Abstract: A method for removing artifacts from an image reconstructed from scanner data according to embodiments includes: performing a forward projection p to update an estimated object image; determining a transfer function f? that represents the effect of scatter and beam hardening; modifying the forward projection p using the transfer function f? to provide a modified forward projection p?; and performing an iterative image reconstruction process using the modified forward projection p? to generate a reconstructed image.

Abstract: A system, method and program product for enhancing radiographic images. A disclosed method includes: determining a sensitivity function of a computed radiography (CR) plate from at least one blank plate image, wherein the sensitivity function is a measure of noise caused by a phosphor grain pattern in the CR plate; inputting a specimen image captured using the CR plate; generating a blank plate-to-specimen (B2S) alignment map that provides a correspondence between pixel locations in the sensitivity function and the specimen image; applying a sensitivity function correction algorithm to the specimen image based on the B2S alignment map, wherein the sensitivity function correction algorithm is derived from the sensitivity function; and outputting an enhanced specimen image. A second disclosed method includes merging independent images of the same specimen to reduce noise. A third disclosed method includes a deconvolution algorithm for improving spatial resolving power.

Abstract: Disclosed is a method, program product, and computer system that provides iterative computed tomography (CT) image reconstruction. The approach produces an image whose resolving power exceeds that of conventional algorithms, and utilizes an inner and out iterative loop, configured by ordered subsets criteria, to perform: projecting a reconstructed image; resampling a resulting calculated projection, thereby enabling super-resolution; calculating a comparison quantity with the collected projection array (e.g., sinogram); backprojecting onto a correction array a function that utilizes the comparison quantity; and generating a new reconstructed image with an operation involving the correction array.