19 results about "Wisdom tooth" patented technology

The invention relates to the technical field of medical image processing and artificial intelligence diagnosis, in particular to an oral and maxillofacial surgery image recognition and diagnosis method and system based on deep learning, and the method comprises the following steps: multi-modal image collection and cooperative preprocessing: collecting an oral and maxillofacial surgery CBCT image, a cone beam CT curved surface tomography image, an oral endoscope image and an ultrasonic image, a standardized multi-modal image data set is obtained through inter-modal registration and an adaptive enhancement algorithm; according to the method, a traditional diagnosis framework of'single-mode image + manual film reading 'is broken through, and a three-order diagnosis logic of'multi-mode image cooperative enhancement-cross-scale feature dynamic fusion-focus typing and risk hierarchical linkage' is innovatively provided; and accurate identification, typing and malignant transformation risk prediction of common oral and maxillofacial surgery diseases (such as jaw cyst, wisdom tooth impediment, temporomandibular joint disorder and maxillofacial tumor) are realized.

The present application relates to the technical field of dental root image processing, and particularly relates to an intelligent detection method for bone density change caused by dental root absorption area of impacted wisdom tooth. The present application constructs a coordinate system of images under different angles, obtains a gray weighted value of each pixel point in the images under each angle according to actual source image distances of the images under different angles and position distribution of preset anatomical structures, obtains a bone density change rate of each position pixel point in combination with displacement change amounts and gradient features of registered pixel points between the images under different angles, obtains a high risk degree threshold value of bone density change according to bone density change rate distribution of all position pixel points, and obtains a high risk area of bone density change of each image according to the bone density change rate of each position pixel point on each image and the high risk degree threshold value of bone density change. The present application improves the accuracy of bone density change detection by accurately analyzing the bone density change area.

This invention relates to the field of oral image analysis technology, specifically to a method for assisting in the identification of impacted teeth based on three-dimensional oral images. The method filters edge pixels in oral CT images to obtain enhanced images based on the degree of grayscale variation of these pixels and the shape, edge clarity, and grayscale distribution of their respective analysis areas. Then, based on the shape and tilt differences between the enhanced sagittal CT image and other tooth regions of the wisdom tooth in the three-dimensional oral model, the area of ​​the corresponding tooth region in the enhanced axial CT image, and the distance between adjacent tooth regions in the enhanced coronal CT image, the impacted wisdom tooth in the three-dimensional oral model is determined. This invention effectively improves the accuracy of impacted wisdom tooth identification.

The utility model relates to the technical field of medical instruments, in particular to a drag hook for impacted wisdom teeth, which comprises a handle part, a first connecting part and a first working part which are smoothly connected in sequence, the first working part is L-shaped, and the first working part and the first connecting part form a Z shape; the bent position of the first working part is a spherical protrusion, and the end, away from the handle part, of the first working part is of a shovel-shaped structure. The included angle of the joint of the first working part and the first connecting part and the field angle of the first working part are obtuse angles. The first working part is L-shaped, and forms a Z shape with the first connecting part, so that the retractor is located at the optimal working position, and more surgical visual fields can be exposed; the bending part of the working part is arranged to be the spherical bulge, and the spherical bulge can push away and effectively block the buccal fat pad, so that the phenomenon that tissues of the buccal fat pad are drawn in by a cutting rotary head of a power system is prevented, the occurrence of extra trauma, bleeding and other complications can be effectively avoided, and the safety of an operation is improved.

1. Name of the product in this design: Wisdom Tooth Removal Clamping Forceps. 2. Purpose of this design: For wisdom tooth extraction. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The top view is already shown in perspective view 2, so it is omitted; the bottom view is already shown in perspective view 1, so it is omitted.

The utility model relates to a wisdom tooth demonstration teaching aid, which belongs to the technical field of oral cavity education and comprises an oral cavity model and wisdom teeth, a dynamic adjusting mechanism is arranged between the oral cavity model and the wisdom teeth, and the dynamic adjusting mechanism comprises a postmolar model inserted into the inner side surface of the oral cavity model. According to the wisdom tooth demonstration teaching aid, by rotating the adjusting threaded rod, the limiting moving plate can be driven to slide in the first slot, the second slot, the third slot and the fourth slot, so that wisdom teeth are driven to move at different positions, and different growth states of the wisdom teeth in an oral cavity are simulated; the positions of the first slot, the second slot, the third slot and the fourth slot respectively correspond to different types of wisdom tooth growth states such as distal impaction, vertical impaction, mesial impaction and horizontal impaction, so that the wisdom tooth demonstration teaching aid can display various growth conditions of wisdom teeth, diversified teaching requirements are met, and the display effect is greatly improved.

The invention discloses an augmented reality oral surgery-oriented endoscope and CBCT image automatic registration method and system based on deep learning, and relates to the technical field of oral surgery augmented reality surgical navigation and image fusion. According to the method, the cross-modal multi-level features are extracted through the double-branch neural network system, the improved SuperPoint, Transform architecture, a GAT model and a multi-level optimization algorithm are combined, full-automatic and high-precision registration without manual marking is achieved, and stable pose constraints are provided for augmented reality registration; registration translation and rotation errors respectively reach sub-millimeter and sub-degree levels, the anti-interference robustness is high, a preoperative CBCT three-dimensional model and a key anatomical structure can be registered and superposed in an intra-operative endoscope view in an augmented reality mode, the anatomical structure visualization and nerve protection capability in oral operations such as impacted wisdom tooth extraction is remarkably improved, and the method is suitable for popularization and application. And the system can also be expanded to laparoscopes, arthroscopes and other endoscopes for augmented reality operation scenes.

The utility model discloses an intraoral gingival flap minimally invasive incision retractor, which relates to the field of medical instruments, and is characterized in that two parallel clamping arms are arranged, the two clamping arms are respectively connected to one end of an elastic sheet, and a cantilever with a wing part is connected with one of the two clamping arms. The cantilever is close to the opened gingival flap, and the wing part is used for blocking the gingival flap to prevent the gingival flap from rebounding. After the intraoral gingival flap minimally invasive incision retractor is installed, the gingival flap can be automatically prevented from rebounding, the gingival flap can be kept in an open state, continuous operation of a surgeon or an assistant is not needed, and operation difficulty can be reduced.

This invention discloses an automated oral medication applicator, relating to the field of oral medication technology. It includes a shell, an internal medication storage box, a connecting cylinder connected to one side of the storage box, a flexible tube threaded onto the inner surface of the connecting cylinder, and a pipe connected to the output end of the flexible tube. An internal conveying component is also included, with its input end connected to the pipe and its output end connected to an output pipe. A conduit is threaded onto the output end of the output pipe. This automated oral medication applicator utilizes a visual system comprised of a miniature camera, a supplemental light, and a display screen to avoid limited visibility within the oral cavity. Even hidden lesions such as those in the throat or behind wisdom teeth can be clearly seen. Users can perform precise positioning under visual guidance. Combined with a flexible and shapeable conduit, this ensures the applicator head accurately reaches the lesion, effectively preventing medication from being applied to healthy tissue due to hand tremors or poor visibility, thereby improving the targeting and effectiveness of drug treatment.

1. The name of the design product: lingual gingival protector. 2. The use of the design product: protect the lingual gingival of wisdom tooth when extracting the impacted wisdom tooth of the mandible. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. The design product is a thin product, and the top view and bottom view are omitted.

The application discloses a protective structure for wisdom tooth extraction, which comprises a protective baffle, a first fixing part and a second fixing part. The protective baffle is arc-shaped. The first fixing part and the second fixing part are respectively arranged at two ends of the protective baffle. The first fixing part is suitable for connecting the gum at the back of the wisdom tooth, and the second fixing part is suitable for connecting any tooth. The protective structure can be stably and reliably fixed in the oral cavity, isolates the tooth extraction operation area from other parts in the oral cavity, limits the movement range of the tongue, avoids the tongue from extending into the operation area, thereby significantly reduces the risk of the tongue being injured by mistake in the operation, and provides effective protection for the tongue and surrounding tissues. Meanwhile, the protective structure can effectively block the oral mucus from entering the operation area, and provides a safer operation environment for the patient.

The invention relates to the technical field of tooth root image processing, in particular to an intelligent detection method for bone mineral density change of a tooth root absorption area caused by impacted wisdom teeth. The method comprises the following steps: constructing a coordinate system of an image at different angles, and obtaining a gray scale weighted value of each pixel point in the image at each angle according to an actual source image distance of the image at different angles and position distribution of a preset anatomical structure; the bone mineral density change rate of each position pixel point is obtained by combining the displacement variation and gradient characteristics of the registration pixel points between the images at different angles; according to the bone mineral density change rate distribution of all the position pixel points, a bone mineral density change high-risk degree threshold value is obtained; and according to the bone mineral density change rate of each position pixel point on each image and a bone mineral density change high-risk degree threshold value, obtaining a bone mineral density change high-risk area of each image. By accurately analyzing the bone mineral density change area, the accuracy of bone mineral density change detection is improved.

The invention discloses a multi-model coordinated wisdom tooth key point detection system and device, and relates to the field of visual recognition. The method comprises the following steps: acquiring a curved surface sectional image through an image acquisition module; identifying wisdom teeth through an instance segmentation model in the object identification module and outputting segmentation masks; cutting a wisdom tooth region image based on the segmentation mask through an image preprocessing module, and fusing a gray-scale image of the region image with a binary image of the segmentation mask to generate a multi-channel feature image; and processing the multi-channel feature map through a key point detection module, and outputting a key point coordinate of the wisdom tooth. Through multi-model cooperation and multi-modal feature fusion, the precision and robustness of wisdom tooth key point detection are effectively improved, the model complexity is reduced, and good expandability and clinical practicability are achieved.

The application discloses a kind of based on real virtual constraint environment and biomechanics analysis's impacted wisdom tooth minimally invasive extraction intelligent surgical planning method and system, belong to oral medical computer-aided surgery technical field, including: obtaining the oral cavity data of patient oral cavity maxillofacial part, and utilize deep learning model to carry out automatic segmentation to oral cavity data, generate oral cavity maxillofacial three-dimensional model;Anatomical constraint parameters are extracted based on oral cavity maxillofacial three-dimensional model;Based on anatomical constraint parameters and operating space constraint parameters, the optimal global tooth extraction strategy is determined by strategy decision model;According to the global tooth extraction strategy, path planning is carried out, and the optimal extraction path for the whole or each tooth body segment after tooth is divided is generated;The optimal extraction path is converted into robot executable operation instruction sequence.Through three-dimensional modeling, anatomical constraint extraction, strategy decision and path planning, the intelligent surgical planning of impacted wisdom tooth minimally invasive extraction is realized.

This invention discloses a tool kit for extracting horizontally impacted wisdom teeth, belonging to the field of medical device technology, to solve the problem of difficult wisdom tooth extraction in the prior art. The tool kit for extracting horizontally impacted wisdom teeth includes a connecting pin (1), a support base (2), and a dental elevator (3). The connecting pin (1) can be connected and fixed to the impacted wisdom tooth (6), and the support base (2) can be matched and connected to the buccal alveolar bone surface (7). The dental elevator (3) can rotate away from the impacted wisdom tooth (6) under the action of power, with the support base (2) as the fulcrum. During the rotation, the tool kit for extracting horizontally impacted wisdom teeth can conveniently and quickly extract the wisdom tooth through the lever principle, reducing clinical operation time and patient pain.

The invention discloses a molar long axis included angle automatic measurement system and device, relates to the field of machine learning, and is suitable for contour recognition of a second molar and a wisdom tooth, key anatomical point detection and automatic measurement of a tooth center axis included angle. Aiming at the problems of strong subjectivity, low efficiency and insufficient quantification precision of current clinical subjective analysis and poor robustness and incomplete feature utilization of an existing deep learning scheme, the system comprises four layers of image standardization, target recognition, parameter calculation and result output, wherein the image standardization layer is used for preprocessing an image through denoising, enhancing and zooming to adapt to a model; the target identification layer realizes tooth positioning and key point detection by means of YOLOv8-pose; the parameter calculation layer fits a tooth center axis through anatomical correction and calculates an included angle; and the result output layer realizes visual annotation and structured report output. According to the method, the low-quality image detection robustness is improved, the implementation cost is reduced, the included angle measurement precision is ensured, and a quantitative basis is provided for wisdom tooth impacted risk assessment, orthodontic treatment planning and oral surgery preoperative analysis.

This invention discloses a virtual-real fusion method and apparatus based on multi-scale registration, relating to the fields of computer vision and 3D object pose estimation. It enables precise registration of real-time endoscopic images with CBCT 3D models, providing anatomical visualization navigation for impacted wisdom tooth extraction and reducing the risk of nerve damage. This method requires no feature point detection and matching, has low texture requirements, and is suitable for scenarios where endoscopic images lack rich texture. Multi-scale optimization strategies and adaptive regularization mechanisms improve optimization efficiency and stability, while trajectory consistency detection and correction mechanisms enhance the system's robustness.

The application discloses a method and system for analyzing and simulating the extraction resistance of impacted wisdom teeth based on CBCT and AI segmentation, which is suitable for the scene of intelligent analysis of the extraction resistance of impacted wisdom teeth and preoperative path simulation. The method evaluates the risk by automatically measuring the minimum space distance between the tooth root apex and the dental nerve canal of the wisdom tooth to be extracted. The method selects the resistance removal strategy by performing three-dimensional mechanical analysis on the resistance of adjacent teeth, bone quality and tooth root of the wisdom tooth to be extracted. The method plans the simulation path of wisdom tooth extraction based on the risk assessment results and the resistance removal strategy. The application analyzes complex impacted wisdom teeth for the first time, realizes the risk assessment and three-dimensional mechanical analysis related to the operation, and can model, risk assess and analyze the extraction resistance of impacted wisdom teeth, especially the high-risk situation of impacted mandibular wisdom teeth with adjacent nerve canal, complex tooth root morphology and various resistance sources, to reflect the extraction difficulty, resistance source and intraoperative risk point, and meet the clinical use requirements.

This invention discloses a WTNet pediatric mandibular wisdom tooth germ segmentation network architecture method, mainly comprising an input enhancement module with a region feature enhancement module and a bone feature separation module. Independent scale-specific feature fusion modules are provided in the tooth segmentation branch and the bone segmentation branch of the bone feature separation module, respectively. For an input and its corresponding ground truth label, the input is first fed into the input enhancement module to generate a mask and supervised using the ground truth label; then, the input and mask are fed into the region feature enhancement module to obtain enhanced input; in the bone feature separation module, the enhanced input is fed into the scale-specific feature fusion modules of the tooth segmentation branch and the bone segmentation branch respectively after passing through a shared encoder, and then fed into the decoders of the two branches. The tooth and bone ground truth labels are used to complete the supervision of the two branches respectively, obtaining tooth segmentation masks and bone segmentation masks. The two masks are fused to obtain the final segmentation result.