Abstract: A method to acquire dental images of a patient with a support defining a chamber that is in communication with an outside of said chamber via a first opening and via a second opening. The method includes the following steps: fixing a mobile phone in front of the second opening; positioning the first opening in front of a mouth of the patient; and acquiring at least one dental image by means of the mobile phone.

Abstract: A method for monitoring the positioning of the teeth including production of a three-dimensional digital initial reference model of the arches of the patient and, for each tooth, definition, from the initial reference model, of a three-dimensional digital reference tooth model; acquisition of updated image of at least one two-dimensional image of the arches in actual acquisition conditions; analysis of each updated image and production, for each updated image, of an updated map; optionally, determination, for each updated image, of rough virtual acquisition conditions approximating the actual acquisition conditions; searching, for each updated image, for a final reference model corresponding to the positioning of the teeth during the acquisition of the updated image, for each tooth model, comparison of the positionings of the tooth model in the initial reference model and in the reference model obtained at the end of the preceding steps to determine the movement of the teeth

Abstract: A method for acquiring at least one two-dimensional image of a part of arches of a patient includes steps carried out by the patient or other person who is not a dental health professional, for example, including placing a dental separator in the mouth of the patient in order to separate the lips of the patient and improve the visibility of the teeth during the acquisition of said at least one two-dimensional image, and acquiring, in a mouth closed position and with a personal image acquisition apparatus, said at least one two-dimensional image.

Abstract: A method for monitoring the positioning of the teeth including production of a three-dimensional digital initial reference model of the arches of the patient and, for each tooth, definition, from the initial reference model, of a three-dimensional digital reference tooth model; acquisition of updated image of at least one two-dimensional image of the arches in actual acquisition conditions; analysis of each updated image and production, for each updated image, of an updated map; optionally, determination, for each updated image, of rough virtual acquisition conditions approximating the actual acquisition conditions; searching, for each updated image, for a final reference model corresponding to the positioning of the teeth during the acquisition of the updated image, for each tooth model, comparison of the positionings of the tooth model in the initial reference model and in the reference model obtained at the end of the preceding steps to determine the movement of the teeth.

Abstract: A method to acquire dental images of a patient with a support defining a chamber that is in communication with an outside of said chamber via a first opening and via a second opening. The method includes the following steps: fixing a mobile phone in front of the second opening; positioning the first opening in front of a mouth of the patient; and acquiring at least one dental image by means of the mobile phone.

Abstract: A method for generating an image of a dental arch of a beneficiary, called “modified image.” The method includes, at an acquisition time, acquiring a photo depicting the dental arch, called “original image.” The method successively includes processing the original image such that it depicts discriminating information. The method successively includes submitting the original image at the input of a neural network, called “simulation neural network”, trained, based on the original image, to simulate, on the original image, the effect of a dental event, in order to obtain the modified image.

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.

Abstract: A method for analyzing a real dental situation of a patient. The method includes steps, as follows, in succession. At an updated instant, acquisition of an updated image representing a real dental scene as observed by an operator. Determination of a virtual dental scene as a function of the representation of the real dental scene on the updated image. Presentation of the virtual dental scene in transparent mode and overlaid on the real dental scene, or display of the updated image on a screen and presentation of the virtual dental scene overlaid with the representation of the real dental scene on the updated image displayed on the screen, in transparent mode or not on the representation.

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.

Abstract: A method includes the following steps of (i) production with a 3D scanner, of a three-dimensional digital reference model of at least part of a dental arch of the patient, or “initial reference model”; (ii) acquisition, in actual acquisition conditions, by the patient or one of his or her close relatives, with a mobile phone, of at least three two-dimensional images of the dental arches of the patient corresponding to a front view, a right-side view and a left side view of the teeth of the patient, respectively, called “updated images”; and (iii) searching, through modification of the initial reference model, for a final reference model corresponding to the positioning and/or the shape of the teeth on the updated images.

Abstract: A method for generating a 3D digital, updated, model of a dental arch, including: Acquiring at least one updated image. Each updated image representing an active aligner attached, in an operating position, to a dental arch, or ‘image with aligner’, or representing the dental arch without an aligner, or ‘image of uncovered teeth’. Searching in an updated image, referred to as the ‘updated analysis image’, for representations of teeth that are non-compliant with the treatment scenario. If one or more non-compliant teeth are identified, determining, depending on the updated time, one of an intermediate models, or ‘active intermediate model’, then identifying one or more models of teeth representing the noncompliant tooth or teeth, respectively, in the active intermediate model. Deforming the active intermediate model until an updated model is obtained that is compatible with at least one of the updated images.

Abstract: A method for analyzing an image, called “analysis image”, of a dental arch of a patient. The method in which the analysis image is submitted to a neural network, in order to determine at least one value of an image attribute relating to the analysis image. The analysis image is a photograph or an image taken from a film. The image attribute relates to a position or an orientation or a calibration of an acquisition apparatus used to acquire the analysis image or a combination thereof, or a quality of the analysis image, and in particular relating to the brightness, to the contrast or to the sharpness of the analysis image, or a combination thereof.

Abstract: A method for evaluating, by computer, at an “updated” time, the conformity of an orthodontic aligner with a dental arch of a patient, referred to as the “support arch.” The method includes the following successive steps: A) producing a digital three-dimensional model of the support arch in its configuration at the updated time, or an “updated reference model”, and determining from the updated reference model, a support surface for the aligner; B) deforming the support surface on the basis of the geometry of the aligner in order to obtain a deformed support surface; C) comparing an external surface of the aligner with the deformed support surface, then determining, on the basis of the comparison, at least one score for the conformity of the aligner with the support arch.

Abstract: An acquisition kit, including: a mouthpiece intended for being placed into the mouth of a patient and including a reference mark; and an image-acquisition apparatus including a screen for viewing an image that can be acquired, computer memory containing information on target acquisition conditions, and a computer program comprising program code instructions for displaying on said screen a reference in a position such that, when the reference mark matches the reference on the screen, the acquisition apparatus complies with the target acquisition conditions.

Abstract: A method for transforming an “original” view of an “original” digital three-dimensional model into a hyper-realistic view. The method includes creating a “transformation” learning base of more than 1000 “transformation” records. Each transformation record includes a “transformation” photo representing a scene, and a view of a “transformation” digital three-dimensional model modeling the scene, or “transformation view”, the transformation view representing the scene in the same way as the transformation photo. The method includes training at least one “transformation” neural network, by way of the transformation learning base. The method includes submitting the original view to the at least one transformation neural network, such that it transforms it into a hyper-realistic view.

Abstract: A method for analyzing an image, called analysis image, of a dental arch of a patient. The analysis image is submitted to a deep learning device in order to determine at least one value of a tooth attribute relating to a tooth represented on the analysis image, and/or at least one value of an image attribute relating to the analysis image.

Abstract: A method for monitoring the shape of teeth including: producing a three-dimensional digital model of at least one portion of an arch of the patient or “initial reference model”; acquiring at least one two-dimensional image of the arches, referred to as “updated image”, under actual acquisition conditions; analysing each updated image and producing an updated map relating to a piece of discriminating information; optionally determining rough virtual acquisition conditions that approximate the actual acquisition conditions; searching each updated image for a final reference model corresponding to the shape of the teeth, and optionally to the positioning of the teeth, during the acquisition of the updated image; and comparing the shapes of the initial reference model and of the reference model obtained at the end of the preceding steps, referred to as “final reference model”, in order to determine the deformation and/or the movement of teeth between steps a) and b).

Abstract: A dental photography kit that includes a support, taking the form of a housing. The support includes a support attachment part. The kit includes a dental retractor that defines a retractor opening and that includes a retractor attachment part that is removably attached to the support attachment part when the retractor is in the mounted position on the support. The kit includes a camera that is removably attached to the support in an operating position in which the camera is oriented to receive an at least partial image of the retractor opening. The retractor attachment part is articulated on the support attachment part.

Abstract: A method for enriching a historical learning base. Training of a first neural network to transform first photos of first dental scenes into first hyper-realistic images to simulate the effect of a dental event on the first dental scenes. Submission, to the trained first neural network, of a source photo representing a source dental scene in a dental context, so as to obtain a final image representing, hyper-realistically, the source dental scene after simulation of the dental event. Creation of a descriptor of the final image, or “final descriptor.” Creation of a historical record consisting of the final image and the final descriptor, and addition of the historical record in the historical learning base.

Abstract: A method for evaluating an orthodontic appliance. Acquisition of a two-dimensional “appliance image” of teeth at least partially representing the orthodontic appliance in a service position. Acquisition of a two-dimensional “dentition image” of the teeth. If a determination of comparable dental and appliance attributes is not possible from the appliance image and from the dentition image, respectively, conversion of the appliance image and/or of the dentition image so that the appliance image be compatible with the dentition image. Determination of dental and appliance attributes relative to the shape of the tooth represented on the dentition image and relative to the shape of the orthodontic appliance on the appliance image. Comparison of the dental and appliance attributes, followed by determination of at least one score. At least one image is acquired with a mobile phone.