Align Technology

A method may include obtaining a first 3D model of an upper jaw of a patient using an intraoral scanner and obtaining a second 3D model of the lower jaw of the patient using the intraoral scanner. The method may also include capturing a series of 2D images of the upper and lower jaws of the patient as the patient is moves the upper jaw and lower jaw in dynamic occlusion and processing the captured series of 2D images to identify features associated with the upper jaw of the patient and the lower jaw of the patient. For each 2D image in the captured series of 2D images, the method may include identifying a relative position of the first 3D model and the second 3D model based on alignment of features in the first 3D model and second 3D model with the features identified in the 2D image to generate a series of relative positions of the first 3D model and the second 3D model. The method may also include modeling dynamic occlusion of the upper jaw and the lower jaw of the patient based on the series of relative positions of the first 3D model and the second 3D model.

Dental attachment placement apparatuses with one or more replacement attachment systems for providing one or more replacement dental attachments. The replacement attachment systems may include a body that is configured to orient and align the apparatus with respect to the teeth. The apparatus may include one or more primary dental attachments coupled to the body, where the body is configured to position the primary dental attachments adjacent to the teeth for bonding. The replacement system can be configured to replace the primary dental attachments and align replacement dental attachments with respect to the teeth.

An intraoral scanning system includes an intraoral scanner and a computing device. The computing device receives first intraoral scans from the intraoral scanner during an intraoral scanning session; registers the first intraoral scans together based on overlapping features of the plurality of intraoral scans; generates a first three-dimensional (3D) surface based on the first intraoral scans; receives second intraoral scans; determines that the second intraoral scans fail to satisfy one or more registration criteria for registering to at least one of the first intraoral scans or the first 3D surface; generates a second 3D surface based on stitching together the second intraoral scans without interrupting the intraoral scanning session; and outputs the first 3D surface to a first region of a display and the second 3D surface to a second region of the display. The computing device additionally receives third intraoral scans; updates the second 3D surface based on stitching the third intraoral scans to the second 3D surface; determines that the second 3D surface overlaps with the first 3D surface; merges the second 3D surface to the first 3D surface to generate a combined 3D surface; and outputs the combined 3D surface to the display.

A method includes receiving sensor data associated with manufacturing of one or more dental appliances in a dental appliance manufacturing system. The method further includes providing the sensor data as input into a trained machine learning model and receiving output from the trained machine learning model. The method further includes determining, based on the output, one or more heating element setpoints to cause a substantially even heat distribution on a sheet of plastic to form the one or more dental appliances.

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …