公开(公告)号：US20240029265A1

公开(公告)日：2024-01-25

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

IPC: G06T7/11 ,  G06T7/00 ,  G16H30/20 ,  G06N20/00 ,  G06T17/20 ,  G06T19/20 ,  G06N3/045

CPC classification number: G06T7/11 ,  G06T7/0012 ,  G16H30/20 ,  G06N20/00 ,  G06T17/205 ,  G06T19/20 ,  G06N3/045 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06T2207/20081 ,  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.

公开(公告)号：US20220023002A1

公开(公告)日：2022-01-27

申请号：US17443242

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: A61C7/00 ,  A61C7/08 ,  A61C7/14 ,  G06T7/00 ,  A61B1/24

Abstract: A method of dental treatment may include receiving one or more photo parameters to define clinically acceptable criteria for a plurality of clinically relevant photos of a person's dentition. The clinically acceptable criteria may include at least a plurality of clinically acceptable positions and a plurality of clinically acceptable orientations of teeth relative to a camera. The method may also include gathering a plurality of image-capture rules to capture the plurality of clinically relevant photos. The plurality of image capture rules may be based on the one or more photo parameters. The method may also include providing first automated instructions to capture the plurality of clinically relevant photos of the person's dentition using the plurality of image-capture rules and capturing the plurality of clinically relevant photos with the camera in response to the first automated instructions.

公开(公告)号：US20210073998A1

公开(公告)日：2021-03-11

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

IPC: G06T7/11 ,  G06T7/00 ,  G06N3/04

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.