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Abstract: Deep Residual Learning for Limited Angle Artefact Correction

  • Alena-K. Schnurr
  • Khanlian Chung
  • Lothar R. Schad
  • Frank G. Zöllner
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Using non-conventional scan trajectories for Cone Beam (CB) imaging promise low dose interventions and radiation protection to the personal [1]. The here investigated circular tomosynthesis yields good image quality in two preferred directions, but introduces limited angle artefacts in the third. The artefacts become more severe, the smaller the half tomo angle α gets.

Literatur

  1. 1.
    Chung K, Karstensen L, Siegfarth M, et al. Investigation of scatter radiation of non-circular X-ray scan trajectories. In: Proc Int Conf 3D Image Reconstr Rad Nuc Med; 2017. p. 176–180.Google Scholar
  2. 2.
    Han Y, Yoo JJ, Ye JC. Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis. CoRR. 2016;abs/1611.06391.Google Scholar

Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  • Alena-K. Schnurr
    • 1
  • Khanlian Chung
    • 1
  • Lothar R. Schad
    • 1
  • Frank G. Zöllner
    • 1
  1. 1.Computer Assisted Clinical MedicineMedical Faculty Mannheim, Heidelberg UniversityHeidelbergDeutschland

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