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公开(公告)号:US20220207737A1
公开(公告)日:2022-06-30
申请号:US17699015
申请日:2022-03-18
Applicant: Align Technology, Inc.
Inventor: Anatoliy Parpara , Ivan Kharpalev , Stephan Albert Alexandre Dumothier , Andrey Cherkas , Alexey Kalinichenko , Jack Shaw , Israel Velazquez
IPC: G06T7/00 , A61C7/00 , A61C13/00 , G01N21/956 , B33Y50/02 , B33Y80/00 , B29C64/393 , A61C7/08 , B29C33/38 , B29C51/26 , B29C51/46 , G06T7/521 , G06T17/10
Abstract: A method includes obtaining image(s) of a dental device, determining file(s) including at least one of a first model of the dental device or a second model of a mold, determining an intended property for the dental device based on at least one of the first model or the second model, and determining an actual property of the dental device from the image(s). The method further includes determining whether a cutline variation, an arch variation, and/or a bend of the dental device is detected between the dental device and the first model and/or the second model by comparing the intended property with the actual property. The method further includes determining whether there is a possible defect in the dental device based on whether the cutline variation exceeds a cutline variation threshold, the arch variation exceeds an arch variation threshold, and/or the bend exceeds a bend threshold.
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公开(公告)号:US11278375B2
公开(公告)日:2022-03-22
申请号:US16584786
申请日:2019-09-26
Applicant: Align Technology, Inc.
Inventor: Yuxiang Wang , Rohit Tanugula , Reza Shirazi Aghjari , Andrew Jang , Chunhua Li , Jun Sato , Luyao Cai , Viktoria Medvinskaya , Arno Kukk , Andrey Cherkas , Anna Akopova , Kangning Su
IPC: G06T15/00 , A61C7/00 , G06F17/18 , G06N20/00 , A61C7/08 , G06F30/23 , G16H50/50 , G01N33/44 , B33Y80/00 , A61C9/00 , A61C13/34 , B29C33/38 , B29C51/30 , G06F119/18 , G06F113/22 , G06F111/10 , B33Y50/00 , B29L31/00
Abstract: Embodiments relate to an aligner breakage solution. A method includes obtaining a digital design of a polymeric aligner for a dental arch of a patient. The polymeric aligner is shaped to apply forces to teeth of the dental arch. The method also includes performing an analysis on the digital design of the polymeric aligner using at least one of a) a trained machine learning model, b) a numerical simulation, c) a geometry evaluator or d) a rules engine. The method may also include determining, based on the analysis, whether the digital design of the polymeric aligner includes probable points of damage, wherein for a probable point of damage there is a threshold probability that breakage, deformation, or warpage will occur. The method may also include, responsive to determining that the digital design of the polymeric aligner comprises probable points of damage, performing corrective actions based on the probable points of damage.
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公开(公告)号:US20220028073A1
公开(公告)日:2022-01-27
申请号:US17493682
申请日:2021-10-04
Applicant: Align Technology, Inc.
Inventor: Anatoliy Parpara , Ivan Kharpalev , Stephan Albert Alexandre Dumothier , Andrey Cherkas , Alexey Kalinichenko , Jack Shaw , Israel Velazquez
Abstract: A method of manufacturing and analyzing a quality of an orthodontic aligner is described. An orthodontic aligner is manufactured by printing a mold associated with a dental arch of a patient based on a digital model of the mold, forming an orthodontic aligner over the mold, and trimming the orthodontic aligner. A quality of the orthodontic aligner is then assessed by imaging the orthodontic aligner to generate a first digital representation of the orthodontic aligner, comparing the first digital representation of the orthodontic aligner to a digital file associated with the orthodontic aligner, determining whether a cutline variation is detected between the orthodontic aligner and the digital file, and determining whether there is a manufacturing defect of the orthodontic aligner based on whether the cutline variation exceeds a cutline variation threshold.
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公开(公告)号:US20200242765A1
公开(公告)日:2020-07-30
申请号:US16851038
申请日:2020-04-16
Applicant: Align Technology, Inc.
Inventor: Anatoliy Parpara , Ivan Kharpalev , Stephan Albert Alexandre Dumothier , Andrey Cherkas , Alexey Kalinichenko , Jack Shaw , Israel Velazquez
Abstract: A system for inspecting a customized dental device associated with a dental application for manufacturing defects is disclosed. The system obtains images of the customized device and identifies an identifier of the customized device. The system determines a digital file associated with the customized device based on the identifier, the digital file including a first digital model of the customized device and/or a second digital model of a mold used during manufacture of the customized device. The system determines an intended property for the customized device based on at least one of the first digital model or the second digital model, determines an actual property of the customized device from the images, determines whether there is a manufacturing defect in the customized device by comparing the intended property for the customized device with the actual property of the customized device, and outputs an output associated with the determination.
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公开(公告)号:US20250017693A1
公开(公告)日:2025-01-16
申请号:US18674414
申请日:2024-05-24
Applicant: Align Technology, Inc.
Inventor: Israel Velazquez , Andrey Cherkas , Stephan Albert Alexandre Dumothier , Anatoliy Parpara , Alexey Geraskin , Yury Slynko , Danila Chesnokov
Abstract: Generating a virtual filer for design of an orthodontic aligner includes inserting the virtual filer in a virtual model of a dental site between at least two naturally adjacent teeth in the virtual model, transforming points of the virtual filer into a voxel volume, and determining a geometry of an updated virtual filer by transforming a surface of the voxel volume into a polygonal mech.
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公开(公告)号:US11880973B2
公开(公告)日:2024-01-23
申请号:US17673711
申请日:2022-02-16
Applicant: Align Technology, Inc.
Inventor: Andrey Cherkas , Danila Chesnokov , Anatoliy Parpara
IPC: G06T7/11 , G06T7/00 , A61C7/08 , A61C7/00 , G06T7/38 , G06T7/32 , G06T17/20 , G06T5/00 , G06T7/136 , B33Y80/00
CPC classification number: G06T7/0012 , A61C7/002 , A61C7/08 , G06T5/002 , G06T7/11 , G06T7/136 , G06T7/32 , G06T7/38 , G06T17/205 , B33Y80/00 , G06T2207/20081 , G06T2207/20084 , G06T2207/20182 , G06T2207/30036
Abstract: Multiple techniques for detecting defects in customized dental appliances are disclosed. In one technique, processing logic obtains one or more images of a customized dental appliance, obtains a digital model associated with the customized dental appliance, and identifies an area of the one or more images that comprises a representation of the customized dental appliance. Processing logic then registers the one or more images to the digital model, compares the area of the one or more images of the customized dental appliance with the digital model of the customized dental appliance, determines a difference between the area of the one or more images that comprises the representation of the customized dental appliance and the digital model of the customized dental appliance at a region, and determines whether the difference satisfies a defect criterion.
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公开(公告)号:US20230157790A1
公开(公告)日:2023-05-25
申请号:US18159598
申请日:2023-01-25
Applicant: Align Technology, Inc.
Inventor: Viktoria Medvinskaya , Arno Kukk , Andrey Cherkas , Anna Akopova , Yuxiang Wang , Rohit Tanugula , Reza Shirazi Aghjari , Andrew Jang , Chunhua Li , Jun Sato , Luyao Cai
IPC: A61C7/00 , G06F17/18 , G06N20/00 , A61C7/08 , G06F30/23 , G16H50/50 , G01N33/44 , B33Y80/00 , A61C9/00 , A61C13/34 , B29C33/38 , B29C51/30 , G06F30/27 , B29C73/00 , G06F30/20
CPC classification number: A61C7/002 , G06F17/18 , G06N20/00 , A61C7/08 , G06F30/23 , G16H50/50 , G01N33/442 , B33Y80/00 , A61C9/004 , A61C13/34 , B29C33/3835 , B29C51/30 , G06F30/27 , B29C73/00 , G06F30/20 , G06F2119/18
Abstract: Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes of training a machine learning model to predict damage to an orthodontic aligner includes gathering a training dataset comprising digital designs for a plurality of orthodontic aligners, wherein each digital design is associated with a respective orthodontic aligner of the plurality of orthodontic aligners, and wherein each digital design comprises metadata indicating whether the associated respective orthodontic aligner was damaged during manufacturing of the associated respective orthodontic aligner. The method further includes training the machine learning model using the training dataset, wherein the machine learning model is trained to process data from a digital design for an orthodontic aligner and to output a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner.
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公开(公告)号:US20210378794A1
公开(公告)日:2021-12-09
申请号:US17411984
申请日:2021-08-25
Applicant: Align Technology, Inc.
Inventor: Israel Velazquez , Andrey Cherkas , Stephan Albert Alexandre Dumothier , Anatoliy Parpara , Alexey Geraskin , Yury Slynko , Danila Chesnokov
Abstract: A virtual filler is inserted in a virtual model of a dental site between a first tooth and a second tooth in the virtual model. One or more of the first tooth or the second tooth represent a natural tooth of a patient. Points of the first tooth, the second tooth and the virtual filler are transformed into a voxel volume. A geometry of an updated virtual filler is determined by transforming a surface of the voxel volume into a polygonal mesh.
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公开(公告)号:US11189021B2
公开(公告)日:2021-11-30
申请号:US16685848
申请日:2019-11-15
Applicant: Align Technology, Inc.
Inventor: Paren Indravadan Shah , Anatoliy Parpara , Andrey Cherkas , Alexey Kalinichenko
IPC: G06T7/00 , G06K9/20 , G06T7/12 , G06T7/11 , G06T7/60 , G06T7/70 , B33Y50/00 , B29C64/386 , H04N5/235
Abstract: Implementations describe systems and methods for machine based defect detection of three-dimensional (3D) printed objects. A method of one embodiment of the disclosure includes providing a first illumination of a 3D printed object using a first light source arrangement. A plurality of images of the 3D printed object are then generated using one or more imaging devices. Each image may depict a distinct region of the 3D printed object. The plurality of images may then be processed by a processing device using a machine learning model trained to identify one or more types of manufacturing defects of a 3D printing process. The machine learning model may provide a probability that an image contains a manufacturing defect. The processing device may then determine, without user input, whether the 3D printed object contains one or more manufacturing defects based on the results provided by the machine learning model.
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公开(公告)号:US20190105128A1
公开(公告)日:2019-04-11
申请号:US16151164
申请日:2018-10-03
Applicant: Align Technology, Inc.
Inventor: Israel Velazquez , Andrey Cherkas , Stephan Albert Alexandre Dumothier , Anatoliy Parpara , Alexey Geraskin , Yury Slynko , Danila Chesnokov
CPC classification number: A61C7/002 , A61C2007/004 , G06T5/002 , G06T17/20 , G06T17/205 , G06T19/00 , G06T2207/30036 , G06T2210/36 , G06T2210/41 , G06T2210/56 , G16H50/50
Abstract: A processing device determines two or more adjacent teeth in a virtual model, the two or more adjacent teeth include a first tooth adjacent to a second tooth in the virtual model. The processing device inserts a first virtual filler in the virtual model between the first tooth and the second tooth. The processing device selects points in the virtual model. A processing device transforms the plurality of points into a voxel volume comprising a plurality of voxels. A processing device performs a smoothing operation on the voxel volume. A processing device subsequent to performing the smoothing operation on the voxel volume, determines a geometry of an updated virtual filler by transforming a surface of the smoothed voxel volume into a polygonal mesh.
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