3Shape A/s Patente

Disclosed is a computer-implemented method comprising the steps of obtaining first data representing a surface of a dental object, wherein the first data is three-dimensional (3D) surface data; obtaining first augmentation data indicating an estimated presence of a second set of dental conditions in the second data; obtaining second data representing an internal volume of the dental object; obtaining second augmentation data indicating an estimated presence of a second set of dental conditions in the second data; obtaining a user input indicative of a desired inspection site of the dental object; determining a part of the first data corresponding to the desired inspection site; determining a part of the second data corresponding to the desired inspection site; rendering, in a graphical-user interface (GUI), a first view comprising the part of the first data corresponding to the desired inspection site and rendering with a visual indication of at least a part of the first augmentation data corresponding to the desired inspection site; and rendering, in the GUI, a second view comprising the part of the second data corresponding to the desired inspection site with a visual indication of at least a part of the second augmentation data corresponding to the desired inspection site.

Disclosed is a computer-implemented method comprising the steps of obtaining first data representing a surface of a dental object, wherein the first data is three-dimensional (3D) surface data; obtaining first augmentation data indicating an estimated presence of a second set of dental conditions in the second data; obtaining second data representing an internal volume of the dental object; obtaining second augmentation data indicating an estimated presence of a second set of dental conditions in the second data; obtaining a user input indicative of a desired inspection site of the dental object; determining a part of the first data corresponding to the desired inspection site; determining a part of the second data corresponding to the desired inspection site; rendering, in a graphical-user interface (GUI), a first view comprising the part of the first data corresponding to the desired inspection site and rendering with a visual indication of at least a part of the first augmentation data corresponding to the desired inspection site; and rendering, in the GUI, a second view comprising the part of the second data corresponding to the desired inspection site with a visual indication of at least a part of the second augmentation data corresponding to the desired inspection site.

A method and a system for segmenting a 3D digital representation of a tooth into segments is provided. The method includes obtaining the 3D digital representation of the tooth. The 3D digital representation includes a plurality of facets. The method may further comprise determining a facet normal for each facet of the plurality of facets of the 3D digital representation, assigning each facet of the plurality of facets to a particular segment of a plurality of segments based on a direction of a corresponding facet normal, and grouping one or more facets of the plurality of facets of the 3D digital representation based on the assigning.

The present disclosure relates to computer implemented method (1100) for generating a visualization model (110D) of an oral cavity. The method includes obtaining (1102) image data (202) associated with an image (202A) of a patient, determining (1104) oral cavity data (110A) associated with an oral cavity of the patient based on the image data (202), retrieving (1106) a three-dimensional (3D) dental model (106A) and a 3D template gingiva model (106B), and determining (1108) one or more alignment parameters (520A, 532A) for aligning at least one of a first portion of the 3D dental model, or a second portion of the 3D dental model with the dental structure of the oral cavity based on the oral cavity data. The method further includes determining (1110) one or more intensity parameters (110B) for matching a first set of colors of the 3D template gingiva model with a gingiva structure (704) based on the oral cavity data, generating (1112) a set of pixel values (110C) for a second set of colors of the 3D dental model based on the oral cavity data and one or more visualization attributes, and generating the visualization model based on the 3D dental model, the 3D template gingiva model, the one or more alignment parameters, the one or more intensity parameters and the set of pixel values.

Disclosed is a computer-implemented method for facilitating 3D intraoral scanning using cloud computing. The method comprises obtaining scan data of a dental object at a local device, wherein the scan data comprises primary scan data indicative of the 3D geometry of the dental object of a patient, wherein the scan data comprises secondary scan data indicative of one or more characteristics other than the 3D geometry of the dental object. The method comprises establishing a connection between the local device and a remote computing device. The method comprises obtaining a performance indicator by detecting a performance of the connection. The method comprises evaluating the performance indicator and based on the evaluation. The method comprises, if the performance indicator exceeds a primary performance threshold, entering a full connection mode, wherein the full connection mode comprises transmitting the scan data from the local device to the remote computing device, receiving, at the local device from the remote computing device, a digital representation of the dental object computed from the transmitted scan data, and displaying the digital representation. The method comprises, if the performance indicator is less than the primary performance threshold entering a partial connection mode, wherein the partial connection mode comprises transmitting a reduced amount of the scan data from the local device to the remote computing device, receiving, at the local device from the remote computing device, a partial digital representation of the dental object computed from the transmitted reduced amount of scan data, and displaying the partial digital representation.

The present disclosure relates to an intraoral scanning system that is configured to generate a three-dimensional (3D) model with dynamic texture that changes according to a viewing direction of a virtual camera. The system comprises an intraoral scanner, which acquires geometric image data and a plurality of texture image data of a dental object at a plurality of viewing directions. The system further comprises one or more processing units configured to generate a 3D mesh model of the dental object based on the geometric image data, and to assign two or more texture values to a mesh vertex, corresponding to its projections in the texture image data of several viewing directions. The 3D mesh model is rendered with a virtual camera and textured according to texture values corresponding to the viewing direction of the virtual camera.

A computer-implemented method for comparing digital 3D dental models is disclosed, wherein the method comprises receiving a first digital 3D dental model representative of a dental situation at a first time, receiving a second digital 3D dental model representative of the dental situation at a second time, wherein the second time is later than the first time. Further, the method comprises generating a difference map based on the first digital 3D dental model and the second digital 3D dental model, where generating of the difference map comprises obtaining values of geometric differences between the first digital 3D dental model and the second digital 3D dental model, identifying a greatest value of geometric differences from the values of geometric differences, generating a color scale comprising a plurality of discrete colors associated with the values of geometric differences, wherein colors of the plurality of discrete colors are separated by color scale threshold values, further wherein the color scale threshold values are generated based on the greatest value of geometric differences, and assigning the plurality of discrete colors to the values of geometric differences. The method further comprises displaying the difference map to visually highlight the values of geometric differences between the first digital 3D dental model and the second digital 3D dental model.

The present disclosure relates to a computer-implemented method and an intraoral scanning system. The computer-implemented method for removing a glare defect in a processed image scan data, comprising: receiving a plurality of image scan data of a dental object produced by an intraoral scanner, processing one or more image scan data of the plurality of image scan data into a processed image scan data, wherein the processed image scan data includes a plurality of pixels, determining a plurality of defect pixels in the processed image scan data by a glare detection algorithm, wherein the glare detection algorithm may be configured to determine the plurality of defect pixels, when a pixel value of each of the plurality of defect pixels fulfils one or more pixel value criteria, and, when a geometry of an arrangement of the plurality of defect pixels fulfils one or more geometry criteria, determining, by a glare-removal algorithm, non-glare image scan data by analysing pixels of the plurality of pixels that are in vicinity to the plurality of defect pixels, and replacing the processed image scan data in the plurality of defect pixels with the non-glare image scan data.

A computer-implemented method for detecting tooth cracks on a digital 3D model (501) of a dental situation is disclosed. The method comprises receiving the digital 3D model (501) of the dental situation, generating an input (301, 401) for a trained neural network (300, 400) for tooth crack detection, wherein the input (301, 401) comprises at least a part of the digital 3D model (501) with associated color information. The method further comprises detecting a tooth crack (100) on the at least part of the digital 3D model (501) by applying the trained neural network (300, 400) to the generated input (301, 401). Further, the method comprises determining a severity level of the detected tooth crack (100) based on fluorescence information associated with the at least part of the digital 3D model (501) and displaying the at least part of the digital 3D model (501), the detected tooth crack (100) and the severity level of the detected tooth crack (100).

Disclosed is a method for manufacturing a sheath comprising a sheath body, a heat conducting element, and an optical element, the sheath being configured for covering the tip of an intraoral scanner, the method comprising the steps of: arranging the heat conducting element over a core of the mold; inserting the core into a mold matrix to create a mold cavity defined by the core and the matrix, wherein the mold cavity has the shape of the sheath body; injecting a polymer into the mold cavity whereby the sheath body is molded over the heat conducting element; and attaching the optical element to an optical element contacting portion of the heat conducting element. Further disclosed is a sheath resulting from this method.

A computer-implemented method for determining a confidence score (607) of a digital dental workflow (100) is disclosed. The method comprises receiving scan data representative of a dental situation, wherein the scan data comprises color images and near-infrared images. The method further comprises determining a quality measure (106) of the received scan data. Further, the method comprises generating enhanced diagnostic images based on at least the near-infrared images of the scan data and determining a quality measure of the enhanced diagnostic images. The method further comprises identifying a dental condition in the dental situation based on the enhanced diagnostic images and determining a probability value (108) representing a likelihood that the dental condition is identified correctly. The method further comprises determining the confidence score (607) of the digital dental workflow (100) based on the quality measure (106) of the received scan data, the quality measure of the enhanced diagnostic images and the probability value (108).

The present disclosure relates to a computer-implemented method for generating a digital 3D representation of a dental object, the method comprising the steps of: obtaining one or more 2D image(s) of the object; generating, based on the one or more 2D image(s), point cloud data, wherein the point cloud data comprises multiple points representing surface points of the object; and generating, based on the point cloud data, mesh data comprising multiple polygons representing the surface of the object. The step of generating mesh data comprises: obtaining geometric information based on the one or more 2D image(s), wherein the geometric information is indicative of a rate of change of one or more surface characteristic(s) in multiple surface sections of the object; determining a mesh resolution for each surface section based on the geometric information; and generating a mesh for each surface section with resolution determined for the respective surface section.

Disclosed is a computer-implemented method of generating a dental model based on an objective function output, comprising creating an objective function comprising at least one quality estimation function which trains at least one machine learning method that generates quality estimation output, and an objective function output is the output of the objective function providing a model as an input data to the objective function and generating model-related objective function output; and modifying the model based on the model-related objective function output to transform the model to a generated model, wherein the generated model is the dental model.

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