• DocumentCode
    3300918
  • Title

    Geometric averaging of X-ray signals in automatic exposure control

  • Author

    Snoeren, Rudolph M. ; De With, Peter H N

  • Author_Institution
    Univ. of Technol. Eindhoven, Eindhoven, Netherlands
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3525
  • Lastpage
    3528
  • Abstract
    Improper dose control in X-ray cardio-vascular systems leads to a reduced Signal-to-Noise Ratio (SNR) in regions of interest of the X-ray image. We aim at reducing the influence of direct radiation, entering a measuring field for X-ray dose control in a Flat Detector which gives too bright areas (highlights) in the image. It is our desire to use a norm-like signal size that represents a minimal dose value while maximizing information transfer and thus image quality. In a dose control system, it is common practice to employ a special averaging technique for computing a representative signal level controlling the X-ray. We have found that the geometric averaging outperforms the existing techniques and significantly improves the image quality. Our approach reduces the highlight influence and guarantees an adequate Contrast-to-Noise ratio for decentered objects. We provide convincing experimental results showing a strongly improved image quality with respect to contrast and detail.
  • Keywords
    X-ray imaging; cardiovascular system; geometry; medical image processing; X-ray cardio-vascular systems; X-ray dose control; X-ray image; X-ray signals; automatic exposure control; flat detector; geometric averaging; image quality; signal-to-noise ratio; Control systems; Detectors; Image quality; Signal to noise ratio; Three dimensional displays; X-ray imaging; X-ray; cone beam CT; dose control; image quality; signal size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5649590
  • Filename
    5649590