Title
Image reconstruction and correction methods in neutron and X-ray tomography
Abstract
Neutron and X-ray tomography are imaging techniques for getting information about the interior of objects in a non-destructive way. They reconstruct cross-sections from projection images of the object being investigated. Due to the properties of the image acquisition system, the projection images are distorted by several artifacts, and these reduce the quality of the reconstruction. In order to eliminate these harmful effects the projection images should be corrected before reconstruction. Taking projections is usually an expensive and time consuming procedure. One of our main goals has been to try to minimize the number of projections - for example, by exploiting more a priori information. A possible way of reducing the number of projections is by the application of discrete tomographic methods. In this case a special class of objects can be reconstructed, consisting of only a few homogenous materials that can be characterized by known discrete absorption values. To this end we have implemented two reconstruction methods. One is able to reconstruct objects consisting of cylinders and spheres made of homogeneous materials only. The other method is a general one in the sense that it can be used for reconstructing any shape. Simulations on phantoms and physical measurements were carried out and the results are presented here.
Year
Venue
Keywords
2006
Acta Cybern.
x-ray tomography,harmful effect,reconstruction method,discrete absorption value,projection image,homogenous material,discrete tomographic method,image reconstruction,correction method,image acquisition system,imaging technique,homogeneous material
Field
DocType
Volume
Iterative reconstruction,Neutron,Computer vision,Tomographic reconstruction,Homogeneous,A priori and a posteriori,Tomography,SPHERES,Artificial intelligence,Mathematics
Journal
17
Issue
ISSN
Citations 
3
0324-721X
4
PageRank 
References 
Authors
0.89
3
3
Name
Order
Citations
PageRank
Zoltán Kiss1122.75
Lajos Rodek272.02
Attila Kuba351352.84