Retrieval of multiple fibre orientations using X-ray dark-field signal modelling

TL;DR

This paper introduces a novel dark-field imaging model that can simultaneously retrieve multiple fibre orientations within a single pixel, improving speed and simplicity over traditional single-orientation methods.

Contribution

The authors developed a new geometrical dark-field model capable of extracting multiple fibre orientations from a single pixel, validated through simulations and experiments.

Findings

Reliable retrieval of up to two fibre orientations per pixel

2D masks enable multi-directional sensitivity in a single acquisition

Faster and simplified data collection compared to tomography

Abstract

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.