Abstract: A computing device comprises a processor that uses a field curvature model that is calibrated to a confocal imaging apparatus. The processor receives intensity measurements generated by pixels of a detector of the confocal imaging apparatus. The processor determines, for each pixel, a focusing setting of the confocal imaging apparatus that provides a maximum measured intensity. The processor determines, for each pixel, a depth of a point of a 3D object associated with the pixel that corresponds to the determined focusing setting. The processor adjusts the depth of at least one point of the 3D object based on applying the determined focusing setting for the pixel associated with the at least one point to the field curvature model to compensate for a non-flat focal surface of the confocal imaging apparatus. The processor determines a shape of the 3D object based at least in part on the adjusted depth.

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: Orthodontic and/or dental treatment planning methods and apparatuses. In particular, described herein are methods of generating a plurality of potential treatment plan variations for the concurrent and interactive review of the treatment plan variations. Each variation may be optimized to best address the user's treatment goals, as well as approximating as closely as possible an ideal or target final position. Also described herein are orthodontic and/or dental treatment planning methods and apparatuses that allow a user to form, modify, and select a treatment plan from a plurality of different treatment plans, in real time.

Abstract: An apparatus is described for measuring surface topography of a three-dimensional structure. In many embodiments, the apparatus is configured to focus each of a plurality of light beams to a respective fixed focal position relative to the apparatus. The apparatus measures a characteristic of each of a plurality of returned light beams that are generated by illuminating the three-dimensional structure with the light beams. The characteristic is measured for a plurality of different positions and/or orientations between the apparatus and the three-dimensional structure. Surface topography of the three-dimensional structure is determined based at least in part on the measured characteristic of the returned light beams for the plurality of different positions and/or orientations between the apparatus and the three-dimensional structure.

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: 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 processing device performs image registration between a plurality of intraoral images of a dental site. The processing device identifies a candidate intraoral area of interest from a first intraoral image of the plurality of intraoral images. The processing device verifies the candidate intraoral area of interest as an intraoral area of interest based on a comparison of a second intraoral image to the first intraoral image. The processing device displays a view of the dental site where the intraoral area of interest is hidden and an indication of the hidden intraoral area of interest is visible.

Abstract: Methods and systems for scanning an intraoral cavity of a patient provide capturing one or more viewfinder images of the intraoral cavity and scanning the intraoral cavity with an intraoral scanner to generate one or more topography scans of the intraoral cavity. The one or more topography scans may correspond to the one or more viewfinder images. The methods and systems further provide capturing a viewfinder image of a portion of the intraoral cavity, the viewfinder image overlapping with the one or more viewfinder images. An area of overlap of the viewfinder image with the one or more viewfinder images can be determined. One or more indicators of the area of overlap can be displayed on one or more locations of a display in order to provide guidance for positioning a field of view of the intraoral scanner.

Abstract: Data from an intraoral scan is received, the data comprising a plurality of intraoral images of a dental site. At least two intraoral images are identified that comprise a representation of at least a portion of a non-rigid object that was affixed to the dental site at a target area. Image registration is performed between the at least two intraoral images using the non-rigid object identified in the at least two intraoral images. A 3D model of the dental site is generated based on the image registration. A representation of the non-rigid object is subtracted from the 3D model based on the known properties of the non-rigid object. A surface of a portion of the dental site is interpolated where the non-rigid object was located based on a) data for other portions of the dental site and b) the surface of the base of the non-rigid object.

Abstract: During an intraoral scan session, a processing device receives a first intraoral image of a dental site and identifies a candidate intraoral area of interest from the first intraoral image. The processing device receives a second intraoral image of the dental site and verifies the first candidate intraoral area of interest as an intraoral area of interest based on comparison of the second intraoral image to the first intraoral image. The processing device then provides an indication of the intraoral area of interest during the intraoral scan session.

Abstract: An adhesive object for placement in a patients mouth includes a body with an upper surface and a lower surface, the body having a shape. A lower surface of the body includes an adhesive. An upper surface of the body includes a feature that may be detectable by an intraoral scanner, wherein at least one of the shape of the body or the feature on the upper surface provides a geometrical reference point for image registration of images generated by the intraoral scanner.

Abstract: An apparatus is described for measuring surface topography of a three-dimensional structure. In many embodiments, the apparatus is configured to focus each of a plurality of light beams to a respective fixed focal position relative to the apparatus. The apparatus measures a characteristic of each of a plurality of returned light beams that are generated by illuminating the three-dimensional structure with the light beams. The characteristic is measured for a plurality of different positions and/or orientations between the apparatus and the three-dimensional structure. Surface topography of the three-dimensional structure is determined based at least in part on the measured characteristic of the returned light beams for the plurality of different positions and/or orientations between the apparatus and the three-dimensional structure.

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: A processing device receives a first virtual 3D model and a second virtual 3D model, each comprising one or more teeth of a patient. The processing device compares the first virtual 3D model to the second virtual 3D model and determines, as a result of the comparing, a difference between the first virtual 3D model and the second virtual 3D model at a dental site comprising a tooth of the one or more teeth. The processing device determines whether the difference comprises a first type of change to the tooth that is indicative of tooth wear or a second type of change to the tooth that is indicative of tooth movement associated with orthodontic treatment. Responsive to determining that the first difference comprises the first type of change to the first tooth, the processing device generates a first indicator of the tooth wear for the tooth.

Abstract: Methods and systems for scanning an intraoral cavity of a patient provide capturing one or more viewfinder images of the intraoral cavity and scanning the intraoral cavity with an intraoral scanner to generate one or more topography scans of the intraoral cavity. The one or more topography scans may correspond to the one or more viewfinder images. The methods and systems further provide capturing a viewfinder image of a portion of the intraoral cavity, the viewfinder image overlapping with the one or more viewfinder images. An area of overlap of the viewfinder image with the one or more viewfinder images can be determined. One or more indicators of the area of overlap can be displayed on one or more locations of a display in order to provide guidance for positioning a field of view of the intraoral scanner.

Abstract: An apparatus is described for measuring surface topography of a three-dimensional structure. In many embodiments, the apparatus is configured to focus each of a plurality of light beams to a respective fixed focal position relative to the apparatus. The apparatus measures a characteristic of each of a plurality of returned light beams that are generated by illuminating the three-dimensional structure with the light beams. The characteristic is measured for a plurality of different positions and/or orientations between the apparatus and the three-dimensional structure. Surface topography of the three-dimensional structure is determined based at least in part on the measured characteristic of the returned light beams for the plurality of different positions and/or orientations between the apparatus and the three-dimensional structure.

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: 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: 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: 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.