A production method for test X-ray includes preparation (S10) of first CT data (B) of an inspection object, second CT data (BM) for metal portions of the inspection object, and third CT data (TM) for metal portions of a target object, transformation (S20) of the first, second, and third CT data (B, BM, TM) from the image space (BR) into corresponding first sinogram data (SB), second sinogram data (SBM), and third sinogram data (STM) in the radon space (RR), calculation (S30, S40) of the artifact sinogram data (SA), back-transformation (S50) of the artifact sinogram data (SA) from the radon space (RR) into the image space (BR) in CT artifact data (A) for the artifacts that are to be inserted, and insertion of the CT artifact data (A) into the first CT data (B).

Provided is a method and apparatus for metal artifact reduction in industrial three-dimensional (3D) cone beam computed tomography (CBCT) that may align computer-aided design (CAD) data to correspond to CT data, generate registration data from the aligned CAD data, set a sinogram surgery region corresponding to a metal region based on the registration data, perform an average fill-in process on the CT data based on the registration data, update data of the sinogram surgery region based on the averaged filled-in information, and reconstruct a 3D CT image from the updated sinogram data with surgery region.

Various methods and systems are provided for artifact reduction with resolution preservation. In one example, a method includes obtaining projection data of an imaging subject, identifying a metal-containing region in the projection data, interpolating the metal-containing region to generate interpolated projection data, extracting high frequency content information from the projection data in the metal-containing region, adding the extracted high frequency content information to the interpolated projection data to generate adjusted projection data, and reconstructing one or more diagnostic images from the adjusted projection data.

A method for determining image values in marked pixels of at least one projection image is provided. The at least one projection image is part of a projection image set provided for reconstruction of a three-dimensional image dataset and acquired in each case using a projection geometry in an acquisition procedure. The image values are determined through evaluation of at least one epipolar consistency condition that is to be at least approximately fulfilled, that results from the projection geometries of the different projection images of the projection image set, and that requires the agreement of two transformation values in transformation images determined from different projection images by Radon transform and subsequent derivation as a condition transformation.

Provided is a method and apparatus for metal artifact reduction in industrial three-dimensional (3D) cone beam computed tomography (CBCT) that may align computer-aided design (CAD) data to correspond to CT data, generate registration data from the aligned CAD data, set a sinogram surgery region corresponding to a metal region based on the registration data, perform an average fill-in process on the CT data based on the registration data, update data of the sinogram surgery region based on the averaged filled-in information, and reconstruct a 3D CT image from the updated sinogram data with surgery region.

Described is a system and/or method for displaying the location of a ferromagnetic object in a living organism by using a surgical probe. The surgical probe has a shaft with three-dimensional magnetoresistance sensors located on a distal end configured for insertion into the living organism and three-dimensional magnetoresistance sensors located on a proximal end that stays outside of the living organism. The system comprises a display configured to show the relative location of a detected ferromagnetic object to the tip of the probe in a simulated three-dimensional view on a two-dimensional display.

A method for artifact correction in computed tomography, the method comprising: (1) acquiring a plurality of data sets associated with different X-ray energies (i.e., D.sub.1, D.sub.2, D.sub.3 . . . D.sub.n); (2) generating a plurality of preliminary images from the different energy data sets acquired in Step (1) (i.e., I.sub.1, I.sub.2, I.sub.3 . . . I.sub.n); (3) using a mathematical function to operate on the preliminary images generated in Step (2) to identify the sources of the image artifact (i.e., the artifact source image, or ASI, where ASI=f(I.sub.1, I.sub.2, I.sub.3 . . . I.sub.n)); (4) forward projecting the ASI to produce ASD=fp(ASI); (5) selecting and combining the original data sets D.sub.1, D.sub.2, D.sub.3 . . . D.sub.n in order to produce a new subset of the data associated with the artifact, whereby to produce the artifact reduced data, or ARD, where ARD=f(ASD, D.sub.1, D.sub.2, D.sub.3 . . . D.sub.n); (6) generating a repaired data set (RpD) to keep low-energy data in artifact-free data and introduce high-energy data in regions impacted by the artifact, where RpD=f(ARD, D.sub.1, D.sub.2, D.sub.3 . . . D.sub.n); and (7) generating a final reduced artifact image (RAI) from the repaired data, RAI=bp(RpD), where the function bp is any function which generates an image from data.

A method for improving an image quality of X-ray tomograms includes generating a low-pass filtered X-ray tomogram by applying a low-pass filter to a two-dimensional X-ray tomogram. The low-pass filter is only applied to pixels with image values lying within a predetermined image value interval. A high-pass filtered X-ray tomogram is generated by subtracting the low-pass filtered X-ray tomogram from the two-dimensional X-ray tomogram. A Radon transform image is generated by calculating a Radon transform of the high-pass filtered X-ray tomogram. A modified Radon transform image is generated by modifying values of the pixels of the Radon transform image with values lying outside a predetermined value interval. A modified high-pass filtered X-ray tomogram is generated by calculating an inverse Radon transform of the modified Radon transform image. A modified X-ray tomogram is generated by the addition of the modified high-pass filtered X-ray tomogram to the low-pass filtered X-ray tomogram.

An improved system and method for the reduction of beam hardening artifacts in CT image reconstruction based on polyenergetic x-ray projection data and polyenergetic x-ray calibration data from a known calibration phantom.

The present disclosure is related to systems and methods for image processing. The method may include obtaining an image including at least one of a first type of artifact or a second type of artifact. The method may include determining, based on a trained machine learning model, at least one of first information associated with the first type of artifact or second information associated with the second type of artifact in the image. The trained machine learning model may include a first trained model and a second trained model. The first trained model may be configured to determine the first information. The second trained model may be configured to determine the second information. The method may include generating a target image based on at least part of the first information and the second information.