Trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality

Abstract

The invention discloses a trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality, which comprises an anatomical model construction module, a space registration module, a dynamic tracking module, a puncture path planning module, a navigation guide module, a puncture verification module, a feedback regulation module and an operation recording module, a high-precision registration mechanism of a virtual-real space is established, personalized registration parameters are set according to anatomical structure characteristics of different patients, the space corresponding relation between a mixed reality image and an actual anatomical structure is guaranteed, meanwhile, the movement track of a puncture needle is projected to a mixed reality display interface in real time, and the real-time registration of the mixed reality image is achieved. According to the method, the deviation condition of the puncture path and the planned path can be dynamically monitored, the accuracy of puncture navigation is guaranteed, the operation positioning error is further reduced, and the safety of puncture operation is improved through the multi-mode positioning technology integrating electromagnetic tracking and optical tracking.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mixed reality, in particular to a trigeminal ganglion puncture dynamic tracking positioning system based on mixed reality. BACKGROUND

[0002] Trigeminal neuralgia is a common disease in the middle-aged and elderly population, and the specific manifestations of the disease are paroxysmal knife-cut-like and electric-like pain in the face, which is severe in nature. Washing face, brushing teeth and even blowing air may induce pain, and the pain is sudden and short, and there is no regularity when there is no pain.

[0003] In the trigeminal ganglion puncture operation, the application of mixed reality technology still has limitations. In the space registration process of the traditional mixed reality navigation system, due to the position deviation or slight movement of the patient's surface marker during the operation, the spatial correspondence relationship between the virtual image and the actual anatomical structure is prone to deviation. This registration error will directly affect the planning accuracy of the puncture path.

[0004] Therefore, the trigeminal ganglion puncture dynamic tracking positioning system based on mixed reality is proposed to solve the above problems. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a trigeminal ganglion puncture dynamic tracking positioning system based on mixed reality, which solves the problems raised in the background art.

[0006] To achieve the above purpose, the present application provides the following technical scheme: a trigeminal ganglion puncture dynamic tracking positioning system based on mixed reality, comprising: an anatomical model construction module: obtaining DICOM original data of the patient's head and face CT or MRI, and generating a 3D virtual anatomical model containing trigeminal ganglion, foramen ovale and surrounding blood vessel and nerve structure through a three-dimensional reconstruction algorithm; a space registration module: through the space mapping sensor built-in the mixed reality glasses, a 1:1 mapping relationship between the virtual 3D model coordinate system and the real physical space is established, and the accurate superposition of the holographic image and the actual anatomical structure of the patient is realized; a dynamic tracking module: a real-time vision-inertial odometer calculation method based on feature points is adopted to continuously track the position change of the patient's head and dynamically adjust the holographic projection position to maintain the registration accuracy; a puncture path planning module: based on the 3D virtual anatomical model, an optimal puncture path is automatically calculated by an artificial intelligence algorithm, including the needle entry point position, needle entry angle and depth; a navigation guide module: the planned optimal puncture path is projected into the mixed reality field in real time to form visual guidance information; Puncture verification module: real-time monitoring of the position of the puncture needle during the puncture process through a miniature electromagnetic sensor, and deviation analysis with the planned path; Feedback adjustment module: when the puncture deviation exceeds the preset threshold, automatically generate path correction suggestions and update the navigation guidance information; Surgical record module: complete recording of key parameters and image data during the puncture process, suitable for postoperative analysis and teaching.

[0007] Preferably, the anatomical model construction module comprises: DICOM data processing unit: denoising, enhancing and standardizing preprocessing of original medical image data, and calculating the image signal-to-noise ratio using the following formula: ; Wherein is the mean value of the effective signal of the image, is the standard deviation of the noise; Structure segmentation unit: automatically identify and segment the trigeminal ganglion, oval foramen, blood vessels and surrounding key anatomical structures using deep learning algorithms; Three-dimensional reconstruction unit: convert the segmented two-dimensional slice data into a three-dimensional mesh model through the Marching Cubes algorithm; Material rendering unit: assign different colors and transparency properties to different anatomical structures to enhance the visualization effect.

[0008] Preferably, the registration process of the spatial registration module comprises: Paste at least 4 two-dimensional code marker points with unique coded patterns on the patient's face; Obtain the spatial position information of the marker points through the depth camera of the mixed reality glasses; Calculate the transformation matrix of the actual space coordinate system composed of the marker points and the coordinate system of the corresponding marker points in the virtual model; Apply the iterative closest point algorithm to optimize the registration accuracy, so that the registration error is controlled within 0.5mm.

[0009] Preferably, the working process of the dynamic tracking module comprises: Establish a sensor fusion framework based on extended Kalman filtering, integrating visual feature points, inertial measurement units and depth sensor data; Real-time calculation of 6 degrees of freedom pose changes of the head, updating the projection matrix of the virtual model; When detecting marker point occlusion, automatically switch to the visual-inertial odometer mode based on bony features; Pose verification is performed every 100ms, and when the cumulative error exceeds 1mm, the re-registration process is triggered.

[0010] Preferably, the path calculation method of the puncture path planning module comprises: A multi-objective optimization function is established based on anatomical constraints, and the following path optimization evaluation formula is used: ; Where L is the path length, is the contact area of the path with the blood vessel, is the angle adjustment amount, , , is the weight coefficient and ; A genetic algorithm is used to search for a Pareto optimal solution set in the solution space; The weight coefficient is set in combination with the experience of doctors, and the most suitable path in the clinic is selected from the optimal solution set; A three-dimensional puncture channel tubular model including a safety boundary is generated.

[0011] Preferably, the guidance information of the navigation guidance module comprises: A semi-transparent holographic image of the anatomical structure is displayed in real time; A dynamically updated optimal puncture path tubular channel; An indication of the spatial deviation of the current puncture needle position from the planned path; A warning prompt for the dangerous area of the key anatomical structure; A real-time numerical display of the remaining puncture depth.

[0012] Preferably, the puncture verification module comprises: A 9-axis MEMS inertial measurement unit integrated in the proximal end of the puncture needle; A low-frequency electromagnetic field generator arranged in the surgical area; A micro electromagnetic sensor array implanted in the tip of the puncture needle; A 6-degree-of-freedom pose solution algorithm based on sensor fusion; An augmented reality display interface for real-time visualization of deviation vectors.

[0013] Preferably, the working logic of the feedback adjustment module comprises: The radial deviation threshold is set to 1mm and the angle deviation threshold is set to 3 degrees; When the real-time monitoring deviation exceeds the threshold, the minimum correction vector is automatically calculated; Generate step-by-step adjustment instructions including correction angles and depths; Trigger a hierarchical alarm according to the severity of the deviation, including visual cues, vibration feedback, and sound alarms.

[0014] Preferably, the data recorded by the surgical record module comprises: Complete timestamp marked surgical operation procedure video; 3D scene snapshot and annotation of key steps; Complete spatial coordinate sequence of puncture needle trajectory; All system alarm events and processing records; Deviation analysis report of final puncture position and planning target.

[0015] Preferably, it also includes: Cloud collaboration module: support multi-expert remote real-time consultation, allow authorized doctors to view and annotate the surgical scene; Machine learning module: continuously collect surgical data to optimize path planning algorithm, establish personalized puncture strategy library; Simulation training module: provide a virtual surgery training environment based on the same technology; Device integration interface: support seamless docking with DSA, ultrasound and other imaging devices.

[0016] Compared with the prior art, the present application has the following beneficial effects: 1. By establishing a high-precision registration mechanism of virtual and real space, and setting personalized registration parameters for different patient anatomical structure characteristics, the spatial correspondence relationship between mixed reality image and actual anatomical structure is ensured, and the movement trajectory of the puncture needle is projected in real time to the mixed reality display interface, which can dynamically monitor the deviation of the puncture path and the planned path, ensure the accuracy of the puncture navigation, and further reduce the positioning error of the operation; 2. By fusing multi-modal positioning technology of electromagnetic tracking and optical tracking, the spatial position offset of the puncture needle is calculated in real time, and it is dynamically judged whether the puncture needle deviates from the safe path, so that the system can reduce the positioning deviation in the puncture process, and when the puncture needle appears position offset, the navigation guidance can be adjusted in real time according to the preset safe path parameters, so that the puncture needle always remains within the optimal path range, and the safety of the puncture operation is improved; 3. By the intelligent hierarchical early warning mechanism, the dangerous area is divided into multiple levels, the warning intensity is dynamically adjusted according to the real-time distance between the puncture needle and the dangerous structure, so that the system can implement differentiated early warning strategies according to different danger levels, reduce the risk of important nerve and blood vessel structure damage, and further improve the safety and reliability of the operation. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The framework diagram of the present application based on mixed reality trigeminal ganglion puncture dynamic tracking positioning system. DETAILED DESCRIPTION

[0018] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0019] Please refer to Figure 1 The mixed reality-based trigeminal ganglion puncture dynamic tracking positioning system comprises: An anatomical model construction module: DICOM original data of a patient's head and face CT or MRI is acquired, and a 3D virtual anatomical model containing a trigeminal ganglion, a foramen ovale and surrounding blood vessel and nerve structures is generated through a three-dimensional reconstruction algorithm; A spatial registration module: a 1:1 mapping relationship between a virtual 3D model coordinate system and a real physical space is established through a spatial mapping sensor built in a mixed reality glasses, and accurate superposition of a holographic image and an actual anatomical structure of a patient is realized; A dynamic tracking module: a real-time vision-inertial odometer calculation method based on feature points is adopted to continuously track changes in the position of a patient's head, and a holographic projection position is dynamically adjusted to maintain registration accuracy; A puncture path planning module: based on a 3D virtual anatomical model, an optimal puncture path is automatically calculated by an artificial intelligence algorithm, including a needle entry point position, a needle entry angle and a depth; A navigation guide module: the planned optimal puncture path is projected into a mixed reality field of view in real time to form visualized guide information; A puncture verification module: a micro electromagnetic sensor is used to monitor the position of a puncture needle in real time during a puncture process, and deviation analysis is performed with a planned path; A feedback adjustment module: when a puncture deviation exceeds a preset threshold, path correction suggestions are automatically generated and navigation guide information is updated; A surgery record module: key parameters and image data in a puncture process are completely recorded, which is suitable for postoperative analysis and teaching.

[0020] The anatomical model construction module comprises: A DICOM data processing unit: original medical image data is preprocessed by denoising, enhancement and standardization, and an image signal-to-noise ratio is calculated by using the following formula: ; Wherein is an effective signal mean of an image, is a noise standard deviation; A structure segmentation unit: a deep learning algorithm is used to automatically identify and segment a trigeminal ganglion, a foramen ovale, a blood vessel and surrounding key anatomical structures; Three-dimensional reconstruction unit: convert the segmented two-dimensional slice data into a three-dimensional mesh model through the Marching Cubes algorithm; Material rendering unit: assign different colors and transparency properties to different anatomical structures to enhance the visualization effect.

[0021] The registration process of the spatial registration module includes: Paste at least 4 two-dimensional code marker points with unique coded patterns on the patient's face; Obtain the spatial position information of the marker points through the depth camera of the mixed reality glasses; Calculate the transformation matrix of the actual spatial coordinate system composed of the marker points and the coordinate system of the corresponding marker points in the virtual model; Apply the iterative closest point algorithm to optimize the registration accuracy, so that the registration error is controlled within 0.5mm.

[0022] The working process of the dynamic tracking module includes: Establish a sensor fusion framework based on extended Kalman filtering, integrating visual feature points, inertial measurement units and depth sensor data; Real-time calculation of 6 degrees of freedom head pose changes to update the virtual model projection matrix; When the marker points are detected to be blocked, automatically switch to the visual-inertial odometer mode based on bony features; Pose verification is performed every 100ms, and when the cumulative error exceeds 1mm, the re-registration process is triggered.

[0023] The path calculation method of the puncture path planning module includes: Based on the anatomical constraints, a multi-objective optimization function is established, and the following path optimization evaluation formula is used: ; Where L is the path length, is the contact area of the path with the blood vessel, is the angle adjustment amount, 、 、 is the weight coefficient and ; Use genetic algorithm to search for Pareto optimal solution set in solution space; Combine the experience of doctors to set the weight coefficient, and select the most suitable clinical path from the optimal solution set; Generate a three-dimensional puncture channel tubular model containing a safety boundary.

[0024] The guidance information of the navigation guidance module includes: Real-time superimposed translucent holographic image of the anatomical structure; Dynamically updated optimal puncture path tubular channel; Spatial deviation of current needle position from planned path; Warning prompt for dangerous region of critical anatomical structure; Real-time numerical display of remaining puncture depth.

[0025] Puncture verification module includes: 9-axis MEMS inertial measurement unit integrated into the proximal end of the puncture needle; Low-frequency electromagnetic field generator arranged in the surgical area; Miniature electromagnetic sensor array implanted in the tip of the puncture needle; 6-DOF pose solving algorithm based on sensor fusion; Augmented reality display interface for real-time visualization of deviation vector.

[0026] The working logic of the feedback adjustment module includes: Set the radial deviation threshold to 1mm and the angular deviation threshold to 3 degrees; When the real-time monitoring deviation exceeds the threshold, automatically calculate the minimum correction vector; Generate step-by-step adjustment guidelines containing correction angles and depths; Trigger graded warnings according to the severity of the deviation, including visual cues, vibration feedback, and sound alarms.

[0027] The data recorded by the surgical record module includes: Complete time-stamped surgical operation process video; 3D scene snapshots and annotations of key steps; Complete spatial coordinate sequence of the puncture needle trajectory; All system alarm events and processing records; Deviation analysis report of the final puncture position from the planned target.

[0028] Also includes: Cloud collaboration module: supports multi-specialist remote real-time consultation, allows authorized doctors to view and annotate the surgical scene; Machine learning module: continuously collects surgical data to optimize path planning algorithms and establishes a personalized puncture strategy library; Simulation training module: provides a virtual surgery training environment based on the same technology; Device integration interface: supports seamless integration with DSA, ultrasound, and other imaging devices.

[0029] Embodiment one: Mixed reality image construction and spatial registration: The system first acquires the patient's preoperative high-resolution CT and MRI scan data through the hospital PACS system, and uses advanced deep learning algorithms to automatically segment the original DICOM format images. During the segmentation process, the system pays special attention to the accurate identification of the foramen ovale, trigeminal ganglion and surrounding important blood vessel structures, and achieves precise segmentation of subtle anatomical structures through a multi-scale feature extraction network. After segmentation, the system uses a three-dimensional reconstruction engine to generate a three-dimensional virtual model containing bones, nerves and blood vessels, and assigns different display properties to different tissues: bones appear semi-transparent white to observe deep structures, nerves are displayed in bright yellow, and blood vessels are marked in red to highlight their dangerous properties.

[0030] The spatial registration step uses innovative two-dimensional code marker registration technology. Before the operation, medical staff paste 4-6 specially designed medical two-dimensional code markers on the patient's face at specific anatomical locations. These markers are made of biocompatible materials to ensure firm adhesion and avoid skin allergic reactions. The system captures the spatial positions of these markers through the depth camera of the mixed reality device, and sets identical virtual two-dimensional code markers in the corresponding positions of the three-dimensional virtual model. During registration, the system uses an improved iterative closest point algorithm for spatial transformation calculation, and through multiple iterations, the spatial position error between the actual markers and the virtual markers is controlled within 1 mm. To ensure registration reliability, the system also sets up a multiple verification mechanism: first, coarse registration is performed to determine the general spatial relationship, then fine registration is performed to optimize local alignment, and finally manual confirmation of the consistency of key anatomical landmarks is performed. This hierarchical registration strategy ensures both registration efficiency and final registration accuracy to meet the needs of surgical navigation.

[0031] Example Two: Dynamic tracking and path planning: Dynamic tracking of the puncture needle uses innovative multi-sensor fusion technology, integrating a micro electromagnetic sensor array on a standard radiofrequency puncture needle. These sensors, measuring only a few cubic millimeters in size, can provide real-time feedback on the spatial pose of the needle body at a high frequency. An electromagnetic field generator placed under the operating bed establishes a stable spatial coordinate system, and by solving the sensor's induced signals in the electromagnetic field, the three-dimensional coordinates and needle insertion angle of the needle tip are accurately calculated. To compensate for possible drift errors in electromagnetic tracking, the system also uses the built-in depth camera of the mixed reality device for optical auxiliary tracking, using a feature point matching-based visual algorithm to continuously monitor the visible part of the puncture needle.

[0032] The path planning module adopts an optimization algorithm based on artificial intelligence. First, the central position and spatial trend of the foramen ovale are automatically identified through three-dimensional image processing technology, and the three-dimensional positional relationship with the surrounding dangerous structures is analyzed. The system constructs a path evaluation model containing multiple constraint conditions, considering multiple dimensions such as path length, safety margin, and angle rationality. In actual calculations, an improved search algorithm is used to explore all possible puncture paths in three-dimensional space, quickly exclude high-risk paths through heuristic functions, and finally output three to five candidate paths for the operator to choose. It is particularly noteworthy that the system has real-time adaptive adjustment capability. When the patient's body position moves during the operation, through continuous spatial coordinate updating, the parameters of the planned path are dynamically corrected to ensure the continuous accuracy of navigation guidance. The system also innovatively introduces a force feedback compensation algorithm. When the puncture needle encounters tissue resistance, causing the actual needle direction to deviate from the planned path, it can intelligently predict the deviation trend and give correction suggestions in advance.

[0033] Example Three: Safety warning and operation evaluation: The safety warning module adopts a hierarchical response strategy. The system pre-classifies dangerous areas into three levels based on anatomical knowledge: Level 1 warning area: 3-5mm from dangerous structures, displayed in yellow semi-transparent high light, accompanied by moderate intermittent sound prompts; Level 2 warning area: 1-3mm, switched to orange warning, sound prompt frequency increased; Level 3 warning area: less than 1mm, with flashing red warning and continuous alarm sound, and automatically pops up a magnified view of the dangerous area. The warning algorithm uses a real-time calculation method of spatial distance field to achieve sub-millimeter accuracy by establishing a dynamic distance field between the puncture needle and the dangerous structure.

[0034] The postoperative evaluation module constructs a comprehensive operation quality evaluation system. The system automatically records the complete trajectory data of the entire puncture process, including needle tip position, needle angle, speed change, and other key parameters, and marks each important operation node with a timestamp. The evaluation algorithm compares the actual puncture path with the planned path in three dimensions, calculates the statistical indicators of spatial deviation, and analyzes the frequency and amplitude of path correction during the operation. Based on these quantitative data, the system generates a structured operation report containing path adherence score, operation fluency evaluation, and other professional indicators. The system can automatically intercept mixed reality scene screenshots of key operation nodes, which contain both the actual operation scene and superimposed navigation information, providing intuitive visual materials for post-operation review and teaching. All operation data are stored in a standardized format, supporting retrieval and statistical analysis according to multiple conditions, and accumulating high-quality real-world data for clinical research.

[0035] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other inventors can develop based on the same general inventive concepts embodied by the described embodiments. That is, although the present application is described in terms of particular embodiments and implementations, it is to be understood that the terminology used is for the purpose of descriptive clarity and that it should be taken in a descriptive sense and not a limiting sense.

[0036] While the embodiments of the application have been shown and described herein, it is to be understood that the application is not limited to these embodiments. Rather, many modifications, changes, substitutions, and alterations can be made to the embodiments of the application without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A dynamic tracking and positioning system for trigeminal ganglion puncture based on mixed reality, characterized by: include: Anatomical model construction module: Obtain the original DICOM data of the patient's head and face CT or MRI, and generate a 3D virtual anatomical model including the trigeminal ganglion, foramen ovale, and surrounding vascular and neural structures through a 3D reconstruction algorithm; Spatial registration module: Through the built-in spatial mapping sensor of the mixed reality glasses, a 1:1 mapping relationship between the virtual 3D model coordinate system and the real physical space is established, achieving accurate superposition of the holographic image and the patient's actual anatomical structure; Dynamic tracking module: uses real-time visual-inertial odometry calculation method based on feature points to continuously track changes in the patient's head position and dynamically adjust the holographic projection position to maintain registration accuracy; Puncture path planning module: Based on the 3D virtual anatomical model, the optimal puncture path, including the needle insertion point position, angle and depth, is automatically calculated through artificial intelligence algorithms; Navigation guidance module: projects the planned optimal puncture path into the mixed reality field of view in real time to form visual guidance information; Puncture verification module: During the puncture process, the position of the puncture needle is monitored in real time through a micro electromagnetic sensor, and deviation analysis is performed with the planned path; Feedback adjustment module: When the puncture deviation exceeds the preset threshold, it automatically generates path correction suggestions and updates the navigation guidance information; Surgical record module: fully records key parameters and imaging data during the puncture process, suitable for postoperative analysis and teaching.

2. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The anatomical model building module includes: DICOM data processing unit: performs denoising, enhancement and standardization preprocessing on the original medical image data, and calculates the image signal-to-noise ratio using the following formula: ； in is the mean value of the effective signal of the image, is the noise standard deviation; Structural segmentation unit: uses deep learning algorithms to automatically identify and segment the trigeminal ganglion, foramen ovale, blood vessels, and surrounding key anatomical structures; 3D reconstruction unit: converts the segmented 2D slice data into a 3D mesh model through the Marching Cubes algorithm; Material rendering unit: Assigns differentiated color and transparency properties to different anatomical structures to enhance visualization effects.

3. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The registration process of the spatial registration module includes: Affix no less than four QR code marking points with unique coding patterns on the patient's face; Obtain the spatial position information of the markers through the depth camera of the mixed reality glasses; Calculate the transformation matrix between the actual space coordinate system composed of the marker points and the coordinate system of the corresponding marker points in the virtual model; The iterative closest point algorithm was applied to optimize the registration accuracy, so that the registration error was controlled within 0.5 mm.

4. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The working process of the dynamic tracking module includes: Establish a sensor fusion framework based on extended Kalman filter to integrate visual feature points, inertial measurement unit and depth sensor data; Calculate the head's 6-DOF posture changes in real time and update the virtual model projection matrix; When marker occlusion is detected, it automatically switches to the visual inertial odometry mode based on skeletal features; The pose verification is performed every 100ms, and the re-registration process is triggered when the cumulative error exceeds 1mm.

5. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The path calculation method of the puncture path planning module includes: A multi-objective optimization function was established based on anatomical constraints, and the following path optimization evaluation formula was used: ； Where L is the path length, is the contact area between the pathway and the blood vessel, is the angle adjustment amount, 、 、 is the weight coefficient and ; Genetic algorithm is used to search for Pareto optimal solution set in solution space; The weight coefficient is set based on the doctor's experience, and the most suitable clinical path is selected from the optimal solution set; Generate a three-dimensional tubular model of the puncture channel including a safety boundary.

6. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The guidance information of the navigation guidance module includes: Real-time overlay display of semi-transparent anatomical holographic images; Dynamically updated optimal puncture path tubular channel; Indication of the spatial deviation between the current puncture needle position and the planned path; Warning signs of dangerous areas of key anatomical structures; Real-time numerical display of remaining puncture depth.

7. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The puncture verification module includes: A 9-axis MEMS inertial measurement unit integrated into the proximal end of the puncture needle; A low-frequency electromagnetic field generator placed in the surgical area; A tiny electromagnetic sensor array implanted at the tip of the puncture needle; 6-DOF pose solution algorithm based on sensor fusion; Augmented reality display interface for real-time visualization of deviation vectors.

8. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The working logic of the feedback regulation module includes: Set the radial deviation threshold to 1mm and the angular deviation threshold to 3 degrees; When the deviation exceeds the threshold value in real-time monitoring, the minimum correction vector is automatically calculated; Generate step-by-step adjustment instructions including correction angle and depth; Graded alarms are triggered based on the severity of the deviation, including visual prompts, vibration feedback, and sound alarms.

9. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: The data recorded by the operation record module includes: A complete time-stamped video of the surgical procedure; 3D scene snapshots and annotations of key steps; The complete spatial coordinate sequence of the puncture needle trajectory; All system alarm events and processing records; Deviation analysis report of the final puncture position and the planned target.

10. The trigeminal ganglion puncture dynamic tracking and positioning system based on mixed reality according to claim 1, characterized in that: Also includes: Cloud collaboration module: supports multi-expert remote real-time consultation, allowing authorized doctors to view and annotate surgical scenes; Machine learning module: Continuously collects surgical data to optimize the path planning algorithm and establish a personalized puncture strategy library; Simulation training module: provides a virtual surgical training environment based on the same technology; Device integration interface: supports seamless connection with DSA, ultrasound and other imaging devices.

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