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Improved visualization using phase retrieval algorithms in laboratory X‐ray μCT

Matthieu Boone (UGent) , Yoni De Witte (UGent) , Manuel Dierick (UGent) , Ana Almeida (UGent) , Jan Van den Bulcke (UGent) and Luc Van Hoorebeke (UGent)
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Abstract
In recent years, X‐ray microtomography (μCT) has become a very powerful tool for non destructive visualization and analysis in many fields. Due to the quickly increasing achievable resolution, it has become possible to scan very small samples with high accuracy. However, X‐ray attenuation can become very small in these samples, especially in organic material. Besides X‐ray attenuation, X‐ray refraction becomes visible at the edges of the samples. This effect, called phase contrast, results in a typical edge‐enhancement profile on the projection data. This gives rise to artifacts in the reconstructed data if “uncorrected” projection data are being used. Several methods exist to exploit this phase contrast effect. For laboratory setups with X‐ray tubes, the most important are the use of phase gratings [1] and phase retrieval [2,3] or removal [4] based on image processing. A particular effect of the phase retrieval algorithm is an improvement of the visibility of very small density fluctuations in a matrix. This effect will be demonstrated in this work based on two different samples. A fungus inside a wood sample (Figure 1) is hardly visible in the normal reconstruction, but phase retrieval reveals the fungus filling up some cells. Figure 2 shows a pharmaceutical sample where regions with fewer micropores become visible in phase retrieval reconstruction.
Keywords
phase contrast, X-ray microscopy, micro-CT

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Chicago
Boone, Matthieu, Yoni De Witte, Manuel Dierick, Ana Almeida, Jan Van den Bulcke, and Luc Van Hoorebeke. 2010. “Improved Visualization Using Phase Retrieval Algorithms in Laboratory X‐ray μCT.” In XRM2010 : 10th International Conference on X‐Ray Microscopy, Book of Abstracts, 219–219. Chicago, IL, USA: Argonne National Laboratory.
APA
Boone, Matthieu, De Witte, Y., Dierick, M., Almeida, A., Van den Bulcke, J., & Van Hoorebeke, L. (2010). Improved visualization using phase retrieval algorithms in laboratory X‐ray μCT. XRM2010 : 10th International conference on X‐Ray Microscopy, Book of abstracts (pp. 219–219). Presented at the 10th International conference on X‐Ray Microscopy (XRM 2010), Chicago, IL, USA: Argonne National Laboratory.
Vancouver
1.
Boone M, De Witte Y, Dierick M, Almeida A, Van den Bulcke J, Van Hoorebeke L. Improved visualization using phase retrieval algorithms in laboratory X‐ray μCT. XRM2010 : 10th International conference on X‐Ray Microscopy, Book of abstracts. Chicago, IL, USA: Argonne National Laboratory; 2010. p. 219–219.
MLA
Boone, Matthieu, Yoni De Witte, Manuel Dierick, et al. “Improved Visualization Using Phase Retrieval Algorithms in Laboratory X‐ray μCT.” XRM2010 : 10th International Conference on X‐Ray Microscopy, Book of Abstracts. Chicago, IL, USA: Argonne National Laboratory, 2010. 219–219. Print.
@inproceedings{1105717,
  abstract     = {In recent years, X\unmatched{2010}ray microtomography (\ensuremath{\mu}CT) has become a very powerful tool for non destructive visualization and analysis in many fields. Due to the quickly increasing achievable resolution, it has become possible to scan very small samples with high accuracy. However, X\unmatched{2010}ray attenuation can become very small in these samples, especially in organic material.
Besides X\unmatched{2010}ray attenuation, X\unmatched{2010}ray refraction becomes visible at the edges of the samples. This effect, called phase contrast, results in a typical edge\unmatched{2010}enhancement profile on the projection data. This gives rise to artifacts in the reconstructed data if {\textquotedblleft}uncorrected{\textquotedblright} projection data are being used.
Several methods exist to exploit this phase contrast effect. For laboratory setups with X\unmatched{2010}ray tubes, the most important are the use of phase gratings [1] and phase retrieval [2,3] or removal [4] based on image processing.
A particular effect of the phase retrieval algorithm is an improvement of the visibility of very small density fluctuations in a matrix. This effect will be demonstrated in this work based on two different samples. A fungus inside a wood sample (Figure 1) is hardly visible in the normal reconstruction, but phase retrieval reveals the fungus filling up some cells. Figure 2 shows a pharmaceutical sample where regions with fewer micropores become visible in phase retrieval reconstruction.},
  author       = {Boone, Matthieu and De Witte, Yoni and Dierick, Manuel and Almeida, Ana and Van den Bulcke, Jan and Van Hoorebeke, Luc},
  booktitle    = {XRM2010 : 10th International conference on X\unmatched{2010}Ray Microscopy, Book of abstracts},
  keyword      = {phase contrast,X-ray microscopy,micro-CT},
  language     = {eng},
  location     = {Chicago, IL, USA},
  pages        = {219--219},
  publisher    = {Argonne National Laboratory},
  title        = {Improved visualization using phase retrieval algorithms in laboratory X\unmatched{2010}ray \ensuremath{\mu}CT},
  year         = {2010},
}