Abstract: A computer-implemented method of processing a digital dental impression includes determining one or more first digital surface regions visible from a first side of the digital dental impression along an occlusion axis and one or more second digital surface regions visible from a second side of the digital dental impression along the occlusion axis, segmenting the digital dental impression into one or more digital segments and determining the one or more digital segments as a first digital segment or a second digital segment based on the majority of digital surface regions in the one or more digital segments.

Abstract: A computer-implemented method and system of CT reconstruction can include receiving one or more CT projection images; performing smooth filtering on the one or more CT projection images to generate one or more smooth boundary filtered images; and back-projecting the one or more smooth boundary filtered images.

Abstract: A system and method of processing a CT scan includes receiving a plurality of radiographs and determining an axis of rotation per scan from the plurality of radiographs prior to CT reconstruction.

Abstract: A method and system provide segmenting a digital tooth in a 3D digital model of dentition.

Abstract: Computer-implemented method and system automatically detects an out-of-view CT scan by receiving a voxel density file, determining a threshold iso-value of density between air density and a material density of one or more scanned objects in the voxel density file, and evaluating, using the threshold iso-value of density, one or more horizontal slices of the voxel density file to determine whether at least a portion of the one or more scanned objects is out of view.

Abstract: A computer-implemented method for modeling a complete tooth of a patient to facilitate dental and/or orthodontic treatment. The method includes generating a first set of digital data representing a clinical crown; generating a second set of digital data representing a plurality of digital tooth models of a particular tooth type each having a first parameterization; processing the second set of digital data to obtain a third set of digital data representing an average tooth model of the particular tooth type having a second parameterization which is less than the first parameterization; fitting the third set of digital data to the first set of digital data to create a set of digital data representing an interim tooth model; and morphing the set of digital data representing the interim tooth model to substantially mimic the anatomical shape of the clinical crown of the first set of digital data.

Abstract: A computer-implemented method and system compresses CT reconstruction images and can include: receiving a volumetric density file including one or more voxels; replacing one or more voxel density values below an air density value with the air density value; replacing one or more voxel density values above a material density value with the material density value; determining one or more voxels of interest; replacing one or more non-interesting voxel density values below a material surface density with the air density value; replacing one or more non-interesting voxel density values above the material surface density with the material density value; quantizing all voxels to provide a reduced volume image; and compressing the reduced volume image to provide a compressed volume image.

Abstract: Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Abstract: A computer-implemented method and system of CT reconstruction can include receiving one or more CT projection images; performing smooth filtering on the one or more CT projection images to generate one or more smooth boundary filtered images; and back-projecting the one or more smooth boundary filtered images.

Abstract: A computer-implemented method and system of digitally segmenting teeth in a digital model comprises generating a panoramic image from a 3D digital model of a patient's dentition, labeling, using a first trained neural network, the panoramic image to provide a labeled panoramic image, mapping the labeled panoramic image to corresponding coarse digital surface triangle labels in the 3D digital model to provide a labeled 3D digital model, and segmenting the labeled 3D digital model to provide a segmented 3D digital model. A computer-implemented method and system of generating a panoramic image comprises determining, using a trained neural network, digital tooth bounding region(s) corresponding to digital teeth from a 2D depth map of a patient's dentition, connecting digital tooth bounding region(s) by a spline, determining sampled digital surface points from the sampled spline points; and determining associated digital surface points corresponding to each sampled digital surface point.

Abstract: A computer-implemented method of processing a digital dental impression includes determining one or more first digital surface regions visible from a first side of the digital dental impression along an occlusion axis and one or more second digital surface regions visible from a second side of the digital dental impression along the occlusion axis, segmenting the digital dental impression into one or more digital segments and determining the one or more digital segments as a first digital segment or a second digital segment based on the majority of digital surface regions in the one or more digital segments.

Abstract: A computer-implemented method, system, and instructions can include receiving a reconstructed volume of an object; determining an air density and a material density from the reconstructed volume of the object; subdividing the reconstructed volume into one or more blocks, each block comprising one or more voxels; determining one or more contrast blocks within the reconstructed volume; and determining a reconstruction quality based on the number of contrast blocks in the reconstructed volume.

Abstract: Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

Abstract: A computer-implemented method and system compresses CT reconstruction images and can include: receiving a volumetric density file including one or more voxels; replacing one or more voxel density values below an air density value with the air density value; replacing one or more voxel density values above a material density value with the material density value; determining one or more voxels of interest; replacing one or more non-interesting voxel density values below a material surface density with the air density value; replacing one or more non-interesting voxel density values above the material surface density with the material density value; quantizing all voxels to provide a reduced volume image; and compressing the reduced volume image to provide a compressed volume image.

Abstract: A computer-implemented method for modeling a complete tooth of a patient to facilitate dental and/or orthodontic treatment. The method includes generating a first set of digital data representing a clinical crown; generating a second set of digital data representing a plurality of digital tooth models of a particular tooth type each having a first parameterization; processing the second set of digital data to obtain a third set of digital data representing an average tooth model of the particular tooth type having a second parameterization which is less than the first parameterization; fitting the third set of digital data to the first set of digital data to create a set of digital data representing an interim tooth model; and morphing the set of digital data representing the interim tooth model to substantially mimic the anatomical shape of the clinical crown of the first set of digital data.

Abstract: A computer-implemented method, system, and instructions can include receiving a reconstructed volume of an object; determining an air density and a material density from the reconstructed volume of the object; subdividing the reconstructed volume into one or more blocks, each block comprising one or more voxels; determining one or more contrast blocks within the reconstructed volume; and determining a reconstruction quality based on the number of contrast blocks in the reconstructed volume.

Abstract: A computer-implemented method of automatically determining photon-count to penetrated depth function for a CT reconstruction includes performing one or more test CT reconstructions on one or more radiographs, each test CT reconstruction using a test transfer function, to provide one more test reconstructions and determining a final transfer function from the one or more test reconstructions.

Abstract: A computer-implemented method/system of determining a trim-line includes receiving a 3D digital dental model; combining the one or more virtual teeth; determining a distance field; determining a first iso-line; determining a back distance field; determining a second iso-line to generate a trim-line. A computer-implemented method/system of segmenting the 3D digital dental model includes receiving a 3D digital dental model; determining an initial virtual tooth location of one or more virtual teeth; constructing a virtual crown line; determining a long axis of one or more virtual teeth; constructing a virtual root line; determining a virtual tooth virtual bounding box; performing an initial segmentation; performing final segmentation.

Abstract: A system and method can determine one or more CT scanner calibration parameters from a plurality of calibration object projections in a plurality of radiographs.

Abstract: Computer-implemented method and system automatically detects an out-of-view CT scan by receiving a voxel density file, determining a threshold iso-value of density between air density and a material density of one or more scanned objects in the voxel density file, and evaluating, using the threshold iso-value of density, one or more horizontal slices of the voxel density file to determine whether at least a portion of the one or more scanned objects is out of view.