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公开(公告)号：US20230042643A1
公开(公告)日：2023-02-09
申请号：US17880563
申请日：2022-08-03
Applicant: Align Technology, Inc.
Inventor： Ofer Saphier , Shai Ayal , Pavel Agniashvili , Pavel Veryovkin , Maxim Volgin
Abstract: An intraoral scanning system includes an intraoral scanner and a computing device. The computing device receive 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 the plurality of intraoral scans; receives one or more additional intraoral scans; determines that the one or more additional intraoral scans fail to satisfy one or more registration criteria for registering to at least one of the plurality of intraoral scans or the first 3D surface; and generates a second 3D surface based on the one or more additional intraoral scans.
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公开(公告)号：US20200349705A1
公开(公告)日：2020-11-05
申请号：US16837960
申请日：2020-04-01
Applicant: Align Technology, Inc.
Inventor： Mikhail Minchenkov , Pavel Agniashvili , Konstantin Kryzhanovskiy , Evgeny Chelishchev , Tatiana Kurilova
Abstract: A method includes determining the following for each point in a second intraoral scan based on a comparison of a first intraoral scan to the second intraoral scan: whether a surface normal at the point is co-directional with a viewing direction associated with the first intraoral scan, wherein points in the second intraoral scan that have a surface normal that is co-directional with the first viewing direction are back-face points; and whether the point is behind a corresponding point in the first intraoral scan, wherein points in the second intraoral scan that are not behind corresponding points in the first intraoral scan are uncovered points. The method further includes determining a region comprising a plurality of points in the second intraoral scan that are uncovered back-face points, determining that the region satisfies one or more removal criteria, and removing the region from the second intraoral.
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公开(公告)号：US20200349698A1
公开(公告)日：2020-11-05
申请号：US16865162
申请日：2020-05-01
Applicant: Align Technology, Inc.
Inventor： Mikhail Minchenkov , Ran Katz , Pavel Agniashvili , Chad Clayton Brown , Jonathan Coslovsky
Abstract: A method includes processing an input comprising data from an intraoral image using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the intraoral image, a first probability that the pixel belongs to a first dental class and a second probability that the pixel belongs to a second dental class, wherein the first dental class represents excess material, the excess material comprising material other than teeth or gums. The method further includes determining, based on the probability map, one or more pixels in the intraoral image that are classified as excess material. The method further includes hiding or removing from the intraoral image data for the one or more pixels that are classified as excess material.
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24.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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Patent Agency Ranking
26.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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公开(公告)号：US20220148173A1
公开(公告)日：2022-05-12
申请号：US17580554
申请日：2022-01-20
Applicant: Align Technology, Inc.
Inventor： Mikhail Minchenkov , Ran Katz , Pavel Agniashvili , Chad Clayton Brown , Jonathan Coslovsky
Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.
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公开(公告)号：US20210353154A1
公开(公告)日：2021-11-18
申请号：US17390858
申请日：2021-07-30
Applicant: Align Technology, Inc.
Inventor： Ofer Saphier , Pavel Agniashvili , Moti Ben-Dov , Ran Katz , Avi Kopelman , Maxim Volgin , Doron Malka , Avraham Zulti , Pavel Veryovkin , Maayan Moshe , Ido Tishel , Adi Levin , Shai Farkash , Inna Karapetyan , Dina Bova , Edi Fridman , Jonathan Coslovsky
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.
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公开(公告)号：US20210353152A1
公开(公告)日：2021-11-18
申请号：US17390855
申请日：2021-07-30
Applicant: Align Technology, Inc.
Inventor： Ofer Saphier , Pavel Agniashvili , Moti Ben-Dov , Ran Katz , Avi Kopelman , Maxim Volgin , Doron Malka , Avraham Zulti , Pavel Veryovkin , Maayan Moshe , Ido Tishel , Adi Levin , Shai Farkash , Inna Karapetyan , Dina Bova , Edi Fridman , Jonathan Coslovsky
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.
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公开(公告)号：US20210321872A1
公开(公告)日：2021-10-21
申请号：US17230825
申请日：2021-04-14
Applicant: Align Technology, Inc.
Inventor： Ofer Saphier , Pavel Agniashvili , Moti Ben-Dov , Ran Katz , Avi Kopelman , Maxim Volgin , Doron Malka , Avraham Zulti , Pavel Veryovkin , Maayan Moshe , Ido Tishel , Adi Levin , Shai Farkash , Inna Karapetyan , Dina Bova , Edi Fridman , Jonathan Coslovsky
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.
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