Adaptive filtering method for reducing signal saturation induced artifacts in X-ray dark-field tomography
X-ray dark-field imaging provides information of an object based on its small-angle scattering properties. Dark-field contrast originates from differences in the strength of scattering from micron and sub-micron sized structures in the object. A Talbot-Lau interferometer can be utilized for dark-field imaging with regular X-ray tubes. A known difficulty with the method arises, when the scattering is too strong, preventing the dark-field and phase retrieval to work accurately.
Researchers have developed a new adaptive filtering technique to address a significant challenge in X-ray dark-field imaging. This method enhances the signal-to-noise ratio in areas where the dark-field signal approaches saturation, a common issue when imaging objects with strong scattering properties. The technique improves the quality of projection images, which are crucial for accurate tomographic reconstruction. This advancement allows for more reliable imaging of samples containing dense scattering structures, overcoming limitations that previously hindered detailed analysis.
This new filtering method enables more accurate and detailed X-ray imaging of complex materials, potentially leading to improved diagnostics and material science research.
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