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Title
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poly-DART : a discrete algebraic reconstruction technique for polychromatic X-ray CT
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Author
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Abstract
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| The discrete algebraic reconstruction technique (DART) is a tomographic method to reconstruct images from X-ray projections in which prior knowledge on the number of object materials is exploited. In monochromatic X-ray CT (e.g., synchrotron), DART has been shown to lead to high-quality reconstructions, even with a low number of projections or a limited scanning view. However, most X-ray sources are polychromatic, leading to beam hardening effects, which significantly degrade the performance of DART. In this work, we propose a new discrete tomography algorithm, poly-DART, that exploits sparsity in the attenuation values using DART and simultaneously accounts for the polychromatic nature of the X-ray source. The results show that poly-DART leads to a vastly improved segmentation on polychromatic data obtained from Monte Carlo simulations as well as on experimental data, compared to DART. |
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Language
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English
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Source (journal)
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Optics express. - -
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Publication
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2019
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ISSN
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1094-4087
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DOI
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10.1364/OE.27.033670
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Volume/pages
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27
:23
(2019)
, p. 33671-33683
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Article Reference
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000495871300068
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ISI
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000495871300068
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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