160 results about "Dental region" patented technology

The invention relates to a CBCT image tooth segmentation method. The method comprises the following steps: generating a two-dimensional oral cavity panoramic film from a CBCT image; carrying out tooth two-dimensional segmentation and tooth ID classification on the two-dimensional oral cavity panoramic film by adopting a deep learning algorithm; calculating a key point coordinate of a two-dimensional single tooth and mapping the key point coordinate to a three-dimensional CBCT image coordinate; respectively cutting the CBCT image to obtain an area of each tooth; segmenting each three-dimensional tooth region by adopting a deep learning algorithm; and assigning ID to all the tooth segmentation results, and splicing to obtain a three-dimensional tooth segmentation result. According to the method, accurate segmentation of the tooth area in the CBCT image can be realized, complex conditions such as tight tooth arrangement, similar shapes and artifact interference can be effectively handled, the problems of tooth segmentation result fusion, ID confusion and metal artifact interference can be effectively solved, and resource consumption is remarkably reduced by determining the tooth key points on the panoramic film, so that the tooth segmentation efficiency is improved. The overall segmentation efficiency is improved, and the segmentation time is shortened, so that the accuracy of the segmentation result and the processing speed are improved.

The invention provides a digital human image generation method, device and equipment and a readable storage medium, and the method comprises the steps: generating a plurality of frames of intermediate images matched with driving voice data through model driving, and combining a pre-trained tooth generation network with the first K frames of correction images for completing tooth reconstruction of the intermediate images, according to the invention, tooth reconstruction is carried out on the current frame of intermediate image, the tooth area on the intermediate image is masked, and the corrected image corresponding to the intermediate image is fused with the intermediate image according to the masked image, so that the consistency matching of the facial expression on the intermediate image and the lip mouth shape with the driving voice data is ensured, and the user experience is improved. According to the method, the optimization of the tooth area on the intermediate image is realized, so that the teeth of the digital human are more clear and vivid visually and present a natural and reasonable arrangement state, and the overall sense of reality of the digital human is improved.

The invention discloses a monocular video face reconstruction and driving method based on Gaussian splashing and a 3DMM model. The monocular video face reconstruction and driving method comprises the following steps: S1, converting each frame of a face RGB video into an explicit expression face grid based on the 3DMM model; s2, constructing a geometric enhancement module, and carrying out geometric alignment on eye and tooth regions by adopting an improved iterative nearest point algorithm; s3, initializing a 3D Gaussian ball, and driving the dynamic change of the 3D Gaussian ball according to the point change of the face grid under different expressions; s4, based on the characteristics of different face areas, adaptive optimization learning strategy coefficients are distributed; and S5, increasing confidence information for each 3D Gaussian ball, generating a confidence image through rendering, multiplying the confidence image by a rendered image, calculating high-dimensional feature similarity with the input image, and optimizing attribute parameters and rendering effects of the 3D Gaussian balls. According to the method, Gaussian splashing and a 3DMM model are combined, and high-precision reconstruction and driving of a monocular video face are realized.

The invention relates to the technical field of oral X-ray image recognition, in particular to an intelligent oral X-ray film lesion area recognition system based on artificial intelligence. The method comprises the following steps: obtaining gray level change characteristics of each tooth region in an oral X-ray image according to gray level and gradient distribution in each tooth region; obtaining an optimal factor according to the gray change feature similarity between different regions, and further selecting a standard tooth region; obtaining a ray absorption coefficient according to the gray difference of different areas and the difference of the optimal factors; obtaining caries area possibility of the pixel points according to the positions of the pixel points in the tooth area; and the caries area is identified. According to the method, the caries area in the oral X-ray image is accurately segmented, and finally accurate treatment can be carried out on a patient.

The invention provides a desktop digital human interactive studio method based on JavaFX, and the method comprises the steps: scanning the face of a real person through a depth camera, obtaining the three-dimensional shape data of a facial tissue, carrying out the subdivision and marking of the data through the combination of medical anatomical knowledge, and building a digital human face model which comprises the geometric shapes and texture features of lip, tongue and tooth facial tissue structures; establishing a tooth visibility control rule according to the mapping relation between the tongue position and the phoneme in the playing process, and dynamically adjusting the tooth visibility of the digital person in the playing process according to the tooth visibility parameter of the phoneme sequence, so that the tooth visibility change is matched with the characteristics of the real person in the playing process; and tracking the shape and texture features of the lip, tongue and tooth areas of the digital person in the playing process in real time, comparing the shape and texture features with target playing lip shape, tongue position and tooth visibility parameters, dynamically adjusting the parameters of the digital person face model, and performing cooperative control of lip, tongue and teeth in the playing process.

The invention provides a method and device for displaying oral data, computing equipment and a program product. The method comprises the steps that first oral cavity data are obtained, the first oral cavity data comprise three-dimensional data of a dental arch, and the dental arch comprises teeth to be repaired; acquiring second oral cavity data through the intraoral scanner, wherein the second oral cavity data comprises scanning data of the to-be-repaired teeth subjected to tooth preparation processing; identifying tooth regions in the first oral data and the second oral data, and identifying a tooth position of the tooth to be repaired based on a difference between the tooth regions in the first oral data and the second oral data; combining the first oral cavity data and the second oral cavity data based on the identified tooth position of the tooth to be repaired to obtain updated three-dimensional data of the dental arch; and displaying the updated three-dimensional data of the dental arch. In this way, an automated workflow is provided for efficiently generating an oral cavity model containing both a complete dental arch form and a precise tooth preparation form without the need to manually mark a tooth preparation region, thereby improving the accuracy and convenience of oral cavity scanning.

The invention discloses a CBCT image recognition method and system based on tooth calcification, and relates to the technical field of image recognition. Comprising the following steps: acquiring an oral cavity CBCT image; determining a tooth area image according to the oral cavity CBCT image; preprocessing the tooth area image; performing image enhancement on the preprocessed tooth region image to obtain an enhanced tooth region image; extracting edge calcification features of the enhanced tooth region image by using a canny operator; and identifying the extracted edge tooth calcification features through a U-net tooth calcification identification model. According to the method, the Canny operator is adopted to perform feature extraction, and the Canny is improved in a gradient magnitude calculation method, so that the Canny feature detection can be suitable for more scenes.

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 relates to the technical field of color correction, in particular to a baked porcelain false tooth color adjusting method and system based on image analysis, and the method comprises the following steps: identifying teeth, gingiva and surrounding tissues in an image, determining a region boundary by using an edge detection technology, and calibrating a region according to gray difference. According to the method, teeth and surrounding tissues are accurately segmented by using an edge detection technology, accurate identification of a tooth area in an image is realized, a clear starting point is provided for color adjustment, a wave band with high reflectivity is selected, the quality of image data is optimized, the precision of subsequent color analysis is ensured, and hue, brightness and saturation are adjusted in a CIELAB color space; the matching degree of denture colors and natural teeth is improved, the visual coherence is enhanced, neural network analysis and time sequence data are integrated to predict long-term color changes, a real-time feedback mechanism automatically adjusts color parameters according to illumination conditions, the visual effect is continuously optimized, and the naturalness and consistency of colors in different environments are guaranteed.

An extraoral dental X-ray apparatus for imaging of a patient in the dental region including: a radiator array having at least two individual radiators each for emitting X-rays, and offset at least along a predetermined direction (z); and an X-ray detector for at least partially detecting the X-rays emitted by the individual radiators, the radiator array and the X-ray detector being rotatably arranged about an axis parallel to said predetermined direction, further including a control device for separately controlling the individual radiators, the control device being configured such that the emitted X-rays of the at least two individual radiators differ in intensity and / or spectral distribution of the X-rays to effect an intensity and / or spectral distribution which can be varied along the predetermined direction. The control device can adaptively adapt the intensity and / or spectral distribution to the anatomy of the patient.

Methods and apparatuses (including devices and systems, such as intraoral scanners and software) for analyzing images of a subject's teeth. In some examples these methods may include examining the same teeth or tooth regions across different times and / or different imaging modalities, including but not limited to visible light, infrared, florescent, etc. Also described herein are methods and apparatuses for using a single, master, control for automatically or semi-automatically simultaneously adjusting multiple imaging parameters across multiple images of a region taken with different imaging modalities and / or at different times.

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 embodiment of the invention discloses a dental plaque data processing method and device, computer equipment and a storage medium. The method comprises the steps that a target oral cavity is scanned through a target scanning scheme, a target oral cavity image is obtained, the target oral cavity image is a first oral cavity image or a second oral cavity image, the first oral cavity image is an oral cavity image in which miscellaneous data is removed and a dental plaque staining area is reserved, and the second oral cavity image is a second oral cavity image; the second oral cavity image comprises a first sub-oral cavity image obtained before dyeing and a second sub-oral cavity image obtained after dyeing; a target oral cavity three-dimensional model is constructed according to the target oral cavity image, the target oral cavity three-dimensional model comprises a tooth area and a gingival area, and the tooth area comprises a dental plaque dyeing area and an undyed area. By implementing the method provided by the embodiment of the invention, the construction of the oral cavity three-dimensional model in the oral cavity dental plaque scanning scene can be realized, and the construction efficiency is improved.

Methods and apparatuses (including devices and systems, such as intraoral scanners and software) for analyzing images of a subject's teeth. In some examples these methods may include examining the same teeth or tooth regions across different times and / or different imaging modalities, including but not limited to visible light, infrared, florescent, etc. Also described herein are methods and apparatuses for using a single, master, control for automatically or semi-automatically simultaneously adjusting multiple imaging parameters across multiple images of a region taken with different imaging modalities and / or at different times.

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 belongs to a tooth deformity quantification method, and provides a three-dimensional tooth jaw model deep coverage deformity quantification method and a related device aiming at the problems that a distance index measurement method for representing an upper and lower jaw coverage relation in an existing three-dimensional tooth jaw model is time-consuming, the measurement precision is difficult to guarantee, and the method excessively depends on subjective judgment of a doctor. Sequentially obtaining a projection point set in the occlusal surface direction of the tooth area, a central point of the projection point set in the occlusal surface direction of each tooth area and a global central point of the tooth model, then calculating a rotation amount based on the data, performing quaternion transformation, obtaining an identification line capable of representing a crest cutting position of each tooth crown, fitting the identification line of each tooth crown, and obtaining a crest cutting position of each tooth crown; the method comprises the following steps: obtaining two tooth crest cutting distribution curves, performing alignment processing on the two tooth crest cutting distribution curves, obtaining a matching point set through resampling, and obtaining a tooth jaw covering horizontal spacing according to the matching point set. The problem of precision loss in a traditional transformation method is effectively avoided, and the precision of tooth pose adjustment is ensured.

The invention relates to a periodontitis recognition system based on periodontal photos, which is mainly used for automatically recognizing periodontitis through the periodontal photos. The system comprises five modules: an image acquisition and preprocessing module, a multi-instance learning model training module, a classification and diagnosis module, a system common user side and a system expert user side. According to the system, through an image processing and target detection technology, firstly, collected periodontal pictures are preprocessed, low-quality pictures are eliminated, and tooth areas are cut out; and then classifying the images by using a multi-instance learning framework in combination with the comparison loss, and identifying the risk level of periodontitis. The user side provides a visual diagnosis result, and the expert side provides more detailed analysis information and suggestions for experts. The periodontitis diagnosis precision can be effectively improved, the clinical workload can be reduced, early-stage automatic identification of periodontitis can be realized, and timely and effective treatment suggestions can be provided for patients.

Methods of manufacturing dental etching templates. A virtual shell having one or more cavities shaped to receive one or more teeth of a virtual dental model of a patient's dentition may be formed. A virtual well may be formed at a position of the virtual shell based on an area on a tooth of the patient's dentition to be etched. Walls that define the virtual well may be shaped to accommodate a volume of a wafer that absorbs a liquid etching material and to accommodate a reservoir that extends beyond the volume of the wafer. The reservoir may be shaped to contain excess liquid etching material from the wafer. A physical etching template may be formed based on the virtual etching template.

The invention belongs to the field of medical information, and particularly relates to an interactive outpatient oral medical record display device and method. The device provided by the invention comprises an image acquisition unit for acquiring an oral cavity image which is a full-mouth tooth position curved surface layer image; a mark acquisition unit that acquires mark information associated with the oral cavity image, the mark information including point-of-interest information and reference arch information; the distance information unit is used for obtaining distance information according to the oral cavity image and the tooth position information; the information drawing unit is used for determining a to-be-rendered tooth area in the canvas according to the mark information, adjusting a tooth model corresponding to the tooth position information in the to-be-rendered tooth area based on the reference dental arch information, determining the interval of the tooth model based on the interval information, and drawing a patch in the tooth model corresponding to the tooth position information, and drawing an attention area patch in the canvas based on a rendering rule corresponding to the attention point information. According to the method, DICOM, STL and JPG images can be analyzed, and images suitable for medical record display are generated.

The invention relates to the technical field of image data processing, in particular to a decayed tooth visual identification method and system for oral implantation, and the method comprises the steps: screening out a target tooth region from an obtained root tip piece to be identified, carrying out gray distribution analysis processing and brightness analysis processing on a preset neighborhood corresponding to each pixel point in each target tooth region; screening out a suspected caries lesion region; drawing a target central axis of a target tooth area to which each suspected caries area belongs, determining a vertical line of the target central axis as a target vertical line, translating the target vertical line, and forming an intersection point group by intersection points of the target vertical line translated each time and the edge of the suspected caries area; screening out a suspected medullary cavity point group from the intersection point group set corresponding to each suspected caries lesion region; and screening out the target caries damage region according to all the determined medullary cavity possibilities. According to the invention, image data processing is carried out on the to-be-identified root tip piece, so that the accuracy of identifying the caries lesion region is 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.

One purpose of the present disclosure is to provide a method capable of further conveniently and intuitively providing periodontal data for a dental patient. To this end, a method for generating periodontal data, according to an embodiment of the present disclosure, may comprise the steps of: obtaining intra oral scan (IOS) data for a tooth portion of a patient, 3-dimensional (3D) face data for the face of the patient, including the tooth portion, and CT scan data including the tooth portion of the patient; generating a dental 3D avatar in which the IOS data, the 3D face data, and the CT scan data are matched with each other; and generating periodontal data for the teeth of the patient by using the dental 3D avatar.

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 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.