A Novel Approach to Image Reconstruction from Discrete Projections Using Hopfield-Type Neural Network

  • Robert Cierniak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


Presented paper shows a novel approach to the problem of image reconstruction from projections using recursive Hopfield-type neural network. The reconstruction process is performed during the minimizing of the energy function in this network. Our method is of a great practical use in reconstruction from discrete parallel beam projections. Experimental results show that the appropriately designed neural network is able to reconstruct an image with better quality than obtained from conventional algorithms.


Neural Network Interpolation Function Reconstruction Process Algebraic Reconstruction Technique Image Reconstruction Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Robert Cierniak
    • 1
  1. 1.Departament of Computer EngineeringTechnical University of CzestochowaCzestochowaPoland

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