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2017 | OriginalPaper | Chapter

Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography

Authors : Robert Cierniak, Jarosław Bilski, Jacek Smola̧g, Piotr Pluta, Nimit Shah

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

The presented paper describes a parallel realization of an approach to the reconstruction problem for 3D spiral x-ray tomography. The reconstruction problem is formulated taking into consideration the statistical properties of signals obtained by x-ray CT and the analytical methodology of image processing. The concept shown here significantly accelerates calculations performed during iterative reconstruction process in the formulated algorithm. Computer simulations have been performed which prove that the reconstruction algorithm described here, does indeed significantly outperform conventional analytical methods in the quality of the images obtained.

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previous chapter Contiguous Line Segments in the Ulam Spiral: Experiments with Larger Numbers
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Metadata
Title
Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography
Authors
Robert Cierniak
Jarosław Bilski
Jacek Smola̧g
Piotr Pluta
Nimit Shah
Copyright Year
2017
Book
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-59062-2

Electronic ISBN: 978-3-319-59063-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59063-9_42

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