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Understanding phase contrast artefacts in micro computed absorption tomography

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Abstract
Phase contrast imaging is a technique which captures objects with little or no light absorption. This is possible due to the wave nature of light, i.e., diffraction. In computerised tomography, the aim is most often to reconstruct the light absorption property of objects but many objects can not be imaged without obtaining a mix of both absorption and phase, this is especially true for weakly absorbing objects at high resolution. Hence, phase contrast is usually considered an unwanted artefact which should be removed. Traditionally this is done directly on the projection data prior to the filtered back projection algorithm and the filter settings are derived from the physical setup of the imaging device. In this paper we show how these operations can be carried out on the reconstructed data, without access to the projection images, which yields much flexibility over previous approaches. Especially, filtering can be applied to small regions of interest which simplifies fine tuning of parameters, and some low pass filtering can be avoided which is inherent in previous methods. We will also show the filter parameters can be estimated from step edges in the reconstructed images.
Keywords
phase contrast, CT, x-ray tomography

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Chicago
Wernersson, Erik LG, Matthieu Boone, Jan Van den Bulcke, Luc Van Hoorebeke, and Chris L Luengo Hendriks. 2014. “Understanding Phase Contrast Artefacts in Micro Computed Absorption Tomography.” In SSBA Symposium, Proceedings. Swedish Society for Automated Image Analysis (SSBA).
APA
Wernersson, E. L., Boone, M., Van den Bulcke, J., Van Hoorebeke, L., & Luengo Hendriks, C. L. (2014). Understanding phase contrast artefacts in micro computed absorption tomography. SSBA Symposium, Proceedings. Presented at the SSBA Symposium 2014, Swedish Society for Automated Image Analysis (SSBA).
Vancouver
1.
Wernersson EL, Boone M, Van den Bulcke J, Van Hoorebeke L, Luengo Hendriks CL. Understanding phase contrast artefacts in micro computed absorption tomography. SSBA Symposium, Proceedings. Swedish Society for Automated Image Analysis (SSBA); 2014.
MLA
Wernersson, Erik LG, Matthieu Boone, Jan Van den Bulcke, et al. “Understanding Phase Contrast Artefacts in Micro Computed Absorption Tomography.” SSBA Symposium, Proceedings. Swedish Society for Automated Image Analysis (SSBA), 2014. Print.
@inproceedings{5721759,
  abstract     = {Phase contrast imaging is a technique which captures objects with little or no light absorption. This is possible due to the wave nature of light, i.e., diffraction. In computerised tomography, the aim is most often to reconstruct the light absorption property of objects but many objects can not be imaged without obtaining a mix of both absorption and phase, this is especially true for weakly absorbing objects at high resolution.
Hence, phase contrast is usually considered an unwanted artefact which should be removed. Traditionally this is done directly on the projection data prior to the filtered back projection algorithm and the filter settings are derived from the physical setup of the imaging device.
In this paper we show how these operations can be carried out on the reconstructed data, without access to the projection images, which yields much flexibility over previous approaches. Especially, filtering can be applied to small regions of interest which simplifies fine tuning of parameters, and some low pass filtering can be avoided which is inherent in previous methods. We will also show the filter parameters can be estimated from step edges in the reconstructed images.},
  author       = {Wernersson, Erik LG and Boone, Matthieu and Van den Bulcke, Jan and Van Hoorebeke, Luc and Luengo Hendriks, Chris L},
  booktitle    = {SSBA Symposium, Proceedings},
  language     = {eng},
  location     = {Lule{\aa}, Sweden},
  pages        = {6},
  publisher    = {Swedish Society for Automated Image Analysis (SSBA)},
  title        = {Understanding phase contrast artefacts in micro computed absorption tomography},
  year         = {2014},
}