A CT gantry rotation accuracy adjusting method and system, storage medium and electronic device

Abstract

The application discloses a CT gantry rotation precision adjusting method and system, a storage medium and electronic equipment, and comprises the following steps: collecting detection signals during gantry rotation, calculating the time interval average value of adjacent detection signals, and adjusting the gantry counterweight; establishing a film body to be scanned, collecting first projection data, arranging the first projection data by using a linear interpolation algorithm to obtain second projection data; reconstructing the film body according to the second projection data to obtain a first reconstructed image, judging whether there is an artifact according to the reconstructed image, if there is, adding a compensation angle to the angle superposition simulation curve of the first projection data, arranging the first projection data after compensation by using a linear interpolation algorithm to obtain third projection data, reconstructing an image according to the third projection data, accurately identifying the unbalanced position of the gantry, and adjusting the counterweight at the position to realize the effect of improving the CT gantry rotation precision. The reconstructed image obtained by scanning the surface of the film body effectively reflects the rotation error of the CT.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of biomedical imaging, and in particular to a CT gantry rotation precision adjustment method, system, storage medium and electronic device. BACKGROUND

[0002] Computed Tomography (CT) technology has a wide range of applications in the field of biomedical detection. The rotation precision of the CT gantry is one of the key factors affecting the CT image.

[0003] The implementation of CT gantry rotation is driven by a motor, and the gantry is rotated by a specific transmission device. There are two main transmission devices, one is gear transmission, and the other is belt transmission. Compared with gear transmission, belt transmission has a simple structure and low cost, and therefore has been widely used. Because the belt will show tension difference under different stress conditions, it will affect the timeliness of torque transmission and cause small changes in transmission ratio. Therefore, by using the belt transmission method, it is necessary to ensure good gantry dynamic balance performance, so that the belt is uniformly stressed during gantry rotation, and ultimately a better rotation precision is achieved.

[0004] The main method of CT gantry dynamic balance adjustment is to calculate the position of the main unbalance point according to the speed distribution of the CT gantry during rotation, and then to improve the dynamic balance performance of the gantry by adding or reducing counterweights at the unbalance point. Due to the torque transmission lag and transmission ratio changes caused by the belt transmission, the encoder feedback signal at the motor end cannot accurately reflect the actual rotation angle and speed of the gantry, so it is necessary to add a feedback signal at the CT gantry end. The main way at present is to uniformly process a certain number of circular holes along the circumferential direction of the gantry, and install an optical sensor. During the rotation of the gantry, the angle information of the gantry at different times is obtained by the change of the signal of the optical sensor passing through the circular hole, so as to calculate the actual speed distribution and carry out dynamic balance adjustment. Due to the limitation of space, the number of circular holes that can be processed is limited, so the angle resolution identified by the optical sensor signal is relatively low, usually not higher than 1 degree.

[0005] When the spatial resolution of CT needs to reach higher requirements, such as 3lp / mm, only based on the above dynamic balance adjustment cannot guarantee the rotation precision of the gantry required by high-resolution images. SUMMARY

[0006] The purpose of the present application is to solve the problems existing in the prior art, and to provide a CT gantry rotation precision adjustment method, system, storage medium and electronic device.

[0007] In order to achieve the above purpose, the technical scheme adopted by the present application is as follows: a CT gantry rotation precision adjustment method, comprising:

[0008] S1: collecting circumferential direction detection signals when the gantry rotates, calculating time interval average values of adjacent detection signals, adjusting gantry counterweights, and recording a gantry angle corresponding to a minimum value of the time interval after adjustment is completed;

[0009] S2: establishing a membrane body to perform scanning, collecting first projection data, and performing parallel arrangement on the first projection data by using a linear interpolation algorithm according to geometric parameters of a system, to obtain second projection data;

[0010] S3: reconstructing the membrane body according to the second projection data to obtain a first reconstructed image, judging whether there is an artifact according to the reconstructed image, if there is, adding a compensation angle to an angle superposition simulation curve of the first projection data, and if there is not, the rotation accuracy of the gantry meets the requirements, and the adjustment process is completed;

[0011] S4: performing parallel arrangement on the first projection data after compensation by using a linear interpolation algorithm to obtain third projection data, and reconstructing the membrane body based on the third projection data to obtain a second reconstructed image;

[0012] S5: judging whether there is an artifact according to the second reconstructed image, if there is, adjusting parameters of the simulation curve, adding a compensation angle to an angle superposition simulation curve of the collected first projection data, and returning to step S4; and if there is not, recording the gantry angle and / or the compensation angle;

[0013] S6: adjusting the counterweights again according to the gantry angle and the compensation angle, and returning to step S2.

[0014] As a further description of the above technical solution: in the step S1, further comprising steps of:

[0015] S11: determining an imbalance position interval of the gantry according to the average values of the time intervals of the detection signals and the detection signal corresponding to the minimum value, and adjusting the gantry counterweights;

[0016] S12: setting a threshold value of the time interval, judging whether a difference between a maximum value and a minimum value in the average values of the time intervals is less than the threshold value, and if so, recording the gantry angle corresponding to the minimum value.

[0017] As a further description of the above technical solution: in the step S2, further comprising steps of:

[0018] S21: establishing a membrane body and performing spiral scanning to collect projection of a detector to obtain a plurality of first projection data;

[0019] S22: re-arrange the first projection data by using 180° linear interpolation algorithm to obtain second parallel projection data.

[0020] As a further description of the above technical solution: the simulation curve is a sine curve.

[0021] As a further description of the above technical solution: the compensation angle is less than the angle difference between adjacent two detection signals.

[0022] As a further description of the above technical solution: the compensation angle is adjusted until the artifact disappears, and the compensation angle at this time is recorded, and the gantry imbalance position is the sum of the gantry angle and the compensation angle.

[0023] As a further description of the above technical solution: in the step S6, further comprising the steps of:

[0024] S61: spiral scanning the film body to obtain a third reconstructed image;

[0025] S62: comparing the first reconstructed image and the third reconstructed image to confirm the gantry rotation detection result.

[0026] Further comprising a control system, the control system is suitable for the adjusting method of any one of the above technical solutions, comprising:

[0027] The acquisition module acquires the circumferential direction detection signal when the gantry rotates, and acquires the first projection data when the film body rotates and scans;

[0028] The calculation module calculates the parameters of the simulation curve superimposed on the rotation speed of the gantry to determine the compensation angle;

[0029] The identification module identifies the first reconstructed image, the second reconstructed image and the third reconstructed image to determine whether there is an artifact

[0030] The control module controls the rotation of the gantry and establishes the corresponding film body.

[0031] Further comprising a computer readable storage medium storing a computer program for the adjusting method, wherein the computer program causes the computer to execute the adjusting method of any one of the above technical solutions.

[0032] Further comprising an electronic device, comprising:

[0033] One or more processors; memory; and

[0034] One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the programs comprise a program for executing the adjusting method in any of the above technical solutions.

[0035] The above technical solutions have the following advantages or beneficial effects:

[0036] 1. By establishing a membrane body, using a 180° linear interpolation algorithm for parallel projection arrangement and membrane body reconstruction, and superimposing the simulation curve of the rotating speed to further accurately identify the imbalance position of the gantry, and adjusting the counterweight at the position, the effect of improving the CT gantry rotation precision is realized, and by scanning the surface of the membrane body, the reconstructed image effectively reflects the CT rotation error. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 The flow of the adjusting method proposed in the application Figure 1 ;

[0038] Figure 2 The flow of the adjusting method proposed in the application Figure 2 ;

[0039] Figure 3 The flow of the adjusting method proposed in the application Figure 3 ;

[0040] Figure 4 The flow of the adjusting method proposed in the application Figure 4 ;

[0041] Figure 5 The structural schematic diagram of the control system proposed in the application

[0042] Figure 6 The structural schematic diagram of the CT gantry in the application

[0043] Figure 7 The reconstructed image of the membrane body after the existing conventional dynamic balance adjustment

[0044] Figure 8 The first reconstructed image after adjustment in the application

[0045] Figure 9 The scanning image of the membrane body before adjustment in the application

[0046] Figure 10 The scanning image of the membrane body after adjustment in the application

[0047] LEGEND:

[0048] 1, acquisition module; 2, calculation module; 3, identification module; 4, control module. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0050] With reference to Figure 1 , the present application provides an embodiment: a CT gantry rotation precision adjusting method, comprising:

[0051] S1: collecting circumferential direction detection signals during gantry rotation, calculating the average value of time intervals of adjacent detection signals, adjusting the gantry counterweight, and recording the gantry angle corresponding to the minimum time interval after the adjustment is completed;

[0052] S2: establishing a membrane body for scanning, collecting first projection data, and arranging the first projection data in parallel by using a linear interpolation algorithm according to the geometric parameters of the system to obtain second projection data;

[0053] S3: reconstructing the membrane body according to the second projection data to obtain a first reconstructed image, judging whether there is an artifact according to the reconstructed image, if there is, adding a compensation angle to the angle of the first projection data by superimposing a simulation curve, and if there is not, the rotation precision of the gantry meets the requirements, and the adjustment process is completed;

[0054] S4: arranging the first projection data after compensation in parallel by using a linear interpolation algorithm to obtain third projection data, and reconstructing the membrane body based on the third projection data to obtain a second reconstructed image;

[0055] S5: judging whether there is an artifact according to the second reconstructed image, if there is, adjusting the parameters of the simulation curve and adding a compensation angle to the angle of the collected first projection data by superimposing the simulation curve, and returning to step S4; and if there is not, recording the gantry angle and / or the compensation angle;

[0056] S6: adjusting the counterweight again according to the gantry angle and the compensation angle, and returning to step S2

[0057] In the embodiment, the circumferential direction detection signals during gantry rotation are collected, the average value of time intervals of adjacent detection signals is calculated, the gantry counterweight is adjusted for dynamic balance adjustment, based on the dynamic balance adjustment result, the membrane body is established, the parallel projection arrangement and the membrane body reconstruction are performed by using a 180° linear interpolation algorithm, and the simulation curve of the rotation speed is superimposed to further accurately identify the unbalanced position of the gantry, and the counterweight is adjusted at the position to achieve the effect of improving the rotation precision of the CT gantry. The reconstructed image obtained by scanning the surface of the membrane body effectively reflects the rotation error of the CT.

[0058] Reference Figure 2 Step S1 further includes the following step:

[0059] S11: Based on the average value of the time intervals of several detection signals and the detection signal corresponding to the minimum value, determine the unbalanced position range of the frame and adjust the frame counterweight.

[0060] S12: Set a threshold for the time interval, and determine whether the difference between the maximum and minimum values ​​among the average values ​​of several time intervals is less than the threshold. If it is less, record the rack angle corresponding to the minimum value.

[0061] In this embodiment, routine dynamic balancing is performed on the CT gantry, and AP is defined. i This refers to the detection signal along the circumference of the CT gantry. `i` is the signal index value, i = 0, 1, 2, 3…S-1, and `S` is the total number of angle signals. Define `ΔAP` as the angle difference between two adjacent signals, `ΔAP = 2*π / S`. Each signal `AP`... i The corresponding angle value α i =i*ΔAP. Define T i For signal AP during rack rotation i With AP i+1 The time interval between them, T i The larger the value, the greater the angle α. i Rotate to α i+1 The longer the time required, the more specific the steps for dynamic balancing will be:

[0062] During the rotation of the CT gantry, multiple AP images were continuously acquired. i Signal.

[0063] Calculate T i average value

[0064] Get The index value i corresponding to the minimum value min This indicates that the frame is at angle α. imin With α imin+1 The rotational speed is fastest between these intervals, therefore the greatest imbalance of the frame is located in this range.

[0065] Adjust the frame at angle α imin With α imin+1 The weight distribution between them.

[0066] Repeat the above steps until The difference between the maximum and minimum values ​​is less than the threshold.

[0067] After recording The frame angle α corresponding to the minimum valueimin .

[0068] Referring to Figure 3 , in step S2, further comprising steps of:

[0069] S21: establishing a phantom and performing spiral scanning to collect projection of the detector to obtain a plurality of first projection data;

[0070] S22: using 180° linear interpolation algorithm to rearrange the plurality of first projection data to obtain a plurality of second projection data of parallel projection.

[0071] In the embodiment, the phantom is a cuboid with high flatness, the flatness is ≤0.2mm, the length, width and height are 30cm, 20cm and 5cm respectively, by establishing the phantom, it is easy to identify the artifacts caused by the gantry rotation error in the reconstructed image, the spiral scanning is performed and the first projection data is collected, and the first projection data is defined as P raw(i，j，k) , wherein i is the row index number of the detector, j is the column index number of the detector, and k is the projection data index number. The rotation speed of the spiral scanning gantry is defined as ω, and the integration time of the detector is defined as T int . The number of detector projections N cycle collected by one rotation of the gantry is 2*π / (ω*T int ). In order to reduce the system error, T int is reasonably set so that N cycle is an integer. Thus, the gantry angle α sample(k) corresponding to each group of projections can be obtained as (k%N cycle )*T int *ω+α offset , wherein α offset represents the angle of the gantry at the beginning of the collection, which is provided by the synchronization mechanism of the collection module and the control module in the control system, the remainder of the projection data index number k and the number of detector projections N cycle , the product of the integration time T int of the detector and the rotation speed ω, reflects the gantry angle corresponding to each group of projections.

[0072] According to the geometric parameters of the system, the 180° linear interpolation algorithm is used to rearrange the first projection data to obtain the second projection data P par(m，n， q) of parallel projection, m is the parallel projection angle index value, m=0, 1, 2, 3…M-1, M is the total number of parallel projections, and the angle difference ΔPA between adjacent two parallel projections is π / M.

[0073] n is the number of columns of rearranged data under each parallel projection angle.

[0074] q is the parallel projection data in the Z direction (for example Figure 6The position index value is shown.

[0075] The physical size of the detector pixel is defined as μ, the distance from the focal point to the scanning center is R f , and the distance from the focal point to the detector is R d . The minimum size μ recon of the image reconstruction is μ * R f / R d .

[0076] In order to fully reflect the rotation error of the gantry:

[0077] The rearranged pixel size is set to the minimum reconstruction size μ recon .

[0078] The threshold value of the 180° linear interpolation algorithm is set to μ recon , that is, when each pixel in the rearranged parallel projection is calculated, only the pixel of the first projection data whose distance from the rearranged pixel is not more than μ recon will be used for interpolation calculation.

[0079] A simulation curve is superimposed on the rotation speed function of the gantry, and the simulation curve is a sine curve. The compensation angle is less than the angle difference between adjacent two detection signals. The compensation angle is adjusted until the artifact disappears, and the compensation angle at this time is recorded. The gantry imbalance position is the sum of the gantry angle and the compensation angle.

[0080] In this embodiment, reconstruction is performed based on the parallel projection data P par(m，n，q) , and the voxel size of the reconstruction is set to μ recon , to obtain the first reconstruction image of the scanning film body. The display angle of the first reconstruction image is adjusted to obtain the image of the surface part of the cuboid film body. Since the parallel projection data calculation is based on 180°, that is, the first projection data of half a circle (the fan angle also needs to be considered in practice), when the rotation of the gantry has a significant error, the data of the adjacent two half circles will have asymmetry, which is reflected on the first reconstruction image, and will cause obvious strip artifacts.

[0081] Under ideal conditions, the gantry rotates at a constant speed ω. Due to the imbalance of the gantry, the actual rotation speed curve is similar to a sine curve, so a sine curve is superimposed on the ideal rotation speed ω to simulate the actual rotation speed, which is specifically defined as: where k is the index number of the collected projection data, D is the imbalance coefficient, and β is the compensation angle. According to the formula, the rotation speed of the gantry at angle α imin + β is the maximum. It can be seen that the rotation speed of the gantry between angles α imin and α imin+1 is the fastest, so the value range of β is [0, ΔAP]. The angle corresponding to the collected projection data can be expressed as:

[0082]

[0083] wherein, Δω t is the difference of the rotation speed, t is the rotation time, and steps S4-S5 are repeated with different β values until the strip artifact in the first reconstructed image disappears. The β value at this time is recorded as β final Adjust the counterweight at the position of the gantry imbalance (α imin +β final ).

[0084] Referring to Figure 4 , in step S6, further comprising steps:

[0085] S61: spiral scanning the film body to obtain a third reconstructed image;

[0086] S62: comparing the first reconstructed image and the third reconstructed image to confirm the gantry rotation detection result.

[0087] Referring to Figure 7 and Figure 8 , in this embodiment, the film body is spiral scanned and reconstructed to obtain a third reconstructed image, and the first reconstructed image and the third reconstructed image are compared, which can effectively reflect the rotation error of the CT gantry.

[0088] Referring to Figure 5 , the present application also provides an embodiment of a control system suitable for the adjustment method in any of the above technical solutions, comprising:

[0089] a collection module 1 for collecting a circumferential direction detection signal when the gantry rotates, and first projection data when the film body is rotated scanned;

[0090] a calculation module 2 for calculating a parameter after superimposing an analog curve of the rotation speed of the gantry to determine a compensation angle;

[0091] an identification module 3 for identifying the first reconstructed image, the second reconstructed image and the third reconstructed image to determine whether there is an artifact;

[0092] a control module 4 for controlling the gantry to rotate and establishing a corresponding film body.

[0093] It can be understood that the software test system provided by the embodiments of the present application corresponds to the above test method, and the explanation, examples, beneficial effects and other parts of the related content of the selection method can be referred to the corresponding content, which will not be repeated here.

[0094] The present application also provides an embodiment of a computer readable storage medium which stores a computer program for the adjustment method, wherein the computer program enables the computer to execute the adjustment method in any of the above technical solutions.

[0095] The computer readable storage medium can be a computer readable storage medium or a communication medium. The communication medium includes any medium that facilitates transfer of a computer program from one place to another. A storage medium can be any available medium that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, computer readable storage medium can be RAM, ROM, EEPROM, EPROM, flash memory, floppy disk, etc. Computer readable storage medium can also be a combination of one or more of the above.

[0096] In particular, the computer readable storage medium can be realized by any type of volatile or non-volatile storage devices, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic or optical disks. The storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.

[0097] The present application also provides an embodiment of an electronic device, comprising:

[0098] one or more processors; a memory; and

[0099] one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the program comprises a method for adjusting as any of the above technical solutions.

[0100] The memory can include a high-speed random access memory (RAM) and can also include a non-volatile memory (NVM), such as at least one disk memory, and can also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0101] The processor is configured to execute the computer program stored in the memory. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in combination with the application can be directly embodied as execution completed by a hardware processor, or executed by a combination of hardware and software modules in the processor.

[0102] Optionally, the memory can be independent or integrated with the processor.

[0103] When the memory is a device independent of the processor, the electronic device can further include a bus. The bus is used to connect the memory and the processor. The bus can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0104] It should be noted that, through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software plus necessary universal hardware platforms. Based on such an understanding, the above technical solutions, essentially or in other words, the part of the prior art that makes a contribution, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments. In this article, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the processes, methods, articles or devices that include a series of elements not only include those elements, but also include other elements not explicitly listed or inherent to such processes, methods, articles or devices. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or device that includes the element.

[0105] Finally, it should be noted that: the above only describes the preferred embodiments of the present application, and is not intended to limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features, any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application, should be included in the protection scope of the present application.

Claims

1. A method of adjusting the accuracy of rotation of a CT gantry, characterized by, The method comprises the following steps: S1: collecting circumferential direction detection signals when the gantry rotates, calculating the average value of time intervals of adjacent detection signals, adjusting the gantry counterweight, and recording the gantry angle corresponding to the minimum value of the time interval after the adjustment is completed; S2: establishing a film body to perform scanning, collecting first projection data, and performing parallel arrangement on the first projection data by using a linear interpolation algorithm according to the geometric parameters of the system to obtain second projection data; S3: reconstructing the film body according to the second projection data to obtain a first reconstructed image, judging whether there is an artifact according to the reconstructed image, if there is, adding a compensation angle to the angle superposition simulation curve of the first projection data, if not, the rotation accuracy of the gantry meets the requirements, and the adjustment process is completed; S4: performing parallel arrangement on the first projection data after compensation by using a linear interpolation algorithm to obtain third projection data, and reconstructing the film body based on the third projection data to obtain a second reconstructed image; S5: judging whether there is an artifact according to the second reconstructed image, if there is, adjusting the parameters of the simulation curve, adding a compensation angle to the angle superposition simulation curve of the collected first projection data, and returning to step S4; if not, recording the gantry angle and / or the compensation angle; S6: adjusting the counterweight again according to the gantry angle and the compensation angle, and returning to step S2.

2. The conditioning method of claim 1, wherein: In step S1, the method further comprises the following steps: S11: determining the imbalance position interval of the gantry according to the average value of the time intervals of a plurality of detection signals and the detection signal corresponding to the minimum value, and adjusting the gantry counterweight; S12: setting a threshold value of the time interval, judging whether the difference between the maximum value and the minimum value in the average value of a plurality of time intervals is less than the threshold value, and recording the gantry angle corresponding to the minimum value if it is less than the threshold value.

3. The conditioning method of claim 1, wherein: In step S2, the method further comprises the following steps: S21: establishing a film body and performing spiral scanning to collect the projection of the detector to obtain a plurality of first projection data; S22: rearranging a plurality of the first projection data by using a 180° linear interpolation algorithm to obtain a plurality of second projection data in parallel projection.

4. The conditioning method of claim 1, wherein: The simulation curve is superimposed on the rotation speed function of the gantry, and the simulation curve is a sine curve.

5. The conditioning method of claim 1, wherein: The compensation angle is less than the angle difference between adjacent detection signals.

6. The conditioning method of claim 1, wherein: The compensation angle is adjusted until the artifact disappears, and the compensation angle at this time is recorded, and the imbalance position of the gantry is the sum of the gantry angle and the compensation angle.

7. The conditioning method of claim 1, wherein: In step S6, the method further comprises the following steps: S61: performing spiral scanning on the film body to obtain a third reconstructed image; S62: comparing the first reconstructed image and the third reconstructed image to confirm the gantry rotation detection result.

8. A control system characterized by, The control system is suitable for the adjustment method in any one of claims 1-7, and comprises: a collection module for collecting circumferential direction detection signals when the gantry rotates, and collecting first projection data when the film body rotates and scans; a calculation module for calculating the parameters of the simulation curve superimposed on the rotation speed of the gantry to determine the compensation angle; an identification module for identifying the first reconstructed image, the second reconstructed image and the third reconstructed image to judge whether there is an artifact; A control module controls the frame to rotate and establish a corresponding film body.

9. A computer-readable storage medium, characterized in that, It stores a computer program for adjusting the method, wherein the computer program enables the computer to execute the adjusting method according to any one of claims 1-7.

10. An electronic device, comprising: Comprise: One or more processors; Memory; And One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the programs comprise programs for executing the adjusting method according to any one of claims 1-7.

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