Fracture reduction guiding method and system

Abstract

The invention provides a method and system for guiding fracture reduction, and the method comprises the steps: obtaining dynamic ultrasonic data of a fracture region of a user according to a preset ultrasonic scanning strategy, and generating a three-dimensional structure diagram of the fracture region based on the ultrasonic scanning strategy and the dynamic ultrasonic data; on the basis of the three-dimensional structure diagram, recognizing fracture feature information of the fracture area through a feature recognition model, and on the basis of the fracture feature information of the fracture area, generating a reduction guiding strategy of the fracture area through a fracture reduction guiding model; and based on the reduction guiding strategy and the three-dimensional structure diagram, generating a reduction guiding diagram of the fracture area and a reduction guiding process of the fracture area, and taking the reduction guiding diagram of the fracture area and the reduction guiding process of the fracture area as fracture reduction guiding information of the user. By adopting the scheme, the fracture reduction guiding effect on a doctor can be improved.

Description

Technical Field

[0001] This invention relates to the fields of three-dimensional modeling and intelligent medical technology, and in particular to a method and system for guiding fracture reduction. Background Technology

[0002] Fracture reduction techniques involve manually or surgically realigning broken bones to their normal anatomical position to restore bone function and reduce complications. However, fracture reduction techniques rely not only on understanding the extent and nature of the fracture in the fracture area, but also on the medical skills and experience of the physicians. Furthermore, the effectiveness and precision of fracture reduction can vary among physicians with different levels of experience. Therefore, improving fracture reduction guidelines for physicians to enhance overall fracture reduction outcomes is a current research focus.

[0003] Traditional fracture reduction techniques rely on scanned images of the fracture site and the patient's actual visual condition to perform the reduction. This method is overly dependent on the experience and skills of the medical staff, often resulting in poor fracture reduction outcomes for less experienced or less skilled doctors, and may even cause secondary injury to the patient. Therefore, further research is needed to improve the effectiveness of doctors' guidance on fracture reduction. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and system for guiding fracture reduction, which addresses the shortcomings of the prior art.

[0005] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: a method for guiding fracture reduction, the method comprising:

[0006] According to the preset ultrasound scanning strategy, dynamic ultrasound data of the user's fracture area is acquired, and a three-dimensional structural map of the fracture area is generated based on the ultrasound scanning strategy and the dynamic ultrasound data.

[0007] Based on the three-dimensional structural diagram, the fracture feature information of the fracture area is identified through a feature recognition model, and a reduction guidance strategy for the fracture area is generated based on the fracture feature information of the fracture area through a fracture reduction guidance model.

[0008] Based on the reduction guidance strategy and the three-dimensional structural diagram, a reduction guidance diagram and a reduction guidance process for the fracture area are generated, and the reduction guidance diagram and the reduction guidance process for the fracture area are used as the fracture reduction guidance information for the user.

[0009] Optionally, acquiring dynamic ultrasound data of the user's fracture area according to a preset ultrasound scanning strategy includes:

[0010] Based on ultrasound scanning strategies, the scanning process for identifying the user's fracture area, as well as the scanning method for the fracture area, is determined.

[0011] Based on the scanning process of the fracture area, the scanning progression angle of the fracture area is identified, and based on the scanning method of the fracture area, the single scanning range of the fracture area is identified.

[0012] Based on the scanning progression angle of the fracture area and the single scanning range of the fracture area, the fracture area is subjected to ultrasound scanning processing to obtain single ultrasound data of the fracture area, and all single ultrasound data are used as the dynamic ultrasound data of the fracture area of ​​the user.

[0013] Optionally, generating a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data includes:

[0014] Based on each single ultrasound data, the single scan range of the fracture area, and the scanning progression angle of the fracture area, the fracture area range corresponding to each single ultrasound data is identified;

[0015] The individual ultrasound data are processed to obtain the fracture area structure data corresponding to each individual ultrasound data. Based on the fracture area range and the fracture area structure data corresponding to each individual ultrasound data, a three-dimensional structure map of the fracture area is constructed using a three-dimensional modeling strategy.

[0016] Optionally, the feature recognition model includes an edge recognition algorithm and an image feature extraction network. The step of identifying fracture feature information of the fracture region based on the three-dimensional structure map using the feature recognition model includes:

[0017] The edge recognition algorithm is used to identify the three-dimensional fracture range image in the three-dimensional structural map.

[0018] The image feature extraction network extracts image feature data from the three-dimensional fracture range image, and based on the image feature data, it adapts fracture feature data of each fracture feature type corresponding to each image feature data in the fracture feature atlas.

[0019] The fracture feature data of each fracture feature type are used as the fracture feature information of the fracture region.

[0020] Optionally, the step of generating a reduction guidance strategy for the fracture area based on the fracture feature information of the fracture area through a fracture reduction guidance model includes:

[0021] Based on the fracture characteristic data of each fracture characteristic type, the fracture type and fracture degree of the fracture area are identified through fracture status analysis strategy, and the fracture reduction scheme of the fracture area is screened based on the fracture type and fracture degree of the fracture area.

[0022] Based on the fracture feature data of each fracture feature type, the fracture reduction guidance model generates the reduction parameters of each process node of the fracture reduction process in the fracture area according to the fracture reduction scheme of the fracture area.

[0023] Based on the reset parameters of each process node, a reset guidance strategy for the fracture area is generated according to the process sequence of each process node.

[0024] Optionally, the step of generating a reduction guidance map of the fracture area and a reduction guidance process of the fracture area based on the reduction guidance strategy and the three-dimensional structural map includes:

[0025] Based on the reset parameters of each process node, and in accordance with the process sequence of each process node, the reset range and reset requirements corresponding to each process node are marked in the three-dimensional structure diagram.

[0026] Based on the service requirements corresponding to each process node, the reset path information of each process node is generated within the reset range corresponding to each process node through the reset path optimization model, and the reset path information of each process node is marked in the three-dimensional structure diagram to obtain the reset guidance diagram of the fracture area.

[0027] The reset path information corresponding to each process node is used to generate a reset guidance process for the fracture area through a text generation network, according to the process order of each process node.

[0028] Furthermore, to address the aforementioned technical problems, the present invention also provides a fracture reduction guidance system, the fracture reduction guidance system comprising:

[0029] The acquisition module is used to acquire dynamic ultrasound data of the user's fracture area according to a preset ultrasound scanning strategy, and generate a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data.

[0030] The generation module is used to identify fracture feature information of the fracture area based on the three-dimensional structural diagram through a feature recognition model, and generate a reduction guidance strategy for the fracture area based on the fracture feature information of the fracture area through a fracture reduction guidance model.

[0031] The determination module is used to generate a reduction guidance diagram and a reduction guidance process for the fracture area based on the reduction guidance strategy and the three-dimensional structural diagram, and to use the reduction guidance diagram and the reduction guidance process for the fracture area as the fracture reduction guidance information for the user.

[0032] Optionally, the acquisition module is specifically used for:

[0033] Based on ultrasound scanning strategies, the scanning process for identifying the user's fracture area, as well as the scanning method for the fracture area, is determined.

[0034] Based on the scanning process of the fracture area, the scanning progression angle of the fracture area is identified, and based on the scanning method of the fracture area, the single scanning range of the fracture area is identified.

[0035] Based on the scanning progression angle of the fracture area and the single scanning range of the fracture area, the fracture area is subjected to ultrasound scanning processing to obtain single ultrasound data of the fracture area, and all single ultrasound data are used as the dynamic ultrasound data of the fracture area of ​​the user.

[0036] Optionally, the acquisition module is specifically used for:

[0037] Based on each single ultrasound data, the single scan range of the fracture area, and the scanning progression angle of the fracture area, the fracture area range corresponding to each single ultrasound data is identified;

[0038] The individual ultrasound data are processed to obtain the fracture area structure data corresponding to each individual ultrasound data. Based on the fracture area range and the fracture area structure data corresponding to each individual ultrasound data, a three-dimensional structure map of the fracture area is constructed using a three-dimensional modeling strategy.

[0039] Optionally, the generation module is specifically used for:

[0040] The edge recognition algorithm is used to identify the three-dimensional fracture range image in the three-dimensional structural map.

[0041] The image feature extraction network extracts image feature data from the three-dimensional fracture range image, and based on the image feature data, it adapts fracture feature data of each fracture feature type corresponding to each image feature data in the fracture feature atlas.

[0042] The fracture feature data of each fracture feature type are used as the fracture feature information of the fracture region.

[0043] Optionally, the generation module is specifically used for:

[0044] Based on the fracture characteristic data of each fracture characteristic type, the fracture type and fracture degree of the fracture area are identified through fracture status analysis strategy, and the fracture reduction scheme of the fracture area is screened based on the fracture type and fracture degree of the fracture area.

[0045] Based on the fracture feature data of each fracture feature type, the fracture reduction guidance model generates the reduction parameters of each process node of the fracture reduction process in the fracture area according to the fracture reduction scheme of the fracture area.

[0046] Based on the reset parameters of each process node, a reset guidance strategy for the fracture area is generated according to the process sequence of each process node.

[0047] Optionally, the determining module is specifically used for:

[0048] Based on the reset parameters of each process node, and in accordance with the process sequence of each process node, the reset range and reset requirements corresponding to each process node are marked in the three-dimensional structure diagram.

[0049] Based on the service requirements corresponding to each process node, the reset path information of each process node is generated within the reset range corresponding to each process node through the reset path optimization model, and the reset path information of each process node is marked in the three-dimensional structure diagram to obtain the reset guidance diagram of the fracture area.

[0050] The reset path information corresponding to each process node is used to generate a reset guidance process for the fracture area through a text generation network, according to the process order of each process node.

[0051] Thirdly, this application provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described in any one of the first aspects.

[0052] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0053] Fifthly, this application provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0054] This invention provides a method and system for guiding fracture reduction. The method includes: acquiring dynamic ultrasound data of a user's fracture area according to a preset ultrasound scanning strategy, and generating a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data; identifying fracture feature information of the fracture area using a feature recognition model based on the three-dimensional structural map, and generating a reduction guidance strategy for the fracture area using a fracture reduction guidance model based on the fracture feature information; generating a reduction guidance map and a reduction guidance process for the fracture area based on the reduction guidance strategy and the three-dimensional structural map, and using the reduction guidance map and the reduction guidance process for the fracture area as the user's fracture reduction guidance information. The beneficial effects of this invention are as follows: By performing dynamic ultrasound scanning on the fracture area, comprehensive ultrasound data corresponding to different angles and postures of the fracture area can be obtained, thereby constructing a three-dimensional structural map of the fracture area. This three-dimensional structural map can comprehensively display the three-dimensional structure of the fracture area under different state conditions, thus effectively improving the comprehensiveness of fracture feature identification and addressing feature deviation problems caused by structural data errors. Then, based on the constructed three-dimensional structural map, this solution extracts fracture feature information and generates a reduction guidance strategy to generate a reduction guidance diagram and reduction guidance process. This provides reduction guidance to medical staff from both a visual and textual information guidance perspective, effectively reducing reduction abnormalities caused by insufficient experience of medical staff and providing them with more intuitive, accurate, and comprehensive reduction guidance information to the greatest extent possible, thereby improving the fracture reduction guidance effect for doctors. Attached Figure Description

[0055] To more clearly illustrate the solutions in this application, the accompanying drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0056] Figure 1 This is a flowchart of the fracture reduction guidance method provided in the embodiments of the present invention;

[0057] Figure 2 This is a schematic diagram of the fracture reduction guidance system provided in an embodiment of the present invention;

[0058] Figure 3 An internal structural diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0059] The fracture reduction guidance method provided in this invention is applied to a fracture reduction guidance system. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or accompanying drawings of this application are used to distinguish different objects, not to describe a specific order.

[0060] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0061] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0062] The fracture reduction guidance method provided in this application embodiment can be applied to fracture reduction guidance application environments. This method can be applied to a terminal, a server, or a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, etc. The terminal performs dynamic ultrasound scanning of the fracture area to comprehensively acquire ultrasound data corresponding to different angles, postures, and states of the fracture area, thereby constructing a three-dimensional structural map of the fracture area. This three-dimensional structural map comprehensively displays the three-dimensional structure of the fracture area under different state conditions, effectively improving the comprehensiveness of fracture feature recognition and mitigating feature deviations caused by structural data errors. Then, based on the constructed three-dimensional structural map, this solution extracts fracture feature information and generates a reduction guidance strategy, producing a reduction guidance diagram and a reduction guidance process. This provides reduction guidance to medical personnel from both a visual and textual perspective, effectively reducing reduction abnormalities caused by insufficient experience among medical personnel and providing them with more intuitive, accurate, and comprehensive reduction guidance information, thereby improving the effectiveness of fracture reduction guidance for doctors.

[0063] In one embodiment, such as Figure 1 As shown, a method for guiding fracture reduction is provided. Taking the application of this method to a terminal as an example, the method includes the following steps:

[0064] Step S101: According to the preset ultrasound scanning strategy, acquire dynamic ultrasound data of the user's fracture area, and generate a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data.

[0065] In this embodiment, the terminal controls the ultrasound scanning device to perform ultrasound scanning on the user's fracture area according to a preset ultrasound scanning strategy, obtaining dynamic ultrasound data of the fracture area. This preset ultrasound scanning strategy involves scanning the user's fracture area from different angles and in different postures. The specific scanning process will be described in detail later. Then, based on the ultrasound scanning strategy and the dynamic ultrasound data, the terminal generates a three-dimensional structural map of the fracture area. This three-dimensional structural map is a three-dimensional image obtained after modeling the three-dimensional structure of the user's fracture area. The dynamism in the dynamic ultrasound data is reflected in the fact that the scanning of the patient's fracture area is not performed at the same time from different angles or in different postures, but rather at different times from different angles or in different postures. This ensures that the obtained structural data of the fracture area is more comprehensive and is dynamic structural data; the generated three-dimensional structural map is a dynamic map (i.e., a structural map corresponding to different postures of the fracture area). The specific generation process will be described in detail later.

[0066] Step S102: Based on the three-dimensional structural map, the fracture feature information of the fracture area is identified through the feature recognition model, and based on the fracture feature information of the fracture area, the fracture reduction guidance strategy of the fracture area is generated through the fracture reduction guidance model.

[0067] In this embodiment, the terminal, based on a 3D structural map, identifies fracture feature information of the fracture area through a feature recognition model. Based on this fracture feature information, a fracture reduction guidance strategy is generated for the fracture area through a fracture reduction guidance model. The feature recognition model includes an edge detection algorithm and an image feature extraction network. The edge detection algorithm is an edge detection algorithm based on the Sobel operator. The image feature extraction network is a convolutional neural network based on deep learning. The fracture reduction guidance model is an AI repair model used to structurally reposition the bone portion in the 3D structural map. The reduction guidance strategy includes the reduction parameters for each process node of the fracture reduction procedure. The specific generation process will be described in detail later.

[0068] Step S103: Based on the reduction guidance strategy and the three-dimensional structural diagram, generate a reduction guidance diagram and a reduction guidance process for the fracture area, and use the reduction guidance diagram and the reduction guidance process for the fracture area as the user's fracture reduction guidance information.

[0069] In this embodiment, the terminal generates a fracture area reduction guidance diagram and a fracture area reduction guidance process based on the reduction guidance strategy and a 3D structural diagram. These diagram and process are then used as the user's fracture reduction guidance information. The reduction guidance diagram is a 3D guidance diagram, and the reduction guidance process is a flow of repositioning the fracture area according to the sequence of process nodes.

[0070] Based on the above scheme, dynamic ultrasound scanning of the fracture area can comprehensively acquire ultrasound data corresponding to different angles, postures, and states of the fracture area, thereby constructing a three-dimensional structural map of the fracture area. This three-dimensional structural map can comprehensively display the three-dimensional structure of the fracture area under different state conditions, effectively improving the comprehensiveness of fracture feature identification and addressing feature deviation problems caused by structural data errors. Then, this scheme extracts fracture feature information based on the constructed three-dimensional structural map and generates a reduction guidance strategy to produce a reduction guidance diagram and reduction guidance process. This provides reduction guidance to medical staff from both a visual and textual information perspective, effectively reducing reduction abnormalities caused by insufficient experience of medical staff and providing them with more intuitive, accurate, and comprehensive reduction guidance information, thereby improving the effectiveness of fracture reduction guidance for doctors.

[0071] Optionally, according to a preset ultrasound scanning strategy, dynamic ultrasound data of the user's fracture area is acquired, including: identifying the scanning process and scanning method of the user's fracture area based on the ultrasound scanning strategy; identifying the scanning progression angle of the fracture area based on the scanning process of the fracture area, and identifying the single scan range of the fracture area based on the scanning method of the fracture area; performing ultrasound scanning processing on the fracture area based on the scanning progression angle and the single scan range of the fracture area to obtain each single ultrasound data of the fracture area, and using all single ultrasound data as the dynamic ultrasound data of the user's fracture area.

[0072] In this embodiment, the terminal identifies the scanning process and scanning method of the user's fracture area based on an ultrasound scanning strategy. The scanning method includes single-scan ranges for different postures, while the scanning process consists of progressive scanning angles corresponding to different postures.

[0073] The terminal identifies the scanning progression angle of the fracture area based on the scanning process of the fracture area, and identifies the single scanning range of the fracture area based on the scanning method of the fracture area.

[0074] Then, based on the scanning progression angle of the fracture area and the single scanning range of the fracture area, the terminal performs ultrasound scanning processing on the fracture area to obtain single ultrasound data of the fracture area, and uses all single ultrasound data as the user's dynamic ultrasound data of the fracture area.

[0075] Based on the above scheme, by combining different postures and angles for scanning, the dynamic nature of the acquired ultrasound data is improved, and the comprehensiveness of the structural data scanning of the fracture area is enhanced.

[0076] Optionally, based on ultrasound scanning strategies and dynamic ultrasound data, a three-dimensional structural map of the fracture area is generated, including: identifying the fracture area range corresponding to each single ultrasound data based on each single ultrasound data, the single scan range of the fracture area, and the scanning progression angle of the fracture area; performing data transformation processing on each single ultrasound data to obtain the fracture area structural data corresponding to the single ultrasound data; and constructing a three-dimensional structural map of the fracture area based on the fracture area range corresponding to each single ultrasound data and the fracture area structural data corresponding to each single ultrasound data through a three-dimensional modeling strategy.

[0077] In this embodiment, the terminal identifies the fracture area range corresponding to each single ultrasound data based on each single ultrasound data, the single scan range of the fracture area, and the scanning progression angle of the fracture area.

[0078] Then, the terminal performs data transformation processing on each individual ultrasound data to obtain the fracture area structural data corresponding to each individual ultrasound data. Based on the fracture area range and structural data corresponding to each individual ultrasound data, a three-dimensional structural map of the fracture area is constructed using a three-dimensional modeling strategy. Specifically, the terminal constructs sub-three-dimensional structural maps according to different postures, and converts the sub-three-dimensional structural maps corresponding to each posture into three-dimensional dynamic maps using an image animation program in MATLAB, thus obtaining the three-dimensional structural map of the fracture area.

[0079] Based on the above scheme, the comprehensiveness of the identification of the three-dimensional structural data of the fracture area is improved by performing three-dimensional dynamic modeling of the fracture area.

[0080] Optionally, the feature recognition model includes an edge recognition algorithm and an image feature extraction network. Based on a three-dimensional structure map, the feature recognition model identifies fracture feature information of the fracture area, including: identifying the three-dimensional fracture range image in the three-dimensional structure map using the edge recognition algorithm; extracting image feature data from the three-dimensional fracture range image using the image feature extraction network; and adapting fracture feature data of each fracture feature type corresponding to each image feature data in the fracture feature atlas based on each image feature data; and using the fracture feature data of each fracture feature type as the fracture feature information of the fracture area.

[0081] In this embodiment, the terminal uses an edge recognition algorithm to identify a three-dimensional fracture range image in a three-dimensional structural map. This three-dimensional fracture range image is a dynamic three-dimensional diagram of the area corresponding to the bone portion within the fracture region.

[0082] Then, the terminal extracts image feature data from the 3D fracture extent image using an image feature extraction network. Based on this image feature data, it adapts the fracture feature data for each fracture feature type corresponding to each image feature data in the fracture feature atlas. The image feature extraction network is a 3D convolutional neural network based on deep learning. The fracture feature atlas includes the correspondence between different image feature data ranges and fracture feature data for each fracture feature type. The terminal adapts the fracture feature data for each fracture feature type through range adaptation based on these correspondences. These fracture feature types include, but are not limited to, fracture extent feature types, bone angle deviation feature types, bone distance deviation feature types, and bone deviation number types.

[0083] Finally, the terminal uses the fracture feature data of each fracture feature type as the fracture feature information of the fracture area.

[0084] Based on the above scheme, by screening the three-dimensional fracture range image and then extracting the image feature data, the amount of data processing is reduced and the efficiency of image feature data extraction is improved. Then, through the fracture feature atlas constructed by the inventor, the scheme adapts the fracture feature data of each fracture feature type through feature adaptation, thereby improving the accuracy and efficiency of extracting fracture feature data of each fracture feature type.

[0085] Optionally, based on the fracture feature information of the fracture area, a fracture reduction guidance strategy is generated through a fracture reduction guidance model. This includes: identifying the fracture type and degree of fracture in the fracture area based on fracture feature data of each fracture feature type, and selecting a fracture reduction scheme based on the fracture type and degree of fracture in the fracture area; generating reduction parameters for each process node of the fracture reduction process in the fracture area according to the fracture reduction scheme based on the fracture feature data of each fracture feature type; and generating a reduction guidance strategy for the fracture area according to the process sequence of each process node based on the reduction parameters of each process node.

[0086] In this embodiment, the terminal identifies the fracture type and severity of a fracture region based on fracture feature data for each fracture feature type using a fracture status analysis strategy. Based on these factors, it then selects a fracture reduction plan for the fracture region. Specifically, the fracture status analysis strategy identifies the fracture type based on the fracture feature data range to which each fracture feature type belongs. Furthermore, based on the correspondence between the severity of each fracture type and the sub-fracture feature ranges within the corresponding fracture feature data range, the terminal uses range adaptation to identify the severity of the fracture region. The terminal pre-defines the correspondence between different fracture reduction plans and the severity ranges of different fracture types. Then, the terminal adapts different fracture reduction plans using range adaptation.

[0087] Based on fracture feature data for various fracture types, the terminal uses a fracture reduction guidance model to generate the reduction methods for each node in the fracture reduction process according to the fracture reduction plan for the fracture area. Then, based on a 3D fracture extent image, the terminal identifies the reduction distance and angle between different bone segments according to the reduction methods of different process nodes. Finally, the terminal uses the reduction methods of different process nodes, the reduction distances between different bone segments, and the reduction angles as the reduction parameters for each process node.

[0088] Then, based on the reset parameters of each process node, the terminal generates a reset guidance strategy for the fracture area according to the process sequence of each process node.

[0089] Based on the above scheme, the fracture reduction guidance model identifies the reduction distance and angle between different bone parts at different process nodes, thereby identifying the reduction parameters of each process node and improving the accuracy of identifying the reduction information of each bone part at different process nodes.

[0090] Optionally, based on the reduction guidance strategy and the 3D structural diagram, a reduction guidance diagram and a reduction guidance process for the fracture area are generated, including: based on the reduction parameters of each process node, marking the reduction range and reduction requirements corresponding to each process node in the 3D structural diagram according to the process sequence of each process node; based on the service requirements corresponding to each process node, generating the reduction path information of each process node within the reduction range corresponding to each process node through a reduction path optimization model, and marking the reduction path information of each process node in the 3D structural diagram to obtain the reduction guidance diagram of the fracture area; and generating the reduction guidance process for the fracture area by using a text generation network with the reduction path information corresponding to each process node according to the process sequence of each process node.

[0091] In this embodiment, based on the reset parameters of each process node, the terminal marks the reset range and reset requirements corresponding to each process node in the three-dimensional structure diagram according to the process sequence of each process node. The reset requirements include the current position information of the fractured part and the required reset spatial distance to the original position information of the fractured part.

[0092] Based on the service requirements corresponding to each process node, a reset path optimization model is used to generate reset path information for each process node within its corresponding reset range. This reset path information is then marked in a 3D structural diagram to obtain a reset guidance map of the fracture area. The reset path optimization model is a neural network based on the path optimization algorithm corresponding to the ant colony algorithm.

[0093] Finally, the terminal generates a reduction guidance process for the fracture area by using a text generation network, based on the reduction path information corresponding to each process node and the process sequence of each node. This reduction guidance process presents medical staff with text information detailing the reduction tasks required at each process node.

[0094] Based on the above scheme, by combining the reduction parameters, optimized reduction path information is generated, and then reduction guidance is provided, which improves the reduction efficiency of the fracture area.

[0095] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0096] Based on the same inventive concept, this application also provides a fracture reduction guidance system for implementing the fracture reduction guidance method described above. The solution provided by this system is similar to the solution described in the above method; therefore, the specific limitations of one or more fracture reduction guidance system embodiments provided below can be found in the limitations of the fracture reduction guidance method described above, and will not be repeated here.

[0097] Further reference Figure 2 As a response to the above Figure 1 The present application provides an embodiment of a fracture reduction guidance system 200, which includes an acquisition module 210, a generation module 220, and a determination module 230, wherein:

[0098] The acquisition module 210 is used to acquire dynamic ultrasound data of the user's fracture area according to a preset ultrasound scanning strategy, and generate a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data.

[0099] The generation module 220 is used to identify fracture feature information of the fracture area based on the three-dimensional structural diagram through a feature recognition model, and generate a reduction guidance strategy for the fracture area based on the fracture feature information of the fracture area through a fracture reduction guidance model.

[0100] The determination module 230 is used to generate a reduction guidance diagram of the fracture area and a reduction guidance process of the fracture area based on the reduction guidance strategy and the three-dimensional structural diagram, and to use the reduction guidance diagram of the fracture area and the reduction guidance process of the fracture area as the fracture reduction guidance information of the user.

[0101] Optionally, the acquisition module 210 is specifically used for:

[0102] Based on ultrasound scanning strategies, the scanning process for identifying the user's fracture area, as well as the scanning method for the fracture area, is determined.

[0103] Based on the scanning process of the fracture area, the scanning progression angle of the fracture area is identified, and based on the scanning method of the fracture area, the single scanning range of the fracture area is identified.

[0104] Based on the scanning progression angle of the fracture area and the single scanning range of the fracture area, the fracture area is subjected to ultrasound scanning processing to obtain single ultrasound data of the fracture area, and all single ultrasound data are used as the dynamic ultrasound data of the fracture area of ​​the user.

[0105] Optionally, the acquisition module 210 is specifically used for:

[0106] Based on each single ultrasound data, the single scan range of the fracture area, and the scanning progression angle of the fracture area, the fracture area range corresponding to each single ultrasound data is identified;

[0107] The individual ultrasound data are processed to obtain the fracture area structure data corresponding to each individual ultrasound data. Based on the fracture area range and the fracture area structure data corresponding to each individual ultrasound data, a three-dimensional structure map of the fracture area is constructed using a three-dimensional modeling strategy.

[0108] Optionally, the generation module 220 is specifically used for:

[0109] The edge recognition algorithm is used to identify the three-dimensional fracture range image in the three-dimensional structural map.

[0110] The image feature extraction network extracts image feature data from the three-dimensional fracture range image, and based on the image feature data, it adapts fracture feature data of each fracture feature type corresponding to each image feature data in the fracture feature atlas.

[0111] The fracture feature data of each fracture feature type are used as the fracture feature information of the fracture region.

[0112] Optionally, the generation module 220 is specifically used for:

[0113] Based on the fracture characteristic data of each fracture characteristic type, the fracture type and fracture degree of the fracture area are identified through fracture status analysis strategy, and the fracture reduction scheme of the fracture area is screened based on the fracture type and fracture degree of the fracture area.

[0114] Based on the fracture feature data of each fracture feature type, the fracture reduction guidance model generates the reduction parameters of each process node of the fracture reduction process in the fracture area according to the fracture reduction scheme of the fracture area.

[0115] Based on the reset parameters of each process node, a reset guidance strategy for the fracture area is generated according to the process sequence of each process node.

[0116] Optionally, the determining module 230 is specifically used for:

[0117] Based on the reset parameters of each process node, and in accordance with the process sequence of each process node, the reset range and reset requirements corresponding to each process node are marked in the three-dimensional structure diagram.

[0118] Based on the service requirements corresponding to each process node, the reset path information of each process node is generated within the reset range corresponding to each process node through the reset path optimization model, and the reset path information of each process node is marked in the three-dimensional structure diagram to obtain the reset guidance diagram of the fracture area.

[0119] The reset path information corresponding to each process node is used to generate a reset guidance process for the fracture area through a text generation network, according to the process order of each process node.

[0120] The modules in the aforementioned fracture reduction guidance system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0121] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 3As shown, the computer device includes a processor, memory, communication interface, display screen, and input system connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for guiding fracture reduction. The display screen can be an LCD screen or an e-ink screen. The input system can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0122] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0123] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described in any one of the first aspects.

[0124] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0125] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0126] It should be noted that the patient information (including but not limited to patient device information, patient personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the patient or fully authorized by all parties.

[0127] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0128] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for guiding fracture reduction, characterized in that, The method includes: According to the preset ultrasound scanning strategy, dynamic ultrasound data of the user's fracture area is acquired, and a three-dimensional structural map of the fracture area is generated based on the ultrasound scanning strategy and the dynamic ultrasound data. Based on the three-dimensional structural diagram, the fracture feature information of the fracture area is identified through a feature recognition model, and a reduction guidance strategy for the fracture area is generated based on the fracture feature information of the fracture area through a fracture reduction guidance model. Based on the reduction guidance strategy and the three-dimensional structural diagram, a reduction guidance diagram and a reduction guidance process for the fracture area are generated, and the reduction guidance diagram and the reduction guidance process for the fracture area are used as the fracture reduction guidance information for the user.

2. The method according to claim 1, characterized in that, The process of acquiring dynamic ultrasound data of the user's fracture area according to a preset ultrasound scanning strategy includes: Based on ultrasound scanning strategies, the scanning process for identifying the user's fracture area, as well as the scanning method for the fracture area, is determined. Based on the scanning process of the fracture area, the scanning progression angle of the fracture area is identified, and based on the scanning method of the fracture area, the single scanning range of the fracture area is identified. Based on the scanning progression angle of the fracture area and the single scanning range of the fracture area, the fracture area is processed by ultrasound scanning to obtain single ultrasound data of the fracture area, and all single ultrasound data are used as the dynamic ultrasound data of the fracture area of ​​the user.

3. The method according to claim 2, characterized in that, The process of generating a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data includes: Based on each single ultrasound data, the single scan range of the fracture area, and the scanning progression angle of the fracture area, the fracture area range corresponding to each single ultrasound data is identified; The individual ultrasound data are processed to obtain the fracture area structure data corresponding to each individual ultrasound data. Based on the fracture area range and the fracture area structure data corresponding to each individual ultrasound data, a three-dimensional structure map of the fracture area is constructed using a three-dimensional modeling strategy.

4. The method according to claim 1, characterized in that, The feature recognition model includes an edge recognition algorithm and an image feature extraction network. Based on the three-dimensional structure map, the feature recognition model identifies fracture feature information of the fracture region, including: The edge recognition algorithm is used to identify the three-dimensional fracture range image in the three-dimensional structural map. The image feature extraction network extracts image feature data from the three-dimensional fracture range image, and based on the image feature data, it adapts fracture feature data of each fracture feature type corresponding to each image feature data in the fracture feature atlas. The fracture feature data of each fracture feature type are used as the fracture feature information of the fracture region.

5. The method according to claim 4, characterized in that, The method of generating a reduction guidance strategy for the fracture area based on the fracture feature information of the fracture area through a fracture reduction guidance model includes: Based on the fracture characteristic data of each fracture characteristic type, the fracture type and fracture degree of the fracture area are identified through fracture status analysis strategy, and the fracture reduction scheme of the fracture area is screened based on the fracture type and fracture degree of the fracture area. Based on the fracture feature data of each fracture feature type, the fracture reduction guidance model generates the reduction parameters of each process node of the fracture reduction process in the fracture area according to the fracture reduction scheme of the fracture area. Based on the reset parameters of each process node, a reset guidance strategy for the fracture area is generated according to the process sequence of each process node.

6. The method according to claim 5, characterized in that, The process of generating a reduction guidance map and a reduction guidance procedure for the fracture area based on the reduction guidance strategy and the three-dimensional structural map includes: Based on the reset parameters of each process node, and in accordance with the process sequence of each process node, the reset range and reset requirements corresponding to each process node are marked in the three-dimensional structure diagram. Based on the service requirements corresponding to each process node, the reset path information of each process node is generated within the reset range corresponding to each process node through the reset path optimization model, and the reset path information of each process node is marked in the three-dimensional structure diagram to obtain the reset guidance diagram of the fracture area. The reset path information corresponding to each process node is used to generate a reset guidance process for the fracture area through a text generation network, according to the process order of each process node.

7. A guidance system for fracture reduction, characterized in that, The system includes: The acquisition module is used to acquire dynamic ultrasound data of the user's fracture area according to a preset ultrasound scanning strategy, and generate a three-dimensional structural map of the fracture area based on the ultrasound scanning strategy and the dynamic ultrasound data. The generation module is used to identify fracture feature information of the fracture area based on the three-dimensional structural diagram through a feature recognition model, and generate a reduction guidance strategy for the fracture area based on the fracture feature information of the fracture area through a fracture reduction guidance model. The determination module is used to generate a reduction guidance diagram and a reduction guidance process for the fracture area based on the reduction guidance strategy and the three-dimensional structural diagram, and to use the reduction guidance diagram and the reduction guidance process for the fracture area as the fracture reduction guidance information for the user.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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