Abstract: A method for segmenting a 3D model image of a patient's dentition obtains a first 3D model image of the patient dentition and obtains a first segmentation of the first 3D model image, wherein the first segmentation provides at least a tooth surface contour and a tooth label for one or more teeth of the first 3D model. A second 3D model image of the patient dentition is obtained. Each segmented tooth surface contour of the first 3D model is registered to corresponding tooth surface contour of the second 3D model. A second segmentation of the second 3D model image is obtained according to the registered tooth surface contour, wherein the second segmentation similarly provides at least tooth surface contour and a tooth labeling for one or more teeth of the second 3D model image. The segmented second 3D model image is displayed, transmitted, or stored.

Abstract: 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.

Abstract: A method and system for fabricating a dental appliance for orthodontic treatment. The method comprises the steps of obtaining three-dimensional dental data from a patient scan, locating initial tooth positions, generating optimal arch forms, and determining a digital model for fabricating an orthodontic aligner with additive device. The system comprises a scanning apparatus to acquire three-dimensional dental data, and a computer apparatus programmed with instructions for generating optimal arch forms, and determining a digital model for fabricating an orthodontic aligner with additive device.

Abstract: Method and/or apparatus embodiments for 3-D cephalometric analysis of a patient according to the application can display reconstructed volume image data from a computed tomographic scan of a patient's head including segmented dentition elements having an initial arrangement from one or more 2D/3D views; can compute and display a plurality of cephalometric parameters for the patient according to the reconstructed volume image data; then use the patient specific cephalometric parameters and population biometry data, to identify one or more maxillofacial/dental abnormalities; and compose patient specific treatment plans to correct selected dentition abnormalities using maxillofacial/dental structure, which can be composed in a final tooth arrangement in a final virtual CT volume. One or more aligners can be generated to incrementally move dentition from the initial arrangement to the final tooth arrangement.

Abstract: Method for automatically assigning numeric labels to teeth in a dental arch map provides a segmented 3D surface image of patient dentition having identified individual teeth and determined tooth position in the dental arch. A tooth contour for the identified teeth is defined. The tooth type is identified as one of incisor, canine, premolar, or molar. A display of the tooth contour is labeled with an assigned tooth number according to the tooth position, tooth contour, and tooth type. The labeled mapping is displayed.

Abstract: Method and/or apparatus embodiments for 3-D cephalometric analysis of a patient according to the application can display reconstructed volume image data from a computed tomographic scan of a patient's head including segmented dentition elements having an initial arrangement from one or more 2D/3D views; can compute and display a plurality of cephalometric parameters for the patient according to the reconstructed volume image data; then use the patient specific cephalometric parameters and population biometry data, to identify one or more maxillofacial/dental abnormalities; and compose patient specific treatment plans to correct selected dentition abnormalities using maxillofacial/dental structure, which can be composed in a final tooth arrangement in a final virtual CT volume. One or more aligners can be generated to incrementally move dentition from the initial arrangement to the final tooth arrangement.

Abstract: Method and/or apparatus embodiments can provide a virtual orthodontic base, adapted to each virtual 3D dental model of the teeth (e.g., upper and lower jaw). The virtual orthodontic base should match each 3D model (e.g., size), conform to prescribed dimensional requirements and still be rapidly calculated. The 3D virtual teeth model can be provided or reconstructed (e.g., from a laser scanning, intra oral camera scanning or x-ray scan of a plaster, a negative impression (e.g., alginate or silicon) of a patient's dentition or directly from the patient's mouth).

Abstract: A method for segmenting a 3D model image of a patient's dentition obtains a first 3D model image of the patient dentition and obtains a first segmentation of the first 3D model image, wherein the first segmentation provides at least a tooth surface contour and a tooth label for one or more teeth of the first 3D model. A second 3D model image of the patient dentition is obtained. Each segmented tooth surface contour of the first 3D model is registered to corresponding tooth surface contour of the second 3D model. A second segmentation of the second 3D model image is obtained according to the registered tooth surface contour, wherein the second segmentation similarly provides at least tooth surface contour and a tooth labeling for one or more teeth of the second 3D model image. The segmented second 3D model image is displayed, transmitted, or stored.

Abstract: A method for displaying a superimposition of a second dental model on a first dental model of a patient's dentition, obtains a first 3D model of the patient's dentition and a segmentation of the first 3D model. A second 3D model of the patient's dentition and a segmentation of the second 3D model are obtained. A selected tooth is identified from the segmented teeth of the first and second 3D models. A post-treatment target position for the selected tooth of the first 3D model is determined according to a movement indication calculated for the selected tooth. The second 3D model is registered to the first 3D model based on the target position of the at least one selected tooth. An imposition of the second 3D model onto the first 3D model of the patient dentition is displayed.

Abstract: A method for registering a 3D mesh and a 3D volume image of a patients teeth obtains a 3D volume image of the patients teeth in an occlusion position, the 3D volume image containing at least one jaw portion. A contour surface is generated to form the 3D mesh corresponding to at least one of lingual and vestibular surfaces of the teeth from the 3D volume image. A registered mesh is provided in an occlusion position, the registered mesh having at least one of the vestibular and lingual surfaces. The registered mesh is registered with the generated contour surface content and displayed with the 3D volume image.

Abstract: A method for generating a dental arch map for a patient acquires a 3D surface image of patient dentition and automatically segments the 3D surface image to identify individual teeth. A mapping of outlines is formed for the identified teeth. The mapping is labeled according to a tooth numbering scheme and the labeled mapping is displayed.

Abstract: 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.

Abstract: Method for automatically assigning numeric labels to teeth in a dental arch map provides a segmented 3D surface image of patient dentition having identified individual teeth and determined tooth position in the dental arch. A tooth contour for the identified teeth is defined. The tooth type is identified as one of incisor, canine, premolar, or molar. A display of the tooth contour is labeled with an assigned tooth number according to the tooth position, tooth contour, and tooth type. The labeled mapping is displayed.

Abstract: Method and/or apparatus embodiments for 3-D cephalometric analysis of a patient according to the application can display reconstructed volume image data from a computed tomographic scan of a patient's head including segmented dentition elements having an initial arrangement from one or more 2D/3D views; can compute and display a plurality of cephalometric parameters for the patient according to the reconstructed volume image data; then use the patient specific cephalometric parameters and population biometry data, to identify one or more maxillofacial/dental abnormalities; and compose patient specific treatment plans to correct selected dentition abnormalities using maxillofacial/dental structure, which can be composed in a final tooth arrangement in a final virtual CT volume. One or more aligners can be generated to incrementally move dentition from the initial arrangement to the final tooth arrangement.

Abstract: A method for generating a dental arch map for a patient acquires a 3D surface image of patient dentition and automatically segments the 3D surface image to identify individual teeth. A mapping of outlines is formed for the identified teeth. The mapping is labeled according to a tooth numbering scheme and the labeled mapping is displayed.

Abstract: A method for generating a mapping of dental occlusion generates a three-dimensional model of the patient's teeth according to acquired image data. The maxillary and mandibular arches are positioned in opposition in the generated model of the patient's teeth and a meal model generated having characteristics of a foam material. A pressure field distribution for the generated meal model is calculated for one or more pairs of opposed teeth from the generated three-dimensional model of the patient's teeth. The calculated pressure field distribution can be displayed.

Abstract: Method and/or apparatus embodiments can provide a virtual orthodontic base, adapted to each virtual 3D dental model of the teeth (e.g., upper and lower jaw). The virtual orthodontic base should match each 3D model (e.g., size), conform to prescribed dimensional requirements and still be rapidly calculated. The 3D virtual teeth model can he provided or reconstructed (e.g., from a laser scanning, intra oral camera scanning or x-ray scan of a plaster, a negative impression (e.g., alginate or silicon) of a patient's dentition or directly from the patient's mouth).

Abstract: A method for generating a mapping of dental occlusion generates a three-dimensional model of the patient's teeth according to acquired image data. The maxillary and mandibular arches are positioned in opposition in the generated model of the patient's teeth and a meal model generated having characteristics of a foam material. A pressure field distribution for the generated meal model is calculated for one or more pairs of opposed teeth from the generated three-dimensional model of the patient's teeth. The calculated pressure field distribution can be displayed.

Abstract: A method for generating a mapping of dental occlusion generates a three-dimensional model of the patient's teeth (1a, 1b) according to acquired image data. The maxillary and mandibular arches are positioned in opposition in the generated model of the patient's teeth and a meal model (50) generated having characteristics of a foam material. A pressure field distribution for the generated meal model is calculated for one or more pairs of opposed teeth (1a, 1b) from the generated three-dimensional model of the patient's teeth. The calculated pressure field distribution (54) can be displayed.

Abstract: A method for generating a mapping of dental occlusion generates a three-dimensional model of the patient's teeth (la, according to acquired image data. The maxillary and mandibular arches are positioned in opposition in the generated model of the patient's teeth and a meal model (50) generated having characteristics of a foam material. A pressure field distribution for the generated meal model is calculated for one or more pairs of opposed teeth (1a, 1b) from the generated three-dimensional model of the patient's teeth. The calculated pressure field distribution (54) can be displayed.