Adaptive image content-based exposure control for scanning applications in radiography

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3028817 20 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Adaptive image content-based exposure control for scanning applications in radiography
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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.
Έτος δημοσίευσης:
2007
Συγγραφείς:
Schulerud, H.
Thielemann, J.
Kirkhus, T.
Kaspersen, K.
Østby, J.M.
Metaxas, M.G.
Royle, G.J.
Griffiths, J.
Cook, E.
Esbrand, C.
Pani, S.
Venanzi, C.
Van Der Stelt, P.F.
Gang, L.
Turchetta, R.
Fant, A.
Theodoridis, S.
Georgiou, H.
Hall, G.
Noy, M.
Jones, J.
Leaver, J.
Triantis, F.
Asimidis, A.
Manthos, N.
Longo, R.
Bergamaschi, A.
Speller, R.D.
Περιοδικό:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Εκδότης:
Springer-Verlag
Τόμος:
4678 LNCS
Σελίδες:
543-552
Λέξεις-κλειδιά:
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
Επίσημο URL (Εκδότης):
DOI:
10.1007/978-3-540-74607-2_49
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