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

Authors
  • H. Schulerud
  • J. Thielemann
  • T. Kirkhus
  • K. Kaspersen
  • J.M. Østby
  • M.G. Metaxas
  • G.J. Royle
  • J. Griffiths
  • E. Cook
  • C. Esbrand
  • S. Pani
  • C. Venanzi
  • P.F. van der Stelt
  • G. Li
  • R. Turchetta
  • A. Fant
  • S. Theodoridis
  • H. Georgiou
  • G. Hall
  • M. Noy
  • J. Jones
  • J. Leaver
  • F. Triantis
  • A. Asimidis
  • N. Manthos
  • R. Longo
  • A. Bergamaschi
  • R.D. Speller
Publication date 2007
Host editors
  • J. Blanc-Talon
  • W. Philips
  • D. Popescu
  • P. Scheunders
Book title Advanced Concepts for Intelligent Vision Systems
Book subtitle 9th International Conference, ACIVS 2007, Delft, The Netherlands, August 28-31, 2007 : pProceedings
ISBN
  • 9783540746065
ISBN (electronic)
  • 9783540746072
Series Lecture Notes in Computer Science
Event Advanced concepts for intelligent vision systems, 9th International Conference, ACIVS 2007
Pages (from-to) 543-552
Publisher Berlin: Springer
Organisations
  • Faculty of Dentistry (ACTA)
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-540-74607-2_49
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