Preliminary studies of discrete tomography in neutron imaging

Discrete tomography (DT) is a new technique to reconstruct discrete images from their projections (like neutron images). The reconstruction methods in DT are different from the conventional ones, because the created images may contain only a few numbers of given discrete values. One of the main reas...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 2005-02, Vol.52 (1), p.380-385
Main Authors: Kuba, A., Rusko, L., Rodek, L., Kiss, Z.
Format: Article
Language:English
Subjects:
Computer programs
Discrete tomography
Image reconstruction
Imaging
Imaging phantoms
Medical imaging
neutron imaging
Neutrons
Noise level
Noise levels
Optimization methods
Projection
Reconstruction
Reconstruction algorithms
Software
Software systems
Software testing
Studies
System testing
Tomography
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Summary:Discrete tomography (DT) is a new technique to reconstruct discrete images from their projections (like neutron images). The reconstruction methods in DT are different from the conventional ones, because the created images may contain only a few numbers of given discrete values. One of the main reasons to apply DT is that hopefully we need only a few numbers of projections. In many applications we have a situation where we know the material components of the object to be studied, that is, we know the discrete values of the image to be reconstructed. Using discreteness and some a priori information we can apply several DT methods in neutron imaging. Most of the DT reconstruction methods are reducing the problem to an optimization task. We tried two such methods on software and physical phantoms. In these experiments we investigated the effects of the following parameters: number of projections, noise levels, and complexity of the object to be reconstructed. We also developed a software system, called DIRECT, for testing different DT methods, to compare them and to present the reconstructed objects.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2005.843657