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: 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: A system for scanning a dentition may include an intraoral scanner, a processor, and memory storing instructions that when executed by the one or more processors may cause the system to receive point cloud data of a patient's detention, and generate a plurality of possible models of the patient's dentition based on the received point cloud data by manipulating an aspect of the point cloud data multiple times, for each manipulation of the point cloud data, generating a possible model of the patient's dentition to generate the plurality of possible models of the patient's dentition and determine a position variance between positions of respective dental features of the patient's detention between each of the possible models of the of the patient's dentition. The system may also output a depiction of the scanned location on the patient's detention based the measured range of possible models.

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 intraoral scanning device and a processor. The intraoral scanning device comprises a wand including a probe, one or more light projectors disposed in the probe and configured to project a non-coded structured light pattern comprising pattern features, two or more cameras disposed in the probe and configured to acquire one or more sets of images each including one or more image features of at least a portion of the projected non-coded structured light pattern, and a mirror, wherein a light projector and a camera are positioned to face the mirror. The processor is configured to solve a correspondence problem within each set of images such that points in 3D space are determined based on the one or more image features, wherein said points form a solution to the correspondence problem, and wherein the correspondence problem is solved for one or more pattern features.

Abstract: A system includes an intraoral scanner and a computing device operatively connected to the intraoral scanner. The intraoral scanner generates three-dimensional scan data of a tooth and further generates color data of the tooth under multi-chromatic light. The computing device receives the three-dimensional scan data and the color data of the tooth during a first mode of operation. The computing device invokes a second mode of operation, and presents, in a graphical user interface (GUI), an image of the tooth. The computing device further presents, in the GUI, data indicating a plurality of color zones of the tooth and further indicating, for at least one color zone of the plurality of color zones, that insufficient color data has been received, wherein each color zone indicates a separate region of the tooth that is expected to have approximately uniform color.

Abstract: An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

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 system includes a scanner comprising a light source to emit light onto an object, and an image sensor to form a sequence of images of the object under a plurality of different conditions. The system includes a computing device to perform a calibration of the scanner by determining, from the sequence of images, differences in measured coordinates for a plurality of points on the object under the plurality of different conditions, generating or updating one or more compensation models that compensate for inaccuracies of the intraoral scanner based at least in part on the differences in the measured coordinates for the plurality of points of the object between the plurality of different conditions, and storing the one or more compensation models. The one or more compensation models cause the intraoral scanner to be a calibrated intraoral scanner.

Abstract: An intraoral scanner includes a probe housing disposed at a distal end of an elongate wand. The intraoral scanner further includes a window structure coupled to the probe housing. The window structure and the probe housing form an interior volume. The window structure has a concave transverse cross section. The intraoral scanner further includes optical components disposed within the interior volume. The optical components include a first camera having a first orientation and a second camera having a second orientation that is different than the first orientation. The first camera and the second camera are to capture images of dental sites.

Abstract: An intraoral scanner includes a probe housing disposed at a distal end of an elongate wand. The probe housing forms an interior volume. The intraoral scanner further includes a distributed projector disposed in the interior volume. The distributed projector includes a diode module including a laser diode configured to emit a beam of light. The distributed projector further includes a lens module including a first pattern generating optical element configured to generate structured light based on at least a first portion of the beam of light. The lens module is disposed at least a threshold distance from the diode module.

Abstract: A method includes receiving intraoral scan data of dental site of a patient, generating a virtual three-dimensional (3D) model of the dental site using the intraoral scan data, and outputting a view of the virtual 3D model to a display. The method further includes identifying a plurality of areas of interest (AOIs) on the virtual 3D model, determining adjustments to the view of the virtual 3D model to transition between views of the plurality of AOIs, and automatically adjusting the view of the virtual 3D model based on the determined adjustments.

Abstract: A dental scanning system comprises an intraoral scanner and one or more processors. The intraoral scanner comprises one or more light projectors configured to project a pattern (comprising a plurality of pattern features) on a surface of a dental object, and two or more cameras configured to acquire one or more sets of images, wherein each set of images comprises at least one image from each camera, and wherein each image includes at least a portion of the projected pattern. The processors are configured to determine one or more image features within each set of images, solve a correspondence problem within each set of images such that points in 3D space are determined based on the image features, wherein said points form a solution to the correspondence problem, and wherein the correspondence problem is solved for groups of pattern features, and generate a digital 3D representation of the dental object using the solution to the correspondence problem.

Abstract: An intraoral scanning system comprises an elongate handheld wand with a probe at a distal end, a structured light projector configured to project a uniform structured light pattern onto an object, a plurality of cameras configured to capture points of the uniform structured light pattern projected onto the object by the structured light projector, and one or more processors. The one or more processors are configured to determine a correspondence between projected points in the uniform structured light pattern generated by the structured light projector and captured points of the uniform structured light pattern captured by the plurality of cameras viewing the uniform structured light pattern projected onto the object, and to use triangulation and the determined correspondence to determine three-dimensional points in space associated with the captured points of the uniform structured light pattern captured by the plurality of cameras.

Abstract: A system for tooth shade imaging in dental treatment may include one or more processors and memory having instructions that when executed by the one or more processors may cause the system to receive scan data of a patient's dentition, determine that a tooth of interest for shade capture is within a field of view of a shade capture device, capture a first shade of the tooth of interest before tooth preparation, capture a second shade of the tooth of interest after tooth preparation, generate a digital model of the tooth of interest after tooth preparation, and model a third shade resulting from placing a prosthetic on the tooth of interest after tooth preparation using the digital model of the tooth of interest after tooth preparation including the second shade and a digital model of the prosthetic.

Abstract: Apparatuses (e.g., systems, devices, etc.) and method for scanning both a subject's intraoral cavity as well as detecting, using the same scanner, e.g., wand, finger gestures and executing command controls based on these detected finger gestures.

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: Intraoral scanning systems configured to perform computer-implemented methods for identifying dental features. The methods may include engaging a trained machine learning network to identify one or more dental features in one or more regions of a patient's dentition. Each of the dental features may be present in at least one of multiple records. Each of the records may include multiple images of the patient's dentition and may be taken with a different imaging modality. The confidence score may be determined or adjusted using a 3D model of the patient's dentition. The confidence score may be determined or adjusted based on the region of the patient's dentition within each record. The methods may include displaying an indicator of each dental feature that has a confidence score that is above a threshold on the 3D model of the patient's dentition, and modifying the display as a user adjusts the threshold.

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: 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.