Volume 1 Number 3 (Sep. 2012)
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IJCCE 2012 Vol.1(3): 222-226 ISSN: 2010-3743
DOI: 10.7763/IJCCE.2012.V1.58

A Comparative Study of Analytical, Iterative and Bayesian Reconstruction Algorithms in Computed Tomography (CT)

Zoubeida Messali, Nabil Chetih, Amina Serir, and Abdelwahhab Boudjelal
Abstract—These Images of the inside of the human body can be obtained using tomographic acquisition and processing techniques. In particular, these techniques are commonly used to obtain X_ray images of the human body. The reconstructed images are obtained given a set of their projections, acquired using reconstruction techniques. A general overview of analytical and iterative methods of reconstruction in computed tomography (CT) is presented in this paper, with a special focus on Bayesian algorithms. The simulated results are compared using quality measurements for various test cases and conclusion is achieved. Through these simulated results, we have demonstrated that the Bayesian approach provides the best image quality and the small values of the quality measurements.

Index Terms—Computed tomography, bayesian approach, reconstruction techniques.

Z. Messali is with the Department of Electronics, Bordj Bou Arréridj, 34265 ALGERIA (e-mail: messalizoubeida@yahoo.fr).
N. Chetih and A. Serir are with the Department of Electronics, Algiers, 16000, ALGERIA (e-mail: chetihnabil@yahoo.fr, aserir@usthb.dz).
A. Boudjelal is with the Department of Electronics, M’Sila, 28000, ALGERIA (e-mail: larbisoft@yahoo.fr)


Cite: Zoubeida Messali, Nabil Chetih, Amina Serir, and Abdelwahhab Boudjelal, "A Comparative Study of Analytical, Iterative and Bayesian Reconstruction Algorithms in Computed Tomography (CT)," International Journal of Computer and Communication Engineering vol. 1, no. 3, pp. 222-226, 2012.

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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