Abstract: A system comprises a scanner and a computing device. The scanner comprises structured light projectors configured to project first structured light at a first time and second structured light at a second time, one or more non-structured light projectors to project non-structured light at the second time, and one or more cameras to capture first image data of the first structured light and second image data of the second structured light and the non-structured light. The computing device is configured to generate a 3D surface based on the first image data, separate a structured light portion of the second image data from a non-structured light portion of the second image data, determine a position and orientation of the non-structured light portion relative to the 3D surface based on the structured light portion, and augment the 3D surface using the non-structured light portion of the second image data.

Abstract: A system comprises an intraoral scanner comprising one or more cameras that define a field of view (FOV) of the intraoral scanner, and a computing device. The computing device is configured to: process intraoral scans to generate a three-dimensional (3D) surface of a dental site during an intraoral scanning session; output a representation of the 3D surface to a display; determine a current position and orientation of the FOV of the intraoral scanner relative to the 3D surface; output a representation of the FOV of the intraoral scanner at the current position and orientation relative to the 3D surface to the display; determine suggested next positions and orientations of the FOV of the intraoral scanner relative to the 3D surface; and output the suggested next positions and orientations of the FOV of the intraoral scanner relative to the 3D surface to the display.

Abstract: An apparatus (system, device, method, and the like) is disclosed for refining a three-dimensional (3D) model, particularly 3D models of a subject’s dentition. An initial 3D model is received or generated along with a plurality of two-dimensional (2D) images corresponding to the 3D model. The 3D model is refined using edge boundaries of a space around or between two or more objects of the 3D model identified from the 2D images.

Abstract: Systems for modeling a digital articulator may include a processor in electronic communication with an extraoral imaging device and an intraoral imaging device and a non-transitory computer readable medium having instructions stored thereon that when executed by the processor capture 3D data of the patient's face in with the extraoral imaging device, capture a 3D model of the patient's dentition, align the 3D model of the patient's dentition with 3D data of the patient's face, generate an estimate of the temporomandibular joint characteristics based on the 3D model of the patient's face, and derive digital articular settings for a digital articular based on the 3D model of the patient's dentition with the 3D data of the patient's face and the estimate of the temporomandibular joint characteristics.

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: Systems and methods for monitoring scanning accuracy are provided. In some embodiments, a method for monitoring accuracy of an intraoral scanner includes receiving results of at least one intraoral scanning session. The at least one intraoral scanning session can involve obtaining scan data of an intraoral structure from a scanner and combining the scan data to generate a 3D digital representation of the intraoral structure. The method can include evaluating scanning accuracy of the scanner based on the results of the at least one intraoral scanning session, and outputting an indication of the scanning accuracy on a display.

Abstract: An apparatus (system, device, method, and the like) is disclosed for refining a three-dimensional (3D) model, particularly 3D models of a subject's dentition. An initial 3D model is received or generated along with a plurality of two-dimensional (2D) images corresponding to the 3D model. The 3D model is refined using edge boundaries of a space around or between two or more objects of the 3D model identified from the 2D images.

Abstract: A method may include obtaining a first 3D model of an upper jaw of a patient using an intraoral scanner and obtaining a second 3D model of the lower jaw of the patient using the intraoral scanner. The method may also include capturing a series of 2D images of the upper and lower jaws of the patient as the patient is moves the upper jaw and lower jaw in dynamic occlusion and processing the captured series of 2D images to identify features associated with the upper jaw of the patient and the lower jaw of the patient. For each 2D image in the captured series of 2D images, the method may include identifying a relative position of the first 3D model and the second 3D model based on alignment of features in the first 3D model and second 3D model with the features identified in the 2D image to generate a series of relative positions of the first 3D model and the second 3D model.

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.

Abstract: A method may include receiving a 3D model of the patient's upper jaw, receiving a 3D model of the patient's lower jaw, and receiving a model of the patient's upper jaw in occlusion with the patient's lower jaw. The method may also include adjusting a shape of the one or both of the 3D model of the patient's upper jaw and the 3D model of the patient's lower jaw based on the model of the model of the patient's upper jaw in occlusion with the patient's lower jaw and fitting, after adjusting, the 3D model of the patient's upper jaw and the 3D model of the patient's upper jaw. The method may also include generating occlusion map for the patient based on the fitting of the adjusted model of the upper law and the adjusted model of the lower jaw.

Abstract: An intraoral scanning system includes an intraoral scanner and a computing device. The computing device receives a plurality of intraoral scans from the intraoral scanner during an intraoral scanning session; registers the plurality of intraoral scans together based on overlapping features of the plurality of intraoral scans; generates a first three-dimensional (3D) surface based on some of the plurality of intraoral scans; generates a second 3D surface based on others of the plurality of intraoral scans that don't satisfy registration criteria for registering to the first 3D surface, and eventually stitch the second 3D surface to the first 3D surface to generate a combined 3D surface based on further intraoral scans of the plurality of intraoral scans.

Abstract: An intraoral scanner system includes a probe, un-patterned light sources, fluorescence-inducing light sources and near infrared (NIR) light sources couple to the probe. The system includes cameras coupled to the probe. The system including one or more processing devices configured to control an operation of the un-patterned light sources, the fluorescence-inducing light sources and the NIR light sources. The one or more processing devices are configured to alternately illuminate the dental site using different light sources among the un-patterned light sources, the fluorescence-inducing light sources, and the near infrared (NIR) light sources to generate a first image corresponding to the dental site and a second image corresponding to the dental site. The one or more processing devices are further configured to generate, using the first image and the second image, a composite image that reduces a loss of image contrast from returning light from the dental site.

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 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: 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 includes a scanner configured to generate image data of dental arches, a data store configured to store the image data, and a computing device. The computing device is to: perform an analysis of a representation of a dental arch from first image data and a second representation of the dental arch from second image data; determine that gingival recession has occurred at first regions and that tooth wear has occurred at second regions based on the analysis; generate a first color visual overlay that identifies the first regions; generate a second color visual overlay that identifies the second regions; receive user selection of at least one type of clinical issue on the dental arch; and output, to a display and in accordance with the user selection, the representation of the dental arch and at least one of the first color visual overlay or the second color visual overlay.

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 structured light pattern, wherein the structured light pattern comprises first pattern features of a first type and second pattern features of a second type, and two or more cameras disposed in the probe and configured to acquire one or more sets of images. The processor is configured to solve a correspondence problem within each set of images such that first points in 3D space are determined based on a captured subset of the first pattern features and a corresponding projected subset of the first pattern features and second points in 3D space are determined based on a captured subset of the second pattern features and a corresponding projected subset of the second pattern features.

Abstract: An intraoral scanner comprises a first light source configured to generate first light that is monochromatic, a second light source configured to generate second light that is multichromatic, a third light source configured to generate third light. The intraoral scanner further comprises a mirror configured to direct at least the first light and the second light onto teeth of a patient, and to redirect first returning light, second returning light, and third returning light returning from the teeth to one or more sensors, wherein first returning light is associated with the first light, the second returning light is associated with the second light, and the third returning light is associated with the third light. The scanner further comprises the one or more sensors configured to perform hyperspectral imaging of the teeth based on at least one of the first returning light, the second returning light, or the third returning light.

Abstract: Methods and apparatuses that may improve the accuracy of three-dimensional models from intraoral scan data using edge mapping of an un-patterned illumination images (e.g., white light, near-infrared light, fluorescent light, etc.) and a depth map from a 3D model of the dentition generated from the same intraoral scan as the un-patterned illumination image. This method involves generating an alignment transform using edges identified in an un-patterned illumination image captured during an intraoral scan and images of taking patterned illumination scans, to match edges extracted from the uniform light image with edges in the 3D model (and/or from the patterned illumination image).

Abstract: Described herein are intraoral scanning apparatuses comprising visible light and near-infrared (near-IR) light images from a patient's dentition. These apparatuses may display a 3D model of the patient's dental arch and a plurality of images of the patient's dental arch taken from different angles and positions relative to the patient's dental arch, and may both generate and display a two-dimensional (2D) image based on a relative angle and position between the indicator relative to the 3D model of the patient's dental arch.