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:
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:
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:
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:
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:
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:
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:
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:
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.