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: 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: A processing device may receive a plurality of intraoral scans of the patient that were generated by an intraoral scanner, determine a three-dimensional surface of at least a portion of one or more dental arch of the patient using the plurality of intraoral scans, automatically determine whether a restorative dental object is represented in at least one of the three-dimensional surface or one or more intraoral scans of the plurality of intraoral scans, and automatically generate a prescription for treating the one or more teeth based at least in part on at least one of a) a presence or absence of a restorative dental object in at least one of the three-dimensional surface or the one or more intraoral scans or b) a location of the restorative dental object in the one or more dental arch of the patient.

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: A processing device receives a plurality of intraoral scans of a dental arch. The processing device determines, from the plurality of intraoral scans, a first set of intraoral scans that depict a restorative object and a second set of intraoral scans that fail to depict any restorative object. The processing device generates a multi-resolution three-dimensional model of the dental arch, wherein a first portion of the multi-resolution three-dimensional model is generated from the first set of intraoral scans, has a first resolution and represents the restorative object, and wherein a second portion of the multi-resolution three-dimensional model is generated from the second set of intraoral scans, has a second resolution and represents a remainder of the dental arch, wherein the first resolution is greater than the second resolution.

Abstract: A method of generating a 3D model includes: determining a 3D surface comprising a preparation tooth using a first plurality of intraoral scans generated by an intraoral scanner at a first time; receiving one or more additional intraoral scans of the preparation tooth that were generated by the intraoral scanner at a second time; determining a change to one or more portions of the preparation tooth between the three-dimensional surface and the one or more additional intraoral scans; determining, based at least in part on the change to the preparation tooth, whether to use a) the 3D surface, b) data from the one or more additional intraoral scans or c) a combination of the 3D surface and the data from the one or more additional intraoral scans to depict one or more portions of the preparation tooth; and generating the 3D model comprising the preparation tooth.

Abstract: A method of intraoral scanning includes receiving a first one or more intraoral scans of a patient's oral cavity; automatically determining, based on processing of the first one or more intraoral scans, a first scanning role associated with the first one or more intraoral scans, wherein the first scanning role is a first one of an upper dental arch role, a lower dental arch role or a bite role; and determining a first three-dimensional surface associated with the first scanning role.

Abstract: A non-transitory medium includes instructions for generating a three-dimensional virtual model of an intraoral object by receiving surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of an intraoral scanner, wherein the surface scan data comprises data for a plurality of points of the intraoral object, and adjusting the data for one or more of the plurality of points to compensate for one or more inaccuracies associated with at least one of a) different temperatures or b) different positions of the at least one lens. A three-dimensional virtual model of the intraoral object is generated using the adjusted data.

Abstract: An image of a dental arch comprising a preparation tooth is generated by an image capture device associated with an augmented reality (AR) display. The image of the dental arch is registered to previous image data associated with the dental arch. A visual overlay associated with a dental prosthetic to be placed on the preparation tooth is generated based on the registering of the image of the dental arch to the previous image data associated with the dental arch. The visual overlay is output to the AR display, wherein the visual overlay is superimposed over a view of the preparation tooth on the AR display.

Abstract: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: An apparatus is described for measuring surface topography of a patient's teeth. The apparatus may include an optical probe, a light source configured to generate incident light, and focusing optics configured to focus the incident light to a focal plane external to the optical probe, wherein the focal plane is a diagonal focal plane that is non-orthogonal to a direction of propagation of the incident light. 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: 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: A method of using AR for dentistry and orthodontics is provided. An image of a dental arch is received, the image having been generated by an image capture device associated with an augmented reality (AR) display. A processing device registers the image to previous image data associated with the dental arch, compares one or more areas of the dental arch from the image to one or more corresponding areas of the dental arch from the previous image data, determines a position of an area of interest on the dental arch based on the comparing, generates a visual overlay comprising an indication 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: The current document is directed to methods and systems that provide semi-automated and automated training to technicians who use oral-cavity-imaging-and-modeling systems to accurately and efficiently generate three-dimensional models of patients' teeth and underlying tissues. The training methods and systems are implemented either as subsystems within oral-cavity-imaging-and-modeling systems or as separate system in electronic communication oral-cavity-imaging-and-modeling systems. The training methods and systems use an already generated, digital, three-dimensional model of a portion of the oral cavity of a particular patient or of a physical model of a portion of an oral cavity to compute a temporal, translational, and rotational trajectory of an oral-cavity-imaging-and-modeling endoscope, or wand, during a training scan. The temporal, translational, and rotational trajectory is used for a variety of different types of instruction and instructional feedback to facilitate training of technicians.

Abstract: A non-transitory medium includes instructions for generating a three-dimensional virtual model of an intraoral object by receiving surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of an intraoral scanner, wherein the surface scan data comprises data for a plurality of points of the intraoral object, and adjusting the data for one or more of the plurality of points to compensate for one or more inaccuracies associated with at least one of a) different temperatures or b) different positions of the at least one lens. A three-dimensional virtual model of the intraoral object is generated using the adjusted data.

Abstract: A non-transitory medium includes instructions for generating a three-dimensional virtual model of an intraoral object by receiving surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of an intraoral scanner, wherein the surface scan data comprises data for a plurality of points of the intraoral object, and adjusting the data for one or more of the plurality of points to compensate for one or more inaccuracies associated with changes of a shape of a focusing surface. A three-dimensional virtual model of the intraoral object is generated using the adjusted data.

Abstract: A non-transitory medium includes instructions for generating a three-dimensional virtual model of an intraoral object by receiving surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of an intraoral scanner, wherein the surface scan data comprises data for a plurality of points of the intraoral object, and adjusting the data for one or more of the plurality of points to compensate for one or more inaccuracies associated with changes of a shape of a focusing surface. A three-dimensional virtual model of the intraoral object is generated using the adjusted data.

Abstract: A processing device receives, from an image capture device associated with an augmented reality (AR) display, a plurality of images of a face of a patient. The processing device selects a subset of the plurality of images that meet one or more image selection criteria. The selection comprises determining, from the plurality of images, a first image that represents a first position extreme for the face; determining, from the plurality of images, a second image that represents a second position extreme of the face; selecting the first image; and selecting the second image. The processing device further generates a model of a jaw of the patient based at least in part on the subset of the plurality of images that have been selected.

Abstract: A method for distinguishing between types of intraoral areas of interest (AOIs) includes receiving or generating a first 3D model comprising teeth; receiving or generating a second 3D model comprising the teeth; comparing the first 3D model to the second 3D model; determining a difference between the first 3D model and the second 3D model at a dental site comprising a tooth; determining an intraoral AOI that is associated with the difference; determining whether the difference comprises a first type of change indicative of a first type of intraoral AOI or a second type of change indicative of a second type of intraoral AOI; and responsive to determining that the difference comprises the first type of change, determining that the intraoral AOI is the first type of intraoral AOI and generating an indicator of the first type of intraoral AOI for the tooth.

Abstract: A processing device receives one or more images of an intraoral cavity of a patient generated by measuring one or more characteristics of returning light, the returning light having been reflected off one or more surfaces within the intraoral cavity. The processing device subsequently receives an additional image of the intraoral cavity of the patient. The processing device compares the additional image to the one or more previously received images and determines, based on a result of the comparing, that a criterion is not satisfied. The processing device displays image data from at least one of a) the one or more images or b) the additional image. The processing device further displays one or more visual indicators, the one or more visual indicators comprising a warning indicator indicating a potential problem associated with the criterion not being satisfied.