529 results about "Dentition" 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.

Methods and systems for automatic generation of a crown shape for a dentition are described wherein the method comprises segmenting 3D maxillofacial data comprising the dentition, preferably by one or more trained deep neural networks, into a set of 3D dental objects; determining or receiving a position of a tooth, preferably based on a tooth classifier, in the dentition for which a target crown shape is to be determined; determining 3D spatial constraints for the target crown shape based on the set of 3D dental objects; determining an initial pose based for the target crown shape based on one or more 3D dental objects of the set of 3D dental objects; and, optimizing one or more optimization parameters associated with a digital crown shape model to determine the target crown shape, the optimizing including determining a trial crown shape using the digital crown shape model and the one or more optimization parameters, computing a loss value for the trial crown shape based on the 3D spatial constraints and the initial pose; and, if the loss value does not meet one or more optimization conditions modifying the one or more optimization parameters to determine a further trial crown shape and to compute a further loss value.

A dental scanning system may include an intraoral scanner and an extraoral imaging device including a color imaging camera couplable in electronic communication with the intraoral scanner. The system may include non-transitory computer readable medium with instructions that, when executed by a processor, cause the system to carry out a method. The method may include capturing 2D image data of a patient's face and teeth with the extraoral imaging device, capturing intraoral 3D image data of a dentition of the patient with the intraoral scanner, generating a 3D model of the patient's teeth based on the intraoral 3D image data, and associating the 2D image data of the patient's face with the 3D model.

The invention relates to the technical field of orthodontic abnormality diagnosis, in particular to an orthodontic abnormality diagnosis intelligent prompt system based on deep learning, which comprises a multi-modal data acquisition module used for transmitting a patient ID (Identity) through an API (Application Program Interface), automatically importing image data, image data, facial three-dimensional data and dentition three-dimensional data of a patient, and transmitting the image data to the multi-modal data acquisition module; meanwhile, medical record text information is obtained in real time through an EMR interface; according to the method, collected data are diversified in form and comprehensive in content, anatomical structure information is provided for patient photos, skull side position X-rays, CBCT, 3dMD, IOS, medical record reports, image data, image data, three-dimensional data and the like, symptom description and medical history are supplemented through text data, multi-person data fusion is achieved, potential association which is difficult to discover through single-mode data can be captured, facial features of a patient are comprehensively evaluated, and the method is suitable for clinical application. The comprehensiveness and the accuracy of diagnosis are improved, more abundant diagnosis basis can be provided for complex mismatching deformity and multi-modal data fusion, and missed diagnosis and misdiagnosis are reduced.

The invention belongs to the technical field of stomatology, and particularly relates to an upper jaw fixing expansion appliance which comprises a spiral expansion device, a plastic base, a connecting rod, a retention device and a dental retraction traction hook. The spiral expander is positioned in the center of the appliance, and the plastic base plate is two parts which are separated from each other in the center and connected with the spiral expander and covers the hard palate part of the upper jaw. The retention device is composed of a milk molar or premolar casting continuous belt ring and a first molar independent casting belt ring. And the left and right dental retraction traction hooks are positioned in the plastic base and are used for retracting and pressing the first molar of the upper jaw of buccal inclination after the expansion of the arch. The appliance disclosed by the invention is wide in clinical application range, and is suitable for light and moderate teenager patients with lateral maxillary development insufficiency and maxillary posterior tooth buccal inclination compensation. According to the invention, a good bony expansion effect can be realized for patients in a replacement dentition stage or a permanent dentition early stage and patients in rapid maxillary expansion, and excessive buccal inclination and movement of teeth are reduced.

Systems and methods for generating stages for a treatment plan include receiving a first three-dimensional (3D) representation of a dentition including representations of teeth of the dentition in an initial position, determining a second 3D representation including representations of the teeth in a final position, and generating one or more stages including intermediate 3D representations of the dentition by generating a first movement vector for a first tooth of the plurality of teeth, detecting a collision between the first tooth and a second tooth based on the movement vector, generating a second movement vector for the first tooth, and generating a first stage of the one or more stages according to the second movement vector for the first tooth.

Systems and methods are described for generating accurate predictions of the post-treatment anatomy of a patient. The methods involve receiving one or more oral care arguments that describe the desired output from a trained machine learning model. One or more noisy representations of the patient's face and / or post-treatment dentition can be used to train a denoising diffusion probabilistic model. In deployment, an initially noisy image can be denoised, with conditioning on latent representations of the patient's pre-treatment photo and the post- restoration dentition. The methods may generate a digital representation of the patient's post-treatment appearance. These systems and methods enable improved predictive accuracy and enable treatment planning for orthodontics and dental restorative treatments.

The invention belongs to the technical field of three-dimensional point cloud processing, and particularly discloses an automatic tooth segmentation method and system for oral cavity scanning point clouds, and the method comprises the following steps: collecting and preprocessing dentition three-dimensional point clouds, extracting point cloud features containing coordinates and normal directions, and constructing a neighborhood structure; setting a first-stage multi-branch network, and performing tooth and gingiva coarse segmentation and instance initial clustering on the point cloud; setting a second-stage semantic refinement network, and carrying out local cutting on the original point cloud; setting a boundary detection and boundary offset network to enhance a tooth contact area, and refining a boundary instance by clustering to obtain a boundary enhanced instance tag; and performing label fusion, and propagating the fused label to the original high-resolution point cloud through a nearest neighbor algorithm to obtain a final semantic label and a final instance label. By adopting the technical scheme, high-precision instance-level segmentation of the complete dentition point cloud is realized through semantic segmentation, boundary detection and clustering cooperative work based on a biased field.

A method for measuring periodontal disease and treating diseases associated therewith includes: obtaining B-mode ultrasound images of a dentition and periodontium of a patient; identifying gingival margin (GM), alveolar bone crest (ABC), cementoenamel junction (CEJ), periodontal ligament (PDL), and gingival edge (GE) biomarkers on the B-mode ultrasound images, the GE biomarker being a part of periodontal soft tissue most distal from a tooth surface; evaluating a metric associated with periodontal disease using one or more of the GM, ABC, CEJ, PDL and GE biomarkers and based at least in part on the evaluating, performing an act that implements and / or adjusts a therapeutic treatment of a periodontal disease.

A method includes determining, by a processing device, a plurality of treatment providers for providing a dental treatment to a user and providing identification of the plurality to a first user device. The method further includes receiving image data of dentition of the user from the first user device. The method further includes receiving a user selection of a first treatment provider and a second treatment provider. The method further includes providing the image data to a second and third device associated with the first treatment provider and second treatment provider. The method further includes obtaining first information of a first recommended treatment for the dentition and second information of a second recommended treatment for the dentition from the first and second treatment providers. The method further includes providing the first information and the second information of the second recommended treatment to the first user device.

The invention relates to the field of oral clinical orthodontics, and discloses a method for generating an oral correction scheme, comprising: acquiring a face composite model of an initial state of a patient, the face composite model comprising a dental jaw portion and a soft tissue portion; respectively obtaining P correction schemes of the patient, wherein each correction scheme corresponds to a target state of tooth jaw movement; correspondingly obtaining face prediction models of P target states according to the tooth jaw movement and deformation face composite models of the P correction schemes; and in the P correction schemes, selecting an optimal correction scheme as a target correction scheme according to evaluation of the face prediction model in the target state. The invention further discloses electronic equipment and a storage medium, the orthodontic scheme is determined by predicting the appearance, the predicted result is closer to the real effect after orthodontic treatment, more bases are provided for the patient to select the orthodontic scheme, the patient can conveniently determine the ideal orthodontic scheme from the face expression, and a more preferable orthodontic scheme is generated.

The invention relates to an occlusion guide plate designing and manufacturing method based on dentition mechanical analysis, which comprises the following steps: S1, acquiring oral cavity image data of a patient, and constructing a three-dimensional digital model comprising a dental crown, a tooth root and an alveolar bone structure; s2, calculating an overall mechanical reference point of a tooth root structure of an anterior maxillary tooth area; s3, acquiring an incisal edge midpoint of each incisal tooth and a cusp point of each canine tooth in the maxillary anterior tooth area, solving a geometric center, and connecting the geometric center with an overall mechanical reference point to form a dentition direction vector; s4, calculating the displacement relationship between the target dentition arrangement and the initial dentition arrangement in the lip-tongue direction; s5, calculating an included angle between the occlusal force direction of the maxillary anterior tooth area and the dentition direction vector; s6, determining key morphological parameters of the occlusion guide plate according to the calculation result of the included angle in S5; and S7, manufacturing the occlusion guide plate. Compared with the prior art, the method has the advantages of precise mechanical adaptation, quantitative treatment prediction, personalized design and the like.

A method to generate a photo realistic dentition image includes receiving a 2D image of a patient dentition including a plurality of patient teeth. The method includes obtaining a template dentition including a plurality of template teeth that correspond with a subset of the patient teeth. The method includes generating a tooth location input to position the plurality of template teeth relative to the subset of the plurality of patient teeth. The method includes identifying an area of generation in the 2D image including a plurality of pixels and contextual information. The method includes generating new photo realistic teeth based on the tooth location input, the contextual information, and the area of generation. The method includes disposing the photo realistic teeth in the 2D image.

Embodiments relate to the methodology of direct manufacture of a customized labial / lingual orthodontic tube by using a ceramic slurry-based additive manufacturing (AM) technology. For example, a method of manufacturing customized ceramic labial / lingual orthodontic tubes by additive manufacturing may comprise measuring dentition data of a profile of teeth of a patient, based on the dentition data, creating a three-dimensional computer-assisted design (3D CAD) model of the patient's teeth, and saving the 3D CAD model, designing a virtual 3D CAD tube structure model for a single labial or lingual tube structure based upon said 3D CAD model, importing data related to the 3D CAD tube structure model into an additive manufacturing machine, and directly producing the tube with the additive manufacturing machine by layer manufacturing from an inorganic material including at least one of a ceramic, a polymer-derived ceramic, and a polymer-derived metal.

The invention discloses a digital stable jaw pad designing and manufacturing method, and relates to the technical field of oral rehabilitation and digital medical technology.The digital stable jaw pad manufacturing method comprises the following steps that a, three-dimensional point cloud data of oral dentition and mucosa of a patient is obtained through a three-dimensional scanner; b) determining a stable jaw position coordinate model by using an optical motion capture system; c) designing a jaw pad three-dimensional entity model with an anterior tooth area, a posterior tooth area and an edge structure based on the three-dimensional point cloud data and the stable jaw coordinate model; and d) manufacturing the jaw pad through 3D printing equipment, wherein the 3D printing equipment is formed by adopting a polyether-ether-ketone material. By integrating digital acquisition, design and manufacturing technologies, the pain point of a traditional method is solved, and personalized, high-precision and rapid manufacturing of the stable jaw pad is realized.

The invention provides a orthognathic digital virtual occlusion pairing method, which comprises the following steps: acquiring an oral cavity three-dimensional digital model of a patient, the oral cavity three-dimensional digital model comprising a jaw bone and a dentition; segmenting a jaw bone in the oral cavity three-dimensional digital model to form a segmented model; calibrating reference position information on the segmentation model, and determining an adjustment rule; and splicing the segmented jaw bones in the segmentation model until the adjustment rule is met.

The invention provides an adjustable oral soft tissue traction fixing device for an apical surgery. The adjustable oral soft tissue traction fixing device comprises a dentition fixing component, a lower jaw fixing component and a soft tissue traction fixing component, the dentition fixing component is used for being fixed in the oral cavity of a subject and located at the upper end of the dentition where the operation teeth are located. The dentition fixing component comprises a buckle plate and an insertion rod; a groove is formed in the lower side of the buckle plate, and the buckle plate is buckled on the dentition through the groove; the upper end of the insertion rod is fixed to the first side of the buckle plate. The lower jaw fixing component comprises a bottom plate and a side plate; the bottom plate and the side plate are connected to form an L shape; the lower jaw fixing component is used for being fixed outside the oral cavity of a subject; first insertion holes are formed in the side plates in the vertical direction; the lower part of the inserting rod is inserted and fixed in the first inserting hole; the first end of the soft tissue traction fixing component can be adjustably fixed to the lower jaw fixing component, and the second end of the soft tissue traction fixing component is used for extending into the oral cavity of a subject so as to achieve traction and fixing of gingival soft tissue flaps.

Methods and systems for automatic generation of a crown shape for a dentition are described wherein the method comprises segmenting 3D maxillofacial data comprising the dentition, preferably by one or more trained deep neural networks, into a set of 3D dental objects; determining or receiving a position of a tooth, preferably based on a tooth classifier, in the dentition for which a target crown shape is to be determined; determining 3D spatial constraints for the target crown shape based on the set of 3D dental objects; determining an initial pose based for the target crown shape based on one or more 3D dental objects of the set of 3D dental objects; and, optimizing one or more optimization parameters associated with a digital crown shape model to determine the target crown shape, the optimizing including determining a trial crown shape using the digital crown shape model and the one or more optimization parameters, computing a loss value for the trial crown shape based on the 3D spatial constraints and the initial pose; and, if the loss value does not meet one or more optimization conditions modifying the one or more optimization parameters to determine a further trial crown shape and to compute a further loss value.

A method of multimodal scanning may include generating surface scan data of an intraoral structured using structured light. The method may include generating volumetric scan data of an internal structure of the intraoral structure with OCT scanning. The OCT scan data may be aligned with the surface scan data. A three-dimensional volumetric model of the patient's dentition may be generated based on the aligned OCT scan data and the surface scan data.

Systems and methods for setting teeth final positions in a treatment plan include: receiving a first 3D representation of a dentition in an initial position, distributing one or more first teeth in the first 3D representation in a mesial-distal direction, modifying a position of one or more second teeth of the plurality of teeth along a maxillary-mandibular axis based on a determined cutting edge, shifting one or more third teeth of the plurality of teeth in the first 3D representation towards a determined arch curve, and generating a second 3D representation by moving one or more fourth teeth of the plurality of teeth to minimize interproximal contacts between the plurality of teeth along the arch curve.

The present specification discloses a tooth recognition method and apparatus, a storage medium, and an electronic device. The method comprises: firstly performing recognition on a low-resolution three-dimensional image of a target area; obtaining dentition position information of each tooth in the target area; determining key position information of the teeth from the dentition position information, so as to obtain a high-resolution local image corresponding to the key position information; performing recognition on the high-resolution local image to obtain key tooth recognition results; and on the basis of the dentition position information from the low-resolution image and the key tooth recognition results from the high-resolution image of key positions, obtaining a tooth recognition result for an original three-dimensional oral image. Recognition is firstly performed on the low-resolution three-dimensional image to obtain the dentition position information, and then tooth recognition is performed on the high-resolution three-dimensional image corresponding to the key position information, thereby improving the accuracy of tooth recognition results.

A computer-implemented method and system of digitally segmenting teeth in a digital model comprises generating a panoramic image from a 3D digital model of a patient's dentition, labeling, using a first trained neural network, the panoramic image to provide a labeled panoramic image, mapping the labeled panoramic image to corresponding coarse digital surface triangle labels in the 3D digital model to provide a labeled 3D digital model, and segmenting the labeled 3D digital model to provide a segmented 3D digital model. A computer-implemented method and system of generating a panoramic image comprises determining, using a trained neural network, digital tooth bounding region(s) corresponding to digital teeth from a 2D depth map of a patient's dentition, connecting digital tooth bounding region(s) by a spline, determining sampled digital surface points from the sampled spline points; and determining associated digital surface points corresponding to each sampled digital surface point.

A method of treating a patient's dentition may include generating, from a first 3D model of a first physical impression of a first arch of a patient and a second 3D model of a second physical impression of a first arch of the patient, a reconstructed 3D model of the first arch of the patient by incorporating one or more portions of the first 3D model with one or more portions of the second 3D model and creating a treatment plan for the patient's dentition using the first 3D model. The method may also include fabricating a set of dental alignment devices configured to implement the treatment plan when the dental alignment devices in the set of dental alignment devices are sequentially worn on the patient's dentition.

The novel digital mandibular advancement appliance parameter design method comprises the following steps: step 1, constructing a three-dimensional finite element model comprising upper and lower jawbones, dentition, periodontal ligament, temporal-mandibular joints and a mandibular advancement appliance based on the three-dimensional finite element model; adjusting the boundary of the three-dimensional finite element model through the mandible kinematics parameters to form a simulation boundary; 2, constructing a multi-parameter collaborative prediction model based on the obtained stress data under different combinations of the mandibular protraction amount and the vertical opening amount; based on the stress data, constructing a three-dimensional stress distribution cloud picture by adopting three-dimensional simulation interaction software; 3, inputting the simulation boundary into the multi-parameter collaborative prediction model, and outputting risk early warning information; and 4, determining design parameters of the mandibular advancement appliance based on the three-dimensional stress distribution cloud picture and the risk early warning information. According to the method, the parameters of the appliance are customized, and the designed forward movement amount and the opening amount of the appliance better conform to personal characteristics.

The invention relates to a method and a device for generating a panoramic curved surface fault slice based on a CBCT image of three-dimensional segmentation, and the method comprises the steps: S1, carrying out the three-dimensional segmentation of teeth and a mandible in the CBCT image through a deep learning algorithm, and obtaining a tooth and mandible segmentation result; s2, acquiring a reference dental arch line for representing the dentition condition of the patient based on the segmentation result; s3, adjusting the dental arch line of each layer of slice containing the segmentation result based on the segmentation result and the reference dental arch line; and S4, extracting panoramic slice data from the CBCT image according to the dental arch line of each layer of slice, and generating a panoramic curved surface fault slice. According to the method, by means of the segmentation result, the oral cavity panoramic image with the target anatomical structure is accurately extracted from the CBCT image, a dentist can conveniently measure the length, the angle and the like, the adjacent relation of the dentition periphery can be conveniently observed, meanwhile, radiation absorption of secondary shooting is avoided, and the imaging accuracy is improved. And the problems of poor patient cooperation, inaccurate focusing positioning and the like during panoramic actual shooting are solved.

The invention relates to a computer system for providing a treatment proposal for a dentition of a patient. The computer system is configured to provide an current state model of the dentition and a target state model of the dentition; to provide a set of treatment options for treating the dentition, to check the provided treatment options, wherein the checking comprises determining whether the dentition of the patient is meeting the feasibility requirements assigned to the treatment option being checked; in case the dentition is determined to meet the feasibility requirements assigned to the treatment option being checked, to provide the treatment proposal identifying the respective treatment option and implementation parameters determined for the measures of the identified treatment option for modifying the current state model such that one or more discrepancies of the current state model relative to the target state model are compensated.

One aspect of the present application provides a computer-implemented method for generating an accessory regime for orthodontic treatment with a shell-shaped orthodontic appliance, the method comprises the following steps: according to each correction force required by each tooth of a dentition of a patient to achieve a correction target and a threshold value of each correction force which can be applied to each tooth by a shell-shaped tooth correction device under the condition of no accessory, determining the correction force required to be enhanced by each tooth, on the basis, the teeth needing to be added with the accessories and the types of the accessories needing to be added are determined, and the types of the accessories comprise the shapes of the accessories; establishing an installation feasible region for each accessory, wherein each installation feasible region comprises a region, allowing the installation of the corresponding accessory, of the surface of the corresponding tooth; the optimal solutions of the poses and the sizes of all the accessories are obtained through calculation based on the feasible regions by means of an objective function, and the corresponding correction force needing to be enhanced and provided by the optimal solutions of the poses and the sizes of all the accessories is larger than or equal to the corresponding correction force needed by the corresponding teeth.

Provided are a method for generating an orthodontic design scheme, an electronic device, and a storage medium, for improving the success rate of automatically generating orthodontic design schemes. The method comprises: an electronic device acquiring dentition information of a patient, such as initial position information and target position information (step 101); generating a first orthodontic design scheme on the basis of the dentition information and a preset scheme generation process, wherein the first orthodontic design scheme comprises procedures of N orthodontic steps (step 102); traversing the procedure of each orthodontic step, and recording position information corresponding to a tooth marked with a key position node in the procedure of a first orthodontic step (step 103); and adjusting the position of the tooth marked with the key position node in the procedure of the first orthodontic step according to the position information corresponding to the tooth marked with the key position node in the procedure of the first orthodontic step and orthodontic constraints, to give a second orthodontic design scheme (step 104). Thereby, the generation efficiency and success rate of automatically generating an orthodontic design scheme can be improved.

In some embodiments thereof, the present invention discloses systems and methods for expeditiously designing and fabricating properly-fitted dental prostheses. A customizable arch-shaped apparatus approximating dentition is employed intraorally to register positional and relational characteristics between maxillary and mandibular arches, including the vertical dimension of occlusion. The apparatus is configured to allow accurate interface with oral anatomy via its constituent material(s) being pliable and moldable preferably but not necessarily when heated. Representations of dentition may be integrated on the apparatus to aid proper positioning. Intraoral scan data detailing precise arch dimensions is either referenced from pre-existing patient records or procured through digital oral scanning of the apparatus in situ. The registered positional relationships and acquired scan data are jointly utilized to virtually model and subsequently manufacture bridgework, veneers or dentures; the apparatus allowing dentition to be modeled and fabricated in a singular office visit prior to a final, confirmatory try-in where minor adjustments may ensue.

Embodiments may provide improved techniques for creating custom lingual or labial ceramic orthodontic brackets, and which provides the capability for in-office fabrication of such brackets. For example, a method of manufacturing customized ceramic labial / lingual orthodontic brackets by ceramic slurry-based AM may comprise measuring dentition data of a profile of teeth of a patient, based on the dentition data, creating a three dimensional computer-assisted design (3D CAD) model of the patient's teeth using reverse engineering, and saving the 3D CAD model on a computer, designing a 3D CAD bracket structure model for a single labial or lingual bracket structure, importing data related to the 3D CAD bracket structure model into a ceramic slurry-based AM machine, directly producing the bracket (green part) in the ceramic slurry-based AM machine by layer manufacturing, and processing the brackets in a sintering and debinding oven prior to direct use.