A computer-implemented method and system of determining a material surface from a volumetric density file includes generating a density frequency distribution of a volumetric density file of a dental impression and determining an iso-value of density between air and a particular material in the density frequency distribution. A computer-implemented method and system of creating a digital model from a CT scan of a physical dental impression includes selecting an iso-value of density for a digital volumetric density file having one or more voxels, generating one or more digital surface points in virtual 3D space for each of one or more voxels, and selecting a subset of digital surface points from the one or more digital surface points. A computer-implemented method and system of optimizing a digital surface includes moving one or more digital surface points to satisfy a criteria of optimum digital surface selection.

A computer-implemented method and system of automatically detecting and removing extraneous material from a digital dental impression includes detecting one or more dental features in a digital dental impression, filtering the one or more dental features, digitally joining the one or more dental features, and determining one or more regions of interest from the joined one or more digital dental features.

A system and method includes determination of a region of interest of an imaging subject, generation of a first linear attenuation coefficient map of the imaging subject, the first linear attenuation coefficient map generated to associate voxels of the region of interest of the imaging subject with greater linear attenuation coefficients than voxels of other regions of the imaging subject, attenuation-correction of a plurality of tomographic frames of the imaging subject based on the first linear attenuation coefficient map to generate a second plurality of tomographic frames, and determination of tomographic inconsistency of the second plurality of tomographic frames. Some aspects further include generation of a second linear attenuation coefficient map of the imaging subject, attenuation-correction of the plurality of tomographic frames based on the second linear attenuation coefficient map to generate a third plurality of tomographic frames, and reconstruction of a three-dimensional image based on the third plurality of tomographic frames and the determined tomographic inconsistency.

Provided is a method of generating a virtual x-ray image, the method including: obtaining a 3-dimensional (3D) image of a patient; determining a projection direction of the 3D image in consideration of a position relationship between an x-ray source of an x-ray device and the patient; and generating a virtual x-ray image by projecting the 3D image on a 2D plane in the determined projection direction.

Provided is a medical imaging apparatus having an AR-visualization module operably coupled to a camera and to a position determination module, which is adapted to create an AR-image based on an image received from the camera and an AR-overlay positionally registered with the image, and which includes a display interface adapted to transmit the created AR-image to a medical display.

A two-dimensional image acquisition unit acquires a plurality of two-dimensional images generated from a three-dimensional image of a patient in a case where an observation target is viewed from a plurality of different viewpoints, and a surface data acquisition unit acquires surface data of each of a plurality of structures on the patient from the three-dimensional image. A composite image generation unit generates a composite image in which a composite target image generated from the surface data and the two-dimensional image are composed, and a display switching control unit receives an operation of displaying or non-displaying any of the structures and performs display by switching between the composite image of the composite target image and the two-dimensional image corresponding to the structure to be displayed and the two-dimensional image of the structure to be non-displayed.

In one embodiment, a medical system includes a catheter including electrodes, and configured to be inserted into a chamber of a heart and maneuvered among sampling sites to sample electrical activity, a display, and processing circuitry to receive signals provided by the catheter, and compute, for each sampling site, a sampling position of the catheter and respective electrode positions of the catheter electrodes, render to the display a 3D representation of the chamber including respective sampling-site markers indicating the computed sampling position of the catheter at respective ones of the sampling sites, receive a user input selecting one sampling-site marker, and update the 3D representation to include electrode markers indicating the respective electrode positions of the respective catheter electrodes while the catheter was sampling the electrical activity of the tissue at the sampling site corresponding to the selected sampling-site marker.

The present disclosure directs to a method for image processing. The method may include obtaining scanning data of a spine of a subject, determining one or more centrum parameters of each of a plurality of centrums of the spine based on the scanning data, and identifying at least one intervertebral disc based on the one or more centrum parameters.

Each of the at least one intervertebral disc may be between a pair of neighboring centrums of the plurality of centrums. The method may include determining an intervertebral disc reconstruction protocol of each of the at least one intervertebral disc, determining a target intervertebral disc of the at least one intervertebral disc, and reconstructing one or more images of the target intervertebral disc based on an intervertebral disc reconstruction protocol of the target intervertebral disc. The intervertebral disc reconstruction protocols may relate to MPR.

Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

Systems and methods for breast x-ray tomosynthesis that enhance spatial resolution in the direction in which the breast is flattened for examination. In addition to x-ray data acquisition of 2D projection tomosynthesis images ETp1 over a shorter source trajectory similar to known breast tomosynthesis, supplemental 2D images ETp2 are taken over a longer source trajectory and the two sets of projection images are processed into breast slice images ETr that exhibit enhanced spatial resolution, including in the thickness direction of the breast. Additional features include breast CT of an upright patient's flattened breast, multi-mode tomosynthesis, and shielding the patient from moving equipment.