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A hybrid tomographic reconstruction algorithm for high speed X-ray tomography

A hybrid tomographic reconstruction algorithm for high speed X-ray tomography , Xiaogang Yang, J. Ruud van Ommen, Jasper Schoormans, and Robert F. Mudde. Computer Physics Communications 2015, .

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Abstract

Abstract This paper compares two techniques for reconstructing images from time-resolved X-ray tomography data: Simultaneous Algebraic Reconstruction Technique (SART) and Adaptive Genetic Algorithm (AGA). The advantages and disadvantages of both are discussed, and we combine them into a hybrid algorithm. The hybrid method uses results from \AGA as the starting values for SART. We demonstrate that this leads to improved reconstruction results: less noise than \SART and better reconstruction of shapes than AGA.

BibTeX

@article{Yang2015,
title = {A hybrid tomographic reconstruction algorithm for high speed X-ray tomography },
journal = {Computer Physics Communications },
year = {2015},
issn = {0010-4655},
doi = {http://dx.doi.org/10.1016/j.cpc.2015.05.010},
url = {http://www.sciencedirect.com/science/article/pii/S0010465515001885},
author = {Xiaogang Yang and J. Ruud van Ommen and Jasper Schoormans and Robert F. Mudde},
abstract = {Abstract This paper compares two techniques for reconstructing images from time-resolved X-ray tomography data: Simultaneous Algebraic Reconstruction Technique (SART) and Adaptive Genetic Algorithm (AGA). The advantages and disadvantages of both are discussed, and we combine them into a hybrid algorithm. The hybrid method uses results from \{AGA\} as the starting values for SART. We demonstrate that this leads to improved reconstruction results: less noise than \{SART\} and better reconstruction of shapes than AGA.}
}

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