A normal vector or a curvature at each of a plurality of vertexes that are included in data relating to an oral cavity shape including a tooth crown shape of at least one tooth and define the oral cavity shape is acquired. Then, a vertex group that defines the tooth crown shape of the at least one tooth is extracted from the plurality of vertexes based on the acquired normal vectors or curvatures. Further, the extracted vertex group is outputted as tooth crown shape information that specifies a tooth crown portion in the oral cavity shape. Consequently, automatic construction of a database for a tooth crown shape can be implemented.

Provided herein are computer-implemented methods, computer-implemented systems, and a non-transitory computer-readable storage media for directing an automated dental drill (ADD) for preparation of a target tooth of a patient under the control of a practitioner

Provided herein are computer-implemented methods, computer-implemented systems, and a non-transitory computer-readable storage media for directing an automated dental drill (ADD) for preparation of a target tooth of a patient under the control of a practitioner

A method of creating a 3-D anatomic digital model for determining a desired location for placing at least one dental implant in a patient's mouth. The method comprises the act of obtaining a first dataset associated with hard tissue of the patient's mouth. The method further comprises the act of obtaining a second dataset associated with soft tissue of the patient's mouth. The method further comprises the act of combining the first dataset and the second dataset to create a detailed structure of hard tissue and soft tissue having variable dimensions over the hard tissue.

A method of creating a 3-D anatomic digital model for determining a desired location for placing at least one dental implant in a patient's mouth. The method comprises the act of obtaining a first dataset associated with hard tissue of the patient's mouth. The method further comprises the act of obtaining a second dataset associated with soft tissue of the patient's mouth. The method further comprises the act of combining the first dataset and the second dataset to create a detailed structure of hard tissue and soft tissue having variable dimensions over the hard tissue.

A system for fabricating a dental restoration to restore a plurality of teeth in a dentition of a patient is described. The dentition includes a restoration dental arch and an opposing dental arch. The restoration dental arch includes a restoration site and the opposing dental arch is opposite the restoration dental arch. The system includes an impression apparatus, a motion capture apparatus, an interference model generation system, and a restoration design system. The impression apparatus is configured to capture an impression of the dentition of the patient. The motion capture apparatus is configured to capture a plurality of location data points that represent the locations of the opposing dental arch relative to the restoration dental arch. The interference model generation system is configured to generate an interference model for the restoration site. The restoration design system is for designing a restoration using the interference model.

A system for fabricating a dental restoration to restore a plurality of teeth in a dentition of a patient is described. The dentition includes a restoration dental arch and an opposing dental arch. The restoration dental arch includes a restoration site and the opposing dental arch is opposite the restoration dental arch. The system includes an impression apparatus, a motion capture apparatus, an interference model generation system, and a restoration design system. The impression apparatus is configured to capture an impression of the dentition of the patient. The motion capture apparatus is configured to capture a plurality of location data points that represent the locations of the opposing dental arch relative to the restoration dental arch. The interference model generation system is configured to generate an interference model for the restoration site. The restoration design system is for designing a restoration using the interference model.

A method of repairing an oral defect model includes performing a three-dimensional oral defect model obtaining step, a defect cutting line detecting step, a defect point selecting step and a smoothing step. The three-dimensional oral defect model obtaining step is performed to scan an oral cavity to obtain a three-dimensional oral defect model message. The defect cutting line detecting step is performed to detect a defect cutting line of the three-dimension oral defect model message, and drive a displayer to display the defect cutting line. The defect point selecting step is performed to select at least one defect feature point of the defect cutting line via the displayer. The smoothing step is performed to perform a smoothing process at the at least one defect feature point, and convert the three-dimensional oral defect model message into a three-dimensional oral repaired model message to smooth the defect cutting line.

A method of repairing an oral defect model includes performing a three-dimensional oral defect model obtaining step, a defect cutting line detecting step, a defect point selecting step and a smoothing step. The three-dimensional oral defect model obtaining step is performed to scan an oral cavity to obtain a three-dimensional oral defect model message. The defect cutting line detecting step is performed to detect a defect cutting line of the three-dimension oral defect model message, and drive a displayer to display the defect cutting line. The defect point selecting step is performed to select at least one defect feature point of the defect cutting line via the displayer. The smoothing step is performed to perform a smoothing process at the at least one defect feature point, and convert the three-dimensional oral defect model message into a three-dimensional oral repaired model message to smooth the defect cutting line.

A system for maximum intercuspation articulation, including a database including patient records and images, and a server in communication with the database and including processing circuitry configured to receive virtual modeling geometrics of two opposing dental models as an input, wherein the two opposing dental models include an upper dental model and a lower dental model of the patient. The processing circuitry is also configured to detect intersection regions between the upper dental model and the lower dental model and perform a simulation on the two opposing dental models, wherein the simulation includes applying simulated physics rules at the two opposing dental models. The processing circuitry is further configured to repeat the detection of the intersection regions and the simulation to generate a maximum intercuspation alignment of the two opposing dental models, mark the intersection regions on the maximum intercuspation alignment, and output the maximum intercuspation alignment.