Abstract: Calibrating an intraoral scanner includes obtaining reference data of a reference three-dimensional (3D) representation of a calibration object and obtaining, based on the intraoral scanner being used by a user to scan the 3D calibration object, and from one or more device to real-world coordinate transformations of two-dimensional (2D) images of the 3D calibration object, measurement data. Calibrating the intraoral scanner further includes aligning the measurement data to the reference data to obtain alignment data and updating, based on the alignment data, said one or more transformations.

Abstract: Methods and apparatuses for taking, using and displaying three-dimensional (3D) volumetric models of a patient's dental arch. A 3D volumetric model may include surface (e.g., color) information as well as information on internal structure, such as near-infrared (near-IR) transparency values for internal structures including enamel and dentin.

Abstract: Removable barrier devices (e.g., sleeves) for covering medical scanning devices to reduce the chance of cross-contamination between patients and/or to protect the scanning devices from physical damage. The barrier device can include a cover that has an integrated window for passing optical signals between the scanning device and an external environment. The cover can include a sleeve that covers a handle portion of the scanning device to prevent contamination of the handle from a user's hand or glove. The cover and sleeve may both be formed of the same flexible material, or the cover may be rigid to maintain the window in a fixed position and the sleeve may be flexible to allow a user to activate a button or touchpad on the handle. An interface region between the cover and sleeve may provide a hermetic seal. The window may include a nanostructured antireflective material to limit internal reflections.

Abstract: Systems, methods, and/or computer-readable media described herein provide technical solutions to the highly technical problems of machine generation of dental restorations. In particular, these systems, methods and/or computer readable media may provide technical solutions to aid in the creation of dental restorations that more closely resemble a natural tooth (including its internal optical structure). These systems, methods and/or computer readable media may help in virtually rendering a tooth, including its internal optical structure, and apply these renderings (e.g., digital models) to the fabrication of the dental restoration.

Abstract: Methods and apparatuses for generating and displaying a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth). These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth.

Abstract: Methods and apparatuses for taking, using and displaying three-dimensional (3D) volumetric models of a patient's dental arch. A 3D volumetric model may include surface (e.g., color) information as well as information on internal structure, such as near-infrared (near-IR) transparency values for internal structures including enamel and dentin.

Abstract: A method comprises obtaining reference data about a 3D calibration object, the reference data comprising known coordinates for a plurality of points on the object, and obtaining measurement data comprising measurements for the plurality of points on the object, the measurement data having been generated based on scanning of the object by an uncalibrated intraoral scanner. The method comprises comparing the measurement data to the reference data to determine differences therebetween and applying the determined differences between the measurement data and the reference data for the plurality of points to a function to generate a compensation model that compensates for one or more inaccuracies of the intraoral scanner. The compensation model is then stored, wherein the compensation model causes the intraoral scanner to be a calibrated intraoral scanner and is usable to correct measurement errors of the intraoral scanner caused by the one or more inaccuracies of the intraoral scanner.

Abstract: An intraoral scanning system comprises and intraoral scanner and a processor. The intraoral scanner comprises one or more cameras and one or more structured light projectors, the intraoral scanner to generate a series of images using the one or more cameras, each image including at least a portion of a pattern projected by the one or more structured light projectors onto an intraoral three-dimensional surface. The processor runs a correspondence algorithm to compute respective three-dimensional positions of a plurality of features of the pattern on the intraoral three-dimensional surface, as captured in the series of images. The processor identifies the computed three-dimensional position of a detected feature of the pattern as corresponding to a particular projector ray r, in at least a subset of the series of images. The processor tracks the particular projector ray r across one or more additional images of the series of images.

Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.

Abstract: Systems, methods, and/or computer-readable media described herein provide technical solutions to the highly technical problems of machine generation of dental restorations. In particular, these systems, methods and/or computer readable media may provide technical solutions to aid in the creation of dental restorations that more closely resemble a natural tooth (including its internal optical structure). These systems, methods and/or computer readable media may help in virtually rendering a tooth, including its internal optical structure, and apply these renderings (e.g., digital models) to the fabrication of the dental restoration.

Abstract: Methods and apparatuses for generating and displaying a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth). These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth.

Abstract: Embodiments relate to techniques for real-time and post-scan visualization of intraoral scan data, which may include 3D images, 3D scans, 3D surfaces and/or 3D models. In one embodiment, an intraoral scanning system comprises a plurality of image sensors to periodically generate a set of intraoral two-dimensional (2D) images, wherein for each set of intraoral 2D images each image sensor of the plurality of image sensors is to generate an intraoral 2D image, and wherein relative positions and orientations of the plurality of image sensors are known. The intraoral scanning system further comprises a computing device, wherein the computing device is to perform the following for each set of intraoral 2D images: generate a combined intraoral image based on merging the set of intraoral 2D images together during scanning; and output the combined intraoral image to a display.

Abstract: An intraoral scanning system includes an intraoral scanner and a computing device. The computing device receive a plurality of intraoral scans from the intraoral scanner during an intraoral scanning session; registers the plurality of intraoral scans together based on overlapping features of the plurality of intraoral scans; generates a first three-dimensional (3D) surface based on the plurality of intraoral scans; receives one or more additional intraoral scans; determines that the one or more additional intraoral scans fail to satisfy one or more registration criteria for registering to at least one of the plurality of intraoral scans or the first 3D surface; and generates a second 3D surface based on the one or more additional intraoral scans.

Abstract: An intraoral scanner includes a probe with a sensing face, patterned light sources that are coupled to the probe, un-patterned light sources coupled to the probe, near infrared (NIR) light sources couple to the probe, cameras coupled to the probe, and a processing device coupled to the probe. The processing device is configured to control an operation of the patterned light sources, the un-patterned light sources, and the NIR light sources.

Abstract: A method for generating a 3D image includes driving structured light projector(s) to project a pattern of light on an intraoral 3D surface, and driving camera(s) to capture images, each image including at least a portion of the projected pattern, each one of the camera(s) comprising an array of pixels. A processor compares a series of images captured by each camera and determines which of the portions of the projected pattern can be tracked across the images. The processor constructs a three-dimensional model of the intraoral three-dimensional surface based at least in part on the comparison of the series of images. Other embodiments are also described.

Abstract: An apparatus for intraoral scanning includes an elongate handheld wand that has a probe. One or more light projectors and two or more cameras are disposed within the probe. The light projectors each has a pattern generating optical element, which may use diffraction or refraction to form a light pattern. Each camera may be configured to focus between 1 mm and 30 mm from a lens that is farthest from the camera sensor. Other applications are also described.

Abstract: A processing device may execute instructions from a computer readable medium to perform operations comprising: making a comparison between first image data of at least a portion of a dental arch and second image data of at least the portion of the dental arch; determining a plurality of differences between a first representation of at least the portion of the dental arch in the first image data and a second representation of at least the portion of the dental arch in the second image data; determining that a first difference of the plurality of differences is attributable to tooth movement; determining that a second difference of the plurality of differences is attributable to tooth wear to one or more teeth on at least a portion of the dental arch; and generating a third representation of at least the portion of the dental arch that is a modified version of the second representation, wherein a visual indication of the tooth wear is provided in the third representation.

Abstract: A system comprises alight source to provide light, an optical system comprises focusing optics to focus the light onto a focal surface, a detector to measure returning light that is reflected off of a three dimensional object, a translation mechanism to displace the focal surface along an imaging axis defined by the optical path, and one or more processor. The one or more processor is to generate measurement data comprising coordinates of a plurality of surface points of the three dimensional object based on the measured returning light; adjust the coordinates of the subset of the plurality of surface points along up to three axes to correct the measurement data so as to remove inaccuracies caused by changes in magnification at the focal surface; and generate a three dimensional model of the three dimensional object using corrected measurement data.

Abstract: An apparatus for intraoral scanning comprises an elongate handheld wand comprising a probe at a distal end, one or more light projectors, and two or more cameras. Each light projector comprises at least one light source configured to generate light and a pattern generating optical element configured to generate a pattern of light when the light is transmitted through the pattern generating optical element. Each camera comprises a camera sensor and one or more lenses and is configured to capture a plurality of images that depict at least a portion of the projected pattern of light on an intraoral surface, wherein each camera is configured to focus at an object focal plane that is located between about 1 mm and about 30 mm from a lens of the one or more lenses that is farthest from the camera sensor.

Abstract: Processing logic makes a comparison between first image data and second image data of a dental arch and determines a plurality of spatial differences between a first representation of the dental arch in the first image data and a second representation of the dental arch in the second image data. The processing logic determines that a first spatial difference is attributable to scanner inaccuracy and that a second spatial difference is attributable to a clinical change to the dental arch. The processing logic generates a third representation of the dental arch that is a modified version of the second representation, wherein the first spatial difference is removed in the third representation, and wherein the third representation comprises a visual enhancement that accentuates the second spatial difference.