Fast iterative algorithm for superresolving computed tomography with missing data

摘要

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.