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Title
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Investigation on accelerated ordered subsets image reconstruction techniques with superiorization methodology
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Type
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JournalPaper
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Keywords
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Oredered-subsets, Computed Tomography, Superiorization, Iterative Methods
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Abstract
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In this paper, we consider a perturbed (superiorized) version of ordered subsets simultaneous iterative reconstruction technique (OS-SIRT) aiming to find a superior solution to linear system of equations which is usually ill-conditioned and has noise in its right-hand side. Furthermore, to speed up the iterations, we apply a recently introduced generalized relaxation scheme and give a convergence analysis based on the algorithmic operators. The performance and computational gain of the proposed algorithm are illustrated by data generated by simulating a computed tomography problem.
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Researchers
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Hossein Rabbani (Second Researcher), Mahdi Mirzapour (First Researcher)
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