Abstract: The present disclosure provides systems and computer implemented methods that include motion compensation in a three-dimensional (3D) scan. Motion compensation can include receiving 3D scans of a dentition, estimating a velocity of the 3D scanner during the 3D scan using a rigid body transformation based on input from a position tracking device in response to input from a 2D imager, and compensating for motion during the 3D scan based on the estimated velocity from the position tracking device.

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: Apparatuses, including sleeves, intraoral scanning systems to use these sleeves, and methods of using the sleeve, that authenticate the sleeve for use with an intraoral scanning system. Authentication may include verifying that the sleeve is new (unused) and/or verifying that the sleeve is appropriate and/or intended for use with the intraoral scanning system. Once authenticated, operation parameters of the intraoral scanning system can be automatically set based on information from a scanned identifier on the sleeve.

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: Embodiments include receiving intraoral scan data comprising a plurality of intraoral images of a dental site generated during scanning of the dental site by an intraoral scanner, a plurality of ink markings each comprising a pattern of ink having been temporarily stamped or tattooed onto a gingival surface at the dental site prior to the scanning of the dental site, wherein at least two intraoral images of the plurality of intraoral images comprise representations of one or more ink markings of the plurality of ink markings. Embodiments further include performing registration between the plurality of intraoral images based at least in part on the one or more ink markings, generating a three-dimensional (3D) model of the dental site using the plurality of intraoral images that have undergone registration, and outputting the generated 3D model to a display.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Abstract: A processing device receives intraoral scan data comprising a plurality of intraoral images of a dental site generated during scanning of the dental site by an intraoral scanner, one or more ink markings or other non-rigid indicia having been applied to the dental site prior to the scanning of the dental site, wherein at least two intraoral images of the plurality of intraoral images comprise representations of the one or more ink markings or other non-rigid indica. The processing device performs registration between the plurality of intraoral images and generates a three-dimensional (3D) model of the dental site using the plurality of intraoral images that have undergone registration, the 3D model of the dental site comprising a representation of the one or more ink markings or other non-rigid indica that were applied to the dental site prior to the scanning of the dental site.

Abstract: A processing device of a system makes a comparison between a current image of an oral cavity of a patient and one or more previously received images of the oral cavity of the patient, the current image and the one or more previously received images having been generated by an intraoral scanner. The processing device determines an amount of overlap between a current field of view of the intraoral scanner and topography scans of the oral cavity based on the comparison. The processing device outputs a warning indicator associated with a positioning of the current field of view of the intraoral scanner responsive to determining that the amount of overlap fails to meet or exceed an overlap threshold.

Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject’s teeth. Methods and processes are provided to image the subject’s teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject’s teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject’s dentition from various perspectives.

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: Apparatuses, including sleeves, intraoral scanning systems to use these sleeves, and methods of using the sleeve, that authenticate the sleeve for use with an intraoral scanning system. Authentication may include verifying that the sleeve is new (unused) and/or verifying that the sleeve is appropriate and/or intended for use with the intraoral scanning system. Once authenticated, operation parameters of the intraoral scanning system can be automatically set based on information from a scanned identifier on the sleeve.

Abstract: A processing device receives images of an oral cavity of a patient generated by an intraoral scanner and subsequently receives an additional image of the oral cavity of the patient. The processing device makes a comparison between the additional image and the previously received images and determines an amount of overlap between the additional image and at least one of the previously received images based on the comparison. The processing device displays image data from at least one of a) the images or b) the additional image. The processing device determines whether or not the amount of overlap meets or exceeds an overlap threshold, and displays one or more visual indicators based on whether or not the amount of overlap meets or exceeds the overlap threshold, wherein the one or more visual indicators indicate whether or not the amount of overlap meets or exceeds the overlap threshold.

Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject's teeth. Methods and processes are provided to image the subject's teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject's teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject's dentition from various perspectives.

Abstract: Embodiments for estimating a surface texture of a tooth are described herein. One method embodiment includes collecting a sequence of images utilizing multiple light conditions using an intra-oral imaging device and estimating the surface texture of the tooth based on the sequence of images.

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: 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: A system comprises an image capture device, an augmented reality (AR) display to display, and a processing device. The processing deice receives image data of a dental arch from the image capture device and processes the image data using a plurality of detection rules, where each detection rule detects one or more dental conditions. The processing device determines a dental condition for the dental arch based on the processing, determines a position of an area of interest on the dental arch, wherein the area of interest is associated with the dental condition, generates a visual overlay comprising an indication of the dental condition at the position of the area of interest, and outputs the visual overlay to the AR display, wherein the visual overlay is superimposed over a view of the dental arch on the AR display at the position of the area of interest.

Abstract: An apparatus for measuring a surface topography of a patient's teeth may include an optical probe, a light source configured to generate incident light, and focusing optics configured to focus one or more wavelengths of the incident light to a fixed focal position external to the optical probe, wherein the fixed focal position is fixed relative to the optical probe. The apparatus may further include a light sensor configured to measure a characteristic of returned light generated by illuminating the patient's teeth with the incident light and a processing unit operable to determine the surface topography of the patient's teeth based on the measured characteristic of the returned light.

Abstract: Embodiments for estimating a surface texture of a tooth are described herein. One method embodiment includes collecting a sequence of images utilizing multiple light conditions using an intra-oral imaging device and estimating the surface texture of the tooth based on the sequence of images.

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.