Abstract: A method for generating a virtual model of an object in a patient's anatomy. The method employs a surface scan of an anatomical region of the patient's oral cavity and a volumetric density scan of the anatomical region. The method includes receiving a first dataset of labeled surface scan segments, receiving a second dataset of labeled volumetric density scan segments, cross-mounting in a coordinate system, labeled surface scan segments from the first dataset to labeled volumetric density scan segments from the second dataset, receiving identification of the targeted extraction object, identifying the 3D volumetric density model and the 3D surface model associated with the volumetric density scan segment label, and generating a third dataset comprising and 3D model of a socket, a 3D model of portions of a tooth crown, a 3D model of portions of a target extraction tooth, and/or a 3D model of the extraction contour.

Abstract: A method for generating a virtual model of an object in a patient's anatomy. The method employs a surface scan of an anatomical region of the patient's oral cavity and a volumetric density scan of the anatomical region. The method includes receiving a first dataset of labeled surface scan segments, receiving a second dataset of labeled volumetric density scan segments, cross-mounting in a coordinate system, labeled surface scan segments from the first dataset to labeled volumetric density scan segments from the second dataset, receiving identification of the targeted extraction object, identifying the 3D volumetric density model and the 3D surface model associated with the volumetric density scan segment label, and generating a third dataset comprising and 3D model of a socket, a 3D model of portions of a tooth crown, a 3D model of portions of a target extraction tooth, and/or a 3D model of the extraction contour.

Abstract: A method for generating a virtual model of an object in a patient's anatomy. The method employs a surface scan of an anatomical region of the patient's oral cavity and a volumetric density scan of the anatomical region. The method includes receiving a first dataset of labeled surface scan segments, receiving a second dataset of labeled volumetric density scan segments, cross-mounting in a coordinate system, labeled surface scan segments from the first dataset to labeled volumetric density scan segments from the second dataset, receiving identification of the targeted extraction object, identifying the 3D volumetric density model and the 3D surface model associated with the volumetric density scan segment label, and generating a third dataset comprising and 3D model of a socket, a 3D model of portions of a tooth crown, a 3D model of portions of a target extraction tooth, and/or a 3D model of the extraction contour.

Abstract: A process for aligning at least two different digital scan data each representing at least a part of a dentition of a patient includes scanning the patient’s dentition so as to record volumetric 3-dimensional digital scan data in a volumetric coordinate system and scanning the patient’s dentition so as to record topographic 3-dimensional digital scan data in a topographic coordinate system. The teeth or jaws of the patient’s dentition are segmented and approximated from the digital scan data by grouping the digital scan data with respect to structures and approximating a surface of the segmented teeth using triangle meshes. A key point determination is performed for each tooth based on the triangle mesh representation to define 3-dimensional coordinates of a tooth surface feature in the volumetric or topographic coordinate system. The key points are aligned to obtain aligned digital scan data by coordinate transformation of one coordinate system.

Abstract: A process for manufacturing an orthodontic device includes scanning at least a part of a patient's dentition so as to record a volumetric 3-dimensional scan data, and segmenting the scan data so as to obtain individual teeth and/or jaws. A tooth main axis is determined for each tooth in order to obtain a two-dimensional key point representation of each tooth in the occlusal plane. An even order parametric polynomial curve is fit to approximate the dental arch. The even order polynomial curve is transformed into a spline representation. One or more 2-dimensional cuts through the volumetric 3-dimensional digital scan data is selected, wherein at least one size dimension of a tooth is determined from the 2-dimensional cut. An orthodontic device is manufactured, wherein at least one size dimension of the orthodontic device is a function of the size dimension of the tooth.