Align Technology, Inc.

Samuel Blanco

Jason Ramos

Rene M Sterental

Dmitry Yurievich Chekh

Leon Rasovsky

Phillip Thomas Harris

Evgenii Vladimirovich Karnygin

Pavel Pokotilov

Sebastien Hareng

Artem Kuanbekov

Boris Aleksandrovich Vysokanov

Vladislav Andreevich Miryaha

Aleksandr Sergeevich Karsakov

Dmitriy Konstantinovich Ten

Sergey Vinnichenko

David Patrick Lopes

Maurice K Carrier, Jr

Anton Lapshin

Yury A Brailov

Roman A Roschin

Christopher Eric Cramer

Chad Clayton Brown

Mitra Derakhshan

Boris Likhtman

Evgeniy Morozov

Michael Flanagan

Igor Akopov

Alexander Kulinich

Andrey Maximov

Valery Prokoshev

Olga Matusevich

Boris Vasilevskiy

Alexander Belous

Maria Shirshova

Eric P Meyer

Nikolay Yakovlev

Adi Levin

Svetlana Makarenkova

Aleksandr Zhulin

Maurice K Carrier

Vladimir Grenaderov

Mikhail Nyukhtikov

Olga Likhacheva

Irina Igorevna Ivanova

Sergey Makarov

Vasily Ivanov

Alexander Poryvkin

Dmitry Mednikov

Igor Logvanev

Irina Ivanova

Method of manufacturing a series of aligners for an orthodontic and/or dental treatment of a patient's teeth. In particular, described herein are methods of manufacturing a series of aligners that includes displaying images of the patient's teeth at the final stages for a subset of the treatment plans from the array of treatment plans in a manner that allows the user to select between the different treatment plans in order to select a treatment plan for fabrication.

Methods of manufacturing dental aligners

Orthodontic and/or dental treatment planning methods and apparatuses. In particular, described herein are methods of generating a plurality of orthodontic treatment plans digitally using a hierarchy of bounding boxes enclosing the plurality of 3D shapes to avoid collisions during treatment.

Treatment plan generation using collision detection by shape filling

Described herein are methods and apparatuses to obtain an image, or a set of images, of a user's teeth from one or more predetermined viewing angles. These methods and apparatuses may include guiding a user to capture a predetermined set of images of the user's teeth at specified views using an indicator that is output from a mobile telecommunications device, wherein the indicator indicates to the user one or more positions of the mobile telecommunications device relative to a mouth of the user. The captured images are uploaded to provide a treatment progress evaluation.

Methods and apparatuses for dental images

Embodiments may include: receiving a facial image comprising a 2D depiction of a person's teeth at a first arrangement; receiving a tooth model comprising a 3D depiction of the person's teeth at a second arrangement; obtaining color information from the facial image, wherein the color information represents a color scheme of the person's teeth at the first arrangement; and generating a photo-realistic two-dimensional depiction of the person's teeth at the second arrangement using the 3D depiction of the person's teeth at the second arrangement and the color information obtained from the facial image.

Rendering of post treatment smile image

Methods and systems are provided for manufacturing an appliance for correcting malocclusions of a patient's teeth. The method may include measuring the positions of a patient's teeth and receiving tooth movement constraints. The method may also include generating an initial treatment plan based on the measured tooth positions and the tooth movement constraints and measuring the malocclusions of the patient's teeth for one or more types of dental malocclusions. The method may also include generating a plurality of treatment plans from the initial treatment plan based on the measured malocclusion and generating a model of an appliance for each stage of the treatment plan. The method may also include generating instructions for fabricating the appliance for each stage of the treatment plan based on the model of the appliance for each stage of the treatment plan.

Systems, methods, and apparatus for correcting malocclusions of teeth

Methods and systems including: receiving one or more 2D images of a patient's face including a depiction of the patient's teeth in an initial arrangement; extracting teeth contours of the patient's teeth from within the mouth region of the one or more received 2D images of the patient's face; generating, using a neural network, a 2D rendering depicting a post-treatment arrangement of the patient's teeth based on the one or more received 2D images; generating a realistic composite 2D image depicting the patient's face with the 2D rendering depicting the post-treatment arrangement of the patient's teeth; and sending the realistic composite 2D image for display on a user interface of an output device.

Generating a virtual patient depiction of an orthodontic treatment

Described herein are methods and apparatuses to obtain an image, or a set of images, of a patient's teeth from one or more predetermined viewing angles. These methods and apparatuses may include the use an overlay comprising an outline of teeth for each predetermined viewing angle. The overlay may be used for automatically capturing, focusing and/or illuminating the teeth. Also described herein are methods and apparatuses for using a series of images of the patient's teeth including a set of predetermined views to determine if a patient is a candidate for an orthopedic procedure.

A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Automated 2D/3D integration and lip spline autoplacement

A method may include: receiving facial image of the patient that depicts the patient's teeth; receiving a 3D model of the patient's teeth; determining color palette of the depiction of the patient's teeth; coding 3D model of the patient's teeth based on attributes of the 3D model; providing the 3D model, the color palette, and the coded 3D model to a neural network; processing the 3D model, the color palette, and the coded 3D model by the neural network to generate a processed image of the patient's teeth; simulating specular highlights on the processed image of the patient's teeth; and inserting the processed image of the patient's teeth into a mouth opening of the facial image.

Photo realistic rendering of smile image after treatment

The present disclosure provide for methods of planning restorative procedures. Methods may involve identifying an initial position of a patient's teeth based on a digital representation of the patient's teeth, and determining one or more candidate orthodontic positions for the patient's teeth, wherein each of the one or more candidate orthodontic positions is a target position of the patient's teeth being considered. Methods may further involve virtually modeling a first restorative object at a first evaluated restorative object position on one of the patient's teeth, evaluating a first amount of tooth mass removal corresponding to the first restorative object based on the first evaluated restorative object position and one of the candidate orthodontic positions, and determining a final orthodontic position and a final restorative object position based on the first amount of tooth mass removal.

Restorative smile visualization through digital treatment planning

Orthodontic and/or dental treatment planning methods and apparatuses. In particular, described herein are methods of generating a plurality of potential treatment plan variations for the concurrent and interactive review of the treatment plan variations. Each variation may be optimized to best address the user's treatment goals, as well as approximating as closely as possible an ideal or target final position. Also described herein are orthodontic and/or dental treatment planning methods and apparatuses that allow a user to form, modify, and select a treatment plan from a plurality of different treatment plans, in real time.

Automatic treatment planning

Growing community of inventors

Saratoga, CA, United States of America

Samuel Blanco