Author(s)

V. Roberto, G. Contented, C. Delia Giusta & O. Varin

Abstract

Knowledge-based quality control in radiology V. Roberto*, G. Contented, C. Delia Giusta\ O. Varin^ ^Department of Mathematics and Informatics, University ofUdine, ^Hospital S. Maria della Misericordia, Udine, Italy 1 Introduction and Motivations This paper concerns a research project aimed at automating Quality Control (QC) procedures in Diagnostic Radiology by means of a knowledge-based approach. The ultimate goal of a radiological process is generating images containing information critical to the solution of a given clinical problem. Many factors, both human and equipment related, influence the final diag- nostic outcome and the patient exposure to X-rays. An essential prerequisite is that equipment functions properly: to this purpose QC tests are carried out at prescribed intervals in order to detect equipment malfunctions, so as to permit corrective actions before significant deterioration of the image quality occurs. Altogether, in the radiological process human activities and

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