Boosting spatial resolution by incorporating periodic boundary conditions into single-distance hard-x-ray phase retrieval

Abstract

A simple coherent-imaging method due to Paganin et al. is widely employed for phase-amplitude reconstruction of samples using a single paraxial x-ray propagation-based phase-contrast image. The method assumes that the sample-to-detector distance is sufficiently small for the associated Fresnel number to be large compared to unity. The algorithm is particularly effective when employed in a tomographic setting, using a single propagation-based phase-contrast image for each projection. Here we develop a simple extension of the method, which improves the reconstructed contrast of very fine sample features. This provides first-principles motivation for boosting fine spatial detail associated with high Fourier frequencies, relative to the original method, and was inspired by several recent works employing empirically-obtained Fourier filters to a similar end.

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Cited by in corpus (5)

• X-ray phase-contrast imaging: a broad overview of some fundamentals
• X-ray dark-field via spectral propagation-based imaging
• Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions
• Low-exposure, high-quality multimodal speckle X-ray imaging via an intrinsic gradient-flow approach
• Single-exposure elemental differentiation and texture-sensitive phase-retrieval imaging with a neutron counting micro-channel plate detector