Abstract: A computer-implemented method for generating a corresponding 3D mesh representing a 3D object includes transforming an initial three-dimensional mesh into a planar mesh, wherein each vertex or edge of the planar mesh is a transformation of a vertex or edge from the initial three-dimensional mesh; and sampling the planar mesh to generate a plurality of samples such that each sample comprises a three-dimensional coordinate representing a point in a three-dimensional space derived and/or taken directly from the initial three-dimensional mesh, and a coordinate representing a position of the sample relative to other samples; and generating the sampled matrix based on the plurality of samples; and representing the sampled matrix as a corresponding 3D mesh.

Abstract: The present disclosure relates to an intraoral scanning device including a light source configured for emitting light; a beam splitter configured for outputting linearly polarized light of a predefined orientation, wherein the beam splitter is arranged such that light from the light source is transmitted through the beam splitter; an image sensor configured for acquiring one or more images; and a light absorbing unit for minimizing stray light on the image sensor, said light absorbing unit arranged on a surface of the beam splitter. The present disclosure further relates to an optical system for an intraoral scanning device, said optical system configured for minimizing stray light in the system.

Abstract: A computer-implemented method, a system, and computer readable medium for generating a digital dental workflow. The method includes: receiving a first workflow action selected from a plurality of workflow actions, the first workflow action including an action input; generating an action output at least partly based on the action input of the first workflow action; suggesting at least a second workflow action and a third workflow action from the plurality of workflow actions based on the action output generated by the first workflow action, wherein at least a part of the action output of the first workflow action at least partly represents an action input for each of the at least the second workflow action and the third workflow action; and generating the digital dental workflow upon a selection of the at least the second workflow action or the third workflow action.

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

Abstract: A method, user interface and system for detecting and monitoring development of a dental condition. In particular, detecting and monitoring such a development by comparing digital 3D representations of the patient's set of teeth recorded at a first and a second point in time. For example, determining tooth movement for at least one tooth between the first and second point in time based on derived distances.

Abstract: A computer-implemented method for detecting tooth cracks on a digital 3D model of a dental situation includes receiving the digital 3D model of the dental situation, generating an input for a trained neural network for tooth crack detection, wherein the input includes at least a part of the digital 3D model with associated color information. The method further includes detecting a tooth crack on the at least part of the digital 3D model by applying the trained neural network to the generated input. Further, the method includes determining a severity level of the detected tooth crack based on fluorescence information associated with the at least part of the digital 3D model and displaying the at least part of the digital 3D model, the detected tooth crack and the severity level of the detected tooth crack.

Abstract: A three-dimensional optical scanning system for scanning a three-dimensional dental object, the system including a first scanning station configured to receive a first three-dimensional dental object, and further configured to rotate around a first axis during the scanning; and an imaging unit including at least one camera and configured to rotate around an imaging unit axis during the scanning, wherein the optical scanning system is configured such that the imaging unit acquires a plurality of two-dimensional images of the first three-dimensional dental object corresponding to a set of predefined static relative positions between the imaging unit and the first scanning station for generating a first three-dimensional digital representation of the first three-dimensional dental object.

Abstract: An intraoral scanning system includes an intraoral scanning device to acquire light information reflected from a three-dimensional dental object during a scanning session and one or more processors operably connected to the intraoral scanning device. The processors determine surface information from the light information, and generate a three-dimensional surface model of a dental object. At least one of the one or more processors is one or more remote computers. The one or more remote computers includes a resource pool, wherein the system provides temporary access for the intraoral scanning device to one or more resources of the resource pool based on a predefined performance mode of the scanning session. Each of the at least two predefined performance modes is configured to operate the intraoral scanning device with a different number of resources from the resource pool and/or with a different type of resources from the resource pool.

Abstract: The present disclosure provides a wireless scanning device, including a scanning housing, including an image detector configured for acquiring 2D-images at a first 2D-frame-rate; and one or more processor(s) coupled to the image detector such that the 2D-images can be processed by the processor(s) to form processed data; a wireless module being coupled to the processor(s) such that the wireless module receives the processed data from the processor(s) and wirelessly transmits the processed data.

Abstract: A computer implemented method for rendering digital three-dimensional dental models of a patient includes receiving a first digital 3D dental model; receiving a second digital 3D dental model; generating a superimposed model by superimposing one of the first digital 3D dental model or the second digital 3D dental model on another of the second digital 3D dental model or the first digital 3D dental model; and arranging, in the digital 3D space, a 2D controller and the superimposed model relative to each other such that a position of the 2D controller relative to a location of the superimposed model defines a boundary that demarcates the superimposed model between a first zone configured to render only at least a part of the first digital 3D dental model from the superimposed model and a second zone configured to render only part of the second digital 3D dental model from the superimposed model.

Abstract: A 3D scanner system includes a scanning device capable of recording first and second data sets of a surface of an object when operating in a first configuration and a second configuration, respectively. A measurement unit is configured for measuring a distance from the scanning device to the surface. A control controls an operation of the scanning device based on the distance measured by the measurement unit, where the scanning device operates in the first configuration when the measured distance is within a first range of distances from the surface and the scanning device operates in the second configuration when the measured distance is within a second range of distances; and a data processor is configured to combine one or more first data sets and one or more second data sets to create a combined virtual 3D model of the object surface.

Abstract: The present disclosure relates to a 3D scanner system for scanning the oral cavity of a patient. In particular, the disclosure relates to feedback mechanisms and user interfaces of intraoral scanners. In some embodiments, the 3D scanner system comprises an intraoral scanner comprising one or more reconfigurable buttons, wherein each reconfigurable button comprises a force sensor, such as a strain gauge sensor; and wherein the intraoral scanner further comprises a display configured for displaying one or more icons, texts, or animations, associated with the reconfigurable buttons, wherein the display covers the force sensors, and wherein the scanner system further comprises one or more processors configured to generate 3D scan data of at least a part of the dental arch.

Abstract: A computer-implemented method for determining a confidence score of a digital dental workflow is disclosed. The method includes receiving scan data representative of a dental situation, wherein the scan data includes color images and near-infrared images. The method further includes determining a quality measure of the received scan data. Further, the method includes 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 includes identifying a dental condition in the dental situation based on the enhanced diagnostic images and determining a probability value representing a likelihood that the dental condition is identified correctly. The method further includes determining the confidence score of the digital dental workflow based on the quality measure of the received scan data, the quality measure of the enhanced diagnostic images and the probability value.

Abstract: Detecting a movable object in a location includes providing a first 3D representation of at least part of a surface; providing a second 3D representation of at least part of the surface; determining for the first 3D representation a first excluded volume in space where no surface can be present; determining for the second 3D representation a second excluded volume in space where no surface can be present; if a portion of the surface in the first 3D representation is located in space in the second excluded volume, the portion of the surface in the first 3D representation is disregarded in the generation of the virtual 3D model, and/or if a portion of the surface in the second 3D representation is located in space in the first excluded volume, the portion of the surface in the second 3D representation is disregarded in the generation of the virtual 3D model.

Abstract: An intraoral scanning device configured to acquire intraoral scan data from a three-dimensional dental object. The intraoral scanning device includes: a projector unit configured to emit light at least onto the dental object of a patient. The projector unit includes a light source; an image sensor configured to acquire reflected light from the dental object; a processing unit configured to process the acquired reflected light into 2D intraoral scan data and/or 3D intraoral scan data, a battery unit configured to supply a DC voltage, a supply assembly unit configured to receive the DC voltage and provide a supply voltage to the light source. The supply assembly unit includes: a voltage up-converter configured to convert the DC voltage to a supply voltage, a voltage down-converter configured to convert the DC voltage to a supply voltage, and a voltage controller unit configured to control the voltage up-converter and the voltage down-converter.

Abstract: The present disclosure relates to a computer-implemented method for generating a digital 3D representation of a dental object, the method including 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 includes multiple points representing surface points of the object; and generating, based on the point cloud data, mesh data including multiple polygons representing the surface of the object. The step of generating mesh data includes: 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.

Abstract: A method for digitally designing a denture for a patient, where the denture includes a plurality of denture teeth, where designing the denture includes transforming denture teeth of the denture, wherein the method includes obtaining a 3D scan of the upper jaw and lower jaw of the patient; obtaining a digital 3D arrangement of the denture teeth, where the denture teeth are pre-set in occlusion; digitally arranging the 3D scan of the upper jaw and lower jaw relative to the 3D arrangement of the denture teeth; digitally grouping the denture teeth in four groups, the four groups includes an upper anterior group, a lower anterior group, a left posterior group, and a right posterior group; and digitally arranging the upper anterior group first, the left and right posterior groups second and the lower anterior group third.

Abstract: The present disclosure relates to computer-aided dental restoration system that is configured to estimate crown pose and representing virtual crown in 3D model. The system obtains 3D model of dentition of the patient. The system segments 3D model to obtain segmented tooth data and generates encoded 3D model representation suitable for processing by trained neural network.

Abstract: A 3D scanner for recording the 3D topography of an object, the 3D scanner including: a projector unit configured for projecting a structured beam of probe light onto the object; an imaging unit arranged to acquire 2D images of the object when the object is illuminated by the structured probe light beam; and an actuator unit arranged to control the position of the structured probe light beam at the object by rotating a movable portion of the projector unit around a pivoting axis, the actuator unit including a rotation motor including or arranged to drive a wheel, where the surface of the wheel operatively coupled to the movable portion of the projector unit has a radial distance from the axis of the rotation motor which changes with the rotation.

Abstract: A computer implemented method for rendering digital three-dimensional dental models includes receiving a first digital 3D dental model including a first dental information of a patient; receiving a second digital 3D dental model including a second dental information of the patient; generating, in the digital 3D space, a superimposed model by superimposing one of the first digital 3D dental model or the second digital 3D dental model on another of the second digital 3D dental model or the first digital 3D dental model; and arranging a 2D controller and the superimposed model relative to each other such that a position of the 2D controller defines a boundary that demarcates the superimposed model between a first zone and a second zone.