A practical statistical approach to the reconstruction problem using a single slice rebinning method

• Autorzy: Cierniak Robert , Pluta Piotr , Kaźmierczak Andrzej

Identyfikatory

DOI

10.2478/jaiscr-2020-0010

• Języki publikacji: EN

Abstrakty

EN

The paper presented here describes a new practical approach to the reconstruction problem applied to 3D spiral x-ray tomography. The concept we propose is based on a continuous-to-continuous data model, and the reconstruction problem is formulated as a shift invariant system. This original reconstruction method is formulated taking into consideration the statistical properties of signals obtained by the 3D geometry of a CT scanner. It belongs to the class of nutating reconstruction methods and is based on the advanced single slice rebinning (ASSR) methodology. The concept shown here significantly improves the quality of the images obtained after reconstruction and decreases the complexity of the reconstruction problem in comparison with other approaches. Computer simulations have been performed, which prove that the reconstruction algorithm described here does indeed significantly outperforms conventional analytical methods in the quality of the images obtained.

Słowa kluczowe

EN

reconstruction algorithm; statistical iterative method; computed tomography

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2020
• Tom: Vol. 10, No. 2
• Strony: 137--149
• Opis fizyczny: Bibliogr. 24 poz., rys.

Twórcy

autor

Cierniak Robert

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

autor

Pluta Piotr

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

autor

Kaźmierczak Andrzej

• Information Technology Institute University of Social Sciences, 90-113 Łódż
• Clark University Worcester, MA 01610, USA

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).