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.
Chapter PDF
Literatur
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.
Han Y, Yoo JJ, Ye JC. Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis. CoRR. 2016;abs/1611.06391.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
Schnurr, AK., Chung, K., Schad, L.R., Zöllner, F.G. (2018). Abstract: Deep Residual Learning for Limited Angle Artefact Correction. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_72
Download citation
DOI: https://doi.org/10.1007/978-3-662-56537-7_72
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-56536-0
Online ISBN: 978-3-662-56537-7
eBook Packages: Computer Science and Engineering (German Language)