Virtual reality simulation method for breast surgery

Abstract

The invention discloses a breast surgery virtual reality simulation method, and belongs to the technical field of medicine. According to the method, the problem that an existing breast surgery simulation method is lack of reality and interactivity is solved, breast surgery data and medical image data required by a breast surgery are collected, and a breast surgery three-dimensional virtual model containing multiple tissue levels such as skin, fat and muscles is constructed according to the collected data; according to the method, a virtual model is established, factors such as an operation area, operation instruments and the surrounding environment are considered, so that a virtual operation scene containing the factors is created, a doctor can perform mammary gland operation by utilizing interaction between the doctor and the virtual model through a virtual reality platform, and behavior data of the doctor are collected in real time; in this way, the three-dimensional virtual model is optimized, the operation effect is improved, the virtual reality platform can output the operation result in the form of videos or pictures or the like, and a more visual reference basis is provided for doctors and patients.

Description

Technical Field

[0001] The invention relates to the field of medical technology, and in particular to a virtual reality simulation method for breast surgery. Background Art

[0002] Breast surgery is a common surgical method for treating breast diseases, but there are many risks and uncertainties in actual surgery, such as damage to surrounding tissues and bleeding during surgery. Therefore, before performing breast surgery, doctors need to fully understand the surgical process and practice training to ensure the success of the operation and reduce the risk to patients. However, traditional breast surgery simulation methods have many limitations, such as lack of realism and interactivity, which cannot help doctors get a real surgical experience; therefore, it does not meet existing needs. In this regard, we propose a virtual reality simulation method for breast surgery. Summary of the invention

[0003] The purpose of the present invention is to provide a virtual reality simulation method for breast surgery. By collecting relevant medical data of breast surgery, using artificial intelligence to build a three-dimensional virtual model, adding multiple tissue levels, and creating a virtual surgical scene according to the patient's condition, these models and scenes are stored in a database for doctors to perform surgical operations on a virtual reality platform. At the same time, the doctor's behavior data is collected in real time to optimize the three-dimensional virtual model, thereby improving the surgical effect. Finally, the surgical results are displayed in the form of video or pictures, providing doctors and patients with a more intuitive reference basis, thereby solving the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a virtual reality simulation method for breast surgery, comprising the following steps:

[0005] Collect data required for breast surgery, including breast surgery data and medical image data;

[0006] Based on the collected data, artificial intelligence technology is used to build a three-dimensional virtual model of breast surgery and add multiple tissue layers such as skin, fat and muscle;

[0007] Create a virtual surgical scene including the surgical area, surgical instruments and surrounding environment based on the patient's condition and breast surgery needs;

[0008] Storing the constructed three-dimensional virtual model and virtual surgical scene in a database;

[0009] Based on the database, the 3D virtual model and virtual surgical scene are selected and imported into the virtual reality platform. The doctor interacts with the 3D virtual model through the virtual reality platform and then performs breast surgery.

[0010] Monitor the doctor's operation process in real time, collect the doctor's behavior data, and optimize the 3D virtual model through the behavior data;

[0011] Output breast surgery results in the form of video or pictures.

[0012] Furthermore, the breast surgery data is a surgery video, a surgery picture or a surgery schematic diagram, the breast surgery data is obtained from a hospital database, and the medical image data is a scan image of MRI or CT.

[0013] Furthermore, the collected breast surgery data and medical image data are preprocessed, including:

[0014] Data cleaning: remove incomplete or blurred images, breast surgery data and medical image data;

[0015] Image enhancement: Enhance medical image data, including dehazing, contrast enhancement, and color balancing;

[0016] Data annotation: Manually annotate each medical image data, extract the breast surgery operation area, and provide annotation information for the subsequent three-dimensional virtual model.

[0017] Furthermore, the construction of the three-dimensional virtual model includes the following steps:

[0018] The original breast surgery data and medical image data are segmented by an image segmentation algorithm, and then the breast surgery area is extracted, wherein the image segmentation algorithm includes a contour tracking method or a maximum entropy method;

[0019] Use convolutional neural networks to extract features from segmented breast surgery data and medical image data;

[0020] Based on the extracted features, a 3D virtual model is constructed using a machine learning algorithm;

[0021] For the constructed three-dimensional virtual model, the parameters of the three-dimensional virtual model are optimized through the cross-validation method.

[0022] Furthermore, based on the constructed three-dimensional virtual model, multiple tissue layers of skin, fat and muscle are added, including the following steps:

[0023] Based on the collected medical image data, image segmentation is performed on the original medical image data using threshold segmentation, region growing or edge detection;

[0024] The regions of different tissues such as breast tissue, skin, fat and muscle are obtained by segmentation;

[0025] Extract features from the segmented regions, including shape, texture, and color, as feature vectors representing different tissues;

[0026] The extracted feature vectors are input into the convolutional neural network model for inter-tissue fusion;

[0027] After the fusion is completed, multiple tissue layers of skin, fat and muscle are added to the constructed three-dimensional virtual model.

[0028] Furthermore, the creation of the virtual surgical scene includes the following steps:

[0029] Collect the patient's basic medical history and surgical indication information to understand the patient's specific condition and surgical needs;

[0030] Obtain the patient's surgical type based on surgical requirements and confirm surgical instruments based on the surgical type;

[0031] Build a surgical scene in a virtual environment, including the division of the surgical area, the placement of surgical instruments, and the layout and lighting of the operating room.

[0032] Furthermore, detailed surgical operation guidelines are embedded in the virtual surgical scene, including surgical steps, precautions and risk warnings.

[0033] Furthermore, the doctor interacts with the three-dimensional virtual model through a virtual reality platform, including the following steps:

[0034] The doctor logs into the virtual reality platform by entering his account password or scanning a code;

[0035] The doctor selects a 3D virtual model and a virtual surgical scene from the database, and imports the selected 3D virtual model and virtual surgical scene into the virtual reality platform;

[0036] The virtual reality platform will automatically load scenes and props that match the 3D virtual model and present them to the doctor, who will interact through the interactive interface provided by the virtual reality platform;

[0037] The virtual reality platform synchronizes the doctor's operations to the three-dimensional virtual model in real time and displays the operation results on the screen.

[0038] Furthermore, the optimization of the three-dimensional virtual model comprises the following steps:

[0039] Use cameras or sensors to capture data about the surgeon’s behavior throughout the procedure, including speed, hand movements, and muscle tension;

[0040] The collected behavioral data were analyzed to extract behavioral characteristics, including the mean and standard deviation of surgical speed;

[0041] Optimize the 3D virtual model based on the behavior data and extracted features;

[0042] Combine the optimized 3D virtual model with new behavior data and continuously update it;

[0043] The optimized three-dimensional virtual model is input into the virtual reality platform again.

[0044] Furthermore, the breast surgery results are output, including:

[0045] Video output: The doctor's surgical process in the virtual reality platform is recorded into a video, which includes the breast surgery results and the doctor's behavior data;

[0046] Image output: The doctor's surgical process in the virtual reality platform is converted into static images, which contain breast surgery results and doctor's behavior data.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] The present invention collects breast surgery data and medical image data required for breast surgery, and uses artificial intelligence technology to construct a three-dimensional virtual model of breast surgery including multiple tissue layers such as skin, fat and muscle according to the collected data, and takes factors such as the surgical area, surgical instruments and surrounding environment into consideration, thereby creating a virtual surgical scene including these factors, and then stores the information of the constructed three-dimensional virtual model and virtual surgical scene in a database for subsequent use. Doctors can use the virtual reality platform to interact with the virtual model to perform breast surgery. At the same time, the virtual reality platform can monitor the doctor's operation process in real time, and optimize the three-dimensional virtual model according to these behavioral data to improve the surgical effect. In addition, the virtual reality platform will output the results of the operation in the form of video or pictures, providing a more intuitive reference for doctors and patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 The figure is a flow chart of the virtual reality simulation method for breast surgery of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In order to solve the technical problems that existing breast surgery simulation methods have many limitations, such as lack of realism and interactivity, and thus cannot help doctors gain a real surgical experience, please refer to Figure 1, this embodiment provides the following technical solutions:

[0052] A virtual reality simulation method for breast surgery comprises the following steps:

[0053] Collect data required for breast surgery, including breast surgery data and medical image data;

[0054] Based on the collected data, artificial intelligence technology is used to build a three-dimensional virtual model of breast surgery and add multiple tissue layers such as skin, fat and muscle;

[0055] Create a virtual surgical scene including the surgical area, surgical instruments and surrounding environment based on the patient's condition and breast surgery needs;

[0056] Storing the constructed three-dimensional virtual model and virtual surgical scene in a database;

[0057] Based on the database, the 3D virtual model and virtual surgical scene are selected and imported into the virtual reality platform. The doctor interacts with the 3D virtual model through the virtual reality platform and then performs breast surgery.

[0058] Monitor the doctor's operation process in real time, collect the doctor's behavior data, and optimize the 3D virtual model through the behavior data;

[0059] Output breast surgery results in the form of video or pictures.

[0060] The technical effects of the above content are: first, breast surgery data and medical image data required for breast surgery are collected, and then artificial intelligence technology is used based on the collected data to construct a three-dimensional virtual model of breast surgery including multiple tissue layers such as skin, fat and muscle. At the same time, factors such as the surgical area, surgical instruments and surrounding environment need to be taken into account so that doctors can perform surgery in a virtual environment. The constructed three-dimensional virtual model and virtual surgical scene will be stored in a database for subsequent use. The three-dimensional virtual model and virtual surgical scene are selected from the database and imported into the virtual reality platform, so that doctors can interact with the virtual model to perform breast surgery. At the same time, the virtual reality platform can monitor the doctor's operation process in real time, and optimize the three-dimensional virtual model based on these behavioral data to improve the surgical effect. In addition, the virtual reality platform will output the results of the operation in the form of video or pictures, providing doctors and patients with a more intuitive reference.

[0061] The breast surgery data are surgery videos, surgery pictures or surgery diagrams, which are obtained from the hospital database, and the medical image data are MRI or CT scan images.

[0062] Preprocess the collected breast surgery data and medical image data, including:

[0063] Data cleaning: remove incomplete or blurred images, breast surgery data and medical image data;

[0064] Image enhancement: Enhance medical image data, including dehazing, contrast enhancement, and color balancing;

[0065] Data annotation: Manually annotate each medical image data, extract the breast surgery operation area, and provide annotation information for the subsequent three-dimensional virtual model.

[0066] The technical effect of the above content is: the collected breast surgery data and medical image data need to be preprocessed to facilitate subsequent modeling work. Since we cannot ensure the quality of the original breast surgery data and medical image data, the first step is to perform data cleaning to delete those incomplete or unclear breast surgery data and medical image data. Secondly, the medical image data is enhanced to improve the quality of the medical image data. Finally, each medical image data is labeled, mainly to locate the surgical area, so as to provide accurate location information for the subsequent establishment of a three-dimensional model. Through the above operations, data quality and availability can be ensured to better support subsequent virtual reality simulation methods. Data cleaning can remove incomplete or ambiguous data, thereby reducing the error rate and data loss. For medical image data, enhancement processing can make the image easier to identify and analyze, and data annotation can provide detailed location information, providing a basis for building a more accurate three-dimensional virtual model.

[0067] The construction of the three-dimensional virtual model includes the following steps:

[0068] The original breast surgery data and medical image data are segmented by an image segmentation algorithm, and then the breast surgery area is extracted, wherein the image segmentation algorithm includes a contour tracking method or a maximum entropy method;

[0069] Use convolutional neural networks to extract features from segmented breast surgery data and medical image data;

[0070] Based on the extracted features, a 3D virtual model is constructed using a machine learning algorithm;

[0071] For the constructed three-dimensional virtual model, the parameters of the three-dimensional virtual model are optimized through the cross-validation method.

[0072] The technical effect of the above content is: using an image segmentation algorithm to segment the original breast surgery data and medical image data, and then extracting the breast surgery area. When extracting the breast surgery area, the contour tracking method or the maximum entropy method can be used. Both algorithms can effectively separate the area of ​​interest (such as the surgical area) from the background, and then use a convolutional neural network to extract features from the segmented breast surgery data and medical image data. The convolutional neural network can automatically extract useful feature information from the original image to facilitate subsequent modeling work. Based on the extracted features, a three-dimensional virtual model is constructed using a machine learning algorithm, and the input extracted features can generate a realistic three-dimensional virtual model. The parameters of the constructed three-dimensional virtual model are optimized. This process can be achieved through cross-validation. Cross-validation is a commonly used parameter tuning method that can find the best model parameters, thereby improving the performance of the three-dimensional virtual model.

[0073] On the basis of the constructed 3D virtual model, multiple tissue layers of skin, fat and muscle are added, including the following steps:

[0074] Based on the collected medical image data, image segmentation is performed on the original medical image data using threshold segmentation, region growing or edge detection;

[0075] The regions of different tissues such as breast tissue, skin, fat and muscle are obtained by segmentation;

[0076] Extract features from the segmented regions, including shape, texture, and color, as feature vectors representing different tissues;

[0077] The extracted feature vectors are input into the convolutional neural network model for inter-tissue fusion;

[0078] After the fusion is completed, multiple tissue layers of skin, fat and muscle are added to the constructed three-dimensional virtual model.

[0079] The technical effect of the above content is: based on the collected medical image data, the original medical image data is segmented using image processing techniques such as threshold segmentation, region growing or edge detection to obtain regions of different tissues such as breast tissue, skin, fat and muscle, thereby separating the region of interest in the original image data for subsequent feature extraction, and extracting features from each segmented region, and the extracted content includes but is not limited to features such as shape, texture and color. These features will be used as feature vectors representing different tissues for subsequent inter-tissue fusion. After extracting the feature vectors, we input them into the convolutional neural network model for inter-tissue fusion. The main task of this model is to learn a function that can predict the function or structure of the target tissue based on the input feature vector. Finally, on the basis of the constructed three-dimensional virtual model, multiple tissue layers of skin, fat and muscle are added to generate a three-dimensional virtual model with multiple tissue layers such as skin, fat and muscle, so as to make the three-dimensional virtual model more realistic.

[0080] The creation of a virtual surgical scene includes the following steps:

[0081] Collect the patient's basic medical history and surgical indication information to understand the patient's specific condition and surgical needs;

[0082] Obtain the patient's surgical type based on surgical requirements and confirm surgical instruments based on the surgical type;

[0083] A surgical scene is built in a virtual environment, including the division of the surgical area, the placement of surgical instruments, and the layout and lighting of the operating room. In the virtual surgical scene, a detailed surgical operation guide is embedded, including surgical steps, precautions, and risk warnings.

[0084] The technical effect of the above content is: in order to build a real surgical scene in virtual reality, it is necessary to collect the patient's basic medical history and surgical indication information, which includes but is not limited to the patient's age, gender, medical history, condition description, etc. By collecting this information, the patient's specific situation can be better understood, thereby determining the needs and type of surgery. At the same time, appropriate surgical instruments can be selected according to the patient's specific situation to prepare for the construction of a virtual surgical scene. According to the needs of the surgery, a surgical scene is built in a virtual environment, which includes the division of the surgical area to facilitate the surgeon to perform surgical operations in the virtual surgical environment, the placement of surgical instruments to ensure that the doctor can use surgical instruments conveniently in the virtual surgical environment, and the layout of the operating room and the setting of light so that the doctor can have a good visual experience in the virtual surgical environment. In addition, in order to enable the doctor to better complete the surgical operation in the virtual surgical environment, a detailed surgical operation guide can be embedded in the virtual surgical scene. These guidelines include but are not limited to surgical steps, precautions and risk warnings. Through the surgical operation guide, the doctor can be familiar with the surgical process before the operation to avoid surgical errors caused by unfamiliarity with the surgical process.

[0085] It should be noted that the collection of patients' basic medical records and surgical indication information, as well as the above-mentioned collection of data required for breast surgery, should fully consider the patient's privacy rights and data security issues, and the patient's informed consent should be obtained.

[0086] Doctors interact with the 3D virtual model through a virtual reality platform, which includes the following steps:

[0087] The doctor logs into the virtual reality platform by entering his account password or scanning a code;

[0088] The doctor selects a 3D virtual model and a virtual surgical scene from the database, and imports the selected 3D virtual model and virtual surgical scene into the virtual reality platform;

[0089] The virtual reality platform will automatically load scenes and props that match the 3D virtual model and present them to the doctor, who will interact through the interactive interface provided by the virtual reality platform;

[0090] The virtual reality platform synchronizes the doctor's operations to the three-dimensional virtual model in real time and displays the operation results on the screen.

[0091] The technical effect of the above content is: doctors can log in to the virtual reality platform by entering their own account password or scanning a QR code, etc., which can ensure that only authorized doctors and other relevant personnel can access the virtual reality platform, prevent unauthorized access, and ensure the patient's privacy and data security issues. Then the doctor will select a suitable three-dimensional virtual model and virtual surgical scene from the database. These models should simulate various situations during the operation as realistically as possible, such as the size and location of the surgical area and the tissue structure that may be encountered. In addition, the scene should also include all necessary surgical tools and equipment. When the doctor selects the model and scene, the virtual reality platform will automatically load the environment and props that match them and present them to the doctor. The doctor can perform actual surgical operations through the interactive interface provided by the platform, so that the doctor can start breast surgery practice in a virtual environment. The virtual reality platform needs to synchronize the doctor's operations to the three-dimensional virtual model in real time, so that the doctor can see how the actions in the virtual surgery affect the actual surgical process. At the same time, the results of the operation will also be displayed on the screen to help the doctor understand whether they are performing the surgery in the expected way.

[0092] The optimization of the three-dimensional virtual model includes the following steps:

[0093] Use cameras or sensors to capture data about the surgeon’s behavior throughout the procedure, including speed, hand movements, and muscle tension;

[0094] The collected behavioral data were analyzed to extract behavioral characteristics, including the mean and standard deviation of surgical speed;

[0095] Optimize the 3D virtual model based on the behavior data and extracted features;

[0096] Combine the optimized 3D virtual model with new behavior data and continuously update it;

[0097] The optimized three-dimensional virtual model is input into the virtual reality platform again.

[0098] Output breast surgery results, including:

[0099] Video output: The doctor's surgical process in the virtual reality platform is recorded into a video, which includes the breast surgery results and the doctor's behavior data;

[0100] Image output: The doctor's surgical process in the virtual reality platform is converted into static images, which contain breast surgery results and doctor's behavior data.

[0101] The technical effect of the above content is: using video equipment or sensors to record the real-time data of the doctor's surgical speed, hand movements and muscle tension throughout the whole process, and then analyzing these data to extract behavioral characteristics, and optimizing the three-dimensional virtual model accordingly based on the behavioral data and the extracted characteristics, and combining the optimized three-dimensional virtual model with the new behavioral data to achieve continuous iterative updates until the three-dimensional virtual model reaches the ideal surgical skill level, and finally, applying these optimized three-dimensional virtual models to the virtual reality platform, and outputting the results of breast surgery at the same time, so as to record the doctor's surgical process as a video or convert it into a static picture, so as to facilitate postoperative evaluation and repeated learning, so that doctors and medical teams can more intuitively understand the results of breast surgery, thereby providing doctors and patients with a more intuitive reference basis.

[0102] Working principle: By collecting breast surgery data and medical image data, and then using artificial intelligence technology, a three-dimensional virtual model of breast surgery that includes multiple tissue layers such as skin, fat and muscle can be constructed. At the same time, factors such as the surgical area, surgical instruments and surrounding environment must also be considered so that doctors can perform surgery in a virtual environment. The constructed three-dimensional virtual model and virtual surgical scene will be stored in the database for easy subsequent use. The three-dimensional virtual model and virtual surgical scene are selected from the database and imported into the virtual reality platform. Doctors can interact with the virtual model to perform breast surgery. At the same time, the virtual reality platform can monitor the doctor's operation process in real time and optimize the three-dimensional virtual model based on these behavioral data to improve the surgical effect. In addition, the virtual reality platform will output the results of the operation in the form of video or pictures, providing doctors and patients with a more intuitive reference.

[0103] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0104] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A virtual reality simulation method for breast surgery, characterized in that: The following steps are involved: Collect data required for breast surgery, including breast surgery data and medical image data; Based on the collected data, artificial intelligence technology is used to build a three-dimensional virtual model of breast surgery and add multiple tissue layers such as skin, fat and muscle; Create a virtual surgical scene including the surgical area, surgical instruments and surrounding environment based on the patient's condition and breast surgery needs; Storing the constructed three-dimensional virtual model and virtual surgical scene in a database; Based on the database, the 3D virtual model and virtual surgical scene are selected and imported into the virtual reality platform. The doctor interacts with the 3D virtual model through the virtual reality platform and then performs breast surgery. Monitor the doctor's operation process in real time, collect the doctor's behavior data, and optimize the 3D virtual model through the behavior data; Output breast surgery results in the form of video or pictures.

2. A virtual reality simulation method for breast surgery according to claim 1, characterized in that: The breast surgery data is a surgery video, a surgery picture or a surgery schematic diagram, the breast surgery data is obtained from a hospital database, and the medical image data is a scan image of MRI or CT.

3. A virtual reality simulation method for breast surgery according to claim 1, characterized in that: Preprocess the collected breast surgery data and medical image data, including: Data cleaning: remove incomplete or blurred images, breast surgery data and medical image data; Image enhancement: Enhance medical image data, including dehazing, contrast enhancement, and color balancing; Data annotation: Manually annotate each medical image data, extract the breast surgery operation area, and provide annotation information for the subsequent three-dimensional virtual model.

4. A virtual reality simulation method for breast surgery according to claim 1, characterized in that: The construction of the three-dimensional virtual model includes the following steps: The original breast surgery data and medical image data are segmented by an image segmentation algorithm, and then the breast surgery area is extracted, wherein the image segmentation algorithm includes a contour tracking method or a maximum entropy method; Use convolutional neural networks to extract features from segmented breast surgery data and medical image data; Based on the extracted features, a 3D virtual model is constructed using a machine learning algorithm; For the constructed three-dimensional virtual model, the parameters of the three-dimensional virtual model are optimized through the cross-validation method.

5. The virtual reality simulation method for breast surgery according to claim 1, characterized in that: On the basis of the constructed 3D virtual model, multiple tissue layers of skin, fat and muscle are added, including the following steps: Based on the collected medical image data, image segmentation is performed on the original medical image data using threshold segmentation, region growing or edge detection; The regions of different tissues such as breast tissue, skin, fat and muscle are obtained by segmentation; Extract features from the segmented regions, including shape, texture, and color, as feature vectors representing different tissues; The extracted feature vectors are input into the convolutional neural network model for inter-tissue fusion; After the fusion is completed, multiple tissue layers of skin, fat and muscle are added to the constructed three-dimensional virtual model.

6. A virtual reality simulation method for breast surgery according to claim 1, characterized in that: The creation of the virtual surgical scene includes the following steps: Collect the patient's basic medical history and surgical indication information to understand the patient's specific condition and surgical needs; Obtain the patient's surgical type based on surgical requirements and confirm surgical instruments based on the surgical type; Build a surgical scene in a virtual environment, including the division of the surgical area, the placement of surgical instruments, and the layout and lighting of the operating room.

7. A virtual reality simulation method for breast surgery according to claim 6, characterized in that: Detailed surgical operation guidelines are embedded in the virtual surgical scene, including surgical steps, precautions and risk warnings.

8. The virtual reality simulation method for breast surgery according to claim 1, characterized in that: The doctor interacts with the three-dimensional virtual model through a virtual reality platform, including the following steps: The doctor logs into the virtual reality platform by entering his account password or scanning a QR code; The doctor selects a 3D virtual model and a virtual surgical scene from the database, and imports the selected 3D virtual model and virtual surgical scene into the virtual reality platform; The virtual reality platform will automatically load scenes and props that match the 3D virtual model and present them to the doctor, who will interact through the interactive interface provided by the virtual reality platform; The virtual reality platform synchronizes the doctor's operations to the three-dimensional virtual model in real time and displays the operation results on the screen.

9. A virtual reality simulation method for breast surgery according to claim 1, characterized in that: The optimization of the three-dimensional virtual model comprises the following steps: Use cameras or sensors to capture data about the surgeon’s behavior throughout the procedure, including speed, hand movements, and muscle tension; The collected behavioral data were analyzed to extract behavioral characteristics, including the mean and standard deviation of surgical speed; Optimize the 3D virtual model based on the behavior data and extracted features; Combine the optimized 3D virtual model with new behavior data and continuously update it; The optimized three-dimensional virtual model is input into the virtual reality platform again.

10. The virtual reality simulation method for breast surgery according to claim 1, characterized in that: Output breast surgery results, including: Video output: The doctor's surgical process in the virtual reality platform is recorded into a video, which includes the breast surgery results and the doctor's behavior data; Image output: The doctor's surgical process in the virtual reality platform is converted into static images, which contain breast surgery results and doctor's behavior data.

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