X-ray dark-field via spectral propagation-based imaging

Abstract

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.

21 pages, 17 figures

References in corpus (9)

• Single-Image Geometric-Flow X-Ray Speckle Tracking
• Single-shot x-ray speckle-based imaging of a single-material object
• Dark-field signal extraction in propagation-based phase-contrast imaging
• Boosting spatial resolution by incorporating periodic boundary conditions into single-distance hard-x-ray phase retrieval
• X-ray Multimodal Intrinsic-Speckle-Tracking
• Quantifying the x-ray dark-field signal in single-grid imaging
• Directional dark-field retrieval with single-grid x-ray imaging
• Dual-energy X-ray dark-field material decomposition
• Paraxial diffusion-field retrieval

Cited by in corpus (2)

• Single-exposure X-ray dark-field imaging via a dual-energy propagation-based setup
• High-energy X-ray phase-contrast CT of an adult human chest phantom