US 2021/0196434 A1 · MACHINE LEARNING DENTAL SEGMENTATION SYSTEM AND METHODS USING SPARSE VOXEL REPRESENTATIONS

Machine learning dental segmentation system and methods using sparse voxel representations

AssigneeAlign Technology, Inc.

InventorsChristopher 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

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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.

Claims12

Dependent claims

1-30. (canceled)

Dependencies are inferred from the claim text.

Facts

Application

17/138,824Filed 30 Dec 2020

Priority

31 Dec 2019

Published

1 Jul 2021

Term ends

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Classification20 codes

A61C 9/004
Impression cups, i.e. impression trays; Impression methods: means or methods for taking digitized impressions
A61C 9/0053
Data acquisition means or methods: optical means or methods, e.g. scanning the teeth by a laser or light beam
A61C 7/002
Orthodontics, i.e. obtaining or maintaining the desired position of teeth, e.g. by straightening, evening, regulating, separating, or by…:…
A61C 13/34
Dental prostheses; Making same: making or working of models, e.g. preliminary castings, trial dentures; Dowel pins [4]