METHOD OF ANALYSIS OF A REPRESENTATION OF A DENTAL ARCH

    公开(公告)号:US20240261076A1

    公开(公告)日:2024-08-08

    申请号:US18615239

    申请日:2024-03-25

    CPC classification number: A61C19/04 A61C7/002 G16H30/40 G16H50/20 G16H50/70

    Abstract: Method of analysis of a diagnostic dental representation showing a dental arch of a current patient in several dimensions. The method includes creation of a learning base including more than 1,000 historical dental structures. Each historical dental structure includes a historical dental representation showing an arch of a historical patient in several dimensions and a historical specification containing a value for at least a first attribute relating to a dental object associated with the historical dental representation. The method includes training of at least one deep learning device by use of the learning base. The method includes submission of the diagnostic dental representation to the deep learning device in such a manner that it determines, for the diagnostic dental representation, at least one value for the first attribute.

    METHOD FOR CHARACTERIZING AN INTRAORAL ORGAN
    22.
    发明公开

    公开(公告)号:US20240062379A1

    公开(公告)日:2024-02-22

    申请号:US18270999

    申请日:2022-01-11

    CPC classification number: G06T7/0014 G06T7/344 G06T2200/04 G06T2207/30036

    Abstract: A method for characterizing an intraoral organ. Modelling the organ as a digital three-dimensional model to be characterized (MTBC), including a mesh of points defining a surface. Placing the MTBC in a standardized configuration with respect to a digital three-dimensional initial reference model (IRM), including a mesh of points, called initial reference points (IRPs), the number of IRPs being less than 20% of the MTBC. Then, determining a final reference point (FRP), for each IRP, by a deformation algorithm. Then, determining a set of values determining the position of the FRP and/or a final elementary surface depending on the FRP, the algorithm determining the positions of the FRPs so that a final reference model consisting of a mesh of the final reference points matches the model to be characterized as closely as possible. Generating a characteristic vector grouping, in an ordered manner, the values determined for all the IRPs.

    METHOD OF DETERMINING AN ORTHODONTIC TREATMENT

    公开(公告)号:US20220346914A1

    公开(公告)日:2022-11-03

    申请号:US17867502

    申请日:2022-07-18

    Abstract: A method of determining an optimal switchover moment for a hybrid orthodontic treatment of teeth. Creation of a digital three-dimensional model of at least part of a dental arch. Deformation of the initial reference model until the tooth models are in a target position. Acquisition of at least one two-dimensional image of the teeth. Deformation of the initial reference model until the at least one updated image corresponds to the initial reference model. Determination, from the updated reference model and from said target reference model, of a plurality of remaining-treatments for moving the teeth from their position represented in the updated reference model into their position represented in the target reference model. Determination of a profile including at least one value for an evaluation parameter. Evaluation of each profile by an evaluation rule. Determination the profile of which is optimal for replacing an orthodontic appliance with an aligner.

    METHOD FOR CUTTING A MODEL OF A DENTAL ARCH

    公开(公告)号:US20210272281A1

    公开(公告)日:2021-09-02

    申请号:US17259519

    申请日:2019-07-10

    Abstract: Method for cutting a three-dimensional model of a dental scene, or “scene model.” The method includes acquiring a view of the scene model, called the “analysis view.” The method includes analyzing the analysis view by a neural network in order to identify, in the analysis view, at least one elementary zone representing an element of the dental scene, and assigning a value to at least one attribute of the elementary zone. The method includes identifying a region of the scene model represented by the elementary zone on the analysis view, and assigning, in the region, a value to an attribute of the scene model in accordance with the value of the attribute of the elementary zone.

    Method for analyzing an image of a dental arch

    公开(公告)号:US10755409B2

    公开(公告)日:2020-08-25

    申请号:US16031201

    申请日:2018-07-10

    Abstract: A method for acquiring an image of a dental arch of a patient. Activation of an image acquisition apparatus so as to acquire an analysis image of the arch. Analysis of the analysis image by a deep learning device trained by a learning base. Determination, for the analysis image, as a function of the results of the analysis, of a value for an image attribute. Comparison of the image attribute value with a setpoint. Sending of an information message as a function of the comparison, the information message being related to the quality of the image acquired and/or to the position of the acquisition apparatus in relation to said arch and/or to the setting of the acquisition apparatus and/or to the opening of the mouth and/or to the wearing of a dental appliance.

    Method for analyzing an image of a dental arch

    公开(公告)号:US10685259B2

    公开(公告)日:2020-06-16

    申请号:US16030032

    申请日:2018-07-09

    Abstract: A method for enriching a learning base intended for the training of a deep learning device. Production of an updated reference model of a dental arch and segmentation to produce a tooth model for each tooth. Acquisition of at least one updated image of the arch. For each updated image, search for virtual acquisition conditions suitable for an acquisition of a reference image of the updated reference model exhibiting a maximum match with the updated image, and acquisition of the reference image. Identification, in the reference image, of at least one reference tooth zone representing a tooth model by comparison of the updated image and the reference image determination of an updated tooth zone representing the tooth model. Assignment, to the updated tooth zone, of the tooth attribute value or values of the tooth model. Addition of the updated image enriched with value or values in the learning base.

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