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 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, 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 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, 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 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.

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.

Abstract: A computer-implemented method and system performs segmentation on at least a portion of the digital jaw to provide one or more digital surface segments, determines a digital tooth center for at least one digital tooth in the digital jaw, determines a digital tooth area around the digital tooth center, deletes one or more surface segments not intersecting with the digital tooth area; and smooths a mesh boundary.

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 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 and system of determining a bite setting include receiving first and second digital jaw models, determining a rough bite approximation of the first and second digital jaw models, determining one or more initial bite positions of the first and second digital jaw models from the rough approximation, determining one or more iterative bite positions of the first and second digital jaw models for each of the one or more initial bite positions, determining a score for each iterative bite position, and outputting the bite setting based on the score.

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