A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network
R Cierniak - International Conference on Artificial Intelligence and …, 2008 - Springer
International Conference on Artificial Intelligence and Soft Computing, 2008•Springer
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.
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.
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.
Springer
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