Abstract: A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an intraoral scanner for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the intraoral scanner, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on a value associated with a temperature of at least a portion of the imaging apparatus. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

Abstract: Methods and apparatuses (including systems and devices) for modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc. In some implementations one or more automated machine learning agents may modify one or more subsets of 3D models of the subject's oral cavity using height map data to identify, segment and/or modify to mesh regions of a 3D model constructed from a plurality of 2D images of the subject's dental cavity.

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: Methods and systems are described that mark and/or correct margin lines and/or other features of dental sites. In one example a three-dimensional model of a dental site is generated from intraoral scan data of the dental site, the three-dimensional model comprising a representation of a preparation tooth. An image of the preparation tooth is received or generated, the image comprising a height map. Data from the image is processed using a trained machine learning model that has been trained to identify margin lines of preparation teeth, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the image, a probability that the pixel depicts a margin line. The three-dimensional model of the dental site is then updated by marking the margin line on the representation of the preparation tooth based on the probability map.

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 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) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

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: 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 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 performs color measurements of the tooth. The computing device receives the three-dimensional scan 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 information has been received, wherein each color zone indicates a separate region of the tooth that is expected to have approximately uniform color.

Abstract: A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an intraoral scanner for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the intraoral scanner, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on a value associated with a temperature of at least a portion of the imaging apparatus. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

Abstract: An imaging apparatus includes a first and second light source, focusing optics, a probe, a detector, an optical transmission medium and a color sensor. The first light source is to generate light beams that travel through the focusing optics along an optical path to the probe. The probe directs the light beams toward a three dimensional object to be imaged. The detector detects returning light beams that are reflected off of the three dimensional object and directed back through the probe and the focusing optics. The second light source is to generate multi-chromatic light. The optical transmission medium is outside of the optical path and is to receive a ray of the multi-chromatic light reflected off of a spot on the three dimensional object and through the probe. The color sensor is to receive the ray from the optical transmission medium and determine a color of the spot on the three dimensional object.

Abstract: Methods and apparatuses for generating 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) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

Abstract: Methods and apparatuses for generating 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) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

Abstract: A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an imaging apparatus for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the imaging apparatus, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on a value associated with a temperature of at least a portion of the imaging apparatus. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

Abstract: A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an imaging apparatus for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the imaging apparatus, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on a value associated with a temperature of at least a portion of the imaging apparatus. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

Abstract: Methods and apparatuses for generating 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) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

Abstract: Methods and apparatuses for generating 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) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

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.

Abstract: Methods and apparatuses for generating 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) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

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.