Abstract: Processing logic makes a comparison between first image data and second image data of a dental arch and determines a plurality of spatial differences between a first representation of the dental arch in the first image data and a second representation of the dental arch in the second image data. The processing logic determines that a first spatial difference is attributable to scanner inaccuracy and that a second spatial difference is attributable to a clinical change to the dental arch. The processing logic generates a third representation of the dental arch that is a modified version of the second representation, wherein the first spatial difference is removed in the third representation, and wherein the third representation comprises a visual enhancement that accentuates the second spatial difference.

Abstract: Embodiments are directed to techniques, methods and systems for analyzing orthodontic treatments during treatment and correcting the orthodontic treatments when analysis shows that a patient's actual dentition for a stage of treatment deviates from a planned dentition for the stage of treatment. Analysis may be performed by comparing image data of an actual condition of the patient's dental arch at a stage of treatment to a planned condition of the patients dental arch for the stage of treatment, and identifying clinical signs that the actual condition of the patient's dental arch has a deviation from the planned condition of the patient's dental arch for the stage of orthodontic treatment.

Abstract: The present disclosure provide for methods of planning restorative procedures. Methods may involve identifying an initial position of a patient's teeth based on a digital representation of the patient's teeth, and determining one or more candidate orthodontic positions for the patient's teeth, wherein each of the one or more candidate orthodontic positions is a target position of the patient's teeth being considered. Methods may further involve virtually modeling a first restorative object at a first evaluated restorative object position on one of the patient's teeth, evaluating a first amount of tooth mass removal corresponding to the first restorative object based on the first evaluated restorative object position and one of the candidate orthodontic positions, and determining a final orthodontic position and a final restorative object position based on the first amount of tooth mass removal.

Abstract: Apparatuses and methods for improving a patient's buccal corridor, including developing treatment plans and/or appliances to improve and enhance buccal corridor. Also described herein are methods of treating a patient's teeth to enhance the patient's buccal corridor.

Abstract: Apparatuses and methods for improving a patient's buccal corridor, including developing treatment plans and/or appliances to improve and enhance buccal corridor. Also described herein are methods of treating a patient's teeth to enhance the patient's buccal corridor.

Abstract: Orthodontic and/or dental treatment planning methods and apparatuses. In particular, described herein are methods of generating a plurality of potential treatment plan variations for the concurrent and interactive review of the treatment plan variations. Each variation may be optimized to best address the user's treatment goals, as well as approximating as closely as possible an ideal or target final position. Also described herein are orthodontic and/or dental treatment planning methods and apparatuses that allow a user to form, modify, and select a treatment plan from a plurality of different treatment plans, in real time.

Abstract: Embodiments for determining a dental treatment difficulty are described herein. One method embodiment includes receiving an initial and subsequent position of each of a first tooth and a second tooth and calculating a change in position of each of the first tooth and the second tooth. The method embodiment can also include projecting the changes in position of each of the first tooth and the second tooth onto a reference line and calculating a change in position on the reference line for the first tooth and the second tooth. The method embodiment can further include determining the dental treatment difficulty based on the changes in position on the reference line.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: A computer-implemented method for generating a virtual depiction of an orthodontic treatment of a patient is disclosed herein. The computer-implemented method may involve gathering a three-dimensional (3D) model modeling the patient's dentition at a specific treatment stage of an orthodontic treatment plan. An image of the patient's face and dentition may be gathered. A first set of reference points modeled on the 3D model of the patient's dentition and a second set of reference points represented on the dentition of the image of the patient may be received. The image of the patient's dentition may be projected into a 3D space to create a projected 3D model of the image of the patient's dentition. Based on a comparison of the first reference points and projections of the second set of reference points, a modified image of the patient may be constructed and/or modeled.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: Embodiments for determining a dental treatment difficulty are described herein. One method embodiment includes receiving an initial and subsequent position of each of a first tooth and a second tooth and calculating a change in position of each of the first tooth and the second tooth. The method embodiment can also include projecting the changes in position of each of the first tooth and the second tooth onto a reference line and calculating a change in position on the reference line for the first tooth and the second tooth. The method embodiment can further include determining the dental treatment difficulty based on the changes in position on the reference line.

Abstract: A computer-implemented method for virtually representing an orthodontic treatment outcome using automated detection of facial and dental reference objects is disclosed herein. The computer-implemented method may involve modeling initial positions of an orthodontic patient's teeth in a three-dimensional (3D) virtual model and determining the effect of application of various force systems applied through an orthodontic treatment plan on the patient's teeth. Images of the patient's face may be used to identify facial reference objects. Dental reference objects of the patient's dentition may be identified from the 3D virtual model. A relationship between the facial reference objects and the dental reference objects may form the basis of modifications to the orthodontic treatment plan and/or modeling final orthodontic positions of the orthodontic treatment plan.

Abstract: A computer readable medium comprises instructions that, when executed by one or more processor, cause the one or more processor to receive image data of an actual condition of a patient's dental arch at a stage of an orthodontic treatment plan, compare the image data of the actual condition of the patient's dental arch to a planned condition of the patient's dental arch for the stage of the orthodontic treatment plan, identify one or more clinical signs that the actual condition of the patient's dental arch has a deviation from the planned condition of the patient's dental arch for the stage of the orthodontic treatment plan based on a result of the comparing, and determine one or more corrective actions for the orthodontic treatment.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: A processing device receives image data of an actual condition of a patient's dental arch at an intermediate stage of a multistage orthodontic treatment plan. The processing device compares the image data of the actual condition of the patient's dental arch to a planned condition of the patient's dental arch for the intermediate stage. The processing device identifies one or more clinical signs that the actual condition of the patient's dental arch has a deviation from the planned condition of the patient's dental arch for the intermediate stage of the multi-stage orthodontic treatment plan based on a result of the comparing. The processing device determines one or more probable root causes for the deviation based on the one or more clinical signs. The processing device additionally determines one or more corrective actions for the multi-stage orthodontic treatment plan based on the one or more probable root causes.

Abstract: A computer-implemented method for virtually representing an orthodontic treatment outcome using automated detection of facial and dental reference objects is disclosed herein. The computer-implemented method may involve modeling initial positions of an orthodontic patient's teeth in a three-dimensional (3D) virtual model and determining the effect of application of various force systems applied through an orthodontic treatment plan on the patient's teeth. Images of the patient's face may be used to identify facial reference objects. Dental reference objects of the patient's dentition may be identified from the 3D virtual model. A relationship between the facial reference objects and the dental reference objects may form the basis of modifications to the orthodontic treatment plan and/or modeling final orthodontic positions of the orthodontic treatment plan.

Abstract: The present disclosure includes computing device related, systems, and methods for IPR planning as described herein. One method includes identifying a first tooth and a second tooth in a digital dental model with an overlap in a target final position in a treatment plan and identifying a reference line on each of the first tooth and the second tooth; revising the treatment plan wherein a position of each of the first tooth and the second tooth is determined in which the reference line of each of the first tooth and the second tooth are aligned and the first tooth and second tooth are not overlapping; and prescribing IPR based on the determined position of each of the first tooth and the second tooth.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for adjustment of tooth position in a virtual dental model. Virtual dental modeling can include detecting space and/or collision between posterior teeth of an upper jaw and posterior teeth of a lower jaw in a virtual dental model that has been set in a preliminary target position. An energy function can be defined including the space and/or collision, tooth root movement, and align points. Weights can be assigned for each variable in the energy function. A position of the posterior teeth of the upper jaw and the posterior teeth of the lower jaw can be adjusted in six degrees of freedom to minimize the energy function. The detection, definition, assignment, and adjustment can be repeated until the energy function converges. The weights can be adjusted to reduce the space and/or collision.

Abstract: Provided herein are methods and apparatuses for analyzing a patient's dental arches in order to generate a treatment plan for the dentition. In particular described herein are methods and apparatuses for analyzing a patient's dental arches when the patient is missing one or more teeth. Methods and apparatuses are provided to properly number the teeth of a patient's arches after a dental scan, including automatically detect missing teeth after a dental scan and estimating the dimensions of the missing teeth. Methods and apparatuses are provided to perform an analysis of the patient's arches that uses the estimated dimensions of the missing teeth. Methods and apparatuses for designing and manufacturing the aligner are also provided.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for adjustment of tooth position in a virtual dental model. Virtual dental modeling can include detecting space and/or collision between posterior teeth of an upper jaw and posterior teeth of a lower jaw in a virtual dental model that has been set in a preliminary target position. An energy function can be defined including the space and/or collision, tooth root movement, and align points. Weights can be assigned for each variable in the energy function. A position of the posterior teeth of the upper jaw and the posterior teeth of the lower jaw can be adjusted in six degrees of freedom to minimize the energy function. The detection, definition, assignment, and adjustment can be repeated until the energy function converges. The weights can be adjusted to reduce the space and/or collision.