reference signal; the reference signal is used to characterize the overall level of the signal value of the image to be merged in the multiple emission modes;

[0019] If so, the uniformity compensation weight of the image to be combined is determined according to the ratio of the signal values ​​and the applied window function.

[0020] Preferably, after the step of determining the uniformity compensation weight of the image to be merged in at least one emission mode according to the difference value between the image to be merged in at least one emission mode and other images to be merged, the image merging method further comprises:

[0021] Determining a signal-to-noise ratio compensation weight of an image to be merged in at least one emission mode according to a signal value of the image to be merged in the multiple emission modes;

[0022] The images to be combined are weightedly combined according to the uniformity compensation weight and the signal-to-noise ratio compensation weight to obtain a target image.

[0023] Preferably, after the step of determining the signal-to-noise ratio compensation weight of the image to be merged in at least one emission mode according to the signal value of the image to be merged in the multiple emission modes, the image merging method further comprises:

[0024] The signal-to-noise ratio compensation weight is adjusted according to the signal-to-noise ratio of the image after uniformity compensation.

[0025] The present disclosure also provides a magnetic resonance imaging method, the magnetic resonance imaging method comprising:

[0026] acquiring magnetic resonance scan images in a multi-emission mode;

[0027] The magnetic resonance scanning images in the multi-transmission mode are merged using the multi-transmission mode image merging method as described above to obtain a target magnetic resonance scanning image.

[0028] The present disclosure also provides an image merging system with multiple emission modes, wherein the image merging method system:

[0029] An image acquisition module, used for acquiring the image to be merged in the multi-emission mode;

[0030] A first weight determination module, configured to determine a uniformity compensation weight of the image to be combined in at least one emission mode according to a difference value between the image to be combined in at least one emission mode and other images to be combined;

[0031] The image weighted merging module is used to perform weighted merging of the images to be merged according to the uniformity compensation weight to obtain a target image.

[0032] Preferably, the multi-emission mode images to be merged include a first emission mode image and a second emission mode image;

[0033] The first weight determination module is specifically used to determine the uniformity compensation weights of the first emission mode image and the second emission mode image according to the difference value between the first emission mode image and the second emission mode image.

[0034] The first weight determination module is further specifically used to determine an image to be compensated having a local signal value that is too low according to a ratio of a signal value at any position of the first emission mode image to a signal value at a corresponding position of the second emission mode image;

[0035] The first weight determination module is further specifically configured to determine the uniformity compensation weight of the image to be compensated according to the ratio of the signal values ​​and the applied window function.

[0036] Preferably, the first weight determination module is also specifically used to determine whether there is a local signal value of the image to be merged that is too low based on the ratio of the signal value at any position of the image to be merged of the at least one emission mode and the corresponding signal value of the reference signal; the reference signal is used to characterize the overall level of the signal value of the image to be merged of the multiple emission modes; if so, determining the uniformity compensation weight of the image to be merged based on the ratio of the signal values ​​and the applied window function.

[0037] Preferably, the image merging system further includes:

[0038] A second weight determination module, configured to determine a signal-to-noise ratio compensation weight of an image to be merged in at least one emission mode according to a signal value of the image to be merged in the multiple emission modes;

[0039] The image weighted merging module is further used to perform weighted merging of the images to be merged according to the uniformity compensation weight and the signal-to-noise ratio compensation weight to obtain a target image.

[0040] Preferably, the image merging system further includes:

[0041] The second weight adjustment module is used to adjust the signal-to-noise ratio compensation weight according to the signal-to-noise ratio of the image after uniformity compensation.

[0042] The present disclosure also provides a magnetic resonance imaging system, the magnetic resonance imaging system comprising:

[0043] A scanning image acquisition module, used for acquiring a magnetic resonance scanning image in a multi-emission mode;

[0044] The scanning image merging module is used to merge the magnetic resonance scanning images in the multi-transmission mode using the image merging system in the multi-transmission mode as described above to obtain a target magnetic resonance scanning image.

[0045] The present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the multi-emission mode image merging method or the magnetic resonance imaging method as described above is implemented.

[0046] The present disclosure also provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the computer program implements the above-mentioned multi-emission mode image merging method or the above-mentioned magnetic resonance imaging method.

[0047] The positive and progressive effects of this disclosure are:

[0048] The image merging method of multiple emission modes provided by the present invention determines the uniformity compensation weight of the image to be merged of at least one emission mode according to the difference value between the image to be merged of the mode and other images to be merged, and weightedly merges the images to be merged according to the uniformity compensation weight to obtain a merged image. Uniformity compensation can be performed on the images to be merged with local non-uniformity, thereby greatly enhancing the overall uniformity of the merged image and improving the signal-to-noise ratio of the merged image. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is the first flow chart of the image merging method in multi-emission mode in Embodiment 1 of the present disclosure.

[0050] Figure 2 This is a schematic diagram of the effect of merging images using an existing multi-emission mode image merging method.

[0051] Figure 3 This is the second flow chart of the image merging method in multi-emission mode in Embodiment 1 of the present disclosure.

[0052] Figure 4 This is a schematic diagram of the effect of merging images using the image merging method in multiple emission modes in Embodiment 1 of the present disclosure.

[0053] Figure 5 It is a schematic diagram of the structure of the electronic device in Embodiment 5 of the present disclosure. DETAILED DESCRIPTION

[0054] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0055] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the text does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0056] As shown in this document, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural, unless the context clearly indicates an exception. Generally speaking, the terms "include" and "comprise" only indicate that the steps and elements that have been clearly identified are included, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0057] The definitions of first and second in this document and the descriptions of first, second, etc. that appear in this document are only used for illustration and distinction of the objects of description, and have no order, nor do they represent a special limitation on the number of devices in this document, and cannot constitute any limitation on this document. For example, a first element may be referred to as a second element without departing from the scope of this disclosure, and similarly, a second element may be referred to as a first element.

[0058] Flowcharts are used herein to illustrate the operations performed by the systems of the embodiments of this invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the various steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0059] Example 1

[0060] Please refer to Figure 1 , which is a first flow chart of the image merging method in the multi-emission mode in this embodiment. Specifically, Figure 1 As shown, the image merging method includes:

[0061] S101, obtain the image to be merged in the multi-emission mode; please refer to Figure 2 , which is a schematic diagram of the effect of merging the images to be merged by the existing multi-emission mode image merging method. Specifically, Figure 2 As shown, the left picture is the image to be merged in one emission mode, the middle picture is the image to be merged in another emission mode, and the right picture is the merged image. There are uneven parts in the upper part of the image in the left picture and uneven parts on the left side of the image in the middle picture. The merged image will have the characteristics of local unevenness of all emission mode images.

[0062] S102. Determine a uniformity compensation weight of an image to be merged in at least one emission mode according to a difference value between the image to be merged in at least one emission mode and other images to be merged; specifically, a larger uniformity compensation weight can be set to weaken local non-uniform characteristics of all emission mode images in the merged image.

[0063] S103 , weightedly merge the images to be merged according to the uniformity compensation weights to obtain a target image.

[0064] Please refer to Figure 3 , which is a second flow chart of the image merging method in the multi-emission mode in this embodiment. Specifically, Figure 3 As shown, in an optional implementation, taking the dual emission mode as an example, the image to be merged in the multi-emission mode includes a first emission mode image and a second emission mode image; step S102 includes:

[0065] Uniformity compensation weights of the first emission pattern image and the second emission pattern image are determined according to a difference value between the first emission pattern image and the second emission pattern image.

[0066] In this embodiment, step S102 includes:

[0067] S1021, determining an image to be compensated having a local signal value that is too low according to a ratio of a signal value at any position of the first emission mode image to a signal value at a corresponding position of the second emission mode image;

[0068] S1022, determine the uniformity compensation weight of the image to be compensated according to the ratio of the signal value and the applied convolution window function. Specifically, the convolution window function can usually be Win(N)=f(N), where N is the applied coordinate range: such as a rectangular window Rect(N)=1 with a size of 1, where N is the current coordinate position.

[0069] In an optional implementation, after step S102, the image merging method further includes:

[0070] S201, determining a signal-to-noise ratio compensation weight of an image to be combined in at least one transmission mode according to signal values ​​of images to be combined in multiple transmission modes;

[0071] S202: Adjust the signal-to-noise ratio compensation weight according to the signal-to-noise ratio of the image after uniformity compensation. Specifically, the signal-to-noise ratio compensation weight of the image with a larger signal-to-noise ratio may be increased.

[0072] S203 , weightedly merge the images to be merged according to the uniformity compensation weight and the signal-to-noise ratio compensation weight to obtain a target image.

[0073] The following is an example to further illustrate the image merging method of the multi-emission mode of this embodiment. Take the merging of clinical scan images as an example. The signal of any clinical sequence (ignoring the main magnetic field B0) can be expressed as f seq (B1 + ). For any point R in the scanning space, the magnetic resonance image signal of the point is f seq (B1 + (R)), then when the nth transmission mode is used, the magnetic resonance image signal at position R is I n (R) = f seq (Tx n(R)), Tx in the formula n is the magnetic field B1 in transmission mode n + This embodiment uses the SOS (Sum Of Squares) method to merge the n images generated by the n emission modes, where n is an integer, and the signal at the R position is merged into By changing the weight of each emission mode image when merging the images, the local uniformity of the merged image is optimized. The signal at the R position after merging is The specific steps are as follows:

[0074] 1. Calculate the signal value I of the first emission mode image at position R point by point Tx1 (R), and the signal value I of the second emission mode image Tx2 The ratio of (R) is D(R) = I Tx1 (R) / I Tx2 (R).

[0075] 2. The uniformity compensation weights U1 and U2 of the first emission mode and the second emission mode are calculated based on the ratio mapping image D. The calculation of U1 and U2 is as follows: traverse the points in D. For any R position, if the amplitude D(R) of the mapping image D at the R position is greater than the threshold Th1, it means that the local signal value of the second emission mode image is too low. Then the uniformity compensation weight map of the second emission mode at the R position is U2(R)=D(R)×Win, and the uniformity compensation weight map of the first emission mode at the R position is U1(R)=k. If D(R) is less than the threshold Th2, it means that the local signal value of the first emission mode image is too low. Then the uniformity compensation weight map of the first emission mode at the R position is U1(R)=k / D(R)×Win, and the uniformity compensation weight map of the second emission mode at the R position is U2(R)=k. When the above two conditions are not met, U1(R) and U2(R) are both set to k. Th1 and Th2 can be any constants; k can be any constant. In this embodiment, k can be 1; Win is an arbitrary window function applied.

[0076] 3. At this time, if U1 and I Tx1 , U2 and I Tx2 Multiplying them point by point will result in an image I with nearly equal uniformity. TX1U with I TX2U The signal-to-noise ratio can be defined as the signal value divided by the noise value, R position image I TX1U The signal-to-noise ratio of (R) is SNR1(R), image I TX2U The signal-to-noise ratio of (R) is SNR2(R). The calculation method of the signal-to-noise ratio compensation weights S1 and S2 is as follows:

[0077]

[0078]

[0079] Among them, Sqrt(2) plays a role in normalizing the final weights, keeping the overall amplitude level of the image consistent before and after the weights are applied. It is worth noting that this embodiment does not limit the specific value of the weight normalization parameter, and those skilled in the art can change the parameter according to the application scenario based on this embodiment.

[0080] Furthermore, it is necessary to calculate the signal-to-noise ratio compensation weight to optimize the signal-to-noise ratio of the merged image, that is, when SNR1(R)>SNR2(R), increase the weight of SNR1(R), otherwise increase the weight of SNR2(R).

[0081] In addition, the signal-to-noise ratio compensation weight S can correspond to different calculation methods according to different image merging methods, and this embodiment does not limit the specific calculation method of the signal-to-noise ratio compensation weight. For example, when the images are averaged and merged (amplitude or complex), the calculation method of S is as follows:

[0082]

[0083]

[0084] Among them, m1 and m2 are arbitrary constants, which are used to add weights to the impact of the two graphs.

[0085] 4. Calculate the final weights W1 and W2:

[0086]

[0087]

[0088] The weighted combined multi-emission mode image is:

[0089]

[0090] Please refer to Figure 4 , which is a schematic diagram of the effect of merging the images to be merged by the image merging method of the multi-emission mode in this embodiment. Specifically, Figure 4 As shown, the left picture is an image after the existing multi-emission mode image merging method merges the images to be merged, the middle picture is an image after the multi-emission mode image merging method in this embodiment merges the images to be merged according to the uniformity compensation weight, and the right picture is an image after the multi-emission mode image merging method in this embodiment merges the images to be merged according to the uniformity compensation weight and the signal-to-noise ratio compensation weight. It can be seen that the overall uniformity of the merged image is greatly enhanced, and the signal-to-noise ratio of the merged image is also improved.

[0091] In another optional implementation, in a multi-transmission mode application scenario, that is, an application scenario where the combined transmission mode is greater than 2, step S102 includes:

[0092] S1023, determining whether there is a local signal value of the image to be combined that is too low according to the ratio of the signal value of any position of the image to be combined in at least one emission mode to the corresponding signal value of the reference signal; the reference signal is used to characterize the overall level of the signal value of the image to be combined in multiple emission modes;

[0093] S1024: If yes, determine the uniformity compensation weight of the image to be combined according to the ratio of the signal values ​​and the applied window function.

[0094] Specifically, the D(R) value at the R position can be calculated as follows:

[0095] D(R)=I Txn (R) / I Ref (R)

[0096] Among them, I Txn is the signal value of the nth transmission mode, I Ref is the reference signal, which can be obtained according to the n signal values ​​obtained by the n transmission modes at the R position, and the method of obtaining it can be the maximum value Max(I Tx1 ,I Tx2 ...I Txn )、Median(I Tx1 ,I Tx2 ...I Txn ), D is the difference map. If D(R) is too low, it means that the local signal value of the corresponding single-mode image is too low, then the uniformity compensation weight of the image to be merged is determined according to the ratio of the signal values ​​and the applied window function.

[0097] The multi-emission mode image merging method provided in this embodiment determines the uniformity compensation weight of the image to be merged of at least one emission mode according to the difference value between the image to be merged of the mode and other images to be merged, and weightedly merges the images to be merged according to the uniformity compensation weight to obtain a merged image. A window function can be applied to the images to be merged that have local signal values ​​that are too low, thereby greatly enhancing the overall uniformity of the merged image and improving the signal-to-noise ratio of the merged image.

[0098] Example 2

[0099] This embodiment provides a magnetic resonance imaging method, the magnetic resonance imaging method comprising:

[0100] acquiring magnetic resonance scan images in a multi-emission mode;

[0101] The magnetic resonance scan images in the multi-transmission mode are merged using the image merging method in the multi-transmission mode in Example 1 to obtain a target magnetic resonance scan image.

[0102] The magnetic resonance imaging method provided in this embodiment combines the magnetic resonance scanning images in the multi-emission mode by utilizing the above-mentioned multi-emission mode image merging method to obtain the target magnetic resonance scanning image, and can compensate for the uniformity of the magnetic resonance scanning image with local unevenness, thereby greatly enhancing the overall uniformity of the merged magnetic resonance scanning image and improving the signal-to-noise ratio of the merged magnetic resonance scanning image.

[0103] Example 3

[0104] This embodiment provides an image merging system in a multi-transmission mode, wherein the image merging method system:

[0105] An image acquisition module, used for acquiring the image to be merged in the multi-emission mode;

[0106] A weight determination module, used to determine a uniformity compensation weight of the image to be combined in at least one emission mode according to a difference value between the image to be combined in at least one emission mode and other images to be combined;

[0107] The image weighted merging module is used to perform weighted merging of the images to be merged according to the uniformity compensation weight to obtain a target image.

[0108] Preferably, the multi-emission mode images to be merged include a first emission mode image and a second emission mode image;

[0109] The first weight determination module is specifically used to determine the uniformity compensation weights of the first emission mode image and the second emission mode image according to the difference value between the first emission mode image and the second emission mode image.

[0110] The first weight determination module is further specifically used to determine an image to be compensated having a local signal value that is too low according to a ratio of a signal value at any position of the first emission mode image to a signal value at a corresponding position of the second emission mode image;

[0111] The first weight determination module is further specifically configured to determine the uniformity compensation weight of the image to be compensated according to the ratio of the signal values ​​and the applied window function.

[0112] Preferably, the first weight determination module is also specifically used to determine whether there is a local signal value of the image to be merged that is too low based on the ratio of the signal value at any position of the image to be merged of the at least one emission mode and the corresponding signal value of the reference signal; the reference signal is used to characterize the overall level of the signal value of the image to be merged of the multiple emission modes; if so, determining the uniformity compensation weight of the image to be merged based on the ratio of the signal values ​​and the applied window function.

[0113] Preferably, the image merging system further includes:

[0114] A second weight determination module, configured to determine a signal-to-noise ratio compensation weight of an image to be merged in at least one emission mode according to a signal value of the image to be merged in the multiple emission modes;

[0115] The image weighted merging module is further used to perform weighted merging of the images to be merged according to the uniformity compensation weight and the signal-to-noise ratio compensation weight to obtain a target image.

[0116] Preferably, the image merging system further includes:

[0117] The second weight adjustment module is used to adjust the signal-to-noise ratio compensation weight according to the signal-to-noise ratio of the image after uniformity compensation.

[0118] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only schematic, in which the modules described as separate components may or may not be physically separated, and the modules displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. Ordinary technicians in this field can understand and implement it without paying creative work.

[0119] Example 4

[0120] The present disclosure provides a magnetic resonance imaging system, the magnetic resonance imaging system comprising:

[0121] A scanning image acquisition module, used for acquiring a magnetic resonance scanning image in a multi-emission mode;

[0122] The scanning image merging module is used to merge the magnetic resonance scanning images in the multi-transmission mode using the image merging system in the multi-transmission mode as described above to obtain a target magnetic resonance scanning image.

[0123] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only schematic, in which the modules described as separate components may or may not be physically separated, and the modules displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. Ordinary technicians in this field can understand and implement it without paying creative work.

[0124] Example 5

[0125] Figure 5 This is a schematic diagram of the structure of an electronic device provided in Embodiment 5 of the present disclosure. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the image merging method of multiple emission modes in Embodiment 1 or the magnetic resonance imaging method in Embodiment 2 when executing the program. Figure 5 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 disclosure.

[0126] like Figure 5 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).

[0127] The bus 33 includes a data bus, an address bus, and a control bus.

[0128] 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 .

[0129] 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.

[0130] The processor 31 executes various functional applications and data processing by running the computer programs stored in the memory 32, such as the image merging method of the multi-emission mode in the first embodiment of the present disclosure or the magnetic resonance imaging method in the second embodiment.

[0131] 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-generated 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. As shown, the network adapter 36 communicates with other modules of the model-generated device 30 via a bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules may 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 (RAID) systems, tape drives, and data backup storage systems.

[0132] 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 the embodiments of the present disclosure, 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.

[0133] Example 6

[0134] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the multi-emission mode image merging method in embodiment 1 or the magnetic resonance imaging method in embodiment 2 is implemented.

[0135] 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.

[0136] In a possible implementation, the present disclosure can 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 image merging method of multiple emission modes in Example 1 or the magnetic resonance imaging method in Example 2.

[0137] Among them, the program code for executing the present disclosure 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.

[0138] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure 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 disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. A method for merging images in multiple emission modes, characterized in that: The image merging method comprises: Acquire images to be merged in a multi-emission mode; Determine a uniformity compensation weight of the image to be combined in the at least one emission mode according to a difference value between the image to be combined in the at least one emission mode and other images to be combined; The images to be combined are weighted combined according to the uniformity compensation weight to obtain a target image.

2. The image merging method according to claim 1, characterized in that: The multi-emission mode images to be merged include a first emission mode image and a second emission mode image; The step of determining the uniformity compensation weight of the image to be combined in at least one emission mode according to the difference value between the image to be combined in at least one emission mode and other images to be combined comprises: The uniformity compensation weights of the first emission mode image and the second emission mode image are determined according to a difference value between the first emission mode image and the second emission mode image.

3. The image merging method according to claim 2, characterized in that: The step of determining uniformity compensation weights of the first emission mode image and the second emission mode image according to a difference value between the first emission mode image and the second emission mode image comprises: Determine, according to a ratio of a signal value at any position of the first emission mode image to a signal value at a corresponding position of the second emission mode image, that there is an image to be compensated whose local signal value is too low; The uniformity compensation weight of the image to be compensated is determined according to the ratio of the signal values ​​and the applied window function.

4. The image merging method according to claim 1, characterized in that: The step of determining the uniformity compensation weight of the image to be combined in at least one emission mode according to the difference value between the image to be combined in at least one emission mode and other images to be combined comprises: Determine whether there is a local signal value of the image to be merged that is too low according to the ratio of the signal value of any position of the image to be merged of at least one emission mode to the corresponding signal value of the reference signal; the reference signal is used to characterize the overall level of the signal value of the image to be merged in multiple emission modes; If so, the uniformity compensation weight of the image to be combined is determined according to the ratio of the signal values ​​and the applied window function.

5. The image merging method according to claim 1, characterized in that: After the step of determining the uniformity compensation weight of the image to be merged in at least one emission mode according to the difference value between the image to be merged in at least one emission mode and other images to be merged, the image merging method further includes: Determining a signal-to-noise ratio compensation weight of an image to be merged in at least one emission mode according to a signal value of the image to be merged in the multiple emission modes; The images to be combined are weightedly combined according to the uniformity compensation weight and the signal-to-noise ratio compensation weight to obtain a target image.

6. The image merging method according to claim 5, characterized in that: After the step of determining the signal-to-noise ratio compensation weight of the image to be merged in at least one emission mode according to the signal value of the image to be merged in the multiple emission modes, the image merging method further includes: The signal-to-noise ratio compensation weight is adjusted according to the signal-to-noise ratio of the image after uniformity compensation.

7. A magnetic resonance imaging method, characterized in that: The magnetic resonance imaging method comprises: acquiring magnetic resonance scan images in a multi-emission mode; The magnetic resonance scanning images in the multi-transmission mode are merged using the multi-transmission mode image merging method as described in any one of claims 1 to 6 to obtain a target magnetic resonance scanning image.

8. A multi-transmission mode image merging system, characterized in that: The image merging method system: An image acquisition module, used for acquiring the image to be merged in the multi-emission mode; A weight determination module, used to determine a uniformity compensation weight of the image to be combined in at least one emission mode according to a difference value between the image to be combined in at least one emission mode and other images to be combined; The image weighted merging module is used to perform weighted merging of the images to be merged according to the uniformity compensation weight to obtain a target image.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the multi-emission mode image merging method according to any one of claims 1 to 6 or the magnetic resonance imaging method according to claim 7 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 image merging method of multiple emission modes according to any one of claims 1 to 6 or the magnetic resonance imaging method according to claim 7 is implemented.

Images