Image reconstruction and correction methods in neutron and X-ray tomography

Kiss Zoltán and Rodek Lajos and Kuba Attila: Image reconstruction and correction methods in neutron and X-ray tomography. In: Acta cybernetica, (17) 3. pp. 557-587. (2006)

[thumbnail of Kiss_2006_ActaCybernetica.pdf]
Preview
Cikk, tanulmány, mű
Kiss_2006_ActaCybernetica.pdf

Download (741kB) | Preview

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.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2006
Volume: 17
Number: 3
ISSN: 0324-721X
Page Range: pp. 557-587
Language: English
Place of Publication: Szeged
Related URLs: http://acta.bibl.u-szeged.hu/38521/
Uncontrolled Keywords: Számítástechnika, Kibernetika, Tomográfia
Additional Information: Bibliogr.: p. 586-587. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
03. Medical and health sciences
03. Medical and health sciences > 03.02. Clinical medicine
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2022. Jun. 16. 09:40
URI: http://acta.bibl.u-szeged.hu/id/eprint/12782

Actions (login required)

View Item View Item