Radon transform: Image reconstruction and identification of noise and instrumental artifacts

Mario D'Acunto, Antonio Benassi, Davide Moroni, Ovidio Salvetti

Abstract: Computed Tomography as well as Magnetic Resonance or Positron Electron Tomography are currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon Transform (RT). In this paper, an algorithm including correction of noise and of some instrumental artifacts directly from the RT sinograms is presented. The innovative contribution of our algorithm is based on the fact that it is not necessary a priori information on instrumental artifacts or noise sources. In addition, the algorithm can be applied to any RT-based medical imaging technologies.