公开(公告)号：US20240033041A1

公开(公告)日：2024-02-01

申请号：US18358913

申请日：2023-07-25

Applicant: Align Technology, Inc.

Inventor： Vitaliy Vladimirovich CHERNOV ,  Egor Artemovich KHROMOV ,  Mikhail Nikolaevich RYCHAGOV

IPC: A61C7/00 ,  G06T7/00

CPC classification number: A61C7/002 ,  G06T7/00 ,  G06T2207/30036 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Methods, apparatuses, and systems are disclosed for determining accurate tooth root apices from two-dimensional panoramic radiograph data and/or three-dimensional intraoral scan data. In some variations, one or more deep learning networks may be trained to determine coordinates of tooth root apices based on training data that may include cone beam computer tomography tooth data and corresponding two-dimensional panoramic radiograph data and three-dimensional intraoral scan data.

公开(公告)号：US20220165388A1

公开(公告)日：2022-05-26

申请号：US17534420

申请日：2021-11-23

Applicant: Align Technology, Inc.

Inventor： Vitaliy Vladimirovich CHERNOV ,  Dmitry ZUBATKIN ,  Aleksandr Sergeevich KARSAKOV ,  Mikhail Nikolaevich RYCHAGOV ,  Yury A. BRAILOV ,  Ekaterina TOLSTAYA ,  Sergey Borisovich SUROV ,  Dmitry Yurievich CHEKH

IPC: G16H20/40 ,  A61B6/14 ,  A61B6/00 ,  A61B6/03 ,  A61B5/055 ,  A61B5/00 ,  G16H30/20 ,  G06T7/00 ,  G06T7/11

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 with a 3D scanning system, such as CT, CBCT, or MRI. The 3D scan data may be automatically segmented with one or more neural networks. The segmented 3D scan can be incorporated into a dental treatment plan.

公开(公告)号：US20220104920A1

公开(公告)日：2022-04-07

申请号：US17449799

申请日：2021-10-01

Applicant: Align Technology, Inc.

Inventor： Yuxiang WANG ,  Reza SHIRAZI AGHJARI ,  Luyao CAI ,  Rohit TANUGULA ,  Jun SATO ,  Vadim MATOV ,  Bastien PESENTI ,  Manlio VALDIVIESO ,  Peter WEBBER ,  Mikhail Nikolaevich RYCHAGOV

IPC: A61C7/00 ,  A61C7/08 ,  G16H30/40

Abstract: Computer-implemented methods and systems for designing oral appliances. These methods and systems may include receiving patient data and a treatment plan (including a proposed one or more dental appliances), and determining, using the patient data and the treatment plan, an improved appliance design for treating the patient. These methods and systems may include evaluating the appliance design based on simulation and finalizing the appliance design based on the evaluation.