@article{3028817,
    title = "Adaptive image content-based exposure control for scanning applications in radiography",
    author = "Schulerud, H. and Thielemann, J. and Kirkhus, T. and Kaspersen, K. and Østby, J.M. and Metaxas, M.G. and Royle, G.J. and Griffiths, J. and Cook, E. and Esbrand, C. and Pani, S. and Venanzi, C. and Van Der Stelt, P.F. and Gang, L. and Turchetta, R. and Fant, A. and Theodoridis, S. and Georgiou, H. and Hall, G. and Noy, M. and Jones, J. and Leaver, J. and Triantis, F. and Asimidis, A. and Manthos, N. and Longo, R. and Bergamaschi, A. and Speller, R.D.",
    journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    year = "2007",
    volume = "4678 LNCS",
    pages = "543-552",
    publisher = "Springer-Verlag",
    doi = "10.1007/978-3-540-74607-2_49",
    keywords = "Control systems;  Image acquisition;  Image quality;  Imaging systems;  Intelligent systems;  Mammography;  Radiography;  Real time systems, Encephalographic images;  Image correction;  Real-time image analysis;  X-ray imaging system, Adaptive systems",
    abstract = "I-ImaS (Intelligent Imaging Sensors) is a European project which has designed and developed a new adaptive X-ray imaging system using on-line exposure control, to create locally optimized images. The I-ImaS system allows for real-time image analysis during acquisition, thus enabling real-time exposure adjustment. This adaptive imaging system has the potential of creating images with optimal information within a given dose constraint and to acquire optimally exposed images of objects with variable density during one scan. In this paper we present the control system and results from initial tests on mammographic and encephalographic images. Furthermore, algorithms for visualization of the resulting images, consisting of unevenly exposed image regions, are developed and tested. The preliminary results show that the same image quality can be achieved at 30-70% lower dose using the I-ImaS system compared to conventional mammography systems. © Springer-Verlag Berlin Heidelberg 2007."
}