A method of scanning an oral cavity including: acquiring, using an intraoral scanner (IOS) head, without changing a position of the IOS head, a first image of a first region of interest (ROI) and a second image of a second ROI where the first and the second ROIs are of different portions of a dental arch of the oral cavity and do not overlap; reconstructing depth information for the first and the second ROI; and generating a single model of the dental arch by combing the depth information.

Systems and methods for generating a three-dimensional (3D) model of a user's dental arch based on two-dimensional (2D) images of dental impressions include a model training system that provides a machine learning model using training image(s) of a dental impression of a respective dental arch and a 3D training model of the respective dental arch. A model generation system receives first image(s) of a first dental impression of a user's dental arch and second image(s), which may be of the first dental impression or a second dental impression of the dental arch. The model generation system generates a first and second 3D model of the dental arch by applying the first image(s) and second image(s) to the machine learning model.

The present invention relates to a computer implemented method for aligning a three-dimensional model (6) of a patient's dentition to an image of the face of the patient recorded by a camera (3), the image including the mouth opening, comprising: estimating the positioning of the camera (3) relative to the face of the patient during recording of the image to obtain an estimated positioning, retrieving the three-dimensional model (6) of the dentition of the patient, rendering a two-dimensional image (7) of the dentition of the patient using the virtual camera (8) processing the three-dimensional model (6) of the dentition at the estimated positioning, carrying out feature detection in a dentition area in the mouth opening of the image (1) of the patient recorded by the camera (3) and in the rendered image (7) by performing edge detection and/or a color-based tooth likelihood determination in the respective images and forming a detected feature image for the or each detected feature, calculating a measure of deviation between the detected feature images of the image taken by the camera (3) and the detected feature image of the rendered image, varying the positioning of the virtual camera (8) to a new estimated positioning and repeating the preceding three steps in an optimization process to minimize the deviation measure to determine the best fitting positioning of the virtual camera (8).

A method for defining at least one boundary surface inside an artificial tooth element, the method comprising the steps of: aligning the tooth element with a coordinate system which preferably relates to anatomically defined directional terms; defining a first boundary curve on the tooth surface; determining a tooth surface located incisally/occlusally with respect to the first boundary curve; and moving this tooth surface inwards in the direction of the surface normal by different amounts in order to produce the at least one boundary surface, in particular the first boundary surface, wherein the different amounts of the movement involve variable design parameters.

An imaging system may include: a first light source configured to emit a first source spectrum of collimated light; a second light source configured to emit a second source spectrum of light; a probe head configured to direct the first source spectrum and the second source spectrum toward tissue in an oral cavity and to collect a first feedback spectrum of light and a second feedback spectrum of light; an interferometry sub-system to generate an optical feedback signal using the first source spectrum; at least one optical sensor array for receiving the optical feedback signal and the second feedback spectrum; and at least one programmable processor to generate: a first diagnostic image of the tissue using the optical feedback signal; a second diagnostic image of the tissue using the second feedback spectrum; and a third diagnostic image from a combination of the first diagnostic image and the second diagnostic image.

Provided is a method of setting a scan region, the method including: placing a target object on an upper surface of a jig of a three-dimensional scanner in such a manner that at least one portion of a target object image representing a shape of the target object is plotted on an input region; determining, by a control unit, a predetermined upper portion of the input region, as a scan region, from a jig image representing the shape of the jig; and generating, by the control unit, a three-dimensional model of the target object on the basis of the target object image resulting from scanning the scan region.

Proposed is a method of compensating data, the method including: acquiring a plurality of initial scan shots by scanning a target object onto which a predetermined pattern is projected; detecting a non-scan region on the basis of the plurality of initial scan shots; and acquiring at least one compensated scan shot by additionally scanning at least one portion of the target object when the non-scan region is detected.

A system and method include digitally determining a virtual insertion path of a digital dental restoration.

The tooth segmentation apparatus detects a boundary box of each tooth from dental scan data in a form of a mesh, sets a boundary condition from the boundary box of each tooth, and segments a tooth region of each tooth in the dental scan data based on the boundary condition of each tooth.

A portable medical education device, medical education platform, and medical education methods are disclosed. The medical education portable device enables a camera to capture a specific picture to generate an image, extracts several features from the image, converts the features into an identification code, and transmits the identification code to the medical education platform. The medical education platform stores several three-dimensional medical models and finds a specific three-dimensional medical model from the three-dimensional medical models according to the identification code, wherein the preset code corresponding to the specific three-dimensional medical model is the same as the identification code. After that, the medical education platform transmits the specific three-dimensional medical model to the portable medical education device, and the portable medical education device enables a display screen to present a reality scene and enables the reality scene to show the specific three-dimensional medical model.