In this project, we aim to develop a method for region of interest (ROI) computed tomography (CT) reconstruction. In X-ray CT, the images of slices of an object are reconstructed from a set of X-ray images of the object taken from different angles. This technique has found applications in a broad range of areas including materials science engineering, archaeology, biology, and medicine. Especially in biomedical applications, the user is often interested only in a small ROI inside a larger volume, however, it is non-trivial in CT to reconstruct anything but the entire field of view because objects outside the ROI cause artifacts in the ROI reconstruction. We want to explore ways of creating a high-resolution reconstruction of an ROI by using a low-resolution full field of view reconstruction to correct for these artifacts.