Creator:

Cierniak, Robert

Contributor:

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

Title:

An analytical iterative statistical algorithm for image reconstruction from projections

Subtitle:

.

Group publication title:

AMCS, Volume 24 (2014)

Subject and Keywords:

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2014

Resource Type:

artykuł

DOI:

10.2478/amcs-2014-0001

Pages:

7-17

Source:

AMCS, volume 24, number 1 (2014) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego