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公开(公告)号:US11972572B2
公开(公告)日:2024-04-30
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
IPC: G06T15/00 , A61C9/00 , A61C13/34 , G06F18/2431 , G06N3/044 , G06N3/08 , G06T7/00 , G06T7/11 , G06T17/00 , G06T19/20 , G06V10/44 , G06V10/82 , G06V20/64
CPC classification number: G06T7/11 , A61C9/0053 , A61C13/34 , G06F18/2431 , G06N3/044 , G06N3/08 , G06T7/0012 , G06T17/00 , G06T19/20 , G06V10/454 , G06V10/82 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/30036 , G06T2207/30052 , G06T2210/41 , G06T2219/008 , G06T2219/2021 , G06V20/653 , G06V2201/03
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:US20220405934A1
公开(公告)日:2022-12-22
申请号:US17895002
申请日:2022-08-24
Applicant: Align Technology, Inc.
Inventor: Mikhail Minchenkov , Pavel Agniashvili , Konstantin Kryzhanovskiy , Evgeniy Chelishchev , Tatiana Kurilova
Abstract: An intraoral scanning system comprises an intraoral scanner and a computing device. The computing device receives intraoral scans of a dental site from the intraoral scanner, the intraoral scans comprising at least a first intraoral scan and a second intraoral scan. The computing device determines, for each point in the second intraoral scan based on a first comparison of the first intraoral scan to the second intraoral scan, whether the point is a back-face point or an uncovered point. The computing device determines a region comprising a plurality of points in the second intraoral scan that are uncovered points, determines whether the region satisfies one or more removal criteria, and removes the region from the second intraoral scan responsive to determining that the region satisfies the one or more removal criteria.
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公开(公告)号:US11455727B2
公开(公告)日:2022-09-27
申请号:US16837960
申请日:2020-04-01
Applicant: Align Technology, Inc.
Inventor: Mikhail Minchenkov , Pavel Agniashvili , Konstantin Kryzhanovskiy , Evgeniy 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: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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公开(公告)号:US12236607B2
公开(公告)日:2025-02-25
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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公开(公告)号:US12133710B2
公开(公告)日:2024-11-05
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
IPC: A61B5/00 , G06T17/20 , G06V10/764 , G06V10/82 , G06V20/64
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:US12082904B2
公开(公告)日:2024-09-10
申请号:US17390856
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
IPC: A61B5/00 , G06T17/20 , G06V10/764 , G06V10/82 , G06V20/64
CPC classification number: A61B5/004 , A61B5/0033 , A61B5/0088 , A61B5/7267 , A61B5/7475 , G06T17/20 , G06V10/764 , G06V10/82 , G06V20/64 , G06T2210/41
Abstract: A processing device receives a plurality of intraoral scans of a dental arch. The processing device determines, from the plurality of intraoral scans, a first set of intraoral scans that depict a restorative object and a second set of intraoral scans that fail to depict any restorative object. The processing device generates a multi-resolution three-dimensional model of the dental arch, wherein a first portion of the multi-resolution three-dimensional model is generated from the first set of intraoral scans, has a first resolution and represents the restorative object, and wherein a second portion of the multi-resolution three-dimensional model is generated from the second set of intraoral scans, has a second resolution and represents a remainder of the dental arch, wherein the first resolution is greater than the second resolution.
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公开(公告)号:US12062180B2
公开(公告)日:2024-08-13
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
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: 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:US20240221165A1
公开(公告)日:2024-07-04
申请号:US18605780
申请日:2024-03-14
Applicant: Align Technology, Inc.
Inventor: Mikhail Minchenkov , Ran Katz , Pavel Agniashvili , Chad Clayton Brown , Jonathan Coslovsky
IPC: G06T7/11 , A61C9/00 , A61C13/34 , G06F18/2431 , G06N3/044 , G06N3/08 , G06T7/00 , G06T17/00 , G06T19/20 , G06V10/44 , G06V10/82 , G06V20/64
CPC classification number: G06T7/11 , A61C9/0053 , A61C13/34 , G06F18/2431 , G06N3/044 , G06N3/08 , G06T7/0012 , G06T17/00 , G06T19/20 , G06V10/454 , G06V10/82 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/30036 , G06T2207/30052 , G06T2210/41 , G06T2219/008 , G06T2219/2021 , G06V20/653 , G06V2201/03
Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates intraoral scans of a dental site. The computing device processes the intraoral scans using a trained machine learning model to classify points of the intraoral scans into first points having a first dental class and second points having a second dental class; generates a 3D model of the dental site from the intraoral scans; determines first points of the 3D model having the first dental class based on the first points of the intraoral scans and second points of the virtual 3D model having the second dental class based on the second points of the intraoral scans; and removes data for a plurality of the first points of the virtual 3D model having the first dental class to generate a modified virtual 3D model.
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