Separate CT-Reconstruction for Orientation and Position Adaptive Wavelet Denoising

  • Anja Borsdorf
  • Rainer Raupach
  • Joachim Hornegger
Conference paper

DOI: 10.1007/978-3-540-71091-2_47

Part of the Informatik aktuell book series (INFORMAT)
Cite this paper as:
Borsdorf A., Raupach R., Hornegger J. (2007) Separate CT-Reconstruction for Orientation and Position Adaptive Wavelet Denoising. In: Horsch A., Deserno T.M., Handels H., Meinzer HP., Tolxdorff T. (eds) Bildverarbeitung für die Medizin 2007. Informatik aktuell. Springer, Berlin, Heidelberg

Abstract

The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. For a reliable diagnosis and subsequent image processing, like segmentation, the ratio between relevant tissue contrasts and the noise amplitude must be sufficiently large. By separate reconstruction from even and odd numbered projections, two images can be computed, which only differ with respect to noise. We show that these images allow an orientation and position adaptive noise estimation for level-dependent threshold determination in the wavelet domain.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Anja Borsdorf
    • 1
    • 2
  • Rainer Raupach
    • 2
  • Joachim Hornegger
    • 1
  1. 1.Pattern RecognitionFriedrich-Alexander-University Erlangen-NurembergGermany
  2. 2.Siemens Medical SolutionsForchheim

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