9 results about "Dental region" patented technology

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.

A method for matching two-dimensional and three-dimensional tooth images, performed by a tooth image matching apparatus according to one embodiment may comprise the steps of: acquiring a three-dimensional tooth image obtained by photographing a patient's tooth and extracting a plurality of two-dimensional still images from the three-dimensional tooth image; acquiring a two-dimensional tooth image obtained by photographing the patient's tooth and generating a masking image obtained by separating a tooth area from the two-dimensional tooth image; determining a similar image having the highest degree of similarity to the masking image among the plurality of two-dimensional still images; and matching the two-dimensional tooth image and the similar image by registering the masking image and the similar image.

The application discloses an auxiliary movement control method and device of a brush head, a medium and an electric toothbrush. The method is applied to the electric toothbrush in a gravity balance state, and comprises the following steps: detecting position information of the brush head, confirming a tooth area where the brush head is located according to the position information; acquiring an auxiliary movement strategy corresponding to the tooth area; controlling a target end portion of the brush head to move into a tooth gap and keep abutting against the tooth according to the auxiliary movement strategy; and outputting corresponding motor driving instructions to control motor parameters according to the auxiliary movement strategy, so that the brush head moves in the tooth area at a movement parameter under the action of the motor driving and the abutting. Through the auxiliary control, the brush head automatically moves under the action of the motor driving and the gap abutting, the user only needs to pay attention to the balance state of the electric toothbrush in the gravity direction, and the semi-automatic tooth brushing effect of saving labor can be realized without other actions, the application can effectively widen the application group of the electric toothbrush, and provides convenience for the tooth brushing process of the user.

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

This invention belongs to the field of medical image processing technology and discloses a deep learning-based method for detecting the lingual canal in CBCT data. The specific steps are as follows: S1: Extract mandibular slice images from CBCT data; automatically segment the tooth region in the CBCT data using a three-dimensional segmentation model, determine the target region containing the lingual canal based on the spatial distribution of the teeth, and generate equidistant continuous two-dimensional slices within this range along the x-axis. Automatically extracting the tooth region using a three-dimensional segmentation model and determining the target region containing the lingual canal accordingly avoids the manual selection of slices or regions in traditional methods, significantly improving the automation and consistency of the detection process; using a deep learning model to detect the lingual canal in the mandibular slice images, enhancing local contrast through preprocessing, and combining confidence screening and non-maximum suppression strategies effectively improves the accuracy of the lingual canal candidate boxes.

This application discloses a method, apparatus, device, medium, and product for detecting dental defects in children, relating to the field of image processing technology. The method includes preprocessing an acquired panoramic radiograph of a child to be detected to obtain a standard image of a child's teeth; extracting local and global feature vectors from the standard image of the child's teeth, and then weighted and fused the extracted local and global feature vectors to obtain a fused feature image of the teeth; extracting geometric anchor points and calibrating the coordinates of each tooth region based on the fused feature image of the teeth to obtain the positional information of each tooth; matching the defect type of a single tooth region according to the fused feature image of the teeth and the positional information of each tooth to obtain a defect identification result; and generating a detection result based on the defect identification result and the positional information of each tooth. This application improves the detection accuracy and positioning precision of permanent and deciduous teeth in children on panoramic radiographs, avoiding missed detection of small teeth.

Conventionally, there are many types of forceps, so it may take time to distinguish or replace instruments during surgery. Trainees or inexperienced medical staff have difficulty distinguishing between the various forceps, which causes delays in surgery time or inconvenience to both the patient and the operator. Accordingly, the present invention comprises an extraction forceps designed to be deformable into a shape suitable for the upper jaw, lower jaw, and various tooth areas, comprising: a forceps head having a rotatable structure; a forceps head hinge having a structure to which the forceps head is coupled and which rotates the forceps head; and a forceps handle integrally connected to the forceps head hinge and which allows a user to grasp and open / close the forceps head.