Material Decomposition using Spectral Propagation-based Phase Contrast X-ray Imaging
Florian Schaff, Kaye S. Morgan, James A. Pollock, Linda C. P. Croton,, Stuart B. Hooper, and Marcus J. Kitchen

TL;DR
This paper introduces a novel spectral phase contrast X-ray imaging technique that simultaneously enhances visualization of weakly attenuating features and enables material decomposition, demonstrated through simulations, experiments, and lung imaging.
Contribution
It develops an algorithm combining spectral phase contrast imaging with material decomposition, improving visualization and separation of materials in X-ray radiography.
Findings
Successful material decomposition of aluminium and PMMA samples.
Clear visualization of lung structures free of bones.
Potential applications in lung research and other systems.
Abstract
Material decomposition in X-ray imaging uses the energy-dependence of attenuation to virtually decompose an object into specific constituent materials. X-ray phase contrast imaging is a developing technique that can enhance image contrast seen from weakly attenuating objects. In this paper, we combine spectral phase contrast imaging with material decomposition to both better visualise weakly attenuating features and separate them from overlying objects in radiography. We derive an algorithm that performs both tasks simultaneously and verify it against numerical simulations and experimental measurements of ideal two-component samples composed of pure aluminium and poly(methyl methacrylate). Additionally, we showcase first imaging results of a rabbit kitten's lung. The attenuation signal of a thorax, in particular, is dominated by the strongly attenuating bones of the ribcage, which…
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