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公开(公告)号：US11707238B2
公开(公告)日：2023-07-25
申请号：US17017613
申请日：2020-09-10
Applicant: Align Technology, Inc.
Inventor： Maayan Moshe , Shai Ayal , Jonathan Coslovsky , Adi Levin , Avraham Zulti , Shai Farkash
CPC classification number: A61B6/14 , A61B6/463 , A61B6/465 , A61B6/5211 , A61C9/004 , A61N5/103 , A61C9/0053
Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject's teeth. Methods and processes are provided to image the subject's teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject's teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject's dentition from various perspectives.
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公开(公告)号：US11238586B2
公开(公告)日：2022-02-01
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
IPC: G06T15/00 , G06T7/00 , A61C13/34 , A61C9/00 , G06N3/08 , G06N3/04 , G06T17/00 , G06K9/62 , G06T19/20
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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公开(公告)号：US11232573B2
公开(公告)日：2022-01-25
申请号：US17013518
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
Abstract: Methods and apparatuses (including systems and devices) for modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc. In some implementations one or more automated machine learning agents may modify one or more subsets of 3D models of the subject's oral cavity using height map data to identify, segment and/or modify to mesh regions of a 3D model constructed from a plurality of 2D images of the subject's dental cavity.
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14.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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Patent Agency Ranking
15.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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