A three-dimentional neural network based approach to the image reconstruction from projections problem

Authors:
Robert Cierniak
Affiliations:
Technical University of Czestochowa, Departament of Computer Engineering, Czestochowa, Poland
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Year:
2010

Citing 7
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Abstract

This paper presents a novel neural network approach to the problem of image reconstruction from projections obtained by spiral tomography scanner. The reconstruction process is performed during the minimizing of the energy function in recurrent neural network. Our method is of a great practical use in reconstruction from discrete cone-beam projections. Experimental results show that the appropriately designed neural network is able to reconstruct an image with better quality than obtained from used commercial conventional algorithms.