Abstract
This paper presents a novel approach to the problem of image reconstruction from projections using recurrent neural network. The reconstruction process is performed during the minimizing of the energy function in this network. Our method is of a great practical use in reconstruction from discrete fan-beam projections. Experimental results show that the appropriately designed neural network is able to reconstruct an image with better quality than obtained from conventional algorithms.
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Cierniak, R. (2008). A Novel Approach to Image Reconstruction Problem from Fan-Beam Projections Using Recurrent Neural Network. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_72
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DOI: https://doi.org/10.1007/978-3-540-69731-2_72
Publisher Name: Springer, Berlin, Heidelberg
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