1147 results about "Oral problems" patented technology

The invention discloses a data processing method and system for a dental three-dimensional model, and relates to the technical field of dental three-dimensional modeling, and the method comprises the steps: obtaining initial data of oral cavity scanning, recognizing a tooth type in the initial data, and determining a corresponding tooth surface reflection parameter according to the tooth type; generating scanning parameter combinations for different tooth positions according to the tooth surface reflection parameters and the tooth anatomical structure; tooth point cloud data are collected, and a tooth enamel reflective area and a shadow shielding area are identified; performing light reflection removal processing on the enamel light reflection area, performing data completion on the shadow shielding area, and generating corrected tooth point cloud data; and performing registration fusion on the corrected tooth point cloud data to generate a dental three-dimensional model containing a complete dentition. According to the method, the problem of data missing caused by enamel light reflection and adjacent tooth shielding is solved through a differential scanning strategy and regional data processing aiming at specific optical characteristics of teeth, and automatic construction of a high-quality dental three-dimensional model is realized.

The invention provides an intelligent toothbrush based on AI visual identification and an oral health assessment method, and relates to the technical field of artificial intelligence and computer vision. The intelligent toothbrush based on AI visual identification and the oral health assessment method comprise the following steps: S1, based on a built-in multispectral camera of the intelligent toothbrush, dynamically adjusting illumination parameters of different oral regions by adopting a visible light and near-infrared bimodal synchronous acquisition algorithm and through a self-adaptive exposure compensation technology, high-resolution images and transmission data of tooth surfaces and gingival lines are obtained, and a multi-mode oral cavity image data set is generated. Illumination parameters are dynamically adjusted through a multispectral camera to obtain high-resolution bimodal data, the focus detection precision is improved in combination with cross-modal feature fusion, the problem that traditional single-modal imaging is insufficient in early-stage dental caries recognition is solved, and the accuracy of early-stage dental caries recognition is improved based on laser radar point cloud complementation and a three-dimensional surface reconstruction technology. And mapping the two-dimensional focus label into a dynamic three-dimensional plaque distribution model.

The invention provides an oral liquid filling parameter optimization method and system, which is applied to the technical field of automatic production, and is characterized in that parameter adjustment is performed by introducing the change rate of filling weight deviation and combining instantaneous deviation, and meanwhile, long-term trend is continuously recorded and basic parameters are corrected; the problems that in the prior art, filling parameter adjustment lags behind, the convergence speed is low, and fluctuation is likely to be generated are effectively solved, and the filling precision and the qualified product rate are remarkably improved.

The invention relates to the technical field of computers, discloses a tooth three-dimensional precision correction method and system based on multi-source oral data fusion, and aims to solve the problems of low registration precision, serious geometric distortion and lack of function oriented optimization of multi-modal oral data in the prior art. The method comprises the following steps: synchronously obtaining intraoral scanning, CBCT and face three-dimensional point cloud data; carrying out format conversion, denoising and grid simplification preprocessing; tooth surface morphology, root canal anatomy and soft tissue contour features are extracted and coded into uniform feature tensors; and multi-modal data space alignment is realized through staged rigid and non-rigid registration. By means of the scheme, the multi-source data fusion precision and the tooth form restoration accuracy are remarkably improved, full-process automatic efficient processing is achieved, and the clinical real-time performance and high-precision diagnosis and treatment requirements are met.

The invention discloses a pronunciation correction data analysis method based on three-dimensional dynamic oral cavity modeling, and relates to the technical field of pronunciation correction, comprising the following steps: performing function fitting on historical reference points to obtain a normal pronunciation function; acquiring a normal pronunciation range based on the normal pronunciation function and the historical reference point; obtaining side views of the tongue part in the three-dimensional oral cavity modeling when the person to be analyzed pronounces and does not pronounce, and respectively marking the side views as a detection pronouncing diagram and a detection non-pronouncing diagram; scaling the detection pronunciation diagram based on the reference size and the detection unpronunciation diagram to obtain a detection correction diagram; judging whether abnormal pronunciation occurs based on the detection correction graph and the normal pronunciation range; the method is used for solving the problem that the accuracy of judging whether the position of the tongue is correct or not during pronunciation is low due to the fact that a method for judging the correct position of the tongue cannot be established through three-dimensional dynamic oral cavity modeling in an existing pronunciation correction technology.

The invention provides a deep learning-based oral cavity image recognition method, a storage medium and a deep learning-based oral cavity image recognition system. The method comprises the steps of deploying a federated learning framework and collecting a multi-modal oral cavity image data set; extracting local features to obtain image features, and generating a modal adaptive weight map; a multi-head self-attention mechanism is used for fusing the cross-modal features to generate a fused feature map, and deconvolution up-sampling is carried out to form high-resolution multi-modal feature representation. A tooth segmentation mask is generated based on this representation, and an initial diagnostic report is generated. And aggregating the attention weight of each client through an encryption protocol, and generating interpretable decision support data. And finally, generating a structured clinical report by using a natural language. According to the method, the Grad-CAM thermodynamic diagram is combined with the encrypted and aggregated attention weight, so that the privacy security is guaranteed, the model interpretability is enhanced, the clinical credibility and the diagnosis decision efficiency are improved, and the problems of insufficient diagnosis precision of complex lesions and insufficient utilization of multi-modal information in the prior art are solved.

The invention provides an abutment tooth selection multi-element analysis method based on improved YOLOv11. Comprising the following steps: preprocessing an original desensitized tooth panoramic x-ray film, constructing and marking a self-made data set, and carrying out target detection and tooth key point detection; in the target detection, a dynamic hybrid convolutional network (Dynamic Inception Mixer) and a small object enhanced pyramid (SOEP) are introduced into an original model, and the feature extraction fusion capability is enhanced; a frequency domain-space attention mechanism (FSA) and a ShapeIoU loss function are integrated, the small target recognition and bounding box regression precision is improved, and a DSF-YOLOv11s-detect model is generated. In key point detection, a high-frequency enhanced residual block (HFERB) and a multi-scale attention mechanism (MSGA) are introduced, so that the positioning accuracy is improved, an SIoU loss function is adopted to enhance the sensitivity to tooth direction features, and an HMS-YOLOv11s-pose model is generated. Experiments show that the improved model is better in recognition and positioning effect. The abutment tooth selection multi-element analysis method integrates two models, solves the problems of low minimal lesion recognition rate and insufficient multi-element comprehensive analysis ability of an original model, and promotes precise and intelligent auxiliary decision making of the dental department.

The invention relates to the technical field of oral liquid bottle cleaning and sterilizing, in particular to an oral liquid filling bottle body cleaning and sterilizing device. Comprising a case, an inner frame is arranged in the case, a motor, an inner gear ring and an outer gear ring are fixedly mounted on the inner frame, an intermittent shaft and a revolution shaft are rotatably mounted on the inner frame, two transmission interruption areas are arranged on the inner frame and correspond to the position between the inner gear ring and the outer gear ring, and a transmission wheel is mounted at the output shaft end of the motor; three fan-shaped tooth sections and three tooth-free arc sections are alternately arranged on the transmission wheel, the central angles of the three fan-shaped tooth sections are gradually increased by 30 degrees in the clockwise direction, and a driven gear meshed and matched with the fan-shaped tooth sections is mounted on the intermittent shaft. The device has the beneficial effects that through precise linkage of the motor, the transmission wheel, the variable-speed shaft, the inner gear ring and the outer gear ring, a stepped dehydration system is constructed, and the problem that stubborn water stains of traditional oral liquid bottle cleaning and sterilizing equipment are difficult to peel off is solved.

The invention discloses a CBCT tooth segmentation method and system based on an anatomical perception cascade network, and the method comprises the steps: a first stage, carrying out the simplified dichotomy segmentation based on an original CBCT image and a coarse segmentation network taking 3D U-Net as a trunk, outputting maxillary and mandibular tooth probability graphs, and taking the maxillary and mandibular tooth probability graphs as prior information to guide the generation of an SDM; in the second stage, the original CBCT image and the calibrated maxillary tooth probability graph and the calibrated mandibular tooth probability graph are spliced together, a formed multi-channel input tensor is input into a fine segmentation network, the fine segmentation network takes Residual U-Net as a trunk, and an improved AGBR module and an improved SDMAA module are integrated in an encoder-decoder architecture of the fine segmentation network; and the decoder fuses all refined and re-calibrated feature maps, and upsamples and reconstructs 42 types of instance segmentation results with correct topology and clear boundaries. According to the method, the problem that in the prior art, when the inherent and local boundary fuzzy defect in CBCT is overcome, an effective pertinence mechanism is lacked is solved, and precise and robust 42-class instance segmentation can be achieved.

The utility model provides a brush head and an electric toothbrush and relates to the technical field of oral cavity cleaning, the brush head comprises a brush head body and a soft rubber piece, the brush head body is provided with a head part and a rod part connected with the head part, the head part is used for fixing bristles, and the rod part is used for being matched with a brush handle assembly; wherein the back face of the head portion is concavely arranged to form a vibration reduction cavity, an elastic supporting piece is arranged in the vibration reduction cavity, the brush head body is sleeved with the soft rubber piece or formed with the soft rubber piece, and the soft rubber piece at least covers the back face of the head portion and completely covers the vibration reduction cavity. The elastic supporting piece is constructed to be at least partially connected with the inner wall of the soft rubber piece in an abutting mode so as to be matched with the soft rubber piece for vibration reduction. Therefore, the problem that an existing brush head coated with soft rubber is poor in vibration reduction effect is solved.

The invention relates to the technical field of medical care, and discloses an intelligent oral sputum suction system based on multi-parameter feedback and a self-adaptive pressure adjusting method.The method comprises the steps that in a pipeline cleaning state, a standard load lookup table of working parameters of a negative pressure pump and pipeline negative pressure is established; in the sputum suction operation process, a first measurement value of the negative pressure of the pipeline and a second measurement value of the working parameters of the negative pressure pump are obtained in real time; according to the first measurement value, determining a corresponding negative pressure pump working parameter from the standard load lookup table as a standard working parameter, and when the second measurement value is higher than the standard working parameter, determining a compensation amount for correcting the first measurement value based on a difference value between the second measurement value and the standard working parameter, compensating the first measurement value according to the compensation amount to obtain a calibration negative pressure value; and if the calibrated negative pressure value exceeds the preset safety negative pressure upper limit, the working parameters of the negative pressure pump are adjusted to reduce the actual negative pressure. The problem of damage caused by inaccurate reading of the sensor in the prior art is effectively solved.

The invention relates to the technical field of artificial intelligence auxiliary medical treatment, and discloses a child tooth trauma intelligent grading and dynamic processing decision auxiliary system. A trauma identification module; an injury condition grading module; a processing suggestion generation module; a prognosis risk dynamic evaluation module; and a man-machine interaction module. The method comprises the following steps: acquiring an image containing child tooth trauma information and clinical data; utilizing a multi-label classification model to identify a trauma type; calculating a comprehensive injury condition score through a hierarchical multi-modal scoring network and determining an injury condition grade; calling a knowledge graph and a rule engine to generate and dynamically correct a processing suggestion; and continuously updating the prognosis risk assessment result based on the time sequence review data. The invention aims to solve the problems of strong evaluation subjectivity and complex decision in the diagnosis and treatment of the tooth trauma of children, provides standardized and intelligent decision assistance for clinic, and realizes closed-loop prognosis management.

The invention discloses a human face mouth shape coordination generation method based on geometric constraints, and relates to the technical field of image generation, and the method comprises the steps: 1, synchronously generating face vertex index tables corresponding to mouth opening and closing spatial form matrixes one by one; 2, based on the facial vertex index table, mapping the lip and gum combined boundary constraint set to a unified coordinate system to form a geometric prior constraint tensor; 3, performing multi-modal topological cascade reversible mixed transformation on the geometric prior constraint tensor to obtain a high-dimensional tooth texture candidate tensor and constraint consistency confidence spectrum; and step 4, using the high-dimensional tooth texture candidate tensor and the constraint consistency confidence spectrum as input, completing anti-aliasing, illumination compensation and gamma correction on a unified rendering pipeline, and finally obtaining a mouth shape coordination synthetic frame sequence. According to the method, the sense of reality, geometric consistency and time sequence coherence of tooth textures in the mouth shape synthesis process are effectively improved, and the problem that lips and teeth are not coordinated in an existing method is solved.

This invention represents a marked improvement in pediatric oral hygiene, especially focusing on the vital early stages of an infant's oral development. Offering a versatile, easy-to-use device from the onset of an infant's life, the present device lays the groundwork for robust oral health, significantly reducing the risk of future dental issues. The unique design, combined with its adaptability and effectiveness in early oral care, makes it an indispensable tool in fostering comprehensive oral hygiene from infancy, thereby contributing to the lifelong dental well-being of individuals.

The invention belongs to the technical field of medical materials, and particularly relates to a tooth whitening composition and a preparation method thereof, the tooth whitening composition comprises the following components by weight: 5%-15% of hydrogen peroxide, 0.5%-1.5% of a gel matrix, 0.2%-1.0% of a thickener, 5%-10% of a humectant, 3%-8% of propylene glycol, 0.05%-0.2% of a chelating agent, 1%-3% of a sweetener, 0.1%-0.5% of sodium fluoride, and the balance of water. Aiming at the problems that an existing tooth whitening product is relatively low in pH value (most of 4.0-5.0), easy to irritate gingiva and sensitive in tooth manufacturing, and the existing tooth whitening product needs to be stored in a dark place at a low temperature and is short in whitening validity period, the pH value of the product is adjusted to 5.5-6.5, so that the product is close to oral saliva, the irritation can be reduced, the stability of the product can be ensured, the product is not easy to decompose, and the tooth whitening effect is good. Active ingredients are prevented from losing efficacy in advance, and the whitening validity period is prolonged.

The invention discloses a duplex adjacent surface forming sheet system, which belongs to the field of oral cavity medical instruments and comprises a first forming sheet and a second forming sheet, the fixing ring is used for clamping the two sides between the first forming piece and the second forming piece which are attached to ensure that the first forming piece and the second forming piece are attached to teeth; a hollow groove is formed in the middle of the second forming sheet, and a positioning connecting structure connected with the second forming sheet is arranged on the first forming sheet; the positioning connecting structure comprises mounting holes which are symmetrically formed in the two sides of the middle of the first forming piece and matched with the two ends of the second forming piece. By means of the design, the two forming pieces can be overlaid at the same time, and perfect wrapping of the adjacent faces of the two teeth and accurate recovery of the contact are achieved. In addition, the gap between the two adjacent faces can be integrally planned through the mode, and many defects caused by respective filling in a traditional mode are overcome, for example, the problems that filling of the other adjacent face hole is hindered due to the fact that one filling body is too large, and food is impacted due to deviation of a contact area are solved.

The invention relates to the technical field of inquiry systems, in particular to an auxiliary inquiry system for oral treatment. Comprising an oral disease knowledge graph construction and inquiry knowledge base establishment module, a patient information acquisition and preprocessing module, an AI guide type inquiry module, a symptom correlation analysis and disease preliminary auxiliary prediction module, an auxiliary inquiry report generation module and a doctor feedback interaction and model iteration optimization module. According to the method, the problems of inaccurate patient description and key symptom omission in traditional inquiry are solved by constructing the oral disease knowledge graph, designing a multi-modal information acquisition and preprocessing process, generating an AI guide type inquiry process, combining the knowledge graph and machine learning to realize preliminary auxiliary disease prediction, and establishing a strict data security mechanism; the integrity and accuracy of symptom information collection are ensured through multi-modal information collection and dynamic guide inquiry.

The invention discloses an oral dispersion liquid composition capable of effectively inhibiting bacteria, and relates to the technical field of nano-emulsion / micro-capsule suspension liquid. Aiming at the problems of transient antibacterial effect, strong irritation and poor dispersibility of the traditional oral care product, the composition is prepared by adopting a nano-emulsion and micro-capsule technology. A bacteriostatic agent (such as nano-silver and thyme volatile oil) is wrapped in urea formaldehyde microcapsules through an interfacial polymerization method, and protection and controlled release of active ingredients are achieved. The nano-emulsion is prepared by compounding Span and Tween emulsifiers, so that high dispersity and permeability are ensured; tea polyphenol is added as an antioxidant, so that the stability is enhanced. The preparation method comprises the steps of nano-emulsion preparation, active ingredient microencapsulation, disperse system construction and sterilization filling, and the particle size D90 of a final product is smaller than or equal to 200 nm. The composition has a lasting antibacterial effect, good stability and safety, and is suitable for oral health maintenance.

The invention relates to a health index monitoring tooth socket and a monitoring method thereof, and the method comprises the steps: collecting an optical signal in an oral cavity in real time through a collection module, and extracting a DC component and an AC component from the optical signal; and evaluating the signal quality of the direct-current component and the alternating-current component according to the standard signal proportion, and obtaining a target direct-current component and a target alternating-current component which meet the standard signal quality. On the basis of the cross correlation between the target direct-current component and the target alternating-current component, the blood oxygen saturation health index is obtained through a piecewise function. Based on the target alternating component, the heart rate health index is obtained through peak value detection. The problem of low monitoring accuracy of a monitoring method for monitoring health indexes in related technologies is solved.

The invention relates to a composition with functions of protecting gingiva and repairing enamel and a preparation method of the composition, and belongs to the technical field of oral care. The composition contains a functional additive, a plant compound fermentation extract and the like, the functional additive is a mixture of corn starch, calcium phosphosilicate, hydroxyapatite, ubiquinone, sodium guaiazulene sulfonate, menthol and vitamin E, and the plant compound fermentation extract is obtained by fermenting and purifying honeysuckle flowers, radix polygonati officinalis and dandelions according to a specific proportion. Through the synergistic effect of the fermentation extract and the functional components, the problems that an existing toothpaste body is hardened, the storage stability is poor, the gingival protecting effect is short, and the enamel repairing persistence is insufficient are solved, the gingival protecting effect can be enhanced, the enamel repairing effect can be improved, the stability of the toothpaste body can be optimized, the antibacterial property and the oral mucosa relieving effect are achieved, and the oral cavity repairing effect is achieved. And the preparation process is scientific and reasonable, and is suitable for daily oral care.

The invention provides an oral ceramic restoration optical prediction matching method and system based on deep learning, relates to the technical field of oral medicine, and solves the limitation problems that existing oral restoration is low in clinical colorimetric accuracy, depends on artificial experience, has medical technology communication information deviation and the like. The method comprises the following steps: acquiring spectral data of natural teeth, dentin, enamel and different types of ceramics, and calibrating the semi-permeability of enamel and ceramic samples by using an extinction coefficient; obtaining a ceramic-dentin complex and composite spectrum data thereof, constructing a multi-layer sensor model and completing training; and splicing the dentin spectral data and the ceramic spectral data into an initial input vector, splicing the initial input vector with the calibrated semi-permeable constraint vector, and inputting the spliced initial input vector into a multi-layer sensor model to obtain a model matching result. The intelligent model for automatically generating the natural tooth defect repair scheme is established based on the deep learning technology, the intelligent repair design and the visual repair effect are achieved, and clinical application is effectively guided.

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.

The invention provides a two-stage automatic appliance generation method and device based on tooth edge enhancement and a readable storage medium thereof, and belongs to the field of oral medicine digitization. According to the method, jaw pad generation is converted into a point cloud completion task, upper and lower jaw point clouds are preprocessed and then input into a point cloud completion network, appliance point clouds are generated through a coarse-to-fine stage, an interference area is removed through surface reconstruction, lower jaw line enhancement and Boolean difference operation, and a personalized appliance model is generated. Through combination of deep learning and geometric processing, manual operation is reduced, the precision, efficiency and standardization degree of jaw pad generation are improved, and the problem that an existing digital technology depends on manual boundary sketching is solved.

The invention discloses an intelligent auxiliary decision-making system for an orthodontic scheme based on multi-source data, and relates to the technical field of orthodontics, and the system comprises three core units: a multi-source data platform construction unit realizes structured storage and efficient interaction of data; the problem list and diagnosis intelligent generation unit analyzes tooth, jaw and soft tissue data based on three-dimensional space dimensions, automatically compares standard reference values to generate a problem list and a structured diagnosis conclusion, and provides a quantitative basis; the intelligent recommendation unit for the orthodontic treatment scheme fuses multi-modal data features, generates a preliminary scheme by using a deep learning model, combines similar case retrieval and knowledge graph optimization logic, and continuously improves recommendation accuracy through a clinical feedback closed loop. Three-dimensional fusion and automatic diagnosis of multi-source data are realized, subjective experience deviation is reduced, diagnosis and treatment efficiency is improved, and standardized and personalized auxiliary decision support is provided for orthodontics doctors.

The utility model discloses a wireless intraoral genioglossus myoelectricity acquisition device and a functional electrical stimulation system thereof. According to the myoelectricity acquisition device, the electrode, the myoelectricity acquisition circuit and the wearable tooth socket are fixedly assembled and are subjected to waterproof packaging, and the technical scheme of wireless transmission and wireless charging is matched, so that the accuracy of signal acquisition and the wearing comfort of a user are effectively improved, and the myoelectricity acquisition device is suitable for being worn in a humid oral environment for a long time. According to the corresponding closed-loop functional electrical stimulation system, electromyographic signal monitoring and electrical stimulation are integrated, the activity state of genioglossus can be monitored in real time, and electrical stimulation is provided when necessary, so that the smoothness of the airway is maintained, and the breathing problem caused by airway collapse is effectively prevented. The system can also automatically adjust stimulation parameters according to real-time feedback of electromyographic signals, improves the accuracy and curative effect of treatment, and is particularly suitable for treating obstructive sleep apnea.

The invention relates to the field of oral care, in particular to an intelligent oral health assessment and personalized care system and method. The oral image data of the user is acquired and preprocessed through the data acquisition and processing module, and the oral disease recognition module is used for analyzing the data based on a deep learning algorithm to recognize diseases. The system further combines a personalized nursing recommendation module and a personalized product recommendation module, and generates and recommends personalized nursing schemes and products according to the disease recognition result and the user information. And the health monitoring and feedback module monitors oral health of the user in real time and dynamically adjusts a nursing scheme and product recommendation. According to the system, the intelligent, personalized and dynamic oral health management level is effectively improved through technical innovation of an innovative framework, an advanced algorithm, multi-modal data fusion, a dynamic adjustment mechanism and the like, the problems of an existing system are solved, and comprehensive and efficient oral health nursing is achieved.

The invention belongs to a material self-healing performance evaluation method, and particularly relates to a dental self-healing material self-healing performance multi-element evaluation method, which comprises the following steps: making a dental self-healing material into a test piece for multi-element evaluation; preparing scratches on the surface of the test piece to simulate microcracks, and then performing self-healing on the test piece with the scratches; the healing state of the dental self-healing material is obtained in the self-healing process, and the obtaining mode comprises the steps of (1) obtaining a test piece image through a stereoscopic microscope, (2) obtaining a test piece model through a dental laboratory scanner, and (3) obtaining the fracture toughness of the test piece through a three-point bending test; calculating healing efficiency in different modes; and setting an influence weight based on different healing efficiency acquisition methods, and calculating the total healing efficiency. Compared with the prior art, the problems that the practical application scene of the dental self-healing material in the oral cavity cannot be reflected and the form is single in the prior art are solved. According to the scheme, healing efficiency evaluation is performed on the self-healing performance from multiple angles, so that the condition of the dental material in the actual scene of the oral cavity is better met.

The invention discloses a segmentation and evaluation method for a tooth preparation shoulder, relates to the technical field of oral medicine digitization, and aims to solve the problems of low segmentation precision, neglect of anatomical distinguishing, single evaluation, unsmooth boundary and the like of an existing method. The method comprises the following steps: shoulder coarse segmentation: screening three-dimensional grid cube units based on an average curvature, and extracting a coarse segmentation shoulder of a maximum connected domain; carrying out shoulder fine segmentation, extracting inner and outer contours, and then carrying out optimization by using a greedy algorithm (ensuring smoothness through inner energy, and enabling outer energy to fit concave-convex characteristics); performing multi-quadrant division, dividing a mesial region, a distal region, a labial region and a lingual region by taking a long axis of a tooth body as a reference, and fitting boundaries by using a B spline; in the evaluation stage, the gingival height and shoulder width of each region are quantified, the weighted average height is calculated to obtain a basic score, and a final score is obtained by combining region balance deduction. The method is high in segmentation precision, achieves differentiated and comprehensive evaluation, is convenient to operate, and is suitable for oral cavity practical operation teaching and false tooth design scenes.

The invention provides toothpaste containing active biological enzyme and a preparation method of the toothpaste, and belongs to the technical field of toothpaste. Comprising the following components in parts by weight: 2 to 15 parts of a biological enzyme additive composition, 20 to 50 parts of a friction agent, 30 to 60 parts of a humectant, 0.7 to 1.5 parts of a thickening agent, 0.1 to 0.3 part of a taste improver, 0 to 0.3 part of an appearance improver, 0.5 to 1.5 parts of perfume, 2 to 4 parts of a surfactant, 0.2 to 2 parts of an acid-base buffer agent, 0.2 to 0.5 part of a preservative, 0.001 to 5 parts of a functional component and 80 to 120 parts of water. On the premise of protecting teeth from being damaged, the toothpaste disclosed by the invention inhibits bacterium breeding, prevents decayed teeth, can reduce the formation of dental plaque and tartar, alleviates halitosis, resists dental calculus, safely and effectively removes stains on the surfaces of the teeth and whitens the teeth, also has the effect of solving oral problems, and has a wide application prospect.

The invention belongs to the technical field of biomedical treatment and biological fermentation, discloses a metagen composition for effectively inhibiting oral dental caries and application thereof, and aims to solve the problems of great side effect, weak effect and unknown mechanism of the existing dental caries prevention and treatment means. The composition is prepared by mixing a metagen 1 which is prepared by fermenting lactobacillus salivarius Postbio-YY with a metagen 2 which is prepared by fermenting lactococcus lactis Postbio-F3 and lactobacillus paracasei Postbio-P6 step by step. In the preparation process, the active ingredients are reserved by accurately controlling the fermentation pH, time and pasteurization parameters. The composition can be prepared into multiple dosage forms such as toothpaste and the like, can remarkably inhibit the growth of streptococcus mutans and destroy the thallus structure, inhibits biofilm and exopolysaccharide synthesis by down-regulating fimI, wcaJ and wcae genes, is safe and free of side effects, and provides an efficient scheme for decayed tooth prevention and treatment.