公开(公告)号：US20240144480A1

公开(公告)日：2024-05-02

申请号：US18496743

申请日：2023-10-27

Applicant: Align Technology, Inc.

Inventor： Michael Seeber ,  Janik Lobsiger ,  Niko Benjamin Huber ,  Avi Kopelman

IPC: G06T7/00 ,  G06T3/00 ,  G06T3/40 ,  G06T5/10 ,  G06T11/60 ,  G06V10/24 ,  G06V10/44 ,  G06V40/16

CPC classification number: G06T7/0012 ,  G06T3/0006 ,  G06T3/40 ,  G06T5/10 ,  G06T11/60 ,  G06V10/242 ,  G06V10/44 ,  G06V40/174 ,  G06T2207/20084 ,  G06T2207/30036

Abstract: A method and/or system generates a video of teeth of an individual over time. In one example, images comprising teeth of an individual are received, wherein the images are arranged in a sequence and each image is associated with a different stage of treatment of the teeth. One or more of the images are modified and/or replaced to align the images to one another. One or more synthetic images are generated, wherein each synthetic image is generated based on a pair of sequential images in the sequence and is an intermediate image that comprises an intermediate state of the teeth between a first state of a first image of the pair of sequential images and a second state of a second image of the pair of sequential images. A video is then generated that comprises the images and the one or more synthetic images.

公开(公告)号：US20250073004A1

公开(公告)日：2025-03-06

申请号：US18821445

申请日：2024-08-30

Applicant: Align Technology, Inc.

Inventor： Nicolas Wicki ,  Janik Lobsiger ,  Philipp Kopp ,  Sinan Ibrahim Bayraktar ,  Michael Chang ,  Niko Benjamin Huber

IPC: A61C9/00 ,  A61B5/00 ,  G06T7/00 ,  G06T17/00

Abstract: A method includes obtaining first data of a dental arch having one or more first properties. The method further includes processing the first data using one or more trained machine learning models. The one or more trained machine learning models generate a dimensionally reduced representation of the dental arch based on the first data. The one or more trained machine learning models generate second data of the dental arch that has one or more second properties. The method further includes obtaining, from the one or more trained machine learning models, the second data of the dental arch that has the one or more second properties. The second data is based on the dimensionally reduced representation. The one or more second properties are different from the one or more first properties. The method further includes causing a representation of the dental arch to be displayed based on the second data.

公开(公告)号：US20230268079A1

公开(公告)日：2023-08-24

申请号：US18167797

申请日：2023-02-10

Applicant: Align Technology, Inc.

Inventor： Janik Lobsiger ,  Bernhard Steffen Thomaszewski ,  Daniel Michel Peter ,  Niko Benjamin Huber

IPC: G16H50/50 ,  G06T19/20

CPC classification number: G16H50/50 ,  G06T19/20 ,  G06T2207/30004

Abstract: A method includes receiving a) orthognathic patient data comprising information representing an initial state of a patient and b) plurality of treatment parameters that are based on a treatment goal for the patient. The method further includes generating an output state of the patient based on the initial state of the patient and the plurality of treatment parameters, calculating an objective function based on the output state of the patient and the treatment goal of the patient, and updating one or more of the treatment parameters based on the objective function.

公开(公告)号：US20230263594A1

公开(公告)日：2023-08-24

申请号：US18167794

申请日：2023-02-10

Applicant: Align Technology, Inc.

Inventor： Janik Lobsiger ,  Bernhard Steffen Thomaszewski ,  Daniel Michel Peter ,  Niko Benjamin Huber

IPC: A61C7/00 ,  A61C9/00 ,  G06F30/27 ,  G16H20/40

CPC classification number: A61C7/002 ,  A61C9/0046 ,  G06F30/27 ,  G16H20/40 ,  G06F2111/10

Abstract: Aspects of the disclosed technology provide solutions of simulating patient treatment outcomes and in particular, for estimating treatment parameters that can be optimally modified to achieve a desired treatment outcome. In some aspects, a process of the disclosed technology includes steps for receiving patient data, receiving a plurality of treatment parameters, and generating an output state of the patient based on the initial state of the patient and the treatment goal for the patient. In some aspects, the process can further include steps for calculating an objective function based on the output state of the patient and the treatment goal of the patient, and updating one or more of the treatment parameters based on the objective function. Systems and machine-readable media are also provided.