公开(公告)号：US20240177397A1

公开(公告)日：2024-05-30

申请号：US18522169

申请日：2023-11-28

Applicant: Align Technology, Inc.

Inventor： Guotu LI ,  Michael CHANG ,  Christopher Cramer ,  Michael Austin Brown ,  Magdalena Blankenburg

IPC: G06T15/00 ,  A61C7/00 ,  A61C9/00 ,  G16H30/40

CPC classification number: G06T15/005 ,  A61C7/002 ,  A61C9/0053 ,  G16H30/40

Abstract: Methods and systems are described that use a three-dimensional (3D) model of a dental site to generate a panoramic two-dimensional (2D) image of the dental site. In one example, a method includes receiving a 3D model of the dental site generated at least in part from an intraoral scan, generating a surface shaped to substantially surround a dental arch represented by the dental site, computing a surface projection by projecting the dental site onto the surface, and generating the panoramic 2D image from the surface projection.

公开(公告)号：US20240033057A1

公开(公告)日：2024-02-01

申请号：US18360161

申请日：2023-07-27

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Ofer SAPHIER ,  Avi KOPELMAN ,  Moti BEN DOV ,  Ran KATZ ,  Shai FARKASH ,  Roy FAHN ,  Michael CHANG ,  Niko Benjamin HUBER ,  Eric P. MEYER ,  Gustavo ISMAEL ,  Zelko RELIC ,  Maik GERTH

IPC: A61C9/00

CPC classification number: A61C9/0053

Abstract: A method may include obtaining a first 3D model of an upper jaw of a patient using an intraoral scanner and obtaining a second 3D model of the lower jaw of the patient using the intraoral scanner. The method may also include capturing a series of 2D images of the upper and lower jaws of the patient as the patient is moves the upper jaw and lower jaw in dynamic occlusion and processing the captured series of 2D images to identify features associated with the upper jaw of the patient and the lower jaw of the patient. For each 2D image in the captured series of 2D images, the method may include identifying a relative position of the first 3D model and the second 3D model based on alignment of features in the first 3D model and second 3D model with the features identified in the 2D image to generate a series of relative positions of the first 3D model and the second 3D model. The method may also include modeling dynamic occlusion of the upper jaw and the lower jaw of the patient based on the series of relative positions of the first 3D model and the second 3D model.