Tomographic reconstruction with a generative adversarial network

This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The algorithm uses a generative adversarial network (GAN) to solve the inverse of the Radon transform directly. It works for independent sinograms without additional training steps. The GAN has been developed to f...

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Sparad:
Bibliografiska uppgifter
I publikationen:J Synchrotron Radiat
Huvudupphovsmän: Yang, Xiaogang, Kahnt, Maik, Brückner, Dennis, Schropp, Andreas, Fam, Yakub, Becher, Johannes, Grunwaldt, Jan-Dierk, Sheppard, Thomas L., Schroer, Christian G.
Materialtyp: Artigo
Språk:Inglês
Publicerad: International Union of Crystallography 2020
Ämnen:
Research Papers
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7064113/
https://ncbi.nlm.nih.gov/pubmed/32153289
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S1600577520000831
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