Spect bone scan image restoration method, electronic device, and storage medium

Abstract

The present application relates to the technical field of medical image processing, and specifically provides an SPECT bone scan image restoration method, an electronic device, and a storage medium. The method comprises the steps of: S1, performing bone segmentation on an SPECT bone scan image to obtain a plurality of bone regions; S2, segmenting the SPECT bone scan image in each bone region into a first foreground and a first background, and then acquiring first foreground feature value information on the basis of the first foreground; S3, on the basis of the first foreground feature value information and a preset feature value of the corresponding bone region, analyzing whether there is an artifact in the bone region; and S4, when there is an artifact in the bone region, acquiring a supplementary scan image, and restoring the SPECT bone scan image on the basis of the supplementary scan image. The method can effectively improve the imaging quality of the SPECT bone scan image and the diagnosis accuracy of bone metastasis cancer.

Description

SPECT bone scan image restoration methods, electronic devices and storage media Technical Field

[0001] This application relates to the field of medical image processing technology, and more specifically, to a method for repairing SPECT bone scan images, an electronic device, and a storage medium. Background Technology

[0002] SPECT (Single Photon Emission Computed Tomography) is a commonly used imaging technique for diagnosing bone metastases. This technique acquires SPECT bone scan images by scanning the patient with a SPECT device. During the scan, improper operation, patient movement, or urine spillage can lead to artifacts in the final SPECT bone scan images. These artifacts can affect the image quality and diagnostic accuracy of the SPECT bone scan, thus reducing the accuracy of the diagnosis.

[0003] There is currently no effective technical solution to the above problems. Summary of the Invention

[0004] The purpose of this application is to provide a SPECT bone scan image restoration method, electronic device, and storage medium, which can effectively improve the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastases.

[0005] In a first aspect, this application provides a method for repairing SPECT bone scan images, which includes the following steps:

[0006] S1. Perform bone segmentation on the SPECT bone scan image to obtain multiple bone regions;

[0007] S2. Segment the SPECT bone scan images of each bone region into a first foreground and a first background, and then obtain the first foreground feature value information based on the first foreground.

[0008] S3. Analyze whether there are artifacts in the bone region based on the first foreground feature value information and the preset feature value of the corresponding bone region;

[0009] S4. When artifacts exist in the skeletal region, acquire supplementary scan images and repair the SPECT bone scan images based on the supplementary scan images.

[0010] This application provides a method for repairing SPECT bone scan images, which can automatically analyze whether there are artifacts in the bone region based on the SPECT bone scan image, and repair the SPECT bone scan image by using supplementary scan images when artifacts are present in the bone region. That is, this application can eliminate artifacts in the bone region. Therefore, this application can effectively improve the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastasis cancer.

[0011] Optionally, the first foreground feature value information includes the sum of actual pixel values ​​and the actual maximum pixel value, and the preset feature value includes the sum of preset pixel values ​​and the preset maximum pixel value. Step S3 includes:

[0012] S31. If the actual maximum pixel value is greater than the preset maximum pixel value and / or the sum of the actual pixel values ​​is greater than the preset sum of pixel values, then artifacts are considered to exist in the skeletal region.

[0013] S32. If the actual maximum pixel value is less than or equal to the preset maximum pixel value and the sum of the actual pixel values ​​is less than or equal to the sum of the preset pixel values, then it is considered that there are no artifacts in the skeletal region.

[0014] Optionally, the SPECT bone scan image restoration method further includes steps performed after step S1 and before step S3:

[0015] S5. Obtain the preset feature values ​​of each bone region based on the type of bone region and the preset transformation relationship.

[0016] Optionally, step S4 includes:

[0017] S41. When artifacts exist within a skeletal region, acquire a supplementary scan image of the skeletal region to which the artifacts belong.

[0018] S42. Align the bone regions in the supplementary scan image with the corresponding bone regions in the SPECT bone scan image;

[0019] S43. Replace the SPECT bone scan image within the artifact with a supplementary scan image.

[0020] Optionally, step S4 may further include steps performed between steps S41 and S42:

[0021] S44. Segment the supplementary scan image into a second foreground and a second background, and then obtain the feature information of the second foreground;

[0022] S45. Analyze whether there are artifacts in the supplementary scan image based on the second foreground feature information and preset feature values. If not, proceed to step S42.

[0023] Since this technique only performs image alignment and image replacement when no artifacts are found in the supplementary scan image, it can effectively avoid situations where artifacts in the bone region of the SPECT bone scan image cannot be repaired by image alignment and image replacement due to the presence of artifacts in the supplementary scan image.

[0024] Optionally, step S4 includes:

[0025] S41' When artifacts are present in the skeletal region, generate a prompt message, and then obtain a supplementary scan image of the artifact region in the skeletal region determined manually based on the prompt message;

[0026] S42' After manually aligning the supplementary scan image with the corresponding artifact region in the SPECT bone scan image, the SPECT bone scan image within the artifact region is replaced with the supplementary scan image.

[0027] Optionally, the patient is in a standard position when acquiring SPECT bone scan images and supplementary scan images.

[0028] Since the patient in this technical solution adopts a standard body position when acquiring SPECT bone scan images and supplementary scan images, this technical solution can effectively avoid the situation where the supplementary scan image cannot correspond to the SPECT bone scan image where the artifact is located due to the inconsistency of the patient's body position when acquiring SPECT bone scan images and supplementary scan images, making it difficult to repair artifacts in the bone area based on the supplementary scan image.

[0029] Optionally, step S2 includes:

[0030] S21. Obtain the minimum bounding rectangle of the skeletal region;

[0031] S22. The minimum bounding rectangle is segmented based on the OTSU segmentation algorithm to divide the SPECT bone scan image within the skeletal region into a first foreground and a first background.

[0032] S23. Obtain the feature value information of the first foreground based on the first foreground.

[0033] Secondly, this application provides an electronic device including a processor and a memory, the memory storing computer-readable instructions, which, when executed by the processor, perform the steps of the method provided in the first aspect above.

[0034] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the method provided in the first aspect above.

[0035] As can be seen from the above, the SPECT bone scan image repair method, electronic device and storage medium provided in this application can automatically analyze whether there are artifacts in the bone region based on the SPECT bone scan image, and repair the SPECT bone scan image by using supplementary scan images when artifacts exist in the bone region. That is, this application can eliminate artifacts in the bone region. Therefore, this application can effectively improve the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastasis cancer. Attached Figure Description

[0036] Figure 1 is a flowchart of a SPECT bone scan image repair method provided in an embodiment of this application.

[0037] Figure 2 is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0038] Reference numerals: 101, processor; 102, memory; 103, communication bus. Detailed Implementation

[0039] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0040] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0041] In a first aspect, as shown in Figure 1, this application provides a method for repairing SPECT bone scan images, which includes the following steps:

[0042] S1. Perform bone segmentation on the SPECT bone scan image to obtain multiple bone regions;

[0043] S2. Segment the SPECT bone scan images of each bone region into a first foreground and a first background, and then obtain the first foreground feature value information based on the first foreground.

[0044] S3. Analyze whether there are artifacts in the bone region based on the first foreground feature value information and the preset feature value of the corresponding bone region;

[0045] S4. When artifacts exist in the skeletal region, acquire supplementary scan images and repair the SPECT bone scan images based on the supplementary scan images.

[0046] The SPECT bone scan image in step S1 is preferably an image obtained after scanning the patient using a SPECT device. Step S1 can use a pre-trained bone segmentation model to segment the bone scan image, and the architecture of the bone segmentation model is preferably nnUNet.

[0047] Step S2 can utilize existing image segmentation algorithms or models to segment the SPECT bone scan image within the bone region into a first foreground and a first background. After segmenting the SPECT bone scan image within the bone region, artifacts can be unified with the bone region as the first foreground. In other words, this embodiment is equivalent to fusing artifacts with the bone region by segmenting the SPECT bone scan image. After completing the segmentation of the first and second foregrounds, step S2 can obtain the first foreground feature value information through data statistics. This first foreground feature value information is the feature value of the first foreground, and each bone region corresponds to one first foreground feature value. It should be understood that since the SPECT bone scan image in this embodiment is used for the diagnosis of bone metastases, and bone metastases grow on bone, only artifacts located within the bone region will affect the diagnosis of bone metastases. Therefore, this embodiment only needs to focus on whether artifacts exist within the bone region. Step S2 only needs to segment the SPECT bone scan image within the bone region, without segmenting the SPECT bone scan image outside the bone region.

[0048] The preset feature value in step S3 is equivalent to the ideal feature value of the first foreground corresponding to the skeletal region. Since the feature value of an artifact is greater than that of a non-artifact, and step S2 can unify the artifact and the skeletal region as the first foreground and obtain the feature value of the first foreground, that is, when an artifact exists in the skeletal region, the artifact will cause the first foreground feature value information corresponding to the skeletal region to increase. Therefore, if an artifact exists in the skeletal region, the first foreground feature value information corresponding to the skeletal region will be greater than the preset feature value. If no artifact exists in the skeletal region, the first foreground feature value information corresponding to the skeletal region will be less than or equal to the preset feature value. That is, step S3 can analyze whether an artifact exists in the skeletal region by analyzing whether the first foreground feature value information is greater than or equal to the preset feature value. Because different bone regions typically appear in different colors in SPECT bone scan images (e.g., the bone region corresponding to the lower leg is dark green, while the bone region corresponding to the ribs is gray or red), the sum and maximum pixel values ​​of different bone regions differ. This means that even if no artifacts exist in any bone region, the first foreground feature value information corresponding to different bone regions will be different. Since this embodiment analyzes the presence of artifacts within a bone region based on the first foreground feature value information and the preset feature value of the corresponding bone region, it is equivalent to using a judgment standard corresponding to the bone region to analyze whether artifacts exist. This effectively avoids situations where bone regions with artifacts are misjudged as not having artifacts, or where misjudged artifacts are not repaired, due to using the same judgment standard for artifact analysis. This effectively improves the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastases. It should be understood that the coverage area of ​​the artifact in this embodiment is less than or equal to the coverage area of ​​the bone region to which the artifact belongs.

[0049] When artifacts are detected within the bone region, step S4 can acquire supplementary scan images by performing a supplementary scan of the patient using a SPECT device. Since improper operation, patient movement, and urine spillage can be avoided during the acquisition of supplementary scan images, step S4 can obtain supplementary scan images free of artifacts. Therefore, step S4 can repair the SPECT bone scan image based on the supplementary scan image; that is, the supplementary scan image in step S4 is equivalent to the reference image used when repairing the SPECT bone scan image. It should be understood that if no artifacts are detected within the bone region, this application does not require repair of the SPECT bone scan image; that is, the SPECT bone scan image repair method provided by this application ends when no artifacts are detected within the bone region.

[0050] This application provides a method for repairing SPECT bone scan images, which can automatically analyze whether there are artifacts in the bone region based on the SPECT bone scan image, and repair the SPECT bone scan image by using supplementary scan images when artifacts are present in the bone region. That is, this application can eliminate artifacts in the bone region. Therefore, this application can effectively improve the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastasis cancer.

[0051] In some preferred embodiments, the first foreground feature value information includes the sum of actual pixel values ​​and the actual maximum pixel value, the preset feature value includes the sum of preset pixel values ​​and the preset maximum pixel value, and step S3 includes:

[0052] S31. If the actual maximum pixel value is greater than the preset maximum pixel value and / or the sum of the actual pixel values ​​is greater than the preset sum of pixel values, then artifacts are considered to exist in the skeletal region.

[0053] S32. If the actual maximum pixel value is less than or equal to the preset maximum pixel value and the sum of the actual pixel values ​​is less than or equal to the sum of the preset pixel values, then it is considered that there are no artifacts in the skeletal region.

[0054] In this embodiment, the actual pixel value sum is the sum of all pixel values ​​within the first foreground corresponding to the skeletal region. The actual maximum pixel value in this embodiment is the maximum value among all pixel values ​​within the first foreground corresponding to the skeletal region. Since artifacts cause the pixel values ​​of pixels within the artifacts to increase, that is, when artifacts exist within the skeletal region, the sum of pixel values ​​within the first foreground where the artifacts are located will increase, and the pixel value of a certain pixel within the first foreground may be too large. Therefore, when the actual maximum pixel value is greater than the preset maximum pixel value and / or the actual pixel value sum is greater than the preset pixel value sum, this embodiment can be considered to have artifacts within the skeletal region. When the actual maximum pixel value is less than or equal to the preset maximum pixel value and the actual pixel value sum is less than or equal to the preset pixel value sum, this embodiment can be considered to have no artifacts within the skeletal region.

[0055] In some preferred embodiments, the SPECT bone scan image restoration method further includes a step performed after step S1 and before step S3:

[0056] S5. Obtain the preset feature values ​​of each bone region based on the type of bone region and the preset transformation relationship.

[0057] The preset conversion relationship in this embodiment is a mapping relationship table between bone region type and feature value. This embodiment can extract the corresponding preset feature value from the preset conversion relationship according to the type of bone region by data extraction.

[0058] In some preferred embodiments, step S4 includes:

[0059] S41. When artifacts exist within a skeletal region, acquire a supplementary scan image of the skeletal region to which the artifacts belong.

[0060] S42. Align the bone regions in the supplementary scan image with the corresponding bone regions in the SPECT bone scan image;

[0061] S43. Replace the SPECT bone scan image within the artifact with a supplementary scan image.

[0062] Step S41 can obtain a supplementary scan image of the region containing the artifact by using a SPECT scanner to perform supplementary scanning only on the area of ​​the patient's body corresponding to the artifact. Step S41 can also obtain a supplementary scan image of the region containing the artifact by using a SPECT scanner to perform supplementary scanning on the bone region to which the artifact belongs. Step S42 can align the region corresponding to the artifact in the supplementary scan image with the corresponding artifact in the SPECT bone scan image by manually adjusting the image size, manually shifting, and using human visual perception. Step S42 can also align the region corresponding to the artifact in the supplementary scan image with the corresponding artifact in the SPECT bone scan image using existing image registration techniques. Step S43 can replace the SPECT bone scan image within the artifact with the supplementary scan image using existing image fusion or image stitching algorithms.

[0063] In some preferred embodiments, step S4 includes:

[0064] S41' When artifacts are present in the skeletal region, generate a prompt message, and then obtain a supplementary scan image of the artifact region in the skeletal region determined manually based on the prompt message;

[0065] S42' After manually aligning the supplementary scan image with the corresponding artifact region in the SPECT bone scan image, the SPECT bone scan image within the artifact region is replaced with the supplementary scan image.

[0066] The prompt message in step S41' is used to alert medical staff to the presence of artifacts within the skeletal region. Upon receiving the prompt message, medical staff first manually identify the artifact region within the skeletal region based on the SPECT bone scan image. This artifact region is the area where the artifact is located within the skeletal region. Then, the SPECT scanner is used to perform supplementary scanning on the area corresponding to the artifact region in the patient's body to obtain a supplementary scan image of the area where the artifact region is located. It should be understood that since this embodiment only performs supplementary scanning on the area corresponding to the artifact region, while the above embodiments perform supplementary scanning on the skeletal region to which the artifact belongs, the coverage area of ​​the supplementary scan image in this embodiment is smaller than the coverage area of ​​the supplementary scan image in the above embodiments. The preferred procedure for replacing the SPECT bone scan image within the artifact region with the supplementary scan image in step S42' is similar to that in step S43. Preferably, step S42' involves replacing the SPECT bone scan image within the artifact region with the supplementary scan image as follows: Based on an adaptive fusion algorithm, the artifact region is replaced with the supplementary scan image through image mean normalization, so that the average brightness value of the supplementary scan image is the same as the average brightness value of the non-artifact region within the corresponding bone region in the SPECT bone scan image. Since this embodiment can make the average brightness value of the supplementary scan image the same as the average brightness value of the non-artifact region within the corresponding bone region in the SPECT bone scan image, this embodiment is equivalent to making the brightness of the bone region consistent with the brightness of the non-artifact region after image replacement. Therefore, this embodiment can effectively avoid the situation where the brightness of the area where the artifact is located is inconsistent with the brightness of the non-artifact region after image replacement, resulting in inconsistent subjective vision.

[0067] In some preferred embodiments, step S4 further includes steps performed between steps S41 and S42:

[0068] S44. Segment the supplementary scan image into a second foreground and a second background, and then obtain the feature information of the second foreground;

[0069] S45. Analyze whether there are artifacts in the supplementary scan image based on the second foreground feature information and preset feature values. If not, proceed to step S42.

[0070] Since this embodiment only performs image alignment and image replacement when it is determined that there are no artifacts in the supplementary scan image, it can effectively avoid the situation where artifacts in the bone region of the SPECT bone scan image cannot be repaired by image alignment and image replacement due to the presence of artifacts in the supplementary scan image (i.e., artifacts still exist in the bone region of the SPECT bone scan image after repair).

[0071] In some preferred embodiments, the patient adopts a standard position when acquiring both the SPECT bone scan image and the supplementary scan image. Specifically, the standard position in this embodiment is: the patient lies supine with both hands placed flat at their sides and the toes pointing inwards. Because this embodiment uses a standard position for both the SPECT bone scan image and the supplementary scan image, it effectively avoids situations where inconsistent patient positions during acquisition lead to a mismatch between the supplementary scan image and the SPECT bone scan image containing artifacts, making it difficult to repair artifacts in the bone region based on the supplementary scan image.

[0072] In some preferred embodiments, step S2 includes:

[0073] S21. Obtain the minimum bounding rectangle of the skeletal region;

[0074] S22. The minimum bounding rectangle is segmented based on the OTSU segmentation algorithm to divide the SPECT bone scan image within the skeletal region into a first foreground and a first background.

[0075] S23. Obtain the feature value information of the first foreground based on the first foreground.

[0076] Step S21 can utilize existing minimum bounding rectangle generation methods to obtain the minimum bounding rectangle of the skeletal region. Step S22 uses the OTSU segmentation algorithm (also known as the maximum inter-class variance method), which is an existing technology. This OTSU algorithm can adaptively select a threshold and divide the image into foreground and background parts based on the threshold.

[0077] As can be seen from the above, the SPECT bone scan image repair method provided in this application can automatically analyze whether there are artifacts in the bone region based on the SPECT bone scan image, and repair the SPECT bone scan image by using supplementary scan images when artifacts exist in the bone region. That is, this application can eliminate artifacts in the bone region. Therefore, this application can effectively improve the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastasis cancer.

[0078] Please refer to Figure 2, which is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. This application provides an electronic device including: a processor 101 and a memory 102. The processor 101 and the memory 102 are interconnected and communicate with each other through a communication bus 103 and / or other forms of connection mechanism (not shown). The memory 102 stores computer-readable instructions executable by the processor 101. When the electronic device is running, the processor 101 executes the computer-readable instructions to execute the method in any optional implementation of the above embodiments to achieve the following functions: Step S1: Perform bone segmentation on the SPECT bone scan image to obtain multiple bone regions; Step S2: Segment the SPECT bone scan image in each bone region into a first foreground and a first background, and then obtain the first foreground feature value information based on the first foreground; Step S3: Analyze whether there are artifacts in the bone region based on the first foreground feature value information and the preset feature value of the corresponding bone region; Step S4: When there are artifacts in the bone region, obtain a supplementary scan image and repair the SPECT bone scan image based on the supplementary scan image.

[0079] This application embodiment also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it performs the method in any optional implementation of the above embodiments to achieve the following functions: Step S1, performing bone segmentation on the SPECT bone scan image to obtain multiple bone regions; Step S2, segmenting the SPECT bone scan image in each bone region into a first foreground and a first background, and then obtaining first foreground feature value information based on the first foreground; Step S3, analyzing whether there are artifacts in the bone region based on the first foreground feature value information and the preset feature value of the corresponding bone region; Step S4, when there are artifacts in the bone region, obtaining a supplementary scan image, and repairing the SPECT bone scan image based on the supplementary scan image. The computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device 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 Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0080] As can be seen from the above, the SPECT bone scan image repair method, electronic device and storage medium provided in this application can automatically analyze whether there are artifacts in the bone region based on the SPECT bone scan image, and repair the SPECT bone scan image by using supplementary scan images when artifacts exist in the bone region. That is, this application can eliminate artifacts in the bone region. Therefore, this application can effectively improve the imaging quality of SPECT bone scan images and the diagnostic accuracy of bone metastasis cancer.

[0081] In the embodiments provided in this application, it should be understood that relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0082] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for repairing SPECT bone scan images, characterized in that, The SPECT bone scan image restoration method includes the following steps: S1. Perform bone segmentation on the SPECT bone scan image to obtain multiple bone regions; S2. Segment the SPECT bone scan images of each of the bone regions into a first foreground and a first background, and then obtain the first foreground feature value information based on the first foreground. S3. Analyze whether there are artifacts in the bone region based on the first foreground feature value information and the preset feature value of the corresponding bone region; S4. When the artifact exists in the bone region, acquire a supplementary scan image and repair the SPECT bone scan image based on the supplementary scan image.

2. The SPECT bone scan image restoration method according to claim 1, characterized in that, The first foreground feature value information includes the sum of actual pixel values ​​and the actual maximum pixel value. The preset feature value includes the sum of preset pixel values ​​and the preset maximum pixel value. Step S3 includes: S31. If the actual maximum pixel value is greater than the preset maximum pixel value and / or the sum of the actual pixel values ​​is greater than the preset sum of pixel values, then it is considered that there is an artifact in the skeletal region. S32. If the actual maximum pixel value is less than or equal to the preset maximum pixel value and the sum of the actual pixel values ​​is less than or equal to the preset sum of pixel values, then it is considered that there is no artifact in the skeletal region.

3. The SPECT bone scan image restoration method according to claim 1, characterized in that, The SPECT bone scan image restoration method further includes steps performed after step S1 and before step S3: S5. Obtain the preset feature values ​​of each of the bone regions according to the type of the bone region and the preset conversion relationship.

4. The SPECT bone scan image restoration method according to claim 1, characterized in that, Step S4 includes: S41. When the artifact exists in the bone region, obtain a supplementary scan image of the bone region to which the artifact belongs; S42. Align the bone region in the supplementary scan image with the corresponding bone region in the SPECT bone scan image; S43. Replace the SPECT bone scan image in the bone region with the supplementary scan image.

5. The SPECT bone scan image restoration method according to claim 4, characterized in that, Step S4 also includes steps performed between steps S41 and S42: S44. Segment the supplementary scan image into a second foreground and a second background, and then obtain the feature information of the second foreground; S45. Analyze whether there are artifacts in the supplementary scan image based on the second foreground feature information and preset feature values. If not, proceed to step S42.

6. The SPECT bone scan image restoration method according to claim 1, characterized in that, Step S4 includes: S41' When the artifact exists in the bone region, generate a prompt message, and then obtain a supplementary scan image of the artifact region in the bone region determined manually based on the prompt message; S42' After manually aligning the supplementary scan image with the corresponding artifact region in the SPECT bone scan image, the SPECT bone scan image within the artifact region is replaced with the supplementary scan image.

7. The SPECT bone scan image restoration method according to claim 1, characterized in that, The patient was in a standard position when acquiring the SPECT bone scan images and the supplementary scan images.

8. The SPECT bone scan image restoration method according to claim 1, characterized in that, Step S2 includes: S21. Obtain the minimum bounding rectangle of the skeletal region; S22. The minimum bounding rectangle is segmented based on the OTSU segmentation algorithm to divide the SPECT bone scan image within the skeletal region into a first foreground and a first background. S23. Obtain first foreground feature value information based on the first foreground.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing computer-readable instructions that, when executed by the processor, perform the steps of the method as described in any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it performs the steps of the method as described in any one of claims 1-8.

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