A New Approach to Image Reconstruction from Projections Using a Recurrent Neural Network

Authors:
Robert Cierniak
Affiliations:
Department of Computer Engineering, Technical University of Czestochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland
Venue:
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
Year:
2008

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Abstract

A new neural network approach to image reconstruction from projections considering the parallel geometry of the scanner is presented. To solve this key problem in computed tomography, a special recurrent neural network is proposed. The reconstruction process is performed during the minimization of the energy function in this network. The performed computer simulations show that the neural network reconstruction algorithm designed to work in this way outperforms conventional methods in the obtained image quality.