Clinical wound healing monitoring method based on a three-dimensional wound assessment tool

Abstract

The application relates to a clinical wound healing monitoring method based on a three-dimensional wound evaluation tool, a 3D image of a wound is constructed by a three-dimensional wound evaluation tool based on a 3D image generation technology; a wound healing contour in the 3D image is recognized and marked by using an image contour recognition algorithm, and a contour parameter thereof is measured and marked by using the three-dimensional wound evaluation tool; and the marked wound healing contour is sent to a HIS system and stored in an electronic medical record of a patient by the HIS system. Thus, wound parameters are marked on the constructed three-dimensional wound image, medical staff can monitor the trauma morphology of the patient, wound healing supervision is realized, wound parameters of the patient are recorded through the HIS system, the wound healing condition of the patient is determined, effective wound healing evaluation and monitoring are realized, practical and implementable measures are provided for the clinic, and wound supervision and nursing management of patients in a general surgery department and the like are facilitated.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of intelligent diagnostic evaluation, in particular to a clinical wound healing monitoring method, system and electronic device based on a three-dimensional wound evaluation tool. BACKGROUND

[0002] The three-dimensional wound evaluation tool is a medical device that uses three-dimensional technology to accurately measure and evaluate wounds. It can provide stereoscopic images and data of wounds to help medical staff more accurately understand the wound situation and develop more effective treatment plans. The main advantages are as follows:

[0003] Three-dimensional measurement technology: The tool uses advanced three-dimensional measurement technology to accurately obtain stereoscopic information such as size, depth, shape, etc. of the wound, which is more accurate than traditional two-dimensional measurement. The portable 3D wound evaluation tool is mainly based on non-contact measurement and three-dimensional measurement technology, which can more accurately evaluate the wound situation.

[0004] Portable design: The device is small and portable, allowing wound evaluation at any time and improving the flexibility and efficiency of medical services.

[0005] Intuitive display: Through three-dimensional images and data display, medical staff can intuitively understand the wound situation, including wound edges, depth, tissue type, etc., which helps to develop more accurate treatment plans.

[0006] Data recording and analysis: The three-dimensional wound evaluation tool can record wound evaluation data and perform data analysis to help medical staff track wound healing and evaluate treatment effectiveness. Through three-dimensional scanning and reconstruction technology, a three-dimensional model of the wound is generated, and detailed wound analysis and evaluation are performed.

[0007] With the rapid development of information technology and artificial intelligence, three-dimensional wound evaluation tools are increasingly widely used in clinical practice. They can be used not only for acute wound evaluation but also for chronic wound, burn, trauma and other types of wound evaluation.

[0008] However, current research on such evaluation tools in China is still in its infancy, and further optimization is needed to improve the measurement accuracy of special-shaped wounds. Therefore, the current three-dimensional wound evaluation tool is mainly used to provide stereoscopic images of wounds for medical staff to monitor patient trauma patterns, and there is no effective evaluation and monitoring method for wound healing supervision. SUMMARY

[0009] To solve the above problems, the present application proposes a clinical wound healing monitoring method, system and electronic device based on a three-dimensional wound evaluation tool.

[0010] In one aspect of the present application, a clinical wound healing monitoring method based on a three-dimensional wound evaluation tool is provided, comprising the following steps:

[0011] S1, acquiring a three-dimensional point cloud image of a wound by an RGB-D camera and uploading to a background server;

[0012] S2, preprocessing the wound point cloud image data on the background server to obtain wound point cloud image data;

[0013] S3, importing the wound point cloud image data into a preset three-dimensional wound evaluation tool, and constructing a 3D image of the wound based on 3D image generation technology;

[0014] S4, identifying and marking the wound healing contour in the 3D image by using an image contour recognition algorithm, and measuring and marking the contour parameters by using the three-dimensional wound evaluation tool;

[0015] S5, sending the marked wound healing contour to the HIS system, and storing it in the electronic medical record of the patient by the HIS system.

[0016] As an optional embodiment of the present application, optionally, S1, acquiring a three-dimensional point cloud image of a wound by an RGB-D camera and uploading to a background server, comprising:

[0017] Pre-constructing an electronic medical record of a trauma patient in the HIS system on the background server;

[0018] According to a preset sampling frequency, sending a sampling instruction from the background server to an industrial computer, processing the sampling instruction by the industrial computer and controlling the RGB-D camera to sample, acquiring the three-dimensional point cloud image of the wound of the trauma patient and feeding back to the industrial computer;

[0019] Uploading the three-dimensional point cloud image to the background server through the industrial computer, and storing it in the electronic medical record.

[0020] As an optional embodiment of the present application, optionally, in step S2, the preprocessing of the wound point cloud image data comprises at least one of the following preprocessing methods:

[0021] Deleting discrete point cloud pixels;

[0022] Or

[0023] Filling in missing point cloud pixels.

[0024] As an optional embodiment of the present application, optionally, in step S3, after importing the wound point cloud image data into a preset three-dimensional wound evaluation tool and constructing a 3D image of the wound based on 3D image generation technology, further comprising:

[0025] collecting a two-dimensional image of the wound and uploading the background server;

[0026] Based on the collection angle of the two-dimensional image, the contrast image of the two-dimensional image is obtained by taking a screenshot from the 3D image;

[0027] Referring to the two-dimensional image, the contrast image is compared and the image distinguishing feature is marked on the contrast image;

[0028] The marked contrast image is projected onto the 3D image again, and the wound correction of the 3D image is performed based on the image distinguishing feature marked on the contrast image.

[0029] Another aspect of the present application, a system for implementing the above-mentioned clinical wound healing monitoring method based on three-dimensional wound evaluation tool is provided, comprising:

[0030] Wound point cloud data acquisition module, for collecting three-dimensional point cloud image of wound by RGB-D camera and uploading background server;

[0031] Preprocessing module, for preprocessing the wound point cloud image data on the background server, obtaining wound point cloud image data;

[0032] Wound 3D creation module, for importing the wound point cloud image data into the preset three-dimensional wound evaluation tool, and constructing the 3D image of the wound based on 3D image generation technology;

[0033] Contour recognition module, for identifying and marking the wound healing contour in the 3D image by using image contour recognition algorithm, and measuring and marking the contour parameters by using the three-dimensional wound evaluation tool;

[0034] Wound healing supervision module, for sending the marked wound healing contour to HIS system, and storing it in the electronic medical record of the patient by HIS system.

[0035] Another aspect of the present application, an electronic device is also provided, comprising:

[0036] Processor;

[0037] Memory for storing processor executable instructions;

[0038] Wherein, the processor is configured to execute the executable instructions to realize the clinical wound healing monitoring method based on three-dimensional wound evaluation tool.

[0039] Technical effects of the present application:

[0040] The application constructs a 3D image of a wound based on a 3D image generation technology through a three-dimensional wound evaluation tool; utilizes an image contour recognition algorithm to recognize and mark a wound healing contour in the 3D image, and utilizes the three-dimensional wound evaluation tool to measure and mark contour parameters thereof; and sends the marked wound healing contour to a HIS system, which stores the wound healing contour in an electronic medical record of a patient. Thus, wound parameters are marked on the constructed three-dimensional wound image, which is used by medical staff to monitor a wound morphology of the patient, and the wound healing of the patient is supervised, and wound parameters of the patient are recorded through the HIS system, so as to determine the wound healing of the patient, and effective wound healing evaluation and monitoring are realized, and practical and implementable measures are provided for the clinic, and wound supervision and nursing management of patients in a general surgery department and the like are facilitated.

[0041] Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the present disclosure and serve to explain the principles of the present disclosure.

[0043] Figure 1 An implementation flowchart of the present application is shown;

[0044] Figure 2 A structure schematic diagram of an application system of the present application is shown;

[0045] Figure 3 An identification and marking schematic diagram of a wound healing contour of the present application is shown;

[0046] Figure 4 An application schematic diagram of an electronic device of the present application is shown. DETAILED DESCRIPTION

[0047] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the drawings represent functionally the same or similar elements. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0048] The word "exemplary" is used herein in the sense of being an example, illustration, or demonstration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

[0049] In addition, for a better illustration of the present disclosure, numerous specific details are given in the following detailed description. Those skilled in the art will understand that the present disclosure can be practiced without certain specific details. In some instances, well-known means, elements and circuits are not described in detail in order to emphasize the principles of the present disclosure.

[0050] Embodiment 1

[0051] As shown in the drawings, in one aspect of the present application, a clinical wound healing monitoring method based on a three-dimensional wound evaluation tool is provided, comprising the following steps: Figure 1

[0052] S1, using an RGB-D camera to collect a three-dimensional point cloud image of a wound and uploading to a background server;

[0053] S2, preprocessing the wound point cloud image data on the background server to obtain wound point cloud image data;

[0054] S3, importing the wound point cloud image data into a pre-set three-dimensional wound evaluation tool, and constructing a 3D image of the wound based on 3D image generation technology;

[0055] S4, using an image contour recognition algorithm to identify and mark the wound healing contour in the 3D image, and using the three-dimensional wound evaluation tool to measure and mark the contour parameters;

[0056] S5, sending the marked wound healing contour to the HIS system, and storing it in the electronic medical record of the patient by the HIS system.

[0057] In combination with the drawings Figure 2 As shown in the drawings, the application system relied on by the method of the present application mainly includes a 3D camera (RGB-D camera), an industrial computer, a background server and a nursing equipment PDA terminal (referred to as a nursing terminal).

[0058] The three-dimensional wound evaluation tool can be selected and installed by the user to the background according to the corresponding application. For example, the three-dimensional forensic intelligent measurement system developed by Zhen 3D team (for forensic clinical injury identification, which can quickly calculate the length, width and area of the curved surface wound on the body surface).

[0059] ​The 3D camera can be deployed in various departments, such as the department of general surgery, and can be used to collect wound samples from trauma patients. The industrial computer controls the 3D camera to take pictures and sample. The data communication and communication control between the industrial computer and the 3D camera can be deployed according to the existing control principle of the industrial computer, and the 3D camera can select the communication port device supported by the industrial computer. The industrial computer can communicate with the background, and can use RS485 communication, other wired communication or wireless communication to realize data communication between the industrial computer and the background server.

[0060] For trauma patients, they can go to the nursing room for sampling according to the doctor's order, or they can be regularly sampled by the 3D camera deployed beside the bed. The specific deployment and application site can be determined by the administrator.

[0061] When sampling, the background server can send a sampling instruction to the industrial computer, which executes the instruction and controls the 3D camera to sample 3D images, so as to collect three-dimensional point cloud image data of the patient's wound, and then upload the data to the background server after preprocessing by the industrial computer. FGPA image processing chips can be deployed in the industrial computer to pre-process the three-dimensional point cloud image, generate an initial wound three-dimensional model based on 3D modeling technology, and then upload it to the background server. Further processing of three-dimensional point cloud image data is performed on the background server to obtain a 3D image of the wound, reducing the running pressure of the background server.

[0062] A corresponding three-dimensional wound evaluation tool, i.e., three-dimensional wound evaluation software, is pre-installed and deployed on the background server. Based on 3D image generation technology, the three-dimensional point cloud image data of the wound can be processed (referring to three-dimensional reconstruction technology), and a corresponding 3D image of the wound can be automatically generated, i.e., a wound three-dimensional model as shown in FIG. 8 can be obtained. Figure 3

[0063] After creating a wound three-dimensional model or a wound 3D image using the tool, the wound healing contour in the image can be identified. This place uses an image contour recognition algorithm to recognize and mark the wound healing contour in the 3D image, which is convenient for subsequent parameter measurement of the marked wound healing contour using the three-dimensional wound evaluation tool, and automatic labeling. In this way, the wound healing parameters of the corresponding current patient are labeled and output.

[0064] ​In the above manner, three-dimensional data of the wound of the patient can be collected regularly, and a corresponding 3D image can be generated, and then a tool is used to measure the wound healing profile parameters of the 3D image, and the measurement parameters are output and recorded in the electronic medical record of the patient in the HIS system, and subsequent nursing staff can log in to the background server to check the electronic medical record of the patient in the HIS system through a PDA terminal, so as to analyze the healing condition of the wound of the patient, and give corresponding wound healing nursing strategies from the background.

[0065] In the above manner, the nurses do not need to supervise and track the healing condition of the wound of the patient on site, so as to save nursing resources. After the three-dimensional point cloud image data of the wound is uploaded, a corresponding wound healing supervision file can be generated on the background server, so that the nurses can supervise the wound healing conditions of the patients and track in time, and propose corresponding wound healing states and nursing suggestions to the patients.

[0066] In addition, the 3D camera of the present application can also be driven by a mechanical arm. The mechanical arm is controlled by an industrial computer, and corresponding mechanical arm background control software can be installed on the background server. The background control software generates corresponding mechanical arm movement trajectories and sends control parameters or instructions to the industrial computer, and the industrial computer controls the mechanical arm to drive the 3D camera to take pictures of the wound of the patient. The corresponding movement trajectory can be constructed in advance by the background administrator. The mechanical arm can be controlled to drive the 3D camera to collect three-dimensional point cloud image data of the wound of the patient from different spatial angles, so as to realize automatic image collection and remote control and unmanned monitoring.

[0067] The user can use the three-dimensional wound evaluation tool to realize the following services:

[0068] 1. Measurement and labeling method

[0069] Data scanning and loading: use a three-dimensional loading engine to realize smooth rendering of three-dimensional model data, and provide a basis for measurement.

[0070] 2. Millimeter-level measurement: use a millimeter-level measurement tool to quickly locate and measure the length and width of the wound on the model, and then calculate the area.

[0071] 3. Automatic labeling: the system can automatically label the size information of the wound on the image, which is convenient for subsequent analysis and recording.

[0072] These three-dimensional wound evaluation tool software and measurement methods provide a more scientific and accurate means for forensic clinical identification, which helps to improve the efficiency and accuracy of identification.

[0073] The parameters of the measurement and annotation mentioned above can be output by the tool after measurement and annotation, and the size parameters of the wound healing contour can be recorded to record the healing of the patient's wound. Write to the HIS system by the system.

[0074] As Figure 3 shown, a schematic diagram for identifying and marking the wound healing contour in the 3D image using image contour recognition algorithm. On the 3D image of the wound (wound three-dimensional model), contour recognition is carried out, and the wound contour (or wound healing contour) can be identified and marked. Then, the tool's measurement and annotation function is used to mark and output the contour size of the wound healing contour, and the healing size of the wound is obtained.

[0075] The algorithm for identifying and marking the image contour usually involves computer vision and image processing technology. A commonly used method is to use edge detection algorithm to identify the contour in the image, and then mark the contour. The following is a general step of image contour recognition and its marking based on edge detection:

[0076] Algorithm selection

[0077] Common edge detection algorithms include Canny edge detection, Sobel edge detection, Prewitt edge detection, Roberts edge detection, etc. Among them, Canny edge detection is widely used because of its good detection performance and accuracy.

[0078] Image contour recognition steps

[0079] Image preprocessing:

[0080] Convert the color image to grayscale image by graying the original image to simplify the processing.

[0081] Image filtering is performed to remove noise and enhance the clarity of the edges.

[0082] Edge detection:

[0083] Apply the selected edge detection algorithm (such as Canny edge detection) to process the grayscale image to get the binary edge image.

[0084] In the edge image, the pixels with value 1 represent the edges, and the pixels with value 0 represent the non-edges.

[0085] Contour extraction:

[0086] Contour tracking or contour extraction is performed on the edge image to get the contour information in the image.

[0087] Contour extraction can be achieved by traversing the edge image to find continuous edge pixels and connecting them into contours.

[0088] Contour labeling:

[0089] The extracted contours are labeled for subsequent processing and analysis.

[0090] Labeling can be achieved by assigning each contour a unique identifier or color.

[0091] Contour analysis and applications:

[0092] Further analysis is performed on the labeled contours, such as calculating the length, area, shape, and other features of the contours.

[0093] Applications such as image understanding, object recognition, and object tracking are performed based on the contour features.

[0094] Notes

[0095] When performing edge detection, appropriate threshold values and parameters need to be selected to obtain accurate edge images.

[0096] The accuracy of contour extraction and labeling is affected by image quality and preprocessing effects, so appropriate preprocessing of the image is required.

[0097] For complex images, other image processing techniques such as image segmentation and morphological processing may be combined to improve the accuracy of contour recognition and labeling.

[0098] Through the above steps, the recognition and labeling of image contours can be achieved, providing a foundation for subsequent image analysis and applications.

[0099] As an optional embodiment of the present application, S1, a three-dimensional point cloud image of a wound is collected by an RGB-D camera and uploaded to a background server, comprising:

[0100] An electronic medical record of a trauma patient is constructed in advance in the HIS system on the background server;

[0101] According to a preset sampling frequency, a sampling instruction is sent from the background server to an industrial computer, the sampling instruction is processed by the industrial computer, and the RGB-D camera is controlled to sample, collect the three-dimensional point cloud image of the wound of the trauma patient, and feedback to the industrial computer;

[0102] The three-dimensional point cloud image is uploaded to the background server through the industrial computer and stored in the electronic medical record.

[0103] The sampling frequency is determined by the administrator, which can be logged in to the background through the PDA and the corresponding sampling frequency is input. The industrial computer configuration and instruction execution can be understood in combination with the existing system controller. The deployment of the industrial computer can be designed at the bedside or the nurse station.

[0104] As an optional embodiment of the present application, in step S2, the wound point cloud image data is preprocessed, including at least one of the following preprocessing methods:

[0105] deleting discrete point cloud pixels;

[0106] or

[0107] filling in missing point cloud pixels.

[0108] The contour recognition algorithm mainly includes the following:

[0109] The preprocessing method of the wound point cloud image data:

[0110] Noise filtering: using statistical filtering, median filtering and other methods to remove noise in the point cloud.

[0111] Point cloud registration: register the point cloud data obtained from multiple angles to make them in the same coordinate system.

[0112] Point cloud downsampling: downsample the point cloud to reduce data volume and improve processing speed.

[0113] Point cloud segmentation: divide the point cloud into several regions for subsequent processing.

[0114] Point cloud feature extraction: extract the geometric features of the point cloud, such as curvature, normal vector, etc.

[0115] The preprocessing is implemented by the administrator.

[0116] As an optional embodiment of the present application, in step S3, after the wound point cloud image data is imported into the preset three-dimensional wound evaluation tool and the 3D image of the wound is constructed based on 3D image generation technology, it further includes:

[0117] Collecting a two-dimensional image of the wound and uploading it to the background server;

[0118] Based on the collection angle of the two-dimensional image, taking a screenshot from the 3D image to obtain a contrast image of the two-dimensional image;

[0119] Referring to the two-dimensional image, comparing the contrast image and marking the image distinguishing features on the contrast image;

[0120] Reprojecting the marked contrast image onto the 3D image and correcting the wound based on the image distinguishing features marked on the contrast image.

[0121] Between the physical model and the wound three-dimensional model, there may be model differences between the wound three-dimensional model and the actual patient wound due to system differences such as missing pixel points in the collection of point cloud data and other factors. Therefore, the wound image correction of the wound healing contour on the wound three-dimensional image is also adopted by using the two-dimensional image to improve the image position accuracy of the wound contour. The two-dimensional image of the wound is collected (which can be collected by a 2D camera or a 3D camera, but the working parameters and camera angles need to be set for 2D camera mode conversion), the 3D image is screenshot based on the collection angle of the two-dimensional image, and the two-dimensional contrast image corresponding to the wound healing area is obtained. In combination with the two-dimensional image of the patient's wound as a reference, the contrast image is compared, the image contour or regional difference is marked, and the marked contrast image is projected onto the 3D image, so as to realize the image correction of the three-dimensional model by using the two-dimensional image of the entity, and the wound contour area or wound healing contour on the three-dimensional model is more matched with the actual wound contour, thereby improving the accuracy.

[0122] Obviously, those skilled in the art should understand that all or part of the processes in the above embodiments can be completed by a computer program instructing related hardware, and the program can be stored in a computer readable storage medium. The program can include the processes of the above-mentioned control embodiments when executed. Those skilled in the art can understand that all or part of the processes in the above embodiments can be completed by a computer program instructing related hardware, and the program can be stored in a computer readable storage medium. The program can include the processes of the above-mentioned control embodiments when executed. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD), etc. The storage medium can also include a combination of the above-mentioned types of memories.

[0123] Embodiment 2

[0124] Based on the implementation principle of embodiment 1, another aspect of the present application provides a system for implementing the above-mentioned clinical wound healing monitoring method based on a three-dimensional wound evaluation tool, comprising:

[0125] A wound point cloud data acquisition module is used to collect three-dimensional point cloud images of the wound by using an RGB-D camera and upload the images to a background server.

[0126] A preprocessing module is configured to preprocess the wound point cloud image data on the background server to obtain wound point cloud image data.

[0127] A wound 3D creation module is configured to import the wound point cloud image data into a preset three-dimensional wound evaluation tool, and construct a 3D image of a wound based on a 3D image generation technology.

[0128] A contour recognition module is configured to recognize and mark a wound healing contour in the 3D image by using an image contour recognition algorithm, and measure and mark contour parameters of the wound healing contour by using the three-dimensional wound evaluation tool.

[0129] A wound healing supervision module is configured to send the marked wound healing contour to a HIS system, and store the wound healing contour in an electronic medical record of a patient by the HIS system.

[0130] The interaction of the system is described in Embodiment 1, and will not be repeated here.

[0131] The modules or steps of the present application described above can be implemented by a general computing system, which can be concentrated on a single computing system or distributed on a network composed of multiple computing systems. Alternatively, the modules or steps can be implemented by program codes executable by a computing system, so that the modules or steps can be stored in a storage system and executed by the computing system, or the modules or steps can be manufactured into individual integrated circuit modules or a single integrated circuit module. Therefore, the present application is not limited to any specific combination of hardware and software.

[0132] Embodiment 3

[0133] As shown in Figure 4 Further, another aspect of the present application also provides an electronic device, which comprises:

[0134] a processor;

[0135] a memory for storing processor-executable instructions;

[0136] When the processor is configured to execute the executable instructions, the method for monitoring clinical wound healing based on a three-dimensional wound evaluation tool is implemented.

[0137] The electronic device of the present disclosure comprises a processor and a memory for storing processor-executable instructions. When the processor is configured to execute the executable instructions, the method for monitoring clinical wound healing based on a three-dimensional wound evaluation tool is implemented.

[0138] It should be pointed out here that the number of processors can be one or more. Meanwhile, the electronic device in the embodiments of the present disclosure can also include an input system and an output system. Among them, the processor, the memory, the input system and the output system can be connected through a bus, or can be connected through other ways, which is not limited here.

[0139] The memory, as a computer readable storage medium, can be used to store software programs, computer executable programs and various modules, such as programs or modules corresponding to the clinical wound healing monitoring method based on the three-dimensional wound assessment tool of the embodiments of the present disclosure. The processor executes the software programs or modules stored in the memory, thereby performing various function applications and data processing of the electronic device.

[0140] The input system can be used to receive input numbers or signals. Among them, the signal can be a key signal generated in relation to the user settings and function control of the device / terminal / server. The output system can include a display device such as a display screen.

[0141] The above has described the embodiments of the present disclosure, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes are obvious to those skilled in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, practical application or technical improvement in the market, or to enable other ordinary skilled persons in the art to understand the embodiments disclosed herein.

Claims

1. A clinical wound healing monitoring method based on a three-dimensional wound assessment tool, characterized in that, Includes the following steps: S1. Use an RGB-D camera to acquire a 3D point cloud image of the wound and upload it to the backend server; S2. On the backend server, the wound point cloud image data is preprocessed to obtain wound point cloud image data; S3. Import the wound point cloud image data into a preset three-dimensional wound assessment tool, and construct a 3D image of the wound based on 3D image generation technology; Acquire two-dimensional images of the wound and upload them to the backend server; Based on the acquisition angle of the two-dimensional image, a screenshot is taken from the 3D image to obtain a comparison image of the two-dimensional image; Referring to the two-dimensional image, the comparison image is compared, and the image distinguishing features are marked on the comparison image; The marked comparison image is reprojected onto the 3D image, and wound correction is performed on the 3D image based on the image distinction features marked on the comparison image; S4. Using an image contour recognition algorithm, identify and mark the wound healing contour in the 3D image, and use the three-dimensional wound assessment tool to measure and label its contour parameters; S5. The marked wound healing outline is sent to the HIS system, which stores it in the patient's electronic medical record.

2. The clinical wound healing monitoring method based on a three-dimensional wound assessment tool according to claim 1, characterized in that, S1. Acquire 3D point cloud images of the wound using an RGB-D camera and upload them to the backend server, including: Electronic medical records for trauma patients are pre-built in the HIS system on the backend server; According to the preset sampling frequency, the background server sends a sampling command to the industrial control computer, which processes the sampling command and controls the RGB-D camera to perform sampling, acquire the three-dimensional point cloud image of the wound of the trauma patient and feed it back to the industrial control computer; The industrial control computer uploads the 3D point cloud image to the backend server and stores it in the electronic medical record.

3. The clinical wound healing monitoring method based on a three-dimensional wound assessment tool according to claim 1, characterized in that, In step S2, the preprocessing of the wound point cloud image data includes at least one of the following preprocessing methods: Delete discrete point cloud pixels; or Fill in the missing pixels in the point cloud.

4. A system for implementing the clinical wound healing monitoring method based on a three-dimensional wound assessment tool as described in any one of claims 1-3, characterized in that, include: The wound point cloud data acquisition module is used to acquire three-dimensional point cloud images of wounds using an RGB-D camera and upload them to the backend server. The preprocessing module is used to preprocess the wound point cloud image data on the background server to obtain wound point cloud image data. The wound 3D creation module is used to import the wound point cloud image data into a preset three-dimensional wound assessment tool and construct a 3D image of the wound based on 3D image generation technology. The contour recognition module is used to identify and mark the wound healing contour in the 3D image using an image contour recognition algorithm, and to measure and annotate its contour parameters using the three-dimensional wound assessment tool. The wound healing monitoring module is used to send the marked wound healing contour to the HIS system, which then stores it in the patient's electronic medical record.

5. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to implement, when executing the executable instructions, a clinical wound healing monitoring method based on a three-dimensional wound assessment tool as described in any one of claims 1-3.

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