A neuronal approach to the statistical image reconstruction from projections problem

Authors:
Robert Cierniak;Anna Lorent
Affiliations:
Institute of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;Institute of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Year:
2012

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Abstract

The image reconstruction from projections problem is still the primary challenge for designers of the computed tomography devices. The presented paper describes a new approach to the reconstruction problem, which takes into consideration the statistical conditions of the signals measured in real tomographic scanners. The reconstruction problem is reformulated to the optimization problem. The new form of optimization loss function is proposed. The optimization process is performed using a recurrent neural network. Experimental results show that the appropriately designed neural network is able to reconstruct an image with better quality than obtained from conventional algorithms.