2017
DOI: 10.1364/oe.25.011984
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Edge illumination X-ray phase tomography of multi-material samples using a single-image phase retrieval algorithm

Abstract: In this paper we present a single-image phase retrieval algorithm for multi-material samples, developed for the edge illumination (EI) X-ray phase contrast imaging method. The theoretical derivation is provided, along with any assumptions made. The algorithm is evaluated quantitatively using both simulated and experimental results from a computed tomography (CT) scan using the EI laboratory implementation. Qualitative CT results are provided for a biological sample containing both bone and soft-tissue. Using a… Show more

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Cited by 17 publications
(10 citation statements)
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“…An appropriate method would be able to reconstruct sharp images for any sample composition, including samples with strong absorbers like bone. First steps have been taken in this regard, e.g., we have developed an extension to the single-frame phase retrieval that can accommodate multiple material interfaces [24]. However, that method requires that the final image is "spliced" from individual reconstructions, which is not straightforward on complex samples.…”
Section: Discussionmentioning
confidence: 99%
“…An appropriate method would be able to reconstruct sharp images for any sample composition, including samples with strong absorbers like bone. First steps have been taken in this regard, e.g., we have developed an extension to the single-frame phase retrieval that can accommodate multiple material interfaces [24]. However, that method requires that the final image is "spliced" from individual reconstructions, which is not straightforward on complex samples.…”
Section: Discussionmentioning
confidence: 99%
“…Future work will be dedicated to the extension of the method to the case of multi-material samples (Beltran et al, 2010;Zamir et al, 2017). Finally, the developed method can be directly generalized to two-dimensional XGI (Sato et al, 2011;Morimoto et al, 2015) and also applied to phase tomography (Ruiz-Yaniz et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, even if the presence of a single homogeneous material is assumed in its derivation, Paganin's phase retrieval can be adapted to strongly heterogeneous samples via multimaterial approaches [28,29]. This work makes use of the aforementioned theoretical background and reports on a microscale computedtomography (μ-CT) monochromatic PBI setup based on a high-power rotating-anode x-ray generator suitable for biological samples on the millimeter scale.…”
Section: Introductionmentioning
confidence: 99%