公开(公告)号：US20240087184A1

公开(公告)日：2024-03-14

申请号：US18465862

申请日：2023-09-12

Applicant: Align Technology, Inc.

Inventor： Yun GAO ,  Chao SHI ,  Christopher E. CRAMER

IPC: G06T11/00 ,  H04N1/60 ,  H04N1/62

CPC classification number: G06T11/001 ,  H04N1/6075 ,  H04N1/608 ,  H04N1/622 ,  G06T2210/41

Abstract: Methods, apparatuses, and systems are disclosed for simulating a tooth whitening procedure. The simulation may generally obtain a patient's two-dimensional or three-dimensional dental scan and color space convert color information from a first or native color space to a color space based on an International Commission on Illumination color space (CIELAB). The simulation may include modifying color information in the CIELAB color space then returning the modified color information to the native color space.

公开(公告)号：US20240024075A1

公开(公告)日：2024-01-25

申请号：US18340025

申请日：2023-06-22

Applicant: Align Technology, Inc.

Inventor： Guotu LI ,  Christopher E. CRAMER

IPC: A61C7/00 ,  G06T19/20 ,  G06T7/13 ,  G06T7/11 ,  G06T7/00 ,  G16H50/50 ,  G16H30/40 ,  G16H20/40 ,  G06N3/04 ,  G06N3/084 ,  G06T17/20

CPC classification number: A61C7/002 ,  G06T19/20 ,  G06T7/13 ,  G06T7/11 ,  G06T7/97 ,  G16H50/50 ,  G16H30/40 ,  G16H20/40 ,  G06N3/04 ,  G06N3/084 ,  G06T17/20 ,  G06T2207/20084 ,  A61C2007/004 ,  G06T2210/56 ,  G06T2210/41 ,  G06T2207/30036 ,  G06T2207/20081

Abstract: Provided herein are systems and methods for optimizing a 3D model of an individual's teeth. A 3D dental model may be reconstructed from 3D parameters. A differentiable renderer may be used to derive a 2D rendering of the individual's dentition. 2D image(s) of an individual's dentition may be obtained, and features may be extracted from the 2D image(s). Image loss between the 2D rendering and the 2D image(s) can be derived, and back-propagation from the image loss can be used to calculate gradients of the loss to optimize the 3D parameters. A machine learning model can also be trained to predict a 3D dental model from 2D images of an individual's dentition.

公开(公告)号：US20220262007A1

公开(公告)日：2022-08-18

申请号：US17671406

申请日：2022-02-14

Applicant: Align Technology, Inc.

Inventor： Christopher E. CRAMER ,  Pavel AGNIASHVILI ,  Chad Clayton BROWN

IPC: G06T7/162 ,  G06N3/08 ,  G06T17/20 ,  G06T7/11 ,  G06V10/774 ,  G06V10/82 ,  A61C13/34

Abstract: Provided herein are systems and methods for automatically segmenting a 3D model of a patient's teeth. A patient's dentition may be scanned. The scan data may be converted into a 3D model, including a graph-based representation of the 3D model. The graph-based representation can be input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components. Trained machine learning models can also be used to segment graph-based representations of a 3D model of a patient's teeth.

公开(公告)号：US20210196434A1

公开(公告)日：2021-07-01

申请号：US17138824

申请日：2020-12-30

Applicant: Align Technology, Inc.

Inventor： Christopher E. CRAMER ,  Roman GUDCHENKO ,  Dmitrii ISCHEYKIN ,  Vasily PARAKETSOV ,  Sergey GREBENKIN ,  Denis DURDIN ,  Dmitry GUSKOV ,  Nikolay ZHIRNOV ,  Mikhail GORODILOV ,  Ivan POTAPENKO ,  Anton BASKANOV ,  Elizaveta BORD ,  Alexander VOVCHENKO ,  Roman SOLOVYEV ,  Aleksandr Sergeevich KARSAKOV ,  Aleksandr ANIKIN ,  Mikhail TOPORKOV

IPC: A61C9/00 ,  A61C13/34 ,  G06T17/20 ,  G06T7/143

Abstract: Provided herein are systems and methods for automatically segmenting a 3D model of a patient's teeth. A patient's dentition may be scanned. The scan data may be converted into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.

公开(公告)号：US20210074061A1

公开(公告)日：2021-03-11

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

IPC: G06T17/20 ,  G06T19/20 ,  G16H30/20 ,  G06N20/00

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.

公开(公告)号：US20240293205A1

公开(公告)日：2024-09-05

申请号：US18406086

申请日：2024-01-05

Applicant: Align Technology, Inc.

Inventor： Christopher E. CRAMER ,  Roman GUDCHENKO ,  Dmitrii ISCHEYKIN ,  Vasily PARAKETSOV ,  Sergey GREBENKIN ,  Denis DURDIN ,  Dmitry GUSKOV ,  Nikolay ZHIRNOV ,  Mikhail GORODILOV ,  Ivan POTAPENKO ,  Anton BASKANOV ,  Elizaveta ULIANENKO ,  Alexander VOVCHENKO ,  Roman SOLOVYEV ,  Aleksandr Sergeevich KARSAKOV ,  Aleksandr ANIKIN ,  Mikhail TOPORKOV

IPC: A61C9/00 ,  A61C13/34 ,  G06T7/143 ,  G06T17/20

CPC classification number: A61C9/0053 ,  A61C13/34 ,  G06T7/143 ,  G06T17/20 ,  G06T2207/30036 ,  G06T2210/41

Abstract: Provided herein are systems and methods for automatically segmenting a 3D model of a patient's teeth. A patient's dentition may be scanned. The scan data may be converted into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.

公开(公告)号：US20240216106A1

公开(公告)日：2024-07-04

申请号：US18404867

申请日：2024-01-04

Applicant: Align Technology, Inc.

Inventor： Jeeyoung CHOI ,  Palak MITTAL ,  Yuxiang WANG ,  Xiaogang WANG ,  Zhaonan SUN ,  Yi-Lin CHIU ,  Kangning SU ,  Bastien PESENTI ,  Christopher E. CRAMER ,  Ravi PATEL ,  Ken WU ,  Konstantin STOLYAROV ,  Vladimir CHISTYAKOV

IPC: A61C7/00 ,  A61C7/08 ,  G06T7/00 ,  G16H10/60

CPC classification number: A61C7/002 ,  A61C7/08 ,  G06T7/00 ,  G16H10/60 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036

Abstract: Apparatuses and methods for assessing a dental x-ray image and predicting tooth eruption and/or exfoliation. The apparatuses may use one or more trained neural networks to assess a patient's x-rays as well as dental measurements determined from the patient's x-rays to predict approximately when a permanent tooth may erupt to replace a baby tooth. The neural networks may be trained using a data training set of x-ray images and accompanying dental measurement data.

公开(公告)号：US20230225832A1

公开(公告)日：2023-07-20

申请号：US18157067

申请日：2023-01-19

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Christopher E. CRAMER ,  Chad Clayton BROWN ,  Guotu LI

IPC: A61C7/00 ,  A61C7/14 ,  G06T7/12 ,  G06T7/62

CPC classification number: A61C7/002 ,  A61C7/146 ,  G06T7/12 ,  G06T7/62 ,  G06T2207/30036

Abstract: A method for dental treatment may include receiving a plurality of images of a patient's dentition, identifying, from the plurality of images, individual teeth of the patient's dentition, detecting, from the plurality of images, one or more attachments on the patient's dentition, assigning, based on each of the plurality of images, each of the one or more attachments to one of the individual teeth in each image, and combining the assignments of each of the plurality of images for attachment detection results.

公开(公告)号：US20230225831A1

公开(公告)日：2023-07-20

申请号：US18157062

申请日：2023-01-19

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Christopher E. CRAMER ,  Chad Clayton BROWN ,  Guotu LI

IPC: A61C7/00 ,  A61C7/08 ,  G16H20/40 ,  G16H10/60 ,  G06T7/00

CPC classification number: A61C7/002 ,  A61C7/08 ,  G16H20/40 ,  G16H10/60 ,  G06T7/0012 ,  G06T2207/30036

Abstract: A method for dental treatment may include receiving a plurality of images of a patient, the plurality of images including the patient's dentition and an orthodontic appliance while the patient is wearing the orthodontic appliance, determining whether each of the plurality of images satisfy a plurality of detection criteria, segmenting the teeth in the images, segmenting the images to classify each pixel as being of the orthodontic appliance and the teeth, classifying the pixels of the image as being pixels belonging to a space between an aligner and a tooth, assigning the pixels belonging to a space to one or more of the teeth, determining a conversion between image-based spatial measurements to real-world spatial measurements by projecting a tooth from the treatment plan into a plane that corresponds to a plane of a corresponding tooth in the image, and determining a size of each of the one or more spaces.

公开(公告)号：US20220023008A1

公开(公告)日：2022-01-27

申请号：US17443244

申请日：2021-07-22

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Christopher E. CRAMER ,  Rajiv VENKATA ,  Leela PARVATHANENI ,  Phillip Thomas HARRIS ,  Sravani GURIJALA ,  Svetozar HUBENOV ,  Sebastien HARENG ,  Guotu LI ,  Yun GAO ,  Chad Clayton BROWN

IPC: A61C7/08 ,  A61C9/00 ,  G16H20/40 ,  G16H80/00 ,  G06N3/08 ,  G06N3/04

Abstract: A method for dental treatment may include receiving photos of a patient's dentition, gathering treatment parameters for at treatment plan. The treatment parameters may represent attributes of the treatment plan selected by a doctor for the patient's dentition of a patient. The method may include generating, using the photos and the treatment parameters, one or more intelligent guidance rules to guide application of at least a portion of the treatment parameters to the patient's dentition, generating instructions to apply the intelligent patient guidance rules to the patient's dentition, and providing the instructions to the patient to apply the at least a portion of the treatment plan in accordance with the intelligent patient guidance rules.