Paper
31 January 2020 Iterative tomography reconstruction in a limited field of view
Author Affiliations +
Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114331W (2020) https://doi.org/10.1117/12.2557501
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands
Abstract
In this work, we propose a method for tomography reconstruction in case of a limited field of view, when the whole image of the investigated sample does not fit on the detector. Proposed technique based on iterative procedure with corrections on each step in sinogram space and reconstruction space. On synthetic and experimental data shown, that proposed technique allows to improve tomography reconstruction quality and extends the field of view.
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Alexey Buzmakov, Denis Zolotov, Marina Chukalina, Anastasia Ingacheva, Alexander Sheshkus, and Victor Asadchikov "Iterative tomography reconstruction in a limited field of view", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114331W (31 January 2020); https://doi.org/10.1117/12.2557501
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KEYWORDS
Reconstruction algorithms

Tomography

Sensors

Detection and tracking algorithms

X-rays

Algorithm development

Iterative methods

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