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RADIUS--closing the circle on the assessment of imaging performance.

Journal article
Authors B M Moores
S Mattsson
Lars Gunnar Månsson
W Panzer
D Regulla
D Dance
G Alm Carlsson
F R Verdun
E Buhr
C Hoeschen
Published in Radiation protection dosimetry
Volume 114
Issue 1-3
Pages 450-7
ISSN 0144-8420
Publication year 2005
Published at Institute of Selected Clinical Sciences, Department of Radiation Physics
Pages 450-7
Language en
Links dx.doi.org/10.1093/rpd/nch515
Keywords Algorithms, Artifacts, Computers, Europe, False Negative Reactions, False Positive Reactions, Humans, Image Processing, Computer-Assisted, Monte Carlo Method, ROC Curve, Radiographic Image Enhancement, methods, Radiographic Image Interpretation, Computer-Assisted, methods, standards, Software, Technology, Radiologic, X-Rays
Subject categories Medical and Health Sciences

Abstract

The RADIUS (Radiological Imaging Unification Strategy) project addresses the assessment of image quality in terms of both physical and clinically relevant measures. The aim is to unify our understanding of both types of measure as well as the numerous underlying factors that play a key role in the assessments of imaging performance. In this way it is expected to provide a solid basis for the improvement in radiological safety management, where not only radiation risks are considered but also diagnostic risks of incorrect clinical outcomes (i.e. false positive/false negative). The project has applied a variety of relevant experimental and theoretical methods to this problem, which is generic to medical imaging as a whole. Digital radiography of the chest and the breast has been employed as the clinical imaging domain vehicles for the study. The project addressed the problem from the following directions: role and relevance of pathology, human observer studies including receiver operating characteristics, image quality criteria analysis, structural noise analysis, physical measurements on clinical images, physical measurements on imaging system, modelling of imaging system, modelling of visual processes, modelling of doses delivered and IT-based scientific support strategies. This paper presents an overview of the main outcomes from this project and highlights how the research outcomes actually apply to the real world. In particular, attention will be focused on new and original findings and methods and techniques that have been developed within the framework of the project. The relevance of the project's outcomes to future European research will also be presented.

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