46 results about "Single tooth implant" patented technology

The invention relates to an image processing method which comprises the following steps: acquiring a visible light image, a near-infrared image and a fluorescence image of the same tooth area to obtain a multi-modal image; inputting the multi-modal image into a segmentation network, embedding a space attention module into a jump connection between an encoder and a decoder of the segmentation network, and outputting a binary mask of a tooth area by the segmentation network; extracting contours of a single tooth from the binary mask, and determining a minimum enclosing rectangle and a geometric center of gravity of each contour; distributing FDI tooth position codes for each contour according to the horizontal coordinates of the geometric center of gravity; according to the minimum enclosing rectangle, cutting out a corresponding single tooth image block from the multi-modal image; inputting the single tooth image block into a multi-branch convolutional neural network to obtain a unified feature vector; and inputting the unified feature vector into a full-connection classification network, and outputting probability values corresponding to different categories by the full-connection classification network. The invention also relates to an image processing device, a medium and a computer program product, and a tooth recognition system.

The invention discloses an intraoral scanning data correction method based on dynamic feature weight adjustment. The method comprises the following steps: S1, acquiring initial intraoral scanning data acquired by intraoral scanning equipment; s2, acquiring full oral cavity three-dimensional model data generated by cone beam computed tomography equipment; s3, extracting three-dimensional model information of a single tooth; s4, performing three-dimensional registration on the three-dimensional model information of the single tooth and a corresponding tooth model in the CBCT data based on a dynamic feature weight adjustment algorithm; s5, generating a full oral cavity correction model; s6, using a physical model generated by warehouse scanning as a verification standard; and S7, outputting the corrected full oral cavity three-dimensional model. According to the method, the problems of precision and consistency in oral three-dimensional scanning data are solved, the precision of the corrected whole oral model is remarkably improved, and the method has high practicability and clinical application value.

The invention discloses a tooth instance segmentation method and device based on anatomic form priori, and belongs to the field of computer vision and artificial intelligence. According to the method, model training is carried out on a CBCT image, a real segmentation mask is processed into a three-classification segmentation mask with enamel as a boundary, the three-classification segmentation mask serves as a supervision signal, a network can directly output a prediction segmentation mask containing tooth boundary information in a reasoning stage, and a detection frame is generated accordingly. And after the detection frame is scaled according to the same proportionality coefficient and projected back to the original image, cutting each tooth to obtain a CBCT image of the single tooth. A loss function based on anatomical morphological prior is introduced into segmentation training of a single tooth CBCT image, and a network is constrained through a self-adaptively extracted morphological skeleton, so that a prediction segmentation mask is kept continuous at a root tip part, and the problem of tooth root segmentation fracture is effectively relieved. According to the method, accurate positioning and high-quality segmentation of the tooth instances are realized, so that the segmentation of the tooth instances in the full-mouth CBCT image is quicker and more accurate.

Embodiments of the present invention provide a method, system, devices and software which provide customized, clinically relevant designs, e.g. treatment plans / solutions for at least single tooth replacement therapy in real-time as needed to enable immediate confirmation of the validity and execution of patient-specific treatment solutions.A Machine Learning algorithm is used in a method or system for computer implementation of automatic restoration design. The restoration design includes the design of restorative elements such as crowns and abutments. Software is provided for carrying out the methods when executed on a digital processor. Manufacturing of the restorative elements is also included.

The invention discloses an IOS image and CBCT image registration method based on particle swarm and single-tooth optimization, and belongs to the field of image data processing, and the method comprises the following steps: respectively obtaining tooth semantic segmentation results and point cloud data of an IOS image and a CBCT image through preprocessing and segmentation steps; introducing a particle swarm optimization algorithm, and performing iterative search and optimization on six-degree-of-freedom rigid transformation parameters between the IOS image data and the CBCT image data so as to complete global initial registration of the dental arch scale; and on the basis of a result after global registration, a registration object is divided into a plurality of local units based on a single tooth, and local iteration alignment is performed on each unit, so that tiny dislocation on the single tooth is eliminated, and the overall registration effect is optimized. According to the method, on the basis of processing cross-modal difference and realizing global registration, the registration precision of a single tooth level is further ensured through a local optimization mechanism, and reliable automatic registration support is provided for clinical scenes such as orthodontics and implantation.

The invention provides a PTv3-based intelligent automatic tooth arrangement method and device, and the method comprises the steps: collecting three-dimensional tooth point cloud data after orthodontic treatment, carrying out the noise filtering, outlier removal and triangular meshing processing of the point cloud data, and separating a single tooth model through a deep learning segmentation network; carrying out principal component analysis and principal axis alignment on the segmented tooth model, calculating curvature characteristics in combination with normal covariance, and dynamically allocating voxel retention density by adopting a curvature-driven gradient voxel downsampling strategy; generating data pairs before and after simulation orthodontics, and constructing an orthodontics database in combination with displacement direction probability constraint and an adjacent tooth collision punishment mechanism; a PTv3-based double-branch network architecture is constructed as an intelligent automatic tooth arrangement network model, a multi-objective loss function fusing geometric errors, collision constraints and clinical prior is set, and the model is trained through weighted optimization; and inputting the preprocessed tooth point cloud into the trained model, outputting spatial transformation parameters and generating a final arrangement result.

This invention relates to the interdisciplinary field of medical image analysis and artificial intelligence, and particularly to a method, device, and medium for detecting non-occlusal abnormalities based on oral images. The method first acquires oral images and determines their abnormality category: a first abnormality (dependent on the characteristics of a single tooth) or a second abnormality (dependent on the spatial relationships between multiple teeth). Based on the category determination, an adaptive differential detection process is executed: if it is a first abnormality, a two-stage process of tooth position detection and single-tooth recognition is used to output a detection result associated with a precise FDI number; if it is a second abnormality, an end-to-end target detection model directly outputs the abnormality type and location region; if it is a mixed category, the two processes are executed in parallel and the results are intelligently integrated. This invention achieves automated, precise, and structured detection of non-occlusal diseases.

This invention belongs to the field of medical image processing technology and proposes a method for 3D tooth point cloud segmentation and tooth type recognition based on deep learning. The main scheme is as follows: acquire 3D tooth point cloud data, construct a 3D tooth point cloud dataset and perform data preprocessing; construct a 3D tooth point cloud semantic segmentation network and determine the loss function, and train the 3D tooth point cloud semantic segmentation network based on the loss function; use the trained 3D tooth point cloud semantic segmentation network to perform point-by-point semantic prediction on the point cloud of the tooth row to be tested, and obtain the point-level category probability distribution; perform multi-level probability smoothing and interpolation recovery on the point-level category probability distribution to improve the spatial continuity of the prediction results and restore the original point cloud resolution; perform density-adaptive connectivity analysis and denoising processing on the restored point cloud segmentation results to extract single tooth instances; and use instance-level category statistics for each single tooth instance to determine the final semantic category, thereby realizing tooth type recognition.

An automated method for aligning a 3D single tooth model to 3D oral scan data includes determining an oral scan landmark and a teeth curve formed by teeth in the 3D oral scan data, determining a margin line of a target tooth in the 3D oral scan data and a region of interest in the 3D oral scan data, determining first to third axes of the 3D oral scan data in the region of interest based on the oral scan landmark, determining a single tooth landmark of the 3D single tooth model, determining fourth to sixth axes of the 3D single tooth model based on the single tooth landmark and aligning the 3D single tooth model to the 3D oral scan data such that the fourth to sixth axes of the 3D single tooth model respectively overlap the first to third axes of the 3D oral scan data.

The present invention relates to an image processing method, comprising: acquiring a visible light image, a near-infrared image, and a fluorescence image of the same tooth region to obtain a multimodal image; inputting the multimodal image into a segmentation network, wherein a spatial attention module is embedded in the skip connection between the encoder and decoder of the segmentation network, and the segmentation network outputs a binary mask of the tooth region; extracting the contours of individual teeth from the binary mask, determining the minimum bounding rectangle and geometric center of gravity of each contour; assigning an FDI tooth position code to each contour based on the horizontal coordinate of the geometric center of gravity; cropping the corresponding individual tooth image block from the multimodal image based on the minimum bounding rectangle; inputting the individual tooth image block into a multi-branch convolutional neural network to obtain a unified feature vector; inputting the unified feature vector into a fully connected classification network, which outputs probability values ​​corresponding to different categories. The present invention also relates to image processing devices, media, computer program products, and tooth recognition systems.

The invention relates to a manufacturing method of an integrated post core based on a single tooth impression, the integrated post core and a post core system, and relates to the technical field of dental post core repair. By adopting the method, the problems of poor positioning and poor adaptability of the integrated pile core can be solved. The method comprises the following steps: preparing a tooth body of a diseased tooth according to the requirement of full-crown repair, and preparing a root canal pile way of the diseased tooth by using a reamer; performing single tooth impression on the diseased tooth to obtain a diseased tooth post nuclear impression, scanning the diseased tooth post nuclear impression to obtain a digital single tooth impression, and then performing intraoral dentition scanning on the patient; according to a digital single tooth impression and an intraoral dentition scanning result, performing digital design and processing and manufacturing of an integrated post core to obtain an initial integrated post core; and performing model try-on and adjustment on the initial integrated pile core to obtain a target integrated pile core, and performing clinical try-on and bonding on the target integrated pile core.

This invention discloses a method for registering IOS and CBCT images based on particle swarm optimization and single-tooth optimization, belonging to the field of image data processing. The method includes the following steps: Preprocessing and segmentation steps are used to obtain the semantic segmentation results of teeth from IOS and CBCT images, as well as point cloud data; a particle swarm optimization algorithm is introduced to iteratively search and optimize the six-degree-of-freedom rigid transformation parameters between the IOS and CBCT image data, thereby completing the initial global registration at the dental arch scale; using the globally registered result as a basis, the registration object is divided into multiple local units based on a single tooth, and local iterative alignment is performed on each unit to eliminate minor misalignments on individual teeth and optimize the overall registration effect. This invention, based on handling cross-modal differences and achieving global registration, further ensures registration accuracy at the single-tooth level through a local optimization mechanism, providing reliable automated registration support for clinical scenarios such as orthodontics and implantology.

The present invention discloses a method, device, electronic device, and storage medium for segmenting a single tooth. The method of the present invention obtains a CBCT image to be identified and preprocesses the CBCT image; uses a first segmentation model to analyze the preprocessed CBCT image to obtain a tooth mask; extracts a tooth region of interest from the CBCT image based on the tooth mask; uses a second segmentation model to analyze the tooth region of interest to obtain a heat map of different single teeth; extracts the centroid coordinates of each of the single teeth based on the heat map; uses the centroid coordinates as a marker, performs watershed segmentation processing on the tooth mask based on the marker, and obtains a segmented image of each of the single teeth. The present invention uses a two-stage segmentation method, which effectively avoids misclassification between adjacent teeth compared to direct segmentation of single tooth instances. The segmentation effect of single teeth is better and can be widely used in the field of image processing technology.

The invention relates to a three-dimensional tooth model local coordinate system prediction method. The method comprises the following steps: S1, acquiring a three-dimensional digital model of a single tooth; s2, sampling a single three-dimensional tooth to obtain a three-dimensional point set of the tooth model; s3, predicting a three-dimensional vertex by using the trained deep learning model; s4, fitting a linear vector and generating a local coordinate system vector; s5, carrying out vector cross multiplication operation on the x vector and the z vector so as to construct a y vector of the tooth local coordinate system; and S6, carrying out cross multiplication on the y vector and the z vector to obtain a new x vector, and completing the construction of the tooth local coordinate system. According to the method, the local coordinate system of the teeth can be automatically and accurately generated, the digital processing precision in the fields of tooth restoration, orthodontic treatment and the like is improved, meanwhile, the time for making and implementing a treatment plan is shortened, and the working efficiency is improved. Manual rule setting is not needed, the limitation of a traditional algorithm is avoided, and the processing capacity of a complex tooth model is improved.

The application provides a tooth segmentation method and device in an image. The method comprises the following steps: acquiring a plurality of cross-sectional images of teeth, and determining a connected domain of each cross-sectional image; if a target connected domain of a current cross-sectional image comprises pixels of a plurality of connected domains of a previous cross-sectional image, it is determined that the target connected domain appears bifurcation intersection; performing corrosion processing on the target connected domain to obtain a final cross-sectional image; and performing tooth segmentation processing based on the final cross-sectional image. In this way, the problem of tooth data adhesion in single tooth positioning can be solved by judging whether the connected domain appears bifurcation intersection, and the accuracy of tooth segmentation and positioning is improved.

The invention relates to the technical field of medical treatment, in particular to a bismuth tungstate transparent composite piezoelectric material tooth socket which comprises a piezoelectric energy collector and a tooth socket structure. The piezoelectric energy collector comprises a piezoelectric energy collector body and a polyurethane film layer; the piezoelectric energy collector body comprises a first ITO / PET material electrode layer, a second ITO / PET material electrode layer and a piezoelectric material layer; the piezoelectric material layer is prepared by compounding inorganic bismuth tungstate with an organic PDMS material, and is arranged between the first ITO / PET material electrode layer and the second ITO / PET material electrode layer; the polyurethane film layer serves as a packaging material, and the piezoelectric energy collector body is wrapped in the polyurethane film layer. The tooth socket structure comprises a tooth socket structure corresponding to a single tooth or a plurality of teeth; a piezoelectric energy collector is arranged in the direction, corresponding to the tooth occlusal surface, of any one or more tooth socket structures according to requirements. The use cost is reduced, and large-scale production is easy.

The application discloses a force couple orthodontic accessory, a personalized fixed appliance, a tooth correction system, a design method of the force couple orthodontic accessory and a design method of the tooth correction system. The force couple orthodontic accessory comprises a bottom plate, an accessory body and a force couple structure, the bottom plate is used for being bonded with a labial buccal surface of a tooth, the accessory body is provided with an arch wire accommodating cavity, and the force couple structure is arranged in the arch wire accommodating cavity and comprises protrusions and / or grooves which are symmetrically arranged on both sides of the channel and are used for cooperating with partial bending structures of an arch wire to form a force couple for a single tooth. The personalized fixed appliance comprises a plurality of force couple orthodontic accessories and a personalized arch wire, the arch wire is provided with partial bending structures corresponding to positions of teeth to be corrected, and a preset force couple is formed after loading. The force couple orthodontic accessory, the personalized fixed appliance and the tooth correction system provided by the application realize accurate force couple control of a single tooth and improve correction precision and a personalized degree.

The application relates to a gum edge line generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a single tooth edge line to obtain a tooth gum edge line; calculating a gum contour line according to the tooth gum edge line, and calculating a gum edge line according to the gum contour line; and updating the gum edge line according to a tooth displacement data table to obtain an updated gum edge line. The method can automatically cut a tooth corrector, improve the production efficiency of the tooth corrector and reduce the production cost. Meanwhile, the application improves the precision of gum edge cutting of the tooth corrector, so that the gum is not damaged when a user wears the tooth corrector, and the comfort of the user wearing the tooth corrector is improved.

The invention relates to the field of intelligent medical treatment, in particular to a surgical planning method and device for autogenous tooth transplantation and a program product. The method includes acquiring tooth images of a patient; the tooth image is segmented to obtain single tooth images, the single tooth images comprise acceptor teeth and N donor teeth, and N is a natural number larger than 1; performing three-dimensional reconstruction based on the image of the single tooth to obtain a three-dimensional single tooth; calculating the forms of the three-dimensional acceptor teeth and the three-dimensional donor teeth, and performing registration to obtain registered acceptor teeth; the registered acceptor teeth are subjected to angle and direction adjustment through virtual transplantation to obtain the planned angle and direction, the method is used for assisting autologous tooth transplantation, the operation difficulty is lowered, the operation time is shortened, and good clinical value is achieved.

This invention discloses a tooth segmentation method for intraoral scan images based on semantic coordination and dual-space representation, relating to the fields of medical image processing and computer vision. The method includes: downsampling the original intraoral scan image; adaptively semantically coordinating the geometric properties of the Euclidean space of the intraoral scan image, focusing on the relationship between spatial and semantic features in the real spatial dimension; learning the structural features and rotation invariance of the intraoral scan image through a spatial-semantic graph learning module; and inputting the learned representation into segmentation for prediction, segmenting individual teeth and gingiva in the intraoral scan image. This invention effectively addresses the rotation invariance of intraoral scan images and improves segmentation accuracy.

The present invention provides an intelligent surgical planning method and system for autologous tooth transplantation, relating to the field of image processing technology. The method comprises: obtaining a CBCT image of a tooth to be operated on; segmenting each individual tooth in the CBCT image using a 3D UX‑Net network; segmenting the upper and lower jaws in the CBCT image using a SegResNet network; determining various feasible transplantation surgical planning schemes for transplanting an alternative donor tooth to a recipient tooth using principal component analysis based on the segmentation results of the individual teeth and the jaw; and determining the optimal transplantation surgical planning scheme based on the crown overlap rate, root overlap rate, and amount of bone grinding between the recipient and donor teeth in various transplantation surgical planning schemes. The method achieves precise segmentation of individual teeth and the upper and lower jaws; effectively controls the amount of bone grinding and optimizes the matching between the donor and donor teeth, thereby improving the surgical success rate and postoperative comfort.

The utility model relates to the field of retainers, in particular to a Harley retainer capable of being disassembled and assembled repeatedly. According to the Harley retainer, a steel wire is transversely arranged in an anterior tooth area and is not easy to disassemble, the daily life comfort of a patient is easily influenced, and the overall using effect is reduced. According to the technical scheme, the Harley retainer capable of being repeatedly disassembled and assembled comprises an installation module, a sleeve tooth adjusting module and a retainer module; correction and adjustment can be carried out according to the size of a gypsum tooth model so that the gypsum tooth model can be better matched with a single tooth model, internal and external dual protection can be formed by utilizing an external insertion base and an internal insertion base, flexible supporting protection is formed by a first flexible film and a second flexible film, the oral cavity is prevented from being broken, the daily life comfort of a patient is greatly improved, and the patient is prevented from being damaged. And the steel wire is stored through the reinforcing rod sleeve, reinforcing protection is formed, and the overall using effect is improved.

The application provides a tooth digital model posture deviation calculation method, system, scoring method and terminal, the calculation method comprises the following steps: selecting a single tooth model in a tooth digital model, establishing a local coordinate system on the single tooth model, and obtaining feature points of the single tooth model in the local coordinate system; a global coordinate system is established according to the tooth digital model, the feature points are converted from the local coordinate system to the global coordinate system, and first feature points in the global coordinate system are obtained; the points with a distance less than a first threshold value from the first feature points are taken as tooth arch corresponding points on a tooth arch curve of the tooth digital model, a tooth arch coordinate system is established by taking the tangent direction, the normal direction and the jaw plane direction of the tooth arch corresponding points as three axes; model posture parameters are calculated according to the first feature points, the tooth arch corresponding points and the tooth arch coordinate system, and a posture result of the tooth digital model is calculated according to the model posture parameters, and the calculation method effectively improves the processing efficiency and accuracy of the posture result calculation of the tooth digital model.

The present application relates to a kind of orthodontic process monitoring methods based on dentition three-dimensional model prediction in the technical field of orthodontics, comprising the following steps: a kind of orthodontic process monitoring methods based on dentition three-dimensional model prediction, characterized by comprising the following steps: S1, obtain the three-dimensional dental model data of T n Moment and segmentation processing, output the mask and corresponding tooth number of single tooth in three-dimensional dental model;S2, obtain the two-dimensional image data of N teeth of T n+m Moment and segmentation processing, output the mask and corresponding tooth number of single tooth of two-dimensional tooth;S3, reference point detection: including by immovable tooth prediction and manual marking;S4, camera pose estimation: S5, tooth pose estimation: S6, dentition three-dimensional reconstruction.The present application realizes the accurate estimation, monitoring of moving tooth in orthodontic treatment process by the prediction of dentition three-dimensional model at different time in orthodontic process, can effectively assist orthodontic scheme to smoothly carry out.

The application discloses a structure of a fence type indirect bonding guide plate with a removable cover, a manufacturing method and application, and belongs to the technical field of oral fixed orthodontics. The application obtains a three-dimensional data model by scanning, adopts a guide plate design software, determines the bracket position of each tooth on the three-dimensional data model, designs an element for positioning the single-tooth bracket position, specifically designs the structure of the removable cover, single-axis movement and the breakable horizontal fence of the element, copies the element on each tooth position on the three-dimensional data model, connects the elements of each tooth position through a connecting piece, completes the design of the indirect bonding guide plate, and adopts 3D printing to manufacture the finished product. The indirect bonding guide plate has the advantages of easy positioning, no undercut, easy removal of the excess bonding agent, and difficulty in removing the bracket when dislocation, and is a global oral field exploration topic and a future development direction of oral diagnosis and treatment, represents the top level of modern digital medical technology, and makes oral fixed orthodontic treatment more scientific, accurate and convenient.

The application discloses a tooth segmentation method, a tooth surface data acquisition method, a storage medium and an oral CT device. The tooth segmentation method comprises the following steps: acquiring an oral CT image to be segmented; positioning a whole tooth region in the oral CT image to be segmented by using a first neural network which is pre-trained; positioning a single tooth region of a preset range in the whole tooth region by using a second neural network which is pre-trained; and performing mask segmentation on the single tooth region by using a third neural network which is pre-trained, so as to obtain tooth data of a corresponding tooth. Therefore, the tooth segmentation method can realize effective and accurate segmentation of teeth in the oral CT image.

The application relates to a method for manufacturing an expander and a hidden orthodontic device, and relates to the technical field of oral orthodontics. A single-tooth digital dental model is obtained based on a digital dental model, and a vertical height of a top of a palate and a bite plane is obtained based on the single-tooth digital dental model, a connecting position of the expander and the device is determined, a digital expander model is obtained based on a software method, the obtained digital expander model has strong technical universality, does not need to excessively depend on personal experience, and the manufactured expander is more comfortable to wear.

This invention provides a method for tooth image segmentation, a storage medium, and an electronic device. The method includes the following steps: S1: acquiring a dental model image; S2: inputting the dental model image into a trained first neural network, outputting vector information corresponding to the feature points of the teeth in the dental model image; S3: performing cluster analysis on all the vector information, filtering out several vector information sets, and determining the corresponding tooth center point coordinates based on the vector information in each set; S4: segmenting the dental model image based on the coordinates of each tooth center point to obtain a segmented tooth image. This solution, by first obtaining the vector information corresponding to the feature points on the teeth, then performing cluster analysis based on all the vector information to obtain the center point coordinates of each tooth in the dental model image, and finally completing the identification and segmentation of a single tooth based on the center point coordinates, can effectively improve the accuracy of tooth image segmentation.

Embodiments of the present invention provide a method, system, devices and software which provide customized, clinically relevant designs, e.g. treatment plans / solutions for at least single tooth replacement therapy in real-time as needed to enable immediate confirmation of the validity and execution of patient-specific treatment solutions. A Machine Learning algorithm is used in a method or system for computer implementation of automatic restoration design. The restoration design includes the design of restorative elements such as crowns and abutments. Software is provided for carrying out the methods when executed on a digital processor. Manufacturing of the restorative elements is also included.

The application discloses a portable full-wrapping caries detection device and system based on multi-modal optics; the device comprises a handheld part for handheld use, a first telescopic part, a second driven part and a third connecting part, a probe head is arranged at the other end of the third connecting part, a driven sliding ring capable of slidingly adjusting a position is inlaid at the inner side of the probe head, a plurality of detection parts for detecting teeth are uniformly arranged at the inner side of the driven sliding ring; the application discloses a full-wrapping detection configuration which is constructed by arranging a C-shaped or U-shaped probe head and a driven sliding ring capable of rotating at the inner side of the probe head, and the traditional single-shaft rigid straight handle probe is abandoned; when the probe is clamped, the plurality of detection parts distributed at the inner side of the driven sliding ring can simultaneously form a "three-surface synchronous" wrapping of a single tooth from the occlusal surface, the buccal side and the lingual side, three-dimensional dead angle-free detection is realized, and the detection rate of early interproximal caries is greatly improved.