2018 | OriginalPaper | Chapter
Abstract: Deep Residual Learning for Limited Angle Artefact Correction
Authors : Alena-K. Schnurr, Khanlian Chung, Lothar R. Schad, Frank G. Zöllner
Published in: Bildverarbeitung für die Medizin 2018
Publisher: Springer Berlin Heidelberg
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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.