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11.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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12.发明申请公开(公告)号：US20190008446A1
公开(公告)日：2019-01-10
申请号：US15643646
申请日：2017-07-07
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Guruprasad Somasundaram , Benjamin D. Zimmer , Steve Lastavich , Peter See , Kelly L. Stein
CPC classification number: A61B5/4552 , A61B5/0088 , A61B5/1077 , A61B5/1078 , A61B5/1079 , A61B5/4842 , A61B5/7275 , A61B5/7425 , A61B5/743 , A61C9/0046 , A61C9/0053 , A61C19/04 , A61C19/043 , G16H30/00
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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公开(公告)号：US20180333231A1
公开(公告)日：2018-11-22
申请号：US15597479
申请日：2017-05-17
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Benjamin D. Zimmer , Alexandra R. Cunliffe , Mojtaba K. Elyaderani , Arash Sangari , Evan J. Ribnick
CPC classification number: A61C9/004 , G06T19/20 , G06T2210/41
Abstract: A method for aligning digital 3D models of dental arch pairs, including a mandible and maxilla, to bring them into bite alignment. The method estimates representative planes for the mandible and maxilla 3D models and transforms the models such that the representative planes are each aligned with their respective coordinate systems and shown in a horizontal view. The method also transforms the models such that the mandible and maxilla are each aligned with a same coordinate system and shown in a front view. The digital 3D models are then brought into bite alignment such that the mandible is in occlusion with the maxilla or within a distance near to occlusion. The digital models of the bite-aligned arch pairs can also be transformed or rotated to be shown centered in a front view.
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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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公开(公告)号：US20230306222A1
公开(公告)日：2023-09-28
申请号：US18295461
申请日：2023-04-04
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Michael A. McCoy , Glenn E. Casner , Anne C. Gold , Silvia Geciova-Borovova Guttmann , Charles A. Shaklee , Robert W. Shannon , Gautam Singh , Guruprasad Somasundaram , Andrew H. Tilstra , John A. Wheatley , Caroline M. Ylitalo , Arash Sangari , Alexandra R. Cunliffe , Jonathan D. Gandrud , Kui Chen-Ho , Travis L. Potts , Maja Giese , Andreas M. Geldmacher , Katja Hansen , Markus G.W. Lierse , Neeraj Sharma
CPC classification number: G06K19/06037 , G02B5/12 , G02B5/124 , G02B5/305 , G02B5/3025 , G06K2019/0629
Abstract: The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective elements that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.
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Patent Agency Ranking
16.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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公开(公告)号：US20220061959A1
公开(公告)日：2022-03-03
申请号：US17416818
申请日：2019-12-23
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nitsan Ben-Gal Nguyen , Guruprasad Somasundaram , Alexandra R. Cunliffe , Vera Shuman , Elisa J. Collins
Abstract: Aspects of the present disclosure relate to methods, devices, and systems using speech recognition in a dental procedure. The method can include receiving, by a computing device, voice input data that specifies dental information for a patient. The method can also include analyzing, by the computing device, the voice input data to process the dental information. Based on the identified dental treatment information, the method can include generating, by the computing device, one or more custom dental prescriptions for the patient.
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18.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：US12169748B2
公开(公告)日：2024-12-17
申请号：US18295461
申请日：2023-04-04
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Michael A. McCoy , Glenn E. Casner , Anne C. Gold , Silvia Geciova-Borovova Guttmann , Charles A. Shaklee , Robert W. Shannon , Gautam Singh , Guruprasad Somasundaram , Andrew H. Tilstra , John A. Wheatley , Caroline M. Ylitalo , Arash Sangari , Alexandra R. Cunliffe , Jonathan D. Gandrud , Kui Chen-Ho , Travis L Potts , Maja Giese , Andreas M. Geldmacher , Katja Hansen , Markus G. W. Lierse , Neeraj Sharma
Abstract: The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective elements that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.
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公开(公告)号：US20230218371A1
公开(公告)日：2023-07-13
申请号：US17928022
申请日：2021-05-11
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Elisa J. Collins , Guruprasad Somasundaram , Nitsan Ben-Gal Nguyen , Benjamin D. Zimmer , Cody J. Olson
Abstract: Methods for generating multiple orthodontic treatment options for a digital 3D model of teeth in malocclusion. The method generates a plurality of different orthodontic treatment plans for the teeth and displays in a user interface the digital 3D model of teeth in malocclusion with a visual indication of each of the plurality of different orthodontic treatment plans. The visual indication of the treatment plans can be overlaid on the digital 3D model of teeth in malocclusion and possibly include aligners, brackets, or a combination of aligners and brackets. A doctor, technician, or other user can then select one of the treatment plans for a particular patient.
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