Dental appliances with repositioning jaw elements

    公开(公告)号:US10912629B2

    公开(公告)日:2021-02-09

    申请号:US14954631

    申请日:2015-11-30

    Abstract: The present disclosure provides method, computing device readable medium, and devices for dental appliances with repositioning jaw elements. An example of a removable dental appliance includes a shell having a number of tooth apertures configured to receive and reposition a number of teeth of a patient along one jaw of a patient, a repositioning jaw element that extends from a buccal or lingual surface of the shell, the element having a first outer surface oriented to face the tongue of the patient surface and a second outer surface oriented to face the cheek of the patient, and a reinforcement member formed along at least one of the first and second outer surfaces to provide reinforcement of the repositioning jaw element.

    METHOD AND APPARATUS FOR EXCESSIVE MATERIALS REMOVAL FROM INTRAORAL SCANS

    公开(公告)号:US20200349705A1

    公开(公告)日:2020-11-05

    申请号:US16837960

    申请日:2020-04-01

    Abstract: A method includes determining the following for each point in a second intraoral scan based on a comparison of a first intraoral scan to the second intraoral scan: whether a surface normal at the point is co-directional with a viewing direction associated with the first intraoral scan, wherein points in the second intraoral scan that have a surface normal that is co-directional with the first viewing direction are back-face points; and whether the point is behind a corresponding point in the first intraoral scan, wherein points in the second intraoral scan that are not behind corresponding points in the first intraoral scan are uncovered points. The method further includes determining a region comprising a plurality of points in the second intraoral scan that are uncovered back-face points, determining that the region satisfies one or more removal criteria, and removing the region from the second intraoral.

    EXCESS MATERIAL REMOVAL USING MACHINE LEARNING
    258.
    发明申请

    公开(公告)号:US20200349698A1

    公开(公告)日:2020-11-05

    申请号:US16865162

    申请日:2020-05-01

    Abstract: A method includes processing an input comprising data from an intraoral image using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the intraoral image, a first probability that the pixel belongs to a first dental class and a second probability that the pixel belongs to a second dental class, wherein the first dental class represents excess material, the excess material comprising material other than teeth or gums. The method further includes determining, based on the probability map, one or more pixels in the intraoral image that are classified as excess material. The method further includes hiding or removing from the intraoral image data for the one or more pixels that are classified as excess material.

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