A statistical appraoch to image reconstruction from projections problem using recurrent neural network

Authors:
Robert Cierniak
Affiliations:
Czestochowa University of Technology, Institute of Computer Engineering, Czestochowa, Poland
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Year:
2010

Citing 2
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A neuronal approach to the statistical image reconstruction from projections problem

ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I

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Abstract

This paper is concerned with the image reconstruction from projections problem. The presented paper describes a reconstruction approach based on recurrent neural network. The structure of this network is designed taking into account the probabilistic nature of distortion obesrved in x-ray computed tomography. The reconstruction process is performed using in this way constructed neural network solving the optimization problem. Computer experiments show that the appropriately designed recurrent neural network is able to reconstruct an image with better quality in comparison to the standart analytical reconstruction algorithm.