Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study

Abstract. Although Computed Tomography (CT) is a mature discipline, the development of techniques that will further reduce radiation dose are still essential. This paper makes steps towards projection and reconstruction methods which aim to assist in the reduction of this dosage, by studying the way noise propagates from projection space to image space. Inference methods Maximum Likelihood Estimation (MLE), Akaike’s Information Criterion (AIC) and Minimum Message Length (MML) are used to obtain accurate models obtained from minimal data.

• Type: Conference
• Year: 2007
• Where: AUSAI
• Authors: A. P. Dalgleish, David L. Dowe, Imants D. Svalbe
• Keywords: Artificial Intelligence, AUSAI 2007, Methods Maximum Likelihood, Paper Makes Steps, Way Noise Propagates