23 results about "Teeth counted" patented technology

Embodiments of the present application relate to the field of digital processing, and disclose a display method and device of a hard palate appliance, an electronic device and a storage medium. The display method of the hard palate appliance in the present application comprises: obtaining information of a digital dental model, the information of the digital dental model at least including a maxillary tooth grid, a hard palate grid and a bite direction in tooth data of a case; calculating control points of teeth with preset numbers in the maxillary tooth grid; obtaining a grid model of a lower surface according to the control points and the hard palate grid; obtaining a grid model of an upper surface according to the grid model of the lower surface and the bite direction; generating a display model of the hard palate appliance according to the grid model of the lower surface and the grid model of the upper surface; and displaying the display model of the hard palate appliance. In the embodiments of the present application, the morphological characteristics of the hard palate appliance can be displayed.

The invention relates to a method for determining an internal structure (30) of an artificial tooth (24). The method includes acquiring outer shell data describing an outer shell (28) of the artificial tooth (24). First reference geometry information is also defined or acquired. This information describes a first reference geometry (B1) that divides the outer shell (28) of the artificial tooth (24) into a first shell portion (28a) and a second shell portion (28b). Furthermore, a first compressive strain shell (32) is produced by virtual compressive strain on the first shell portion (28a) in one direction with respect to the first reference geometry (B1). At least one sub-volume (34, 36) of the artificial tooth (24) is also derived, said sub-volume being delimited by the first compressive strain shell layer (32). The invention also relates to a method for producing an artificial tooth (24) having a predetermined shell layer (28). The invention also relates to an artificial tooth (24), a data processing device, a computer program and a computer readable medium.

The invention relates to the technical field of oral medical treatment, in particular to a periodontal examination automatic auxiliary diagnosis method based on oral cone beam CT image and oral scanning data registration, which comprises the following steps: collecting a CBCT image and intraoral scanning data of a patient, analyzing the CBCT image to extract tooth data volume, dental crown cutting end characteristics, coordinates and periodontal information, and identifying enamel and alveolar bone boundary; analyzing oral scanning data to extract dental crown incisal end features and a gingival margin line; cBCT and mouth scanning data are integrated, and after registration, the bag depth, retraction and attachment loss are calculated through measuring points; and displaying the periodontal measurement result in the periodontal reading system and generating a report. According to the method, the boundary lines are intersected with the six measuring surfaces to calculate key points of periodontal examination, namely the enamel boundary point, the alveolar bone boundary point and the gingival margin boundary point, and the bag depth, retraction and adhesion loss are calculated, so that full-automatic generation of periodontal examination results is realized; and in combination with a CBCT film reading tool, the periodontal disease condition is visually displayed and audited, so that manual audit and doctor-patient communication are facilitated.

The embodiment of the invention relates to the technical field of digital design of medical instruments, and discloses an Angler classification automatic identification method, electronic equipment and a medium, the identification method comprises the following steps automatically executed by the electronic equipment: identifying characteristic parameters of characteristic teeth of upper and lower jaws of a patient from tooth data of the patient, the tooth data comprises at least part of rear teeth on the single side in an occlusion state, and the characteristic teeth belong to the part of rear teeth; according to the characteristic parameters, the relative position relation of the maxillary characteristic teeth and the mandibular characteristic teeth in the mesiodistal middle direction is determined; wherein the tooth data is a two-dimensional picture and / or a three-dimensional dental model; and according to the relative position relationship, determining Ansheng classification corresponding to the teeth of the patient, so that automatic identification of Ansheng classification is performed on the teeth of the patient, and doctors or professionals are helped to perform more accurate judgment.

The present disclosure relates to a data processing method and a data processing device. The data processing method, according to the present disclosure, comprises: generating, based on tooth data, a first arch line which is a spline curve in contact with contours of a plurality of teeth constituting the tooth data; generating, from the first arch line, a second arch line that is different from the first arch line; and moving a target tooth, which is to be moved, among the tooth data toward the second arch line according to an input signal of a user.

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.

A technique that allows a dentist to accurately grasp movement of individual teeth tooth. A data processing device processes three-dimensional data of teeth. The data processing device includes an input unit to which the three-dimensional data including a bone of a part of a head and a plurality of teeth captured by an X-ray CT imaging device is input, a data processor that performs data processing based on the three-dimensional data input to the input unit, and an output unit that outputs the three-dimensional data processed by the data processor to an external device. The three-dimensional data further includes position information and is segmented into the bone of the part of the head and the plurality of teeth. The data processor compares the three-dimensional data captured at different timings based on a reference provided on at least the bone of the part of the head.

A computer-implemented method for detecting tooth cracks on a digital 3D model (501) of a dental condition is disclosed. The method comprises: receiving a digital 3D model of a dental condition (501); an input (301, 401) of a trained neural network (300, 400) for tooth crack detection is generated, where the input (301, 401) comprises at least a portion of a digital 3D model (501) with associated color information. The method further comprises detecting a tooth crack (100) on the at least a portion of the digital 3D model (501) by applying a trained neural network (300, 400) to the generated input (301, 401). Furthermore, the method comprises determining a severity of the detected tooth crack (100) based on fluorescence information relating to the at least part of the digital 3D model (501), and displaying the at least part of the digital 3D model (501), the detected tooth crack (100), and the severity of the detected tooth crack (100).

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 disclosure relates to a computer-assisted dental restoration system (102) configured to estimate a crown pose and represent a virtual crown in a three-dimensional model (110). The system obtains a three-dimensional model (110) of a patient's teeth, segments the three-dimensional model to obtain segmented tooth data, and generates an encoded three-dimensional model representation suitable for being processed by a trained neural network (112). A method of generating an encoded three-dimensional model representation includes downsampling a point cloud (404) representation based on segmented tooth data, determining a surface normal representation for each point, retrieving a dental marker for a repair site, encoding each point with a corresponding surface normal representation and a value associated with the repair site to produce an encoded three-dimensional model representation, and generating a three-dimensional model representation based on the encoded three-dimensional model representation. The encoded three-dimensional model representation is input into a trained neural network and an output is generated using the trained neural network, where the output includes a prediction of translation of each point in the encoded three-dimensional model representation to correspond to the crown pose.

A computer-implemented method for detecting tooth cracks on a digital 3D model of a dental situation includes receiving the digital 3D model of the dental situation, generating an input for a trained neural network for tooth crack detection, wherein the input includes at least a part of the digital 3D model with associated color information. The method further includes detecting a tooth crack on the at least part of the digital 3D model by applying the trained neural network to the generated input. Further, the method includes determining a severity level of the detected tooth crack based on fluorescence information associated with the at least part of the digital 3D model and displaying the at least part of the digital 3D model, the detected tooth crack and the severity level of the detected tooth crack.

The embodiment of the invention provides a method and a device for determining a relationship between teeth. The method comprises the following steps: acquiring a three-dimensional tooth digital model of a patient in at least one correction stage or acquired from the patient; according to the three-dimensional tooth digital model, tooth feature information of at least one tooth is determined, and the tooth feature information is used for representing spatial features of the tooth; according to the tooth feature information of the first tooth, a datum line of the first tooth and an auxiliary line corresponding to the datum line are determined, and the datum line and the auxiliary line form at least one divided area; the first tooth is one tooth in the three-dimensional digital model; according to the reference line and the auxiliary line corresponding to the reference line, determining a tooth surface region corresponding to the same divided region from the tooth feature information; the tooth surface area is used for determining the inter-tooth relation between the first tooth and other teeth. By more accurately determining the reference line and the auxiliary line, the corresponding tooth surface region is determined from the tooth feature information, so that the relationship between teeth can be more accurately determined subsequently according to the tooth surface region.

The invention discloses an orthodontic path planning method based on deep reinforcement learning, and the method comprises the steps: modeling an orthodontic path planning problem as a Markov Decision Process (MDP), and solving the MDP by adopting an improved Deep Description Policy Grade (DDPG) algorithm. According to the technical scheme, the method comprises the following steps: processing a high-dimensional environment state (including information such as current and target postures of teeth) and an action (translating or rotating the teeth) space by adopting an Actor-Critic structure based on a Transform, and modeling a complex relationship between the teeth; a dynamic action mask mechanism is introduced into the Actor network to restrain the number of teeth moving in a single step so as to generate sparse actions meeting the clinical orthodontic law; and a two-stage curriculum learning strategy is adopted to realize training process optimization from loose constraint to strict constraint. According to the method, the safe, smooth and efficient tooth movement path can be automatically generated, and the intelligent level of clinical orthodontic planning can be improved.

Embodiments of the present invention provide a method and apparatus for determining an interdental relationship. The method comprises: acquiring a three-dimensional tooth digital model of a patient from at least one orthodontic stage or collected from the patient; determining, according to the three-dimensional tooth digital model, tooth feature information of at least one tooth, the tooth feature information being used for representing a spatial feature of the tooth; determining, according to tooth feature information of a first tooth, a reference line of the first tooth and an auxiliary line corresponding to the reference line, the reference line and the auxiliary line forming at least one division region, and the first tooth being one tooth in the three-dimensional digital model; and determining, according to the reference line and the auxiliary line corresponding to the reference line, a corresponding tooth surface region located in the same division region from the tooth feature information, the tooth surface region being configured to determine an interdental relationship between the first tooth and other teeth. By means of more accurately determining the reference line and the auxiliary line, the corresponding tooth surface region is determined from the tooth feature information, thereby facilitating subsequent accurate determination of the interdental relationship according to the tooth surface region.

A camshaft tone wheel, system, and method are provided for determining a rotational position of an internal combustion engine. Sensors detect unique features positioned around the camshaft tone wheel in conjunction with a tooth count on a crankshaft tone wheel, or in conjunction with elapsed time for passage of the unique features during rotation of the camshaft tone wheel, to resolve engine position and enable accurately timed combustion.

Proposed concepts thus aim to provide schemes, solutions, concepts, designs, methods, and systems pertaining to assessing performance of an oral health care routine. In particular, embodiments propose to utilise data from one or more sensors to detect specific dental features (e.g. particularly interproximal (IP) spaces between teeth). Such sensors may include pressure sensors, inertial measurement units (IMUs), or optical sensors, each capable of identifying patterns created by dental features. By analysing the data from such sensors, embodiments may, for example, effectively count the number of teeth scanned and assess the completeness of the performance of an oral health care routine.

The invention relates to the technical field of orthodontic digital design, and discloses a method and electronic equipment for identifying a tooth FA point and an accessory pasting position and confirming a tooth torque angle, and the method for identifying the tooth FA point comprises the following steps: obtaining a three-dimensional tooth jaw digital model which comprises a series of three-dimensional tooth digital models; constructing a first section of each three-dimensional tooth digital model, wherein the first section of the reference point of the pasting surface is a plane which passes through the tooth center and is perpendicular to the tooth mesial and distal axis of the reference point of the pasting surface; calculating the FACC axis of a certain three-dimensional tooth digital model; the method comprises the following steps: intersecting a reference point first cross section of a pasting surface with a reference point three-dimensional tooth digital model of the pasting surface to obtain an intersecting line; selecting one section of the dental crown part on the lip-cheek side surface on the datum point intersecting line of the pasting surface as the FACC axis of the tooth; and selecting the midpoint on the axis of the datum point FACC of the pasting surface as the tooth FA point. The calculation is simple and convenient, and the obtained position of the FA point is accurate, so that the reference data in the digital design is more accurate.

The application provides a tooth recognition and classification method, an electronic device and a storage medium. The tooth recognition and classification method first samples segmented tooth data and pre-processes each sampling point to obtain spatial three-dimensional coordinates of sampling points corresponding to all teeth; then, for each tooth, according to a tooth region where the current tooth is located and the spatial three-dimensional coordinates of the sampling points corresponding to the current tooth, all sampling points belonging to the current tooth are cropped to obtain a cropped block corresponding to the current tooth; next, a preset tooth category query vector and all cropped blocks are input into a trained tooth category recognition model to obtain a preliminary recognition result of tooth categories of all teeth; finally, the preliminary recognition result of the tooth categories is post-processed by a bipartite graph matching method to obtain a final recognition result of tooth categories of all teeth. The application realizes automatic recognition of tooth categories, has high recognition accuracy and good generalization.

A method for determining orthodontic brackets in order to use standard brackets or a combination of standard and custom brackets. The method determines which teeth in a digital 3D model of teeth have surfaces that will virtually fit to a base of a standard bracket within a tolerance. For those teeth that will virtually fit to one of the standard brackets, each of the teeth are associated with the corresponding standard bracket for later placement of the brackets on the surfaces of the patient's teeth. The method also identifies the teeth in the digital 3D model of teeth that will not virtually fit to a standard bracket, and brackets with custom bases can be designed and made for those teeth.

The present application relates to the field of oral medical technology, in particular to a periodontal examination automatic auxiliary diagnosis method based on oral cone beam CT image and mouth scanning data registration, comprising collecting patient CBCT image and intraoral scanning data, analyzing CBCT image to extract tooth data body, tooth crown cut end feature, coordinates and periodontal information, identifying enamel and alveolar bone boundary; analyzing mouth scanning data to extract tooth crown cut end feature and gum line; integrating CBCT and mouth scanning data, calculating pocket depth, recession and attachment loss after registration through measuring points; displaying periodontal measurement results on the periodontal reading system and generating a report. The present application calculates the key points of periodontal examination, enamel boundary points, alveolar bone boundary points and gum line boundary points by respectively intersecting the boundary line with six measurement surfaces, and calculates pocket depth, recession and attachment loss, realizes automatic generation of periodontal examination results, visualizes and audits the condition of periodontal disease by combining CBCT reading tool, and is convenient for manual audit and doctor-patient communication.

The invention relates to the technical field of tooth key point detection, and discloses a tooth key point positioning method and device based on a mouth scanning three-dimensional model, and the method comprises the steps: determining tooth data of a to-be-detected object based on a predetermined mouth scanning three-dimensional model; preprocessing the tooth mesh data of each tooth position through a first type processing module to obtain point cloud data; generating tooth position related data of each tooth position through a second type processing module of the trained key point detection model according to the tooth position number of each tooth position and preset tooth position conversion rule information; and carrying out fusion processing on the point cloud data of each tooth position and the tooth position related data through a third type processing module of the key point detection model so as to detect the key point coordinates of the single tooth corresponding to the tooth position. Therefore, all tooth key points of the to-be-detected object can be detected through one key point detection model, and the key point detection efficiency and detection accuracy can be improved.

This invention discloses a method and apparatus for detecting and identifying alveolar bone defects in maxillary anterior teeth. The method includes: acquiring a target image set, which includes CBCT images of maxillary anterior teeth in both sagittal and coronal sections; performing data augmentation processing on the target image set according to a data augmentation strategy to obtain data augmentation results; the data augmentation processing includes image stitching and data amplification based on a self-learning data augmentation strategy; and performing feature processing on the data augmentation results according to a determined target network model to obtain feature processing results, which include first state information indicating normal alveolar bone or second state information indicating the presence of fenestration and / or cracking in the alveolar bone; wherein the feature processing operations include feature extraction, downsampling, feature fusion, loss calculation, and data prediction. Therefore, implementing this invention can improve the adaptability and accuracy of detecting and identifying small regions of alveolar bone on digital CBCT images of teeth.