X-ray dark-field via spectral propagation-based imaging
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866910584839077888 |
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| author | Ahlers, Jannis N. Pavlov, Konstantin M. Kitchen, Marcus J. Morgan, Kaye S. |
| author_facet | Ahlers, Jannis N. Pavlov, Konstantin M. Kitchen, Marcus J. Morgan, Kaye S. |
| contents | Dark-field X-ray imaging is a novel modality which visualises scattering from unresolved microstructure. Most dark-field imaging techniques rely on crystals or structured illumination, but recent work has shown that dark-field effects are observable in straightforward propagation-based imaging (PBI). Based on the single-material X-ray Fokker--Planck equation with an a priori dark-field energy dependence, we propose an algorithm to extract phase and dark-field effects from dual-energy PBI images. We successfully apply the dark-field retrieval algorithm to simulated and experimental dual-energy data, and show that by accounting for dark-field effects, projected thickness reconstruction is improved compared to the classic Paganin algorithm. With the emergence of spectral detectors, the method could enable single-exposure dark-field imaging of dynamic and living samples. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_15874 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | X-ray dark-field via spectral propagation-based imaging Ahlers, Jannis N. Pavlov, Konstantin M. Kitchen, Marcus J. Morgan, Kaye S. Medical Physics Image and Video Processing Optics Dark-field X-ray imaging is a novel modality which visualises scattering from unresolved microstructure. Most dark-field imaging techniques rely on crystals or structured illumination, but recent work has shown that dark-field effects are observable in straightforward propagation-based imaging (PBI). Based on the single-material X-ray Fokker--Planck equation with an a priori dark-field energy dependence, we propose an algorithm to extract phase and dark-field effects from dual-energy PBI images. We successfully apply the dark-field retrieval algorithm to simulated and experimental dual-energy data, and show that by accounting for dark-field effects, projected thickness reconstruction is improved compared to the classic Paganin algorithm. With the emergence of spectral detectors, the method could enable single-exposure dark-field imaging of dynamic and living samples. |
| title | X-ray dark-field via spectral propagation-based imaging |
| topic | Medical Physics Image and Video Processing Optics |
| url | https://arxiv.org/abs/2309.15874 |