Abstract: Improved dental models for use in dental procedures are provided. In one aspect, a unitary dental model of an intraoral cavity of a patient having a dental implant comprises a physical surface representative of gingival tissue of the patient. The model can comprise a channel shaped and oriented to receive an abutment corresponding to a physical abutment to be connected to the dental implant, in which the channel extends to an opening in the physical surface. The channel can comprise a first portion shaped to receive and constrain a corresponding structure of the abutment to a position and orientation and a second portion shaped to receive a fastener to couple the abutment to the unitary dental model. In many embodiments, the first portion comprises a shoulder shaped to receive the corresponding structure of the abutment in order to position the abutment along the channel.

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: 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: 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: Improved dental models for use in dental procedures are provided. In one aspect, a unitary dental model of an intraoral cavity of a patient having a dental implant comprises a physical surface representative of gingival tissue of the patient. The model can comprise a channel shaped and oriented to receive an abutment corresponding to a physical abutment to be connected to the dental implant, in which the channel extends to an opening in the physical surface. The channel can comprise a first portion shaped to receive and constrain a corresponding structure of the abutment to a position and orientation and a second portion shaped to receive a fastener to couple the abutment to the unitary dental model. In many embodiments, the first portion comprises a shoulder shaped to receive the corresponding structure of the abutment in order to position the abutment along the channel.

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: In embodiments, a processing device detects a margin line in a model of a preparation from one or more images. The processing device determines, for each segment of a plurality of segments of the margin line, a quality score for the segment. The processing device determines that a segment of the margin line has a quality score that is below a quality threshold, wherein the segment of the margin line was generated based on a first set of images. Responsive to determining that the segment of the margin line has the quality score that is below the quality threshold, the processing devices updates the three-dimensional model of the preparation by replacing a portion of the three-dimensional model associated with the segment of the margin line with image data from at least one of a new image or a second set of images.

Abstract: In embodiments, a processing device generates a three-dimensional model of a dental site from scan data, the three-dimensional model comprising a representation of a tooth, wherein a portion of the three-dimensional model comprises an interfering surface that obscures a portion of the tooth. The processing device receives or generates an image of the tooth, wherein the image depicts the interfering surface. The processing device processes the image to generate a modified image, wherein the portion of the tooth that was obscured by the interfering surface in the image is shown in the modified image. The processing device updates the three-dimensional model of the dental site by replacing, using the modified image, the portion of the three-dimensional model that comprises the interfering surface that obscures the portion of the tooth, wherein the portion of the tooth that was obscured in the three-dimensional model is shown in an updated three-dimensional model.

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: In embodiments, a first 3D model of a patient's teeth based on first intraoral scan data taken at a first time is processed to recognize the teeth in the first 3D model. A second 3D model of the patient's teeth based on second intraoral scan data taken at a second time is processed to recognize the teeth in the second 3D model. The first 3D model is compared to the second 3D model and a plurality of AOIs in the second virtual 3D model representative of at least one of tooth wear, tooth breakage, tooth movement, gingival recession or gingival swelling are determined based on the comparison. The teeth recognized in the first 3D model are compared to the teeth recognized in the second 3D model, and one or more AOIs in the second virtual 3D model representative of tooth wear or tooth breakage are determined based on the comparison.

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: In an implementation, a processing device receives first intraoral scan data generated at a first time and analyzes the first intraoral scan data to determine a first representation of a caries from the first intraoral scan data. The processing device receives second intraoral scan data generated at a second time and analyzes the second intraoral scan data to determine a second representation of the caries from the second intraoral scan data. The processing device compares the second representation of the caries to the first representation of the caries and tracks the caries over time based on a difference between the second representation of the caries and the first representation of the caries.

Abstract: In embodiments, a first 3D model of a patient's teeth based on first intraoral scan data taken at a first time is processed to recognize the teeth in the first 3D model. A second 3D model of the patient's teeth based on second intraoral scan data taken at a second time is processed to recognize the teeth in the second 3D model. The first 3D model is compared to the second 3D model and a plurality of AOIs in the second virtual 3D model representative of at least one of tooth wear, tooth breakage, tooth movement, gingival recession or gingival swelling are determined based on the comparison. The teeth recognized in the first 3D model are compared to the teeth recognized in the second 3D model, and one or more AOIs in the second virtual 3D model representative of tooth wear or tooth breakage are determined based on the comparison.

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: Apparatuses, including sleeves, intraoral scanning systems to use these sleeves, and methods of using the sleeve, that authenticate the sleeve for use with an intraoral scanning system. Authentication may include verifying that the sleeve is new (unused) and/or verifying that the sleeve is appropriate and/or intended for use with the intraoral scanning system. Once authenticated, operation parameters of the intraoral scanning system can be automatically set based on information from a scanned identifier on the sleeve.

Abstract: In a method of generating a virtual 3D model of a dental site, scan data comprising a plurality of images of a dental site is received during an intraoral scan. An analysis of an image is performed. A representation of a reference object with known properties is identified in the image based on the analysis. A virtual 3D model of the dental site is generated based on the plurality of images. The image and/or the virtual 3D model of the dental site is modified by adding additional data about the reference object to the intraoral image and/or the virtual 3D model based on the one or more known properties of the reference object. If the image is modified, it may be modified prior to generation of the virtual 3D model, and the virtual 3D model may be generated using the modified image.

Abstract: In a method of generating a virtual 3D model of a dental site, scan data comprising an intraoral image is received during an intraoral scan of a dental site. A representation of a foreign object is identified in the intraoral image based on an analysis of the scan data. The intraoral image is modified by removing the representation of the foreign object from the intraoral image. Additional scan data comprising a plurality of additional intraoral images of the dental site is received during the intraoral scan. A virtual 3D model of the dental site is then generated using the modified intraoral image and the plurality of additional intraoral 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 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 includes receiving first intraoral scan data comprising a first depiction of a dental site comprising a preparation tooth; generating a virtual three-dimensional (3D) model of the dental site using the first intraoral scan data; processing at least one of the first intraoral scan data or data from the virtual 3D model to identify a margin line of the preparation tooth, wherein at least a portion of the margin line is unclear; outputting instructions to generate second intraoral scan data of the dental site depicting the portion of the margin line that is unclear; receiving the second intraoral scan data; and updating the virtual 3D model of the dental site using the second intraoral scan data, wherein the portion of the margin line that was unclear in the virtual 3D model is replaced with information from the second intraoral scan data.