Noise properties of the chord-based algorithms for reduced scans

Progress in developing CT image reconstruction algorithms has been rapid in recent years. Some algorithms have been proposed to reconstruct exact ROI images from data that are less than the short scan data. These algorithms allow a reduction of the scanning effort and the radiation dose delivered to the patient. It is important to investigate the noise properties within reconstructed ROI images by use of these new algorithms because they are directly related to the accuracy of disease diagnosis. In this work, we study the noise properties of three reduced scan algorithms: BPF, MDFBP, and FBP.