Deep residual learning for limited angle artefact correction

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Abstract

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.

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APA

Schnurr, A. K., Chung, K., Schad, L. R., & Zöllner, F. G. (2018). Deep residual learning for limited angle artefact correction. In Informatik aktuell (Vol. 0, p. 280). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-662-56537-7_72

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