Align Technology, Inc.

Align Technologies, Inc.

Roman A Roschin

Fedor Chelnokov

Alexander Beliaev

David R Mason

Yury A Brailov

Evgenii Vladimirovich Karnygin

Anatoliy Boltunov

Petr Ushanov

Sergey Grebenkin

Alexander Vovchenko

Dmitry Guskov

Alexey Vladykin

Rene M Sterental

Avi Kopelman

Eric P Meyer

Leonid Vyacheslavovich Grechishnikov

Vasily Paraketsov

Mikhail Dyachenko

Vadim Matov

Stephan Albert Alexandre Dumothier

Norman C Su

Tzishing Jesse Lim

Roman Gudchenko

Mikhail Gorodilov

Denis Durdin

Roman Solovyev

Ivan Potapenko

Dmitrii Ischeykin

Palak Mittal

Huameng Ivan Chu

Chunhua Li

Adi Levin

John Y Morton

Bastien Pesenti

Jeeyoung Choi

Viacheslav V Korytov

Ofer Saphier

Michael Sabina

Artem Borovinskih

Mitra Derakhshan

Samuel Blanco

Jason Ramos

Igor Kvasov

Sergei Ozerov

Boris Likhtman

Anton Lapshin

Artem Kuanbekov

Dmitriy Konstantinovich Ten

René M Sterental

Michael Flanagan

Elizaveta Ulianenko

Nikolay Zhirnov

Igor Akopov

Partha Dey

Ivan Slepynin

Anzhelika Son

Leonid Trofimov

Andrey Maximov

Pavel Razumovskiy

Alexey Lazarev

Anton Gavrilov

Olga Matusevich

Alexander Belous

Maria Shirshova

Nikolay Yakovlev

Fuming Wu

Ian Kitching

Alexey Vishnevskiy

Svetlana Makarenkova

Aleksandr Zhulin

Evgeniy Morozov

Vladimir Grenaderov

Mikhail Nyukhtikov

Olga Likhacheva

Alexander Kulinich

Irina Igorevna Ivanova

Grigoriy Yazykov

Ruslan Matvienko

Ilfat Sabirov

Dmitry Kirsanov

Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. During dentition segmentation, a determination can be made whether trimming portions of the 3D model is desirable. A recommendation can be made for 3D model trimming based on the determination.

Molar trimming prediction and validation using machine learning

Methods and apparatuses for automatic treatment planning, including recommendation systems, quality assurance, error prevention, text mining, text matching, and treatment planning optimization.

Automatic application of doctor's preferences workflow using statistical preference analysis

A processing device may execute instructions from a computer readable medium to perform operations comprising: making a comparison between first image data of at least a portion of a dental arch and second image data of at least the portion of the dental arch; determining a plurality of differences between a first representation of at least the portion of the dental arch in the first image data and a second representation of at least the portion of the dental arch in the second image data; determining that a first difference of the plurality of differences is attributable to tooth movement; determining that a second difference of the plurality of differences is attributable to tooth wear to one or more teeth on at least a portion of the dental arch; and generating a third representation of at least the portion of the dental arch that is a modified version of the second representation, wherein a visual indication of the tooth wear is provided in the third representation.

Analysis and visualization of dental arch over time

Methods for detecting missing or ectopic teeth. At least one tooth that is missing or ectopic may be detected in a dental arch by determining that a gap between adjacent teeth of a digital model of the dental arch exceeds a gap threshold. At least one tooth of the dental arch may be determined to be ectopic by performing an ectopic analysis of a region of the digital model of the dental arch above or below the gap. Anatomical identifiers may be assigned to the teeth of the digital model of the dental arch to account for the at least one tooth that is missing or ectopic. An orthodontic treatment plan to reposition one or more teeth of the dental arch using the assigned anatomical identifiers of the teeth of the digital model of the dental arch may be created.

Detection of missing or ectopic teeth

Methods, systems and non-transitory computing device readable media for bite setting in dental treatment planning. In some examples, the methods may include using images and a three-dimensional (3D) model of a dentition. Points may be marked on the 3D model corresponding to points marked in the images of first and second jaws in the different relative positions. A pivot point and/or a range of motion of the first and second jaws may be based on the marked points. Forces may be repeatedly applying on the points of the 3D model to move the first jaw with respect to the second jaw using the determined pivot point and/or range of motion until the first jaw ceases moving, thereby indicating that a stable bite position has been achieved. The forces on the points of the 3D model may be provided for a dental treatment plan for the dentition.

Bite setting for dental treatment planning

Methods and systems for taking images of a patient's teeth for tracking a progress of an orthodontic procedure. The methods and systems include a mobile device holder with one or more adjustable stops for providing a compressive force on a mobile device placed therein; a cheek retractor coupled to the mobile device holder; and a user interface on the mobile device indicating whether the mobile device holder is in a correct position relative to the patient's teeth as the mobile device holder is moved while the cheek retractor engages a cheek of the patient to expose the patient's teeth, while taking one or more visual images of the exposed teeth using a camera of the mobile device.

Systems and methods for taking images of a patient's teeth with a mobile device

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

Methods for and media with instruction to cause acquiring known dimensions of a tooth, applying a multivariant regression model using the known dimensions to calculate projected dimensions of the unerupted or erupting tooth, customizing a standard virtual geometry and/or a predefined virtual geometry using the projected dimensions of the unerupted or erupting tooth, and inserting the customized virtual geometry into a virtual model of the patient's jaw, and planning the movement of the teeth of the patient and designing a series of removable orthodontic aligners using the virtual model, the series of removable orthodontic aligners configured to be worn by the patient to incrementally align the teeth according to the planned movement.

Methods of planning teeth movement and media

A method for determining tooth numbers of teeth within a dental arch includes receiving a digital scan of a patient's dentition, detecting a cusp associated with at least one tooth in the digital scan, where the cusp is detected based at least in part on a radius of a surface of the cusp, matching a molar shape of the at least one tooth, and identifying the patient's molar tooth based on the molar shape.

Segmentation quality assessment

Computer-implemented methods and systems for modeling teeth. Methods include generating a clinical crown mesh including visible surfaces of a clinical crown of a tooth; generating a parametric tooth model representing an average of multiple etalon teeth of the same tooth type; fitting the clinical crown mesh with the parametric tooth model to create an interim tooth model; and morphing the interim tooth model to mimic an anatomical shape of the clinical crown mesh. Fitting the clinical crown mesh with the parametric tooth model includes coupling point pairs on surfaces of the clinical crown mesh and the parametric tooth model, where a weighting factor is assigned to each point of the clinical crown mesh or parametric tooth model, and transforming the point pairs according to their weighting factors to cause the point pairs to converge.

Computer-implemented methods and systems for modeling teeth

Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Features of the patient's teeth can be determined, including a tooth center point of at least three of the patient's teeth. The features of the patient's teeth are used to access a parametric model. A trim plane normal vector is identified for a distal tooth. Trimming of the 3D tooth model is based on the trim plane normal vector.

Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Methods and systems of digital dental modeling

Methods and systems for determining a dental treatment difficulty in digital treatment planning. The methods may include calculating tooth position changes from an initial dental model to a target dental model in a mouth quadrant of a patient's dentition. The changes in position may be determined by projecting distances between initial positions and subsequent positions of teeth onto an arch line of the initial dental model. A treatment difficulty of anterior-posterior (A-P) correction may be determined for the mouth quadrant based on an average change in position, wherein a greater average change in position is associated with a higher treatment difficulty of A-P correction. The digital treatment plan may be adjusted so that a provider skill level meets or exceeds the treatment difficulty of A-P correction.

Methods and systems for determining a dental treatment difficulty in digital treatment planning

A processing device receives image data of an actual condition of a patient's dental arch at a stage of an orthodontic treatment plan. The processing device compares the image data of the actual condition of the patient's dental arch to a planned condition of the patient's dental arch for the stage of the orthodontic treatment plan. The processing device determines an updated orthodontic treatment plan based on one or more differences between the actual condition of the patient's dental arch and the planned condition of the patient's dental arch determined from the comparing. The processing device generates one or more three-dimensional (D) models for one or more new orthodontic aligners in accordance with the updated orthodontic treatment plan.

Updating an orthodontic treatment plan during treatment

Growing community of inventors

Moscow, Russia

Roman A Roschin