A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.

A digital dental x-ray sensor device includes a rounded, three dimensional housing that lacks corners, edges, or other relatively sharp features that are known to cause discomfort when used in a patient's mouth. The rounded housing can be spherical, ellipsoid, or any similar regular or irregular rounded shape, and can be formed by ensuring that all curves of the surface of the rounded housing have a minimum radius that is sufficient to prevent features that can dig into the soft tissue of the inside of a patient's mouth.

A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.

A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.

A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.

Disclosed are an X-ray irradiating device having a function of selecting an automatic radiographic mode and an X-ray imaging method using the same. The X-ray irradiating device includes an X-ray source, a motion sensor configured to detect an X-ray source pointing direction, and a controller configured to select any one of a plurality of radiographic modes according to a pointing angle signal received from the motion sensor. The X-ray imaging method, which uses the above described X-ray imaging apparatus, includes setting a reference plane as a reference value for a pointing angle in which an X-ray source is directed, detecting the pointing angle relative to the reference plane by using a motion sensor and selecting a radiographic mode corresponding to the detected pointing angle, and performing a radiography by controlling the X-ray source with a set value corresponding to the selected radiographic mode.

A processing device receives a first virtual 3D model and a second virtual 3D model, each comprising one or more teeth of a patient. The processing device compares the first virtual 3D model to the second virtual 3D model and determines, as a result of the comparing, a difference between the first virtual 3D model and the second virtual 3D model at a dental site comprising a tooth of the one or more teeth. The processing device determines whether the difference comprises a first type of change to the tooth that is indicative of tooth wear or a second type of change to the tooth that is indicative of tooth movement associated with orthodontic treatment. Responsive to determining that the first difference comprises the first type of change to the first tooth, the processing device generates a first indicator of the tooth wear for the tooth.

An intra-oral dental radiological image sensor is mechanically reinforced by two front R.sub.A and rear R.sub.B mechanical reinforcing plates each inserted between a respective face of an image capture module and a respective front 20A and rear 20B shell bottom of a casing. The front reinforcing plate is a solid plate, made of material transparent to X rays, covering the photosensitive front face (scintillator) of the module, and harder than the front shell. The rear plate, less thick than the front plate, is harder than the rear shell and comprises an opening O provided to surround, without covering them, components present on the rear face of the module, under a rear shell dome.

A method for visualizing patient dentition acquires a contour image of patient dentition and segments the contour image to identify one or more segmented teeth. At least one deciduous tooth among the one or more segmented teeth is identified. A virtual model of a target dentition arrangement of the patient dentition is generated, wherein the at least one deciduous tooth is replaced by a replacement permanent tooth.

A surgical device for identification of a surgical site of interest, such as a craniofacial or dental site (root apex of an identified tooth), and a method for using the device is provided. The device includes a perimeter bar and a plurality of intermediate cross bars arranged in a grid structure. The device can be used during a surgical procedure requiring enhanced precision, such as during an endodontic surgical procedure, by positioning the device next to a patient's tooth and capturing a CBCT image, the CBCT image being used to identify a drilling location. The device can be repositioned alongside the patient's tooth, and used to identify an accurate drilling position.