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: 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: 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 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.