Autor:

Cierniak, Robert

Współtwórca:

Korbicz, Józef (1951- ) - red. ; Kowal, Marek - red.

Tytuł:

An analytical iterative statistical algorithm for image reconstruction from projections

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, Volume 24 (2014)

Temat i słowa kluczowe:

computed tomography ; image reconstruction from projections ; statistical reconstruction algorithm

Abstract:

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2014

Typ zasobu:

artykuł

DOI:

10.2478/amcs-2014-0001

Strony:

7-17

Źródło:

AMCS, volume 24, number 1 (2014) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

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Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego