Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems

In x-ray phase contrast imaging (XPCI) using the edge illumination method (EI), crosstalk (XT) between adjacent pixels due to, e.g., light diffusion in the scintillator in indirect conversion detector systems is an issue that blurs images and reduces both image sharpness and quantitative accuracy. We provide a detailed mathematical description of this phenomenon and propose two independent methods to mitigate its negative effects. The effectiveness of these techniques is demonstrated through both simulated and experimental data, showcasing the improvements in image quality and quantitative accuracy. In particular, the experimental data include an intact mouse skull where soft tissue details of the brain are visualized and improved with the proposed deconvolution methods; to the best of our knowledge, details of the murine brain structure inside an intact skull had not been observed before with laboratory-based XPCI systems.

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Publication Details

Journal
Optics Express
Published
2025-03-20
DOI
https://doi.org/10.1364/oe.551760
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems

Peter R. T. Munro, Mehran Moazen, Alberto Astolfo, Ian Buchanan et al.
Optics Express
Advanced X-ray Imaging Techniques
article

Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems

Peter R. T. Munro, Mehran Moazen, Alberto Astolfo, Ian Buchanan, Luca Fardin, Andrea Mazzolani, Savvas Savvidis, Alessandro Olivo, Marius Didziokas
article en

Abstract

In x-ray phase contrast imaging (XPCI) using the edge illumination method (EI), crosstalk (XT) between adjacent pixels due to, e.g., light diffusion in the scintillator in indirect conversion detector systems is an issue that blurs images and reduces both image sharpness and quantitative accuracy. We provide a detailed mathematical description of this phenomenon and propose two independent methods to mitigate its negative effects. The effectiveness of these techniques is demonstrated through both simulated and experimental data, showcasing the improvements in image quality and quantitative accuracy. In particular, the experimental data include an intact mouse skull where soft tissue details of the brain are visualized and improved with the proposed deconvolution methods; to the best of our knowledge, details of the murine brain structure inside an intact skull had not been observed before with laboratory-based XPCI systems.

Optics ExpressVol. 33(7)
University College London (GB)
Royal Academy of Engineering, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 93%
Advanced X-ray Imaging Techniques
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Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems — Peter R. T. Munro, Mehran Moazen, et al. · Optics Express (2025) | TGRS Research Map | TGRS