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arxiv: 1910.10557 · v6 · pith:CQ22SCXJ · submitted 2019-10-23 · physics.med-ph · physics.app-ph

Optimizing contrast and spatial resolution in hard X-ray tomography of medically relevant tissues

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classification physics.med-ph physics.app-ph
keywords filtermeasurementsdensitygaussianhardimagelargermedically
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Hard X-ray tomography with Paganin's widespread single-distance phase retrieval filter improves contrast-to-noise ratio (CNR) while reducing spatial resolution (SR). We demonstrate that a Gaussian filter provided larger CNR at high SR with interpretable density measurements for two medically relevant soft tissue samples. Paganin's filter produced larger CNR at low SR, though \emph{a priori} assumptions were generally false and image quality gains diminish for CNR $>1$. Therefore, simple absorption measurements of low-$Z$ specimens combined with Gaussian filtering can provide improved image quality and model-independent density measurements compared to single-distance phase retrieval.

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