Abstract: Systems for modeling a digital articulator may include a processor in electronic communication with an extraoral imaging device and an intraoral imaging device and a non-transitory computer readable medium having instructions stored thereon that when executed by the processor capture 3D data of the patient's face in with the extraoral imaging device, capture a 3D model of the patient's dentition, align the 3D model of the patient's dentition with 3D data of the patient's face, generate an estimate of the temporomandibular joint characteristics based on the 3D model of the patient's face, and derive digital articular settings for a digital articular based on the 3D model of the patient's dentition with the 3D data of the patient's face and the estimate of the temporomandibular joint characteristics.

Abstract: Systems and methods for monitoring a patient's teeth during orthodontic treatment, which may include an orthodontic appliance having one or more sensors configured to sense at least one parameter related to a change in movement and/or position of one or more teeth of the patient's teeth. One or more processors may be configured to receive sensor data captured by the one or more sensors while the orthodontic appliance is worn on the patient's teeth. The sensor data may be converted to predicted tooth position and/or movement associated with the one or more teeth. The predicted tooth position and/or movement may be compared to an expected tooth position and/or movement of the one or more teeth. Based on the comparison, a determination may be made that the orthodontic treatment should be modified or that the orthodontic appliance should be replaced.

Abstract: 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.

Abstract: Systems and methods for monitoring a patient's teeth during orthodontic treatment, which may include the use of a series of appliances according to a corresponding series of treatment stages. The system may include a device in communication with one or more sensors of a first appliance implementing a particular treatment stage. The device may be configured to receive monitoring data corresponding to sensor data captured at the one or more sensors, where the sensor data is associated with at least one parameter related to a change in position or movement of the teeth. The device may further be configured to predict tooth positions or movements based on the sensor data, and compare the predicted tooth positions or movements to expected tooth positions or movements. The device may additionally be configured to determine that the first appliance should be replaced with a second appliance based on the comparison.

Abstract: Methods and systems for building a 3D model of teeth from a 2D image are provided, including: accessing a first 2D image depicting a patient's face and teeth; determining edges of one or more oral features in the first 2D image; obtaining an arch model including teeth with generic parameters; determining one or more case-specific parameters for a shape of at least one of the patient's teeth by fitting the teeth of the arch model to the edges of the one or more oral features in the first 2D image; generating a 3D parametric model of the patient's teeth by adjusting at least one of the teeth of the arch model based on the one or more case-specific parameters; and outputting the 3D parametric model or a second 2D image based on the 3D parametric model for display to a user on a display device.

Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.

Abstract: A system for treating food traps may include an intraoral scanner and a processor coupled in electronic communication with the intraoral scanner, a processor, and memory comprising instructions that when executed by the processor cause the system to carry out a method. The method may include receiving a 3D digital model of a patient's detention and analyzing the 3D digital model of the patient's detention by detecting anatomic structures in the 3D digital model of the patient's detention that correspond to food traps. The 3D digital model of the patient's detention may be displayed on a display and digital feedback may be provided on the displayed 3D digital model of the patient's detention. The feedback may identify a location of the food traps.

Abstract: Systems and methods for monitoring a patient's teeth during orthodontic treatment, which may include the use of a series of appliances according to a corresponding series of treatment stages. The system may include a device in communication with one or more sensors of a first appliance implementing a particular treatment stage. The device may be configured to receive monitoring data corresponding to sensor data captured at the one or more sensors, where the sensor data is associated with at least one parameter related to a change in position or movement of the teeth. The device may further be configured to predict tooth positions or movements based on the sensor data, and compare the predicted tooth positions or movements to expected tooth positions or movements. The device may additionally be configured to determine that the first appliance should be replaced with a second appliance based on the comparison.

Abstract: Orthodontic systems for monitoring treatment. The systems can include at least one orthodontic appliance that includes one or more sensors. A processor in communication with the sensor(s) is configured to receive sensor data from the sensor(s), where the sensor data corresponds to a force acting on one or more teeth. The processor is further configured to predict tooth movement based on the sensor data. The predicted tooth movement is determined by predicting how much teeth will move based on a direction and a magnitude of the force. The processor is further configured to compare the predicted tooth movement to an expected tooth movement, where the expected tooth movement is based on a treatment stage of a treatment plan. The processor is further configured to modify the treatment plan if the predicted tooth movement does not match the expected tooth movement based on the treatment stage of the treatment plan.

Abstract: 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.

Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.

Abstract: Methods for simulating orthodontic treatment are provided. In some embodiments, a method includes capturing a first representation, the first representation including a depiction of a patient's teeth. The method can include building a parametric model of the patient's teeth based on the first representation, using one or more case-specific parameters for one or more shapes associated with at least one of the patient's teeth. The method can also include simulating an outcome of a dental treatment plan for the patient's teeth to produce a simulated outcome of the dental treatment plan. The method can further include modifying the parametric model to provide a modified model representing the simulated outcome of the dental treatment plan.

Abstract: Method and Apparatuses for monitoring progress of an orthodontic treatment plan and automatically or semi-automatically modifying the orthodontic treatment plan. The orthodontic treatment plan may be monitored by sensors on one or more appliance in the treatment plan, and may be monitored if the sensed data deviates from the expected treatment plan.

Abstract: Method and Apparatuses for monitoring progress of an orthodontic treatment plan and automatically or semi-automatically modifying the orthodontic treatment plan. The orthodontic treatment plan may be monitored by sensors on one or more appliance in the treatment plan, and may be monitored if the sensed data deviates from the expected treatment plan.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth based on the 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth based on the 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth based on the 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth based on the 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth based on the 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: Method and Apparatuses for monitoring progress of an orthodontic treatment plan and automatically or semi-automatically modifying the orthodontic treatment plan. The orthodontic treatment plan may be monitored by sensors on one or more appliance in the treatment plan, and may be monitored if the sensed data deviates from the expected treatment plan.