Abstract: A method of reconstructing an extended FOV image of an imaging volume of a gantry of an X-ray imaging system includes: generating first projected and interpolated padding data for a first image of a central region of the imaging volume based on a first image of an annulus region of the imaging volume surrounding the central region; generating a first extended image of the central region based on the first projected and interpolated padding data; generating a second projected and interpolated padding data for the first image of the annulus region based on the first image of the central region; generating a first extended image of the annulus region based on the second projected and interpolated padding data; and performing back projection to reconstruct the extended field-of-view image based on the first and extended images of the central and annulus regions.

Abstract: A method of operating an image apparatus and the imaging apparatus. The method operable to acquire image data of an object with a detector in a selected orientation. The method further operable to acquire image data at an effective detector larger than a physical detector. The image apparatus configured carry out the method.

Abstract: A method of reconstructing an extended FOV image of an imaging volume of a gantry of an X-ray imaging system includes: generating first projected and interpolated padding data for a first image of a central region of the imaging volume based on a first image of an annulus region of the imaging volume surrounding the central region; generating a first extended image of the central region based on the first projected and interpolated padding data; generating a second projected and interpolated padding data for the first image of the annulus region based on the first image of the central region; generating a first extended image of the annulus region based on the second projected and interpolated padding data; and performing back projection to reconstruct the extended field-of-view image based on the first and extended images of the central and annulus regions.

Abstract: A method of training a neural network is described that includes receiving an image of an anatomical portion of a subject, receiving a CAD model of a surgical implant, generating a first simulated image based on the image and the CAD model, the first simulated image depicting the surgical implant and the anatomical portion of the subject, modifying the simulated image to include simulated artifacts from metal, beam hardening, and scatter, to yield a second simulated image corresponding to the first simulated image, and providing the second simulated image to a neural network as an example input and the first simulated image to the neural network as an example output.

Abstract: A low-dose imaging method includes receiving a sparse image set of a portion of a patient's anatomy; up-sampling the sparse image set, in the sinogram domain and using a first neural network, to yield an up-sampled sinogram; generating, from the up-sampled sinogram, an initial reconstruction; and removing, from the initial reconstruction and using a second neural network, one or more artifacts in the initial reconstruction to yield a final output volume.

Abstract: A low-dose imaging method includes receiving a sparse image set of a portion of a patient's anatomy; up-sampling the sparse image set, in the sinogram domain and using a first neural network, to yield an up-sampled sinogram; generating, from the up-sampled sinogram, an initial reconstruction; and removing, from the initial reconstruction and using a second neural network, one or more artifacts in the initial reconstruction to yield a final output volume.