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公开(公告)号：US20230153476A1
公开(公告)日：2023-05-18
申请号：US17917211
申请日：2021-05-14
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Cameron M. Fabbri , Jonathan D. Gandrud , Joseph C. Dingeldein , James D. Hansen , Benjamin D. Zimmer , Jianbing Huang
CPC classification number: G06F30/10 , A61C13/0004 , A61C13/34 , G06T17/20
Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.
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公开(公告)号：US20220249201A1
公开(公告)日：2022-08-11
申请号：US17263622
申请日：2019-07-24
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Vera Shuman , Alexandra R. Cunliffe , Guruprasad Somasundaram , Benjamin D. Zimmer , Nitsan Ben-Gal Nguyen
Abstract: A method for evaluating intermediate and final setups for orthodontic treatment. The method includes receiving intermediate and final setups, where each setup is a digital representation of a state of teeth at a particular stage of orthodontic treatment. Scores are computed based upon metrics related to at least some of the states represented by the corresponding setups, and the scores provide an indication of a validity of the corresponding states. The metrics along with an indication of the corresponding scores are displayed in a dashboard in order to provide a visual evaluation of the validity of the setups.
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公开(公告)号：US20210259808A1
公开(公告)日：2021-08-26
申请号：US17261717
申请日：2019-07-29
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nitsan Ben-Gal Nguyen , Benjamin D. Zimmer , Guruprasad Somasundaram , Alexandra R. Cunliffe , Brian J. Stankiewicz , Elisa J. Collins , David T. Maiden Mueller , Steven C. Demlow , Cody J. Olson , Muhammad J. Afridi , Nancy Amato , Shawna L. Thomas , Alexander Gutierrez , Arash Sangari , Jonathan D. Gandrud
Abstract: An automated method for generating a final setup for orthodontic treatment. The method includes receiving a digital 3D model of teeth in an initial state. The method computes a scoring function based upon metrics related to the initial state to generate a corresponding score, perturbs the state of the teeth through translations and rotations of a tooth or set of teeth to generate a perturbed state of the teeth, and updates the state of the teeth based upon the score and the perturbed state of the teeth to generate one or more final setups representing a final state of the teeth after the orthodontic treatment.
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公开(公告)号：US11960795B2
公开(公告)日：2024-04-16
申请号：US17917211
申请日：2021-05-14
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Cameron M. Fabbri , Jonathan D. Gandrud , Joseph C. Dingeldein , James D. Hansen , Benjamin D. Zimmer , Jianbing Huang
CPC classification number: G06F30/10 , A61C13/0004 , A61C13/34 , G06T17/20
Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.
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公开(公告)号：US20240008955A1
公开(公告)日：2024-01-11
申请号：US18253699
申请日：2021-12-02
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Jonathan D. Gandrud , Alexandra R. Cunliffe , James D. Hansen , Cameron M. Fabbri , Wenbo Dong , En-Tzu Yang , Jianbing Huang , Himanshu Nayar , Guruprasad Somasundaram , Jineng Ren , Joseph C. Dingeldein , Seyed Amir Hossein Hosseini , Steven C. Demlow , Benjamin D. Zimmer
CPC classification number: A61C7/002 , A61C13/0004 , A61C2007/004
Abstract: Machine learning, or geometric deep learning, applied to various dental processes and 5 solutions. In particular, generative adversarial networks apply machine learning to smile design—finished smile, appliance rendering, scan cleanup, restoration appliance design, crown and bridges design, and virtual debonding. Vertex and edge classification apply machine learning to gum versus teeth detection, teeth type segmentation, and brackets and other orthodontic hardware. Regression applies machine learning to coordinate systems, diagnostics, case complexity, and 0 prediction of treatment duration. Automatic encoders and clustering apply machine learning to grouping of doctors, or technicians, and preferences.
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Patent Agency Ranking
6.发明授权公开(公告)号：US11417072B2
公开(公告)日：2022-08-16
申请号：US17250080
申请日：2019-05-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Caroline M. Ylitalo , Guruprasad Somasundaram , Benjamin D. Zimmer , Jonathan D. Gandrud , Claire R. Donoghue
IPC: G06T19/20 , G06K9/62 , G06F30/20 , G06F111/10 , G06T19/00
Abstract: A system and method of selecting personal protection equipment (PPE) for a worker. The system identifies sets of PPEs and simulates a fitting of the identified PPE sets to the worker. Fitting includes, for each of the identified PPE sets, selecting a three-dimensional computer model for each article of the PPE set, placing the computer model of each of the PPE articles of the PPE set being fitted on a computer model representing the worker, identifying collisions between the computer models as placed, and taking an action based on the identified collisions.
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7.发明申请公开(公告)号：US20210209865A1
公开(公告)日：2021-07-08
申请号：US17250080
申请日：2019-05-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Caroline M. Ylitalo , Guruprasad Somasundaram , Benjamin D. Zimmer , Jonathan D. Gandrud , Claire R. Donoghue
Abstract: A system and method of selecting personal protection equipment (PPE) for a worker. The system identifies sets of PPEs and simulates a fitting of the identified PPE sets to the worker. Fitting includes, for each of the identified PPE sets, selecting a three-dimensional computer model for each article of the PPE set, placing the computer model of each of the PPE articles of the PPE set being fitted on a computer model representing the worker, identifying collisions between the computer models as placed, and taking an action based on the identified collisions.
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公开(公告)号：US20240277449A1
公开(公告)日：2024-08-22
申请号：US18292217
申请日：2022-08-08
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Benjamin D. Zimmer , Cody J. Olson , Nicholas A. Stark , Nicholas J. Raddatz , Alexandra R. Cunliffe , Guruprasad Somasundaram
IPC: A61C7/00 , A61C7/08 , G06N3/0475
CPC classification number: A61C7/002 , A61C7/08 , G06N3/0475
Abstract: Methods for generating intermediate stages for orthodontic aligners using machine learning or deep learning techniques. The method receives a malocclusion of teeth and a planned setup position of the teeth. The malocclusion can be represented by translations and rotations, or by digital 3D models. The method generates intermediate stages for aligners, between the malocclusion and the planned setup position, using one or more deep learning methods. The intermediate stages can be used to generate setups that are output in a format, such as digital 3D models, suitable for use in manufacturing the corresponding aligners.
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公开(公告)号：US20220160469A1
公开(公告)日：2022-05-26
申请号：US17441331
申请日：2020-03-31
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Guruprasad Somasundaram , Benjamin D. Zimmer , Nitsan Ben-Gal Nguyen , Vera Shuman , Nancy M. Amato , Shawna L. Thomas
Abstract: A method for generating and reusing digital setups for an orthodontic treatment path. The method receives a digital 3D model of teeth, optionally performs interproximal reduction on the model, and generates an initial treatment path with stages including an initial, final, and intermediate setups. The method divides the initial treatment path into initial steps of feasible motion of the teeth resulting in a final treatment path with setups corresponding with the initial steps. For a treatment redesign, the method computes new steps of feasible motion for only a portion of the initial treatment path and based upon the initial steps, and generates the final treatment path with new setups corresponding with the new steps. The setups can be used to make orthodontic appliances, such as clear tray aligners.
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10.发明授权公开(公告)号：US10758171B2
公开(公告)日：2020-09-01
申请号：US16405215
申请日：2019-05-07
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Guruprasad Somasundaram , Benjamin D. Zimmer , Steve Lastavich , Peter See , Kelly L. Stein
Abstract: Methods for tracking gum line changes by comparing digital 3D models of teeth and gingiva taken at different times. The digital 3D models are segmented to digitally identify the teeth from the gingiva, and the segmented digital 3D models are compared to detect gum line changes by determining differences between them relating to the gum line. Gum line changes can also be estimated by comparing one of the digital 3D models with a 3D model having a predicted original location of the gum line. Gum line change maps can be displayed to show the gum line changes determined through the tracking or estimating of changes. The digital 3D models can also be displayed with periodontal measurements placed upon them.
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