Align Technology, Inc.

David Patrick Lopes

Dmitry Yurievich Chekh

Rene M Sterental

Samuel Blanco

Jason Ramos

Evgenii Vladimirovich Karnygin

Pavel Pokotilov

Dmitriy Konstantinovich Ten

Vladislav Andreevich Miryaha

Boris Aleksandrovich Vysokanov

Yury A Brailov

Artem Kuanbekov

Valery Prokoshev

Travis Harrison

Akhil Deshpande

Aleksei Lisitsin

Elena Agilina

Vera Vladimirovna Kadrul

Anastasia Chikhanova

Systems and methods for planning a treatment for a patient's teeth are provided. In some embodiments, a method includes receiving input data representing an initial tooth arrangement of a patient's teeth. The method can include determining a target tooth arrangement for the patient's teeth, the target tooth arrangement including a change in mass of at least one tooth. The method can also include generating a plurality of intermediate tooth arrangements configured to adjust the patient's teeth from the initial tooth arrangement toward the target tooth arrangement. The method can further include generating instructions to output a visualization showing a difference in tooth mass between at least one intermediate tooth arrangement of the plurality of intermediate tooth arrangements and the target tooth arrangement.

Systems and methods for orthodontic and restorative treatment planning

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

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

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

A computer-implemented method for generating a virtual depiction of an orthodontic treatment of a patient is disclosed herein. The computer-implemented method may involve gathering a three-dimensional (3D) model modeling the patient's dentition at a specific treatment stage of an orthodontic treatment plan. An image of the patient's face and dentition may be gathered. A first set of reference points modeled on the 3D model of the patient's dentition and a second set of reference points represented on the dentition of the image of the patient may be received. The image of the patient's dentition may be projected into a 3D space to create a projected 3D model of the image of the patient's dentition. Based on a comparison of the first reference points and projections of the second set of reference points, a modified image of the patient may be constructed and/or modeled.

Generating a virtual depiction of an orthodontic treatment of a patient

A computer-implemented method for virtually representing an orthodontic treatment outcome using automated detection of facial and dental reference objects is disclosed herein. The computer-implemented method may involve modeling initial positions of an orthodontic patient's teeth in a three-dimensional (3D) virtual model and determining the effect of application of various force systems applied through an orthodontic treatment plan on the patient's teeth. Images of the patient's face may be used to identify facial reference objects. Dental reference objects of the patient's dentition may be identified from the 3D virtual model. A relationship between the facial reference objects and the dental reference objects may form the basis of modifications to the orthodontic treatment plan and/or modeling final orthodontic positions of the orthodontic treatment plan.

Virtually representing an orthodontic treatment outcome using automated detection of facial and dental reference objects

Growing community of inventors

El Dorado Hills, CA, United States of America

David Patrick Lopes