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公开(公告)号：US20210100643A1
公开(公告)日：2021-04-08
申请号：US17124366
申请日：2020-12-16
Applicant: Align Technology, Inc.
Inventor： Assaf Weiss , Maxim Volgin , Pavel Agniashvili , Chad Clayton Brown , Alexander Raskhodchikov , Avi Kopelman , Michael Sabina , Moti Ben-Dov , Shai Farkash , Igor Makiewsky , Maayan Moshe , Ofer Saphier
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.
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公开(公告)号：US20210100642A1
公开(公告)日：2021-04-08
申请号：US17124363
申请日：2020-12-16
Applicant: Align Technology, Inc.
Inventor： Assaf Weiss , Maxim Volgin , Pavel Agniashvili , Chad Clayton Brown , Alexander Raskhodchikov , Avi Kopelman , Michael Sabina , Moti Ben-Dov , Shai Farkash , Igor Makiewsky , Maayan Moshe , Ofer Saphier
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.
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53.发明授权公开(公告)号：US10888400B2
公开(公告)日：2021-01-12
申请号：US16814906
申请日：2020-03-10
Applicant: Align Technology, Inc.
Inventor： Gilad Elbaz , Erez Lampert , Yossef Atiya , Avi Kopelman , Ofer Saphier , Maayan Moshe , Shai Ayal , Michael Sabina , Eric Kuo , Assaf Weiss , Doron Malka , Eliahou Franklin Nizard , Ido Tishel
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.
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公开(公告)号：US10390913B2
公开(公告)日：2019-08-27
申请号：US16258516
申请日：2019-01-25
Applicant: Align Technology, Inc.
Inventor： Michael Sabina , Avi Kopelman , Eric Kuo , Gilad Elbaz , Assaf Weiss , Doron Malka , Ofer Saphier , Eliahou Franklin Nizard , Ido Tishel , Shai Ayal , Maayan Moshe
IPC: G07C9/00 , H04W12/06 , H02J7/00 , H04W84/12 , A61C9/00 , A61B5/00 , A61B6/14 , A61C13/00 , A61C13/34
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.
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公开(公告)号：US20170265970A1
公开(公告)日：2017-09-21
申请号：US15610515
申请日：2017-05-31
Applicant: Align Technology, Inc.
Inventor： Tal Verker , Adi Levin , Ofer Saphier , Maayan Moshe
CPC classification number: A61C9/0066 , G01B11/24 , G02B21/006 , G02B23/2446 , G02B23/2461 , G02B23/26 , G02B27/0025
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.
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Patent Agency Ranking
56.发明授权公开(公告)号：US12272067B2
公开(公告)日：2025-04-08
申请号：US18305323
申请日：2023-04-21
Applicant: Align Technology, Inc.
Inventor： Chad C. Brown , Yun Gao , Pavel Agniashvili , Avraham Zulti , Jonathan Coslovsky , Christopher E. Cramer , Roman Gudchenko , Ofer Saphier , Adi Levin , Maayan Moshe , Doron Malka
Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.
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公开(公告)号：US11995839B2
公开(公告)日：2024-05-28
申请号：US17011930
申请日：2020-09-03
Applicant: Align Technology, Inc.
Inventor： Assaf Weiss , Maxim Volgin , Pavel Agniashvili , Chad Clayton Brown , Alexander Raskhodchikov , Avi Kopelman , Michael Sabina , Moti Ben-Dov , Shai Farkash , Igor Makiewsky , Maayan Moshe , Ofer Saphier
CPC classification number: G06T7/12 , A61C13/0004 , A61C13/0019 , A61C13/34 , G06N3/047 , G06N3/08 , G06T7/0012 , G16H30/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/30036
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. 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.
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公开(公告)号：USD1027186S1
公开(公告)日：2024-05-14
申请号：US29827196
申请日：2022-02-17
Applicant: Align Technology, Inc.
Designer： Shai Farkash , Yossef Y. Atiya , Maayan Moshe
Abstract: FIG. 1 is a top perspective view of a dental imaging attachment for a smartphone in accordance with the present invention;
FIG. 2 is a bottom perspective view thereof;
FIG. 3 is another top perspective view thereof;
FIG. 4 is a front elevation view thereof;
FIG. 5 is a back elevation view thereof;
FIG. 6 is a top plan view thereof;
FIG. 7 is a bottom plan view thereof;
FIG. 8 is a right side elevation view thereof; and,
FIG. 9 is a left side elevation view thereof.-
公开(公告)号：US11950981B2
公开(公告)日：2024-04-09
申请号：US18136831
申请日：2023-04-19
Applicant: Align Technology, Inc.
Inventor： Tal Verker , Adi Levin , Ofer Saphier , Maayan Moshe
CPC classification number: A61C9/0066 , G01B11/24 , G02B21/006 , G02B23/2446 , G02B23/2461 , G02B23/26 , G02B27/0025
Abstract: Calibrating an intraoral scanner includes obtaining reference data of a reference three-dimensional (3D) representation of a calibration object and obtaining, based on the intraoral scanner being used by a user to scan the 3D calibration object, and from one or more device to real-world coordinate transformations of two-dimensional (2D) images of the 3D calibration object, measurement data. Calibrating the intraoral scanner further includes aligning the measurement data to the reference data to obtain alignment data and updating, based on the alignment data, said one or more transformations.
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60.发明授权公开(公告)号：US11651494B2
公开(公告)日：2023-05-16
申请号：US17013513
申请日：2020-09-04
Applicant: Align Technology, Inc.
Inventor： Chad C. Brown , Yun Gao , Pavel Agniashvili , Avraham Zulti , Jonathan Coslovsky , Christopher E. Cramer , Roman Gudchenko , Ofer Saphier , Adi Levin , Maayan Moshe , Doron Malka
CPC classification number: G06T7/11 , G06N3/0454 , G06N20/00 , G06T7/0012 , G06T17/205 , G06T19/20 , G16H30/20 , G06T2207/20081 , G06T2207/20084 , G06T2207/30036 , G06T2210/41 , G06T2219/2012
Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.
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