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公开(公告)号:US20230008836A1
公开(公告)日:2023-01-12
申请号:US17862316
申请日:2022-07-11
Applicant: Align Technology, Inc.
Inventor: Grigoriy YAZYKOV , Andrey ROMANOV , Dmitry KIRSANOV , Vasili KOVALYOV , Sergei POPOV , Vasily PARAKETSOV , Ludmila BOBROVSKAYA , Irina IVANOVA , Boris LIKHTMAN , Valery PROKOSHEV , Alisa TSAREVA , Dmitry MEDNIKOV , Mikhail YUDASHKIN , Konstantin YURYEV , Andrey VERIZHNIKOV , Oleg POPOV , Igor AKOPOV , Evgeniy MOROZOV
Abstract: Methods and apparatuses for adjusting three-dimensional (3D) dental model data of a patient's dentition to detect and remove one or more attachments on a dental structure (e.g., tooth) of the patient's dentition. These methods and apparatuses may be used for generating treatment plans for treating the patient's teeth, including for more accurately and efficiently aligning the patient's teeth.
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2.
公开(公告)号:US20240197449A1
公开(公告)日:2024-06-20
申请号:US18542261
申请日:2023-12-15
Applicant: Align Technology, Inc.
Inventor: Mikhail STROGANOV , Mikhail GORODILOV , Ksenia SHLAPAKOVA , Ilya PASTUSHKOV , Alexander YAROVENKO , Denis PARFENOV , Anna NESTEROVA , Danila CHESNOKOV , Georgiy SHUSHUEV , Sergei POPOV , Vasily PARAKETSOV
CPC classification number: A61C13/0004 , A61C9/004 , G06T7/0014 , G06T7/11 , G16H70/00 , G06T2207/30036
Abstract: Methods and apparatuses to determine the best (e.g., closest) match between a patient's current or jaw configuration and one actual or intended jaw configurations from a series of jaw configurations for the same patient that were previously generated. These methods and/or apparatuses may be used to transform a prior tooth model, from a prior stage or stages of a treatment plan, into a current tooth arrangement. This may include revising the digital model.
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3.
公开(公告)号:US20240122677A1
公开(公告)日:2024-04-18
申请号:US18487047
申请日:2023-10-14
Applicant: Align Technology, Inc.
Inventor: Sergei POPOV , Vasily PARAKETSOV
CPC classification number: A61C7/002 , A61C9/0053 , A61C13/34 , G06T7/0014 , G06T7/74 , G06T19/00 , G06T2207/20081 , G06T2207/20084 , G06T2207/30036 , G06T2210/41
Abstract: Methods and apparatuses for the automatic determination of the quality of a digital three-dimensional (3D) models of a patient's dentition. These methods and apparatuses may determine the if a digital 3D model is of sufficient quality for use in treatment planning and may use a machine learning agent (e.g., neural network) that is trained using a set of defects that are recognized as impacting the quality and/or utility of the digital 3D model for treatment planning of a particular treatment.
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