52 results about "Dental region" patented technology

The invention relates to a tooth health primary screening method and device based on image recognition, equipment and a medium. The method comprises the following steps: based on acquired tooth multi-source image data, carrying out image preprocessing on the tooth multi-source image data to obtain preprocessed tooth image data; extracting multi-scale tooth features from the preprocessed tooth image data to obtain tooth feature map data; performing multi-feature fusion processing on the tooth feature map data to obtain fused tooth feature data; on the basis of the fused tooth feature data, combining a preset tooth anatomical structure template, performing feature region division and mapping to obtain tooth region feature data; performing health condition analysis on the tooth region feature data to obtain tooth health condition data; and generating a tooth health screening result according to the tooth health condition data. By adopting the method, multi-modal information can be fully mined, and the comprehensiveness and accuracy of preliminary screening are improved.

The invention relates to a dental plaque detection method and system based on ultraviolet image analysis. The method comprises the following steps: acquiring an RGB image of dental plaque; converting the RGB image into an HSV image; performing tooth region identification, single tooth segmentation and single tooth contour cutting on the HSV image in sequence to obtain each single tooth ROI pixel and a total tooth ROI pixel; extracting a red fluorescence characteristic region from the HSV image, and calculating to obtain a red fluorescence region pixel and a red fluorescence average brightness value; the dental plaque severity score is calculated according to the total tooth ROI pixel, the red fluorescence region pixel and the red fluorescence average brightness value, the severity of the dental plaque is quantified, a user can know the tooth health state more clearly, and then oral health is maintained. The change of the score value is beneficial to motivating the user to continuously monitor the dental plaque condition, so that the user can conveniently manage oral hygiene and health more finely, and the user experience is improved.

The toothbrush according to the invention is designed to be elastic and reversibly deflectable in the area of ​​the finger groove (Fm). If the maximum permissible cleaning force on the teeth and gums is exceeded, small but perceptible movements occur between the individual transverse ribs (Qs) in the area of ​​the finger groove (Fm). These movements are easily felt by the user's fingers resting on them, thus allowing the cleaning force to be constantly monitored, controlled, and limited. Furthermore, due to the coordinated design of the transverse ribs (Qs) (essentially in the form of an irregular truncated pyramid) and the essentially trough-shaped transverse recesses (Qa), there is no risk of pinching or chafing of the skin of the fingers, even when the recommended cleaning force is significantly exceeded.and wherein the surface and volumetric contact between all features in the area of ​​the finger groove (Fm) and the fingers resting thereon is consistently / permanently good, comfortable, stable, non-slip and secure, regardless of which specific tooth area in which specific quadrant of the dentition is being brushed or cleaned. The toothbrush according to the invention, in particular a mechanical manual toothbrush, can be manufactured to a high standard and routinely using both single-component and multi-component technologies (with the exception of bristles).

The invention relates to the technical field of dental digitization, and discloses a three-dimensional tooth model construction method, device, equipment and medium, and the method comprises the steps: obtaining a multi-frame oral cavity fringe pattern and an oral cavity color image, and carrying out fringe enhancement processing on the multi-frame oral cavity fringe pattern to obtain a multi-frame fringe enhancement pattern; extracting a stripe center point coordinate, and obtaining a code value of the stripe enhancement graph; performing mask area analysis on the oral cavity color image and the code value by using the segmentation model to obtain a tooth area mask; obtaining a target stripe center point coordinate and a target code value through data screening; performing data encapsulation on the target stripe center point coordinate, the target code value and the oral cavity scene color image, and sending oral cavity encapsulation data to a cloud node; performing real-time point cloud reconstruction based on the oral cavity encapsulation data to obtain three-dimensional point cloud data corresponding to the teeth of the target user; and performing point cloud optimization on the three-dimensional point cloud data to obtain a three-dimensional tooth model of the target user. According to the invention, the efficiency of constructing the three-dimensional tooth model can be improved.

The invention relates to the technical field of dental crown data processing, and discloses a dental crown feature point extraction method, device and equipment and a medium, and the method comprises the steps: obtaining dental jaw point cloud data of a target patient, carrying out the point cloud grid reconstruction of the dental jaw point cloud data, and generating a three-dimensional dental crown digital model; performing dental region segmentation on the three-dimensional dental crown digital model to obtain an independent dental crown model of each tooth, and constructing a local coordinate system corresponding to the independent dental crown model; performing spatial registration on the independent dental crown model according to the local coordinate system to obtain a target dental crown model, and extracting an initial dental crown feature matrix according to the target dental crown model; performing adaptive sampling on the initial dental crown feature matrix to obtain dental crown sampling vertexes, and performing double-branch offset prediction according to the dental crown sampling vertexes to obtain an offset point cluster; and calculating a point cluster clustering center point of the offset point cluster, and determining a dental crown feature point according to the point cluster clustering center point. According to the method, the extraction efficiency and accuracy of the dental crown feature points can be improved.

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 invention discloses a tooth detection method and device, and relates to the technical field of artificial intelligence and medical health. A specific embodiment of the method comprises the following steps: recognizing face key points according to an obtained to-be-detected image; in response to the fact that the identification result does not meet the preset detection condition, recursively extracting mouth features from the to-be-detected image, and determining a mouth region based on the mouth features; and identifying a tooth area from the mouth area, and performing color detection processing on the tooth area to generate a tooth detection result. According to the embodiment, double mechanisms of face key point detection and the feature classifier are fused, face key point recognition is preferentially carried out, and when the main detection fails, the feature classifier is switched to carry out standby detection, so that the tooth detection efficiency and the accuracy of a detection result are improved, and the user experience is improved.

The invention discloses an array type ultrasonic tooth cleaning device based on pressure-sensitive self-flushing, and relates to the field of ultrasonic tooth cleaning, the device comprises a plurality of pressure-sensitive transduction units and micro-flushing nozzles which are integrated on a flexible base, and an ultrasonic water supply and drainage comprehensive control unit. A user applies pressure to a tooth area through occlusion, and the pressure sensing transduction unit collects pressure data in real time and transmits the pressure data to the ultrasonic water supply and drainage comprehensive control unit. The control unit judges whether a tooth cleaning program is started or not according to preset conditions, once the tooth cleaning program is triggered, power is supplied to the transducers in the corresponding areas, ultrasonic fixed-point cluster cleaning is carried out, meanwhile, the associated micro-flushing nozzles are controlled to carry out collaborative flushing, and sewage in the oral cavity is pumped to an external sewage collection pool in real time. According to the invention, ultrasonic precise cleaning and synchronous water flushing aiming at a specific tooth area are realized in an occlusion pressure automatic triggering manner, and sewage can be discharged in time, so that the tooth cleaning accuracy, convenience and cleaning efficiency are improved.

The application relates to the technical field of image processing, and provides a tooth detection method and device, a terminal device and a readable storage medium, the method comprising the following steps: acquiring a CT image of a patient's oral cavity and preprocessing the CT image to obtain a three-dimensional tooth region image; performing post-processing by using a tooth detection model to obtain a tooth detection result of the patient; wherein the tooth detection model comprises a full-tooth segmenter, a tooth crown and root segmenter and a tooth crown classifier; when the post-processing is performed, the three-dimensional tooth region image is input into the full-tooth segmenter to obtain a full-tooth segmentation result; the full-tooth segmentation result and the CT image are input into the tooth crown and root segmenter to obtain a tooth crown and root segmentation result; and then the tooth crown and root segmentation result and the CT image are input into the tooth crown classifier to obtain a tooth crown classification result. The method can accurately obtain tooth segmentation information and missing tooth position information of the patient, and has high calculation speed.

The present application relates to the technical field of dental digitization, and discloses a three-dimensional tooth model construction method, device, equipment and medium, comprising: acquiring multiple frames of oral stripe images and oral color images, performing stripe enhancement processing on the multiple frames of oral stripe images to obtain multiple frames of stripe enhancement images; extracting stripe center point coordinates and acquiring code values of the stripe enhancement images; performing mask region analysis on the oral color images and the code values by using a segmentation model to obtain a tooth region mask; obtaining target stripe center point coordinates and target code values through data screening; data encapsulating the target stripe center point coordinates, the target code values and the oral scene color images, and sending the oral encapsulated data to a cloud node; performing real-time point cloud reconstruction based on the oral encapsulated data to obtain three-dimensional point cloud data corresponding to the target user's teeth; and performing point cloud optimization on the three-dimensional point cloud data to obtain a three-dimensional tooth model of the target user. The present application can improve the efficiency of three-dimensional tooth model construction.

The application relates to the technical field of oral cavity equipment, and discloses a dental plaque quantitative analysis system, a method and a storage medium. The system comprises a dental plaque observation instrument and an upper computer. The dental plaque observation instrument is used for collecting a two-dimensional fluorescence image of teeth in an oral cavity area of a to-be-measured object. The upper computer is in communication connection with the dental plaque observation instrument. The upper computer is configured to: receive the two-dimensional fluorescence image of teeth sent by the dental plaque observation instrument; perform image segmentation and image depth estimation based on the two-dimensional fluorescence image of teeth, perform three-dimensional reconstruction, and obtain a three-dimensional tooth model containing a plaque area and a tooth area; then calculate the surface area of the plaque area and the surface area of the tooth area respectively, obtain an area ratio of the surface area of the plaque area to the surface area of the tooth area, and take the area ratio as a quantitative analysis result of dental plaque. The application can accurately calculate the area of the plaque area and realize high-precision quantitative detection of dental plaque.

The invention discloses an intelligent labeling method and system based on an oral cavity CBCT image, and belongs to the technical field of oral cavity medical image processing, and the method comprises the steps: obtaining CBCT voxel data of a target tooth region; performing sliding window analysis on the CBCT voxel data to generate a local gray statistical feature of each sliding window; and for each sliding window, constructing a dual-modulation adaptive threshold function comprising a main threshold and an auxiliary threshold based on the local gray statistical characteristics, and carrying out joint judgment on the CBCT voxel data to form a preliminary tooth region. According to the scheme, through cooperative work of the main threshold value and the auxiliary threshold value, the judgment condition is dynamically adjusted in combination with the gray distribution similarity, the gray overlapping areas of the enamel, the dentin, the alveolar bone and other tissues can be effectively distinguished, and the problems that in the prior art, fixed threshold value segmentation is sensitive to local noise and cannot adapt to gray distribution changes are solved; and the accuracy and robustness of tooth region preliminary labeling are obviously improved.

The present application relates to an orthodontic simulation method and apparatus, a device, and a storage medium. The orthodontic simulation method comprises: obtaining a facial model of a target object, and identifying a lip line in the facial model; merging a dental model of the target object with a dental area of the facial model to obtain an orthodontic-ready model, wherein the dental area is an area surrounded by the lip line; calculating a facial midline position of the facial model, and performing orthodontic simulation on the orthodontic-ready model on the basis of the facial midline position to obtain an orthodontic simulation model; and performing facial deformation on the basis of the orthodontic simulation model to generate a facial simulation model, wherein the facial simulation model presents facial changes of the target object during an orthodontic stage. In the method provided by the present application, while performing orthodontic simulation on the basis of tooth movement changes, facial changes caused by dental orthodontics are also simulated, thereby effectively improving user experience.

An image processing method for displaying a tartar region on the basis of an image obtained by imaging teeth and tartar subjected to a fluorescence reaction caused by irradiating the teeth with light of a wavelength band including blue light (S201-S206), in which a natural tooth region among the tooth regions is detected on the basis of the image; detecting a tartar region on the basis of the image (S207); and displaying a tartar region (S105), limited only to a natural tooth region. The image processing method may, for example, detect a first region, which is (i) a region having a luminance value equal to or greater than a preset first threshold value among all pixel regions of the image, and (ii) a region having a luminance value equal to or greater than a preset second threshold value among all pixel regions of the image, and detect a natural tooth region on the basis of the first region during detection of the natural tooth region. Or (ii) a region in which the green pixel value is equal to or greater than a preset second threshold value among all pixel regions of the image.

This application provides a method, apparatus, device, and storage medium for matching and repairing lip movements and speech content in a video, belonging to the field of image processing. It acquires original video data and supplementary text information, performs speech synthesis, generates speech feature parameters, and then generates a lip movement animation sequence synchronized with the speech content. A semantic segmentation model is used for pixel-level recognition of the mouth region, and a physical constraint model is combined to control the tooth region. If the tooth region exceeds the lip contour, dynamic regression adjustment is performed to ensure the naturalness and plausibility of the generated lip movement. Furthermore, the accuracy of tooth region generation is improved through dense cross-layer connections, a feature pyramid structure, specialized skip connections for the tooth region, and a heatmap gating mechanism for key tooth points. A spatial-channel dual attention algorithm is introduced into the decoder to enhance the feature representation of key mouth regions. A tooth region focus loss function is used to optimize the generation results and improve model robustness. A differential physics engine simulates a point mass spring system and adversarial physical constraints to achieve physical plausibility control of key lip points. Finally, the generated lip movement animation is fused with the original video to output the repaired video, significantly improving the consistency and realism of the speech and lip movement in the video.

The invention provides a tooth color recognition method and system based on a deep learning algorithm, a terminal, a medium and a recognition instrument. The method comprises the following steps: collecting tooth images of different angles and different color numbers under natural light illumination; dividing the tooth image into a plurality of tooth areas and extracting colors of middle parts of the tooth areas to make a data set; and inputting the data set into a deep residual network for training to obtain a tooth color recognition model of which the input parameter is the original tooth image and the output parameter is the tooth image marked with the corresponding color number in each tooth area. The method comprises the following steps: making an image data set and training an AI model for identifying tooth colors based on a deep learning algorithm; the trained AI model is embedded into the identification instrument, photographing and tooth colorimetric functions are realized through a button, a color number image after colorimetric can be displayed on a rear-end screen, help is provided for manufacturing a dental restoration, and the product is convenient to use and reliable in efficiency.

The present disclosure relates to a control method of an electric toothbrush, an apparatus, an electronic device, and a storage medium, including: determining real-time monitoring data during a brushing process of a target user based on the electric toothbrush, and transmitting the real-time monitoring data to a base corresponding to the electric toothbrush based on a wireless communication network, wherein the real-time monitoring data is used to reflect a movement condition of a brush head of the electric toothbrush, and the base is configured to place the electric toothbrush and to charge the electric toothbrush; and determining the reminding message displayed on the base according to the real-time monitoring data, wherein the reminding message is used to indicate a cleanliness degree corresponding to each dental region of the target user.

The invention relates to the technical field of oral cavity equipment, and discloses a dental plaque quantitative analysis system and method and a storage medium, the system comprises a dental plaque observer and an upper computer, the dental plaque observer is used for collecting a tooth two-dimensional fluorescence image of an oral cavity area of a to-be-detected object, and the upper computer is in communication connection with the dental plaque observer; the upper computer is configured to receive a tooth two-dimensional fluorescence image sent by the dental plaque observer; carrying out image segmentation and image depth estimation based on the tooth two-dimensional fluorescence image, and carrying out three-dimensional reconstruction to obtain a tooth three-dimensional model containing a plaque area and a tooth area; and respectively calculating the surface area of the plaque area and the surface area of the tooth area, solving the area ratio of the surface area of the plaque area to the surface area of the tooth area, and taking the area ratio as a quantitative analysis result of the dental plaque. According to the method, the area of the plaque region can be accurately calculated, and high-precision quantitative detection of the dental plaque is realized.

The invention discloses an orthodontic tooth arrangement three-dimensional reconstruction method and system based on light field imaging. The orthodontic tooth arrangement three-dimensional reconstruction method comprises the following steps: acquiring light field data of a tooth area; reconstructing a light path according to the light field data to obtain tooth surface light field distribution; extracting tooth geometric features according to the light field distribution, and performing depth estimation on the tooth geometric features to obtain a three-dimensional geometric model; matching the three-dimensional geometric model with the optical data to obtain a tooth optical model; carrying out reality sense verification on the tooth optical model, and judging a digital model passing verification by comparing a rendering result under simulated illumination with an actual tooth appearance; generating a virtual tooth arrangement scene according to the digital model, and dynamically adjusting the virtual tooth arrangement scene to obtain a treatment design scheme; and according to a treatment design scheme, performing simulation evaluation on patient experience parameters, and generating visual feedback by integrating the three-dimensional geometric model and the light field data to obtain a digital orthodontic model. According to the invention, the precision and reality sense of the orthodontic model are improved.

The application relates to the field of intelligent control, and particularly discloses an intelligent toothbrush user identity recognition method, which comprises the following steps: acquiring tooth brushing sequence data of a user according to a plurality of preset tooth regions; acquiring tooth brushing habit data of at least one tooth region according to the tooth brushing sequence data; and recognizing the user identity according to the tooth brushing sequence data and the tooth brushing habit data.The intelligent toothbrush user identity recognition method can effectively distinguish different users by collecting key features in the tooth brushing process of the user.

This toothbrush system comprises: a toothbrush that cares for the inside of the oral cavity; a light source that emits, to a care site including a tooth area, light having a prescribed wavelength with which plaque reacts; an imaging unit that acquires, during brushing by using the toothbrush, a plurality of first RGB images including the care site, and fluorescence and reflected light from the care site; a first image generation unit (72) that generates a plurality of second RGB images by performing, on the plurality of first RGB images, image processing that achromatizes a region of a tooth; a second image generation unit (75) that detects the presence or absence of plaque in the tooth area on the basis of an evaluation image included in the plurality of second RGB images at a timing corresponding to a user operation during brushing, and generates a plaque-highlighted image indicating the presence or absence of plaque in the tooth area; and an output unit (for example, a display unit (76)) that outputs the plaque-highlighted image.

My new design relates to a graphical user interface (GUI). The circular area displayed on the GUI includes four sub-areas corresponding to each area of ​​the user's dentition. Here, black, as shown in Figures 2.1-2.3, indicates that the corresponding area shows a first color and that the user has not yet started cleaning the corresponding area of ​​the teeth, or that the user has finished cleaning the corresponding area but the cleaning does not meet the requirements. White, as shown in Figure 2.3, indicates that the corresponding area shows a second color having a different hue from the first color and that the user has completed cleaning the corresponding area of ​​the teeth. The diagonal lines, as shown in Figure 2.2, provide a visual distinction from the other areas and indicate that the user is cleaning the corresponding area of ​​the teeth. The GUI shown in Figure 2.1 indicates that the user turns on the electric toothbrush and starts brushing their teeth, while the GUI shown in Figure 2.2 indicates that the user is cleaning the teeth corresponding to the upper right area. The GUI shown in Figure 2.3 indicates that the user has completed cleaning the teeth corresponding to the upper right area. 2.1 Front View, 2.2 Transition State Diagram, 2.3 Transition State Diagram

The application provides an oral CBCT image segmentation method based on a MRDUNet model of double-boundary loss, and belongs to the technical field of tooth detection; solves the problem that an image segmentation algorithm in the prior art often has prediction errors when predicting tooth boundaries and tooth and root canal boundary regions, leading to an unsatisfactory segmentation effect; comprises the following steps: coarse segmentation of a tooth segmentation region of interest is performed through ResUNet to obtain a tooth region label file; then, MRDUNet proposed in the application is combined with double-boundary loss to perform double segmentation of teeth and root canals on the labeled region of interest; finally, a plurality of sets of comparative experimental results are discussed and analyzed; the application is applied to oral CBCT image segmentation.

The invention discloses a colorimetric head, a colorimetric device and a colorimetric system. The colorimetric head comprises a supporting part, a functional part, a first camera module and a second camera module, the functional part is connected with the supporting part, a color measuring module is arranged on the functional part, and the color measuring module is provided with an acquisition end for acquiring tooth colors; the first camera module is arranged on the supporting part and / or the functional part, the lens orientation and the acquisition orientation of the acquisition end point to the same direction, and the first camera module is used for shooting images of the acquisition end in contact with teeth. The second camera module is arranged on the supporting part and / or the functional part and is used for shooting a face and / or tooth image. The colorimetric system comprises a terminal and the colorimetric head, the terminal is in communication connection with the colorimetric head, the colorimetric head transmits a colorimetric result and image data to the terminal, the terminal can effectively combine the colorimetric result and the image data with an oral cavity three-dimensional model scanned by the oral cavity digital impression instrument, and automatic labeling of the colorimetric result to a tooth area corresponding to the three-dimensional model is achieved. According to the invention, high-accuracy automatic tooth color matching is realized, and the colorimetric accuracy and efficiency are improved.

The invention relates to the technical field of image processing, and discloses a dental three-dimensional digital model coordinate system analysis method, device, equipment and medium, and the method comprises the steps: obtaining a dental three-dimensional digital model of a target user, calculating an occlusal plane of a dental region in the dental three-dimensional digital model, and extracting a normal vector of the occlusal plane; mapping a single jaw model in the dental three-dimensional digital model into a dental projection depth map according to the occlusal plane and the normal vector; extracting multi-scale depth features of the tooth jaw projection depth map, and performing pooling operation on the multi-scale depth features to obtain a tooth jaw type; performing up-sampling fusion on the multi-scale depth features to generate a two-dimensional key point heat map; calculating a dental region direction vector of a target tooth in the dental three-dimensional digital model according to the dental type and the two-dimensional key point heat map; and determining a dental coordinate system of the dental three-dimensional digital model according to the dental region direction vector, the normal vector and the dental type. And the accuracy of coordinate system analysis of the dental three-dimensional digital model is improved.

The invention provides a method, a device and equipment for matching and repairing a human mouth shape and voice content in a video, and a storage medium, and belongs to the field of image processing, and the method comprises the steps: obtaining original video data and to-be-supplemented text information, carrying out the voice synthesis, generating voice feature parameters, and generating a mouth shape animation sequence synchronized with the voice content. The semantic segmentation model is utilized to perform pixel-level identification on the mouth area, the physical constraint model is combined to control the tooth area, and if the tooth area exceeds the lip contour, dynamic regression adjustment is performed to ensure the naturalness and rationality of the generated mouth shape. Furthermore, through dense cross-layer connection, a feature pyramid structure, tooth region specialized jump connection and a tooth key point heat map gating mechanism, the tooth region generation precision is improved; a space-channel double-attention algorithm is introduced into a decoder, and feature expression of a mouth key area is enhanced; and a tooth region focus loss function is adopted to optimize a generation result, so that the model robustness is improved. And simulating a mass spring system and an antagonistic physical constraint term through a differential physical engine to realize physical rationality control of lip key points. And finally, the generated mouth shape animation is fused with the original video, and the repaired video is output, so that the consistency and reality of the voice and the mouth shape in the video are remarkably improved.

An occlusion alignment method according to the present disclosure includes: extracting at least one tooth area data from upper jaw scan data and lower jaw scan data; and adjusting an occlusion position of the upper jaw scan data and the lower jaw scan data using the at least one tooth area data.

The invention discloses an oral cavity three-dimensional image reconstruction method and system based on low-dose projection data, and belongs to the technical field of oral cavity medical image processing, and the method comprises the steps: obtaining an individualized tooth digital twin model and low-dose projection data of a target tooth region; performing forward projection simulation on the individualized tooth digital twin model, performing pixel-by-pixel residual calculation on the individualized tooth digital twin model and the low-dose projection data, and performing reverse projection mapping on the individualized tooth digital twin model to generate a structure mapping residual field; and performing local sampling and back projection on the low-dose projection data according to the structure mapping residual field to form an iterative projection correction field, and correcting the low-dose projection data according to the iterative projection correction field. According to the scheme, through a dynamic local sampling mechanism guided by a residual field, a key region can be adaptively focused, and through combination with rapid local back projection, the local feature reconstruction precision is remarkably improved while the overall calculation efficiency is kept.