A 2D approach to tomographic image reconstruction using a Hopfield-type neural network.

Artif Intell Med

Technical University of Czestochowa, Department of Computer Engineering, Armii Krajowej Avenue 36, Pl.-42-200 Czestochowa, Silesia, Poland.

Published: June 2008

Objective: In this paper a new approach to tomographic image reconstruction from projections is developed and investigated.

Method: To solve the reconstruction problem a special neural network which resembles a Hopfield net is proposed. The reconstruction process is performed during the minimizing of the energy function in this network. To improve the performance of the reconstruction process an entropy term is incorporated into energy expression.

Result And Conclusion: The approach presented in this paper significantly decreases the complexity of the reconstruction problem.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.artmed.2008.03.003DOI Listing

Publication Analysis

Top Keywords

approach tomographic
8
tomographic image
8
image reconstruction
8
neural network
8
reconstruction problem
8
reconstruction process
8
reconstruction
6
reconstruction hopfield-type
4
hopfield-type neural
4
network objective
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!