An analytical iterative statistical algorithm for image reconstruction from projections

• Autorzy: Robert Cierniak
• Języki publikacji: EN

Abstrakty

EN

The main purpose of the paper is to present a statistical model-based iterative approach to the problem of image reconstruction from projections. This originally formulated reconstruction algorithm is based on a maximum likelihood method with an objective adjusted to the probability distribution of measured signals obtained from an x-ray computed tomograph with parallel beam geometry. Various forms of objectives are tested. Experimental results show that an objective that is exactly tailored statistically yields the best results, and that the proposed reconstruction algorithm reconstructs an image with better quality than a conventional algorithm with convolution and back-projection.

Słowa kluczowe

EN

computed tomography; image reconstruction from projections; statistical reconstruction algorithm

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2014
• Tom: 24
• Numer: 1
• Strony: 7-17

Daty

wydano

2014

otrzymano

2013-03-14

poprawiono

2013-06-13

poprawiono

2013-07-10

Twórcy

autor

Robert Cierniak

• Institute of Computational Intelligence, Częstochowa University of Technology, ul. Armii Krajowej 36, 42-200 Częstochowa, Poland

Bibliografia

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Identyfikatory

DOI

10.2478/amcs-2014-0001