Data acquisition and processing method and system applied to bone injury assessment, server and storage medium

Abstract

The invention provides a data acquisition and processing method and system applied to bone injury assessment, a server and a storage medium, and the method comprises the steps: carrying out the similarity degree matching of a first encryption vector and a preset bone injury type encryption vector set, determining a bone injury part corresponding to the bone injury area according to the bone injury type encryption vector matched with the first encryption vector; the first encryption vector and a bone injury part encryption vector set corresponding to the bone injury part are subjected to similarity degree matching, second data reflecting the bone injury condition are determined according to the bone injury part encryption vector with the low similarity degree with the first encryption vector, and the second data belong to the first data; and identifying whether the second data contains a low-signal shadow region or not, and determining a pre-evaluation condition of the bone injury region. The method has the advantages that the privacy of the patient can be protected, meanwhile, the magnetic resonance image which can reflect the true situation of bone injury can be screened out, the pre-evaluation situation is generated, and the method has the promotable value.

Description

Technical Field

[0001] The present invention belongs to the technical field of digital signal processing, and in particular relates to a data acquisition and processing method, system, server and storage medium for bone injury assessment. Background Art

[0002] Medical imaging technology based on magnetic resonance imaging emerged in the 1970s and has since rapidly developed. Today, magnetic resonance imaging (MRI) has become one of the most advanced medical imaging tools, widely used in clinical practice and still undergoing continuous advancement.

[0003] Because the various tissues of the musculoskeletal system have different relaxation parameters and proton densities, MRI images have excellent natural contrast and can clearly display the anatomical morphology of bones, joints, and soft tissues. Furthermore, their cross-sectional images in various directions can reveal tissues and structures that cannot be displayed or poorly displayed on X-rays or even CT scans, such as articular cartilage, internal and external ligaments of the joint capsule, intervertebral discs, and bone marrow. However, the current display and interpretation of MRI images relies heavily on the physician's experience and expertise. After obtaining an MRI, it is difficult for patients to gain a clear understanding of their bone injuries directly from multiple MRI images. Physicians also need to switch back and forth between multiple MRI images to determine the patient's injury status. The hasty use of automated or computer-assisted methods to interpret MRI images can easily lead to the disclosure of patients' personal privacy information. Summary of the Invention

[0004] In view of this, the present invention aims to propose a data acquisition and processing method, system, server and storage medium for bone injury assessment, which can protect patient privacy while screening out magnetic resonance images that best reflect the actual situation of bone injury.

[0005] The first aspect of the present invention provides a data acquisition and processing method for bone injury assessment, comprising: collecting first data for a bone injury area and obtaining a first encrypted vector corresponding to the first data; matching the first encrypted vector with a preset bone injury type encryption vector set to determine the bone injury site corresponding to the bone injury area based on the bone injury type encryption vector matched with the first encrypted vector; matching the first encrypted vector with a bone injury site encryption vector set corresponding to the bone injury site to determine second data reflecting the bone injury situation based on the bone injury site encryption vector having a low degree of similarity with the first encrypted vector, the second data belonging to the first data; identifying whether the second data contains a low signal shadow area, and determining a preliminary assessment of the bone injury area based on the bone injury site and the distribution of the low signal shadow area.

[0006] In a possible implementation of the first aspect above, each bone injury type vector corresponds to a bone injury site; the first encrypted vector is matched with a preset set of bone injury type encryption vectors in terms of similarity, including: obtaining the cosine similarity between the first encrypted vector and the bone injury type encryption vector; and determining the bone injury type encryption vector whose cosine similarity falls within a first preset range as a bone injury type vector that matches the first encrypted vector.

[0007] In a possible implementation of the first aspect above, each bone injury site encryption vector corresponds to a healthy bone image of a standard magnetic resonance imaging area of ​​the bone injury site; the first encryption vector is matched with the bone injury site encryption vector set corresponding to the bone injury site to determine the degree of similarity, including: based on the first encryption vector, obtaining the bone injury site encryption vector corresponding to the standard magnetic resonance imaging area in the bone injury site encryption vector set; obtaining the cosine similarity between the first encryption vector and the bone injury site encryption vector; and determining the bone injury site encryption vector whose cosine similarity falls within a second preset range as a bone injury site encryption vector with a low degree of similarity to the first encryption vector.

[0008] In a possible implementation of the first aspect above, the first encryption vector includes a first vectorized encryption code corresponding to the magnetic resonance image and a second vectorized encryption code corresponding to the imaging bone area in the magnetic resonance image; obtaining the bone injury site encryption vector corresponding to the standard magnetic resonance imaging area in the bone injury site encryption vector set includes: performing similarity matching with the vector part corresponding to the imaging femoral area of ​​the healthy bone image of each bone injury site encryption vector in the bone injury site encryption vector set according to the second vectorized encryption code corresponding to the first encryption vector; and selecting the bone injury site encryption vector with the highest similarity as the bone injury site encryption vector corresponding to the standard magnetic resonance imaging area in the bone injury site encryption vector set.

[0009] In a possible implementation of the first aspect above, the first encryption vector is obtained by vectorized encryption encoding of the first data; the bone injury type encryption vector and / or the bone injury location encryption vector are obtained using the same vectorized encryption encoding method as the first encryption vector.

[0010] In a possible implementation of the first aspect above, the method further includes: in the process of obtaining a first encryption vector corresponding to the first data, introducing the timestamp information corresponding to the first encryption vector, and isolating and storing the timestamp information corresponding to the first encryption vector; when identifying whether the second data contains a low signal shadow area, isolating and verifying the timestamp information corresponding to the second data.

[0011] In a possible implementation of the first aspect above, determining a preliminary assessment of a bone injury area includes: judging whether tissue edema exists in the bone injury area based on the second data; if so, identifying whether the second data includes a low-signal shadow area through a first image recognition model based on the bone injury site and the second data; and generating a preliminary assessment based on the relative position distribution of the bone injury site and the low-signal shadow area when a low-signal shadow area exists in the second data; wherein the first image recognition model is associated with the bone injury site.

[0012] The second aspect of the present invention provides a data acquisition and processing system for bone injury assessment, which is applied to the data acquisition and processing method for bone injury assessment provided in the first aspect, and may specifically include: a vector encryption unit, used to collect first data for the bone injury area and obtain a first encrypted vector corresponding to the first data; a first matching unit, used to match the first encrypted vector with a preset bone injury type encryption vector set in terms of similarity, so as to determine the bone injury site corresponding to the bone injury area based on the bone injury type encryption vector matched with the first encryption vector; a second matching unit, used to match the first encrypted vector with a bone injury site encryption vector set corresponding to the bone injury site in terms of similarity, so as to determine second data reflecting the bone injury situation based on the bone injury site encryption vector having a low degree of similarity with the first encryption vector, the second data belonging to the first data; a pre-evaluation unit, used to identify whether the second data contains a low-signal shadow area, and determine the pre-evaluation situation of the bone injury area based on the bone injury site and the distribution of the low-signal shadow area.

[0013] The third aspect of the present invention provides a server comprising at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor to enable the at least one processor to execute a data acquisition and processing method for bone injury assessment.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a data acquisition and processing method for bone injury assessment.

[0015] Compared with the existing technology, the data acquisition and processing method and system for bone injury assessment of the present invention have the following beneficial effects: by performing similarity matching between vectorized encoding of magnetic resonance images and vectorized encoding of preset magnetic resonance bone imaging images, it is possible to accurately screen out the site and specific location of bone injury when the patient has bone injury and provide preliminary pre-assessment opinions for reference. It is possible to screen out magnetic resonance images that best reflect the actual situation of bone injury and generate pre-assessment opinions while protecting the privacy of the patient, and has promotional value. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which constitute part of the present invention, are provided to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are provided to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings: Figure 1 The figure is a flow chart of a data acquisition and processing method for bone injury assessment shown in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] To more clearly illustrate the technical solutions of the embodiments of this specification, the embodiments will be described in detail below with reference to the accompanying drawings. Obviously, the following descriptions are some examples or embodiments of this specification, and those skilled in the art can apply the technical solutions or methods disclosed in this specification to other scenarios based on these technical contents without inventive effort.

[0018] Figure 1 FIG. 1 is a flow chart of a data acquisition and processing method for bone injury assessment according to an embodiment of the present invention, which may specifically include: Step 101: Acquire first data for the bone injury region and obtain a first encrypted vector corresponding to the first data. In some embodiments, the first data may include a magnetic resonance image of the bone injury region, or may further include other bone injury examination data, etc., without limitation herein. In some embodiments, zero echo time magnetic resonance imaging (ZTE MRI) technology may be used to acquire the magnetic resonance image. It is understood that the T2 / T2 relaxation time (TE) of muscle, fat, and other soft tissues ranges from 30-200 ms, while the T2 / T2 relaxation time of cortical bone is approximately 0.4 ms. ZTE MRI technology can acquire signals immediately after radiofrequency excitation (TE ≈ 0.1 ms). By filling k-space radially outward from the center, it significantly shortens the echo time and can capture signals from extremely short T2 tissues (such as cortical bone, T2 ≈ 0.4 ms), enabling the assessment and detection of fractures in bone injuries. In some embodiments, the magnetic resonance image may include a zero echo time magnetic resonance imaging image. Those skilled in the art may also select other suitable magnetic resonance technologies according to actual needs, such as fast spin echo sequence (Fast Spin Echo, FSE) magnetic resonance imaging technology, etc., which is not limited here.

[0019] In some embodiments, the first encryption vector can be obtained by vectorized encryption encoding of first data including a magnetic resonance image. The first encryption vector obtained by vectorized encryption encoding has higher security than the encryption vector obtained by traditional encryption algorithms such as the AES algorithm, and can achieve fast and efficient vectorized encoding of high-definition magnetic resonance images through the Transformer architecture.

[0020] Step 102: matching the first encrypted vector with a preset bone injury type encrypted vector set based on similarity, so as to determine a bone injury site corresponding to the bone injury region according to the bone injury type encrypted vector that matches the first encrypted vector.

[0021] In some embodiments, each bone injury type vector may correspond to a bone injury site, such as the pelvis or humerus, without limitation. By matching the first encrypted vector with a preset set of bone injury type encrypted vectors, the bone injury site corresponding to the first encrypted vector can be determined. In some embodiments, cosine similarity can be used as the similarity matching criterion. Cosine similarity is a metric used to measure the similarity between two vectors. The similarity between the two vectors is determined by calculating the cosine value of the angle between the two vectors. The cosine similarity value ranges from -1 to 1. Specifically, the method may include: obtaining the cosine similarity between the first encrypted vector and the bone injury type encrypted vector; and determining the bone injury type encrypted vectors whose cosine similarity falls within a first preset range as the bone injury type vector that matches the first encrypted vector. The first preset range may be a range within which the cosine similarity exceeds a first preset threshold. Based on the above step 102, the bone injury site corresponding to the bone injury region can be located based on the encrypted magnetic resonance image, thereby determining the specific human body site where the bone injury occurred, such as the pelvis or humerus, without limitation. In some embodiments, the bone injury site may also be determined during the process of acquiring magnetic resonance images, which is not limited here.

[0022] Step 103: The first encrypted vector is matched against a set of bone lesion site encrypted vectors corresponding to the bone lesion site for similarity, thereby determining second data reflecting the bone lesion condition based on the bone lesion site encrypted vectors having a lower degree of similarity to the first encrypted vector. The second data is part of the first data. In some embodiments, if the first data includes a magnetic resonance image of the bone lesion region, the second data may be one or more magnetic resonance images of the bone lesion region that best reflect the bone lesion condition.

[0023] In some embodiments, each bone injury region corresponds to a bone injury site encryption vector set; within the bone injury site encryption vector set, each bone injury site encryption vector corresponds to a healthy bone image of a standard magnetic resonance imaging region of the bone injury site. In a specific implementation of step 103, based on the first encryption vector, a bone injury site encryption vector corresponding to the standard magnetic resonance imaging region in the bone injury site encryption vector set can be obtained; then, the cosine similarity between the first encryption vector and the bone injury site encryption vector can be obtained; finally, the bone injury site encryption vectors whose cosine similarity falls within a second preset range are determined to be bone injury site encryption vectors with a low degree of similarity to the first encryption vector, wherein the second preset threshold can be a range within which the cosine similarity is less than the second preset threshold. It is understood that the lower the degree of similarity between the first encryption vector and the corresponding healthy bone image, the more significant the difference in bone injury condition reflected by the magnetic resonance image corresponding to the first encryption vector compared to the healthy bone condition, and the target magnetic resonance image can be screened and located accordingly.

[0024] In a specific implementation of step 103, the first encryption vector includes a first vectorized encryption code corresponding to the magnetic resonance image and a second vectorized encryption code corresponding to the imaging bone region in the magnetic resonance image, wherein the second vectorized encryption code can be a secondary encryption code formed based on the bone shape in the magnetic resonance image after feature extraction of the bone image in the magnetic resonance image. On this basis, obtaining the bone injury site encryption vector corresponding to the standard magnetic resonance imaging region in the bone injury site encryption vector set specifically includes the following steps: first, based on the second vectorized encryption code corresponding to the first encryption vector, similarity matching is performed with the vector portion corresponding to the imaging femoral region of the healthy bone image of each bone injury site encryption vector in the bone injury site encryption vector set; and then selecting the bone injury site encryption vector with the highest similarity as the bone injury site encryption vector corresponding to the standard magnetic resonance imaging region in the bone injury site encryption vector set, which is not limited here.

[0025] Step 104: Identify whether the second data contains a low-signal shadow area, and determine a preliminary assessment of the bone damage area based on the bone damage site and the distribution of the low-signal shadow area.

[0026] In some embodiments, the above-mentioned step 104 may specifically include: based on the second data, determining whether there is tissue edema in the bone injury area; if so, based on the bone injury site and the target magnetic resonance image, identifying whether the target magnetic resonance image contains a low-signal shadow area through a first image recognition model; when a low-signal shadow area exists in the target magnetic resonance image, generating a preliminary assessment based on the relative position distribution of the bone injury site and the low-signal shadow area; wherein the first image recognition model is associated with the bone injury site.

[0027] It will be appreciated that in some embodiments, the second data may be one or more MRI images from multiple MRI images of the bone injury region that best reflect the bone injury. In MRI images of bone injuries, fracture lines typically appear as linear or zigzag low-signal areas, whether on T1-weighted imaging (T1WI) or T2-weighted imaging (T2WI). This is because after cortical bone fracture, the hydrogen proton content of bone tissue decreases, resulting in a weakened signal. Visually identifying low-signal areas often results in difficulty, missed identification, or misidentification. Therefore, a neural network model can be trained using a pre-annotated training set to obtain image recognition features summarized by the model, and these image recognition features are used as low-signal areas in MRI images. In some embodiments, the first image recognition model is obtained by training a preset neural network model based on a pre-annotated training set of images associated with the bone injury region. The pre-annotated training set may include multiple MRI images of bone injuries, in which the distribution of low-signal areas corresponding to fracture lines on the MRI images is annotated, along with areas of tissue edema caused by the fracture. In some embodiments, during the process of training and applying the first image recognition model, the low-signal shadow area can be further limited to be associated with the fracture line and distributed around the corresponding area of ​​tissue edema. This is because when a bone injury such as a fracture occurs, abnormal tissue edema often occurs near the fracture area. Therefore, when tissue edema exists in the magnetic resonance image of bone injury, whether there is a low-signal shadow area near the corresponding area of ​​tissue edema can be used to check and evaluate the fracture condition of the bone injury area.

[0028] In some embodiments, the first encryption vector includes a first vectorized encryption code corresponding to the magnetic resonance image and a second vectorized encryption code corresponding to the imaging bone area in the magnetic resonance image; obtaining the bone injury site encryption vector corresponding to the standard magnetic resonance imaging area in the bone injury site encryption vector set includes: matching the degree of similarity with the vector part corresponding to the imaging femoral area of ​​the healthy bone image of each bone injury site encryption vector in the bone injury site encryption vector set according to the second vectorized encryption code corresponding to the first encryption vector; and selecting the bone injury site encryption vector with the highest degree of similarity as the bone injury site encryption vector corresponding to the standard magnetic resonance imaging area in the bone injury site encryption vector set.

[0029] In some embodiments, when the first encryption vector is obtained by vectorized encryption encoding of the magnetic resonance image, the bone injury type encryption vector and / or the bone injury site encryption vector are obtained using the same vectorized encryption encoding method as the first encryption vector; when the first encryption vector is similar to the bone injury type encryption vector and / or the bone injury site encryption vector, it means that the magnetic resonance image corresponding to the first encryption vector has a bone injury type corresponding to the similar bone injury type encryption vector, and / or the magnetic resonance image corresponding to the first encryption vector has a bone injury site corresponding to the similar bone injury site encryption vector.

[0030] In some embodiments, the data acquisition and processing method provided by the present application may further include the following steps: in the process of obtaining the first encryption vector corresponding to the first data, introducing the timestamp information corresponding to the first encryption vector, and isolating and storing the timestamp information corresponding to the first encryption vector; when identifying whether the target magnetic resonance image contains a low-signal shadow area, isolating and verifying the timestamp information corresponding to the target magnetic resonance image. By introducing the timestamp information, it is possible to ensure that the magnetic resonance image is not tampered with or modified during the process of vectorized encoding encryption processing and vectorized encoding similarity matching, thereby ensuring the security of magnetic resonance image processing while ensuring user privacy; in addition, the added timestamp information can also be used as an index and classification label for the magnetic resonance image, facilitating the direct assignment and application of relevant timestamp label information in the magnetic resonance image management system.

[0031] Some embodiments of the present invention also provide a data acquisition and processing system for bone injury assessment, which is applied to the method provided in the aforementioned embodiment and may specifically include: a vector encryption unit for acquiring at least one magnetic resonance image of the bone injury area and obtaining a first encrypted vector corresponding to the magnetic resonance image; a first matching unit for matching the first encrypted vector with a preset bone injury type encryption vector set to determine the bone injury site corresponding to the bone injury area based on the bone injury type encryption vector matched with the first encrypted vector; a second matching unit for matching the first encrypted vector with a bone injury site encryption vector set corresponding to the bone injury site to determine at least one target magnetic resonance image reflecting the bone injury condition based on the bone injury site encryption vector with a low degree of similarity to the first encrypted vector; a pre-assessment unit for identifying whether the target magnetic resonance image contains a low signal shadow area based on the target magnetic resonance image, and determining the pre-assessment of the bone injury area based on the bone injury site and the distribution of the low signal shadow area. It is understandable that the various functional modules in the above-mentioned bone injury assessment system are implemented using the same process steps as the method provided in the aforementioned embodiment, and are not limited here.

[0032] Some embodiments of the present invention also provide a server comprising at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor to enable the at least one processor to perform a data acquisition and processing method for bone injury assessment.

[0033] Some embodiments of the present invention further provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a data acquisition and processing method for bone injury assessment.

[0034] To sum up, through the technical solution provided by the present invention, by vectorizing and encoding the first data including the magnetic resonance image and then performing similarity matching with the vectorized encoding of the preset magnetic resonance bone imaging image, it is possible to accurately screen out the site and specific location of the bone injury when the patient has bone injury and give preliminary pre-assessment opinions for reference. It is possible to screen out the magnetic resonance image that best reflects the actual situation of the bone injury while protecting the patient's privacy and generate a pre-assessment situation, which has promotional value.

[0035] The above content is a further detailed description of the present disclosure in conjunction with specific preferred embodiments, and the specific implementation of the present disclosure should not be considered to be limited to these descriptions. For those skilled in the art of the present disclosure, without departing from the concept of the present disclosure, several simple deductions or substitutions can be made, which should be considered to fall within the scope of protection of the present disclosure.

Claims

1. A data acquisition and processing method for bone injury assessment, characterized in that: include: Collecting first data for a bone injury area and obtaining a first encrypted vector corresponding to the first data; Matching the first encrypted vector with a preset bone injury type encrypted vector set to determine a bone injury location corresponding to the bone injury region based on the bone injury type encrypted vector matched with the first encrypted vector; performing similarity matching between the first encrypted vector and a set of bone injury site encrypted vectors corresponding to the bone injury site, so as to determine second data reflecting the bone injury condition based on the bone injury site encrypted vectors having a low degree of similarity to the first encrypted vector, where the second data belongs to the first data; Identify whether the second data includes a low-signal shadow area, and determine a preliminary assessment of the bone damage area based on the bone damage site and the distribution of the low-signal shadow area.

2. The method according to claim 1, characterized in that Each bone injury type vector corresponds to a bone injury site; The matching of the first encrypted vector with a preset bone injury type encrypted vector set by similarity includes: Obtaining a cosine similarity between the first encrypted vector and the bone injury type encrypted vector; The bone injury type encrypted vector whose cosine similarity falls within a first preset range is determined as a bone injury type vector that matches the first encrypted vector.

3. The method according to claim 1, characterized in that Each of the bone injury site encrypted vectors corresponds to a healthy bone image of a standard magnetic resonance imaging region of the bone injury site; Performing similarity matching on the first encrypted vector and a set of bone injury site encrypted vectors corresponding to the bone injury site, comprising: Based on the first encrypted vector, obtaining the bone injury site encrypted vector corresponding to the standard magnetic resonance imaging area in the bone injury site encrypted vector set; Obtaining the cosine similarity between the first encrypted vector and the bone injury site encrypted vector; The bone injury site encrypted vector whose cosine similarity falls within a second preset range is determined as a bone injury site encrypted vector having a low similarity to the first encrypted vector.

4. The method according to claim 3, characterized in that The first encrypted vector includes a first vectorized encrypted code corresponding to the magnetic resonance image and a second vectorized encrypted code corresponding to the imaged bone region in the magnetic resonance image; The step of obtaining the bone injury site encrypted vector corresponding to the standard magnetic resonance imaging region in the bone injury site encrypted vector set includes: performing similarity matching on a second vectorized encrypted code corresponding to the first encrypted vector and a vector portion corresponding to the imaging thigh region of the healthy bone image of each bone injury site encrypted vector in the bone injury site encrypted vector set; The bone injury site encryption vector with the highest similarity is selected as the bone injury site encryption vector corresponding to the standard magnetic resonance imaging area in the bone injury site encryption vector set.

5. The method according to claim 1, wherein The first encryption vector is obtained by vectorized encryption encoding of the first data; The bone injury type encryption vector and / or the bone injury location encryption vector are obtained by using the same vectorized encryption encoding method as the first encryption vector.

6. The method according to claim 1, characterized in that The method further comprises: In the process of obtaining the first encryption vector corresponding to the first data, introducing the timestamp information corresponding to the first encryption vector, and storing the timestamp information corresponding to the first encryption vector in isolation; When identifying whether the second data includes a low-signal shadow area, an isolation check is performed on the timestamp information corresponding to the second data.

7. The method according to claim 1, characterized in that Determining the preliminary assessment of the bone injury area includes: Based on the second data, determining whether there is tissue edema in the bone injury area: if so, identifying whether the second data includes the low-signal shadow area using a first image recognition model based on the bone injury site and the second data; when the low-signal shadow area exists in the second data, generating the preliminary assessment based on the relative position distribution of the bone injury site and the low-signal shadow area; Wherein, the first image recognition model is associated with the bone injury site.

8. A data acquisition and processing system for bone injury assessment, applied to the data acquisition and processing method for bone injury assessment according to any one of claims 1 to 7, characterized in that: include: a vector encryption unit, configured to collect first data for a bone injury area and obtain a first encryption vector corresponding to the first data; a first matching unit, configured to perform similarity matching between the first encrypted vector and a preset bone injury type encrypted vector set, so as to determine a bone injury site corresponding to the bone injury region according to the bone injury type encrypted vector matched with the first encrypted vector; a second matching unit, configured to perform similarity matching between the first encrypted vector and a set of bone injury site encrypted vectors corresponding to the bone injury site, so as to determine second data reflecting the bone injury condition based on the bone injury site encrypted vectors having a low degree of similarity to the first encrypted vector, wherein the second data belongs to the first data; The pre-evaluation unit is configured to identify whether the second data includes a low-signal shadow area, and determine a pre-evaluation of the bone damage area based on the bone damage site and the distribution of the low-signal shadow area.

9. A server, characterized in that: The device comprises at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the data acquisition and processing method for bone injury assessment as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the data acquisition and processing method for bone injury assessment according to any one of claims 1 to 7 is implemented.

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