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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.14555 |
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| _version_ | 1866912967355793408 |
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| author | Massimi, Lorenzo Fratini, Michela Marathe, Shashidhara Rau, Christoph Gigli, Giuseppe Olivo, Alessandro Cedola, Alessia |
| author_facet | Massimi, Lorenzo Fratini, Michela Marathe, Shashidhara Rau, Christoph Gigli, Giuseppe Olivo, Alessandro Cedola, Alessia |
| contents | Dark-field imaging is widely used to infer fibre orientation from signal modulation as a function of sample orientation. However, current X-ray dark-field retrieval methods are restricted to single orientations and require tomography to resolve overlapping structures. This approach is time-consuming and not suitable for thin materials, which are common in materials science. Here we present a dark-field model capable of retrieving multiple fibre orientations within a single pixel. The model, based on a geometrical description of fibre scattering, was validated through Monte Carlo simulations and experiments using beam-tracking setups with 1D and 2D masks. Results demonstrate reliable orientation retrieval for up to two fibres per pixel, with the 2D mask providing multi-directional sensitivity in a single acquisition and enabling faster and simplified data collection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_14555 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Retrieval of multiple fibre orientations using X-ray dark-field signal modelling Massimi, Lorenzo Fratini, Michela Marathe, Shashidhara Rau, Christoph Gigli, Giuseppe Olivo, Alessandro Cedola, Alessia Medical Physics Dark-field imaging is widely used to infer fibre orientation from signal modulation as a function of sample orientation. However, current X-ray dark-field retrieval methods are restricted to single orientations and require tomography to resolve overlapping structures. This approach is time-consuming and not suitable for thin materials, which are common in materials science. Here we present a dark-field model capable of retrieving multiple fibre orientations within a single pixel. The model, based on a geometrical description of fibre scattering, was validated through Monte Carlo simulations and experiments using beam-tracking setups with 1D and 2D masks. Results demonstrate reliable orientation retrieval for up to two fibres per pixel, with the 2D mask providing multi-directional sensitivity in a single acquisition and enabling faster and simplified data collection. |
| title | Retrieval of multiple fibre orientations using X-ray dark-field signal modelling |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2603.14555 |