Abstract
Dark-field radiography, a new X-ray imaging method, has recently been applied to human chest imaging for the first time. It employs conventional X-ray devices in combination with a Talbot-Lau interferometer with a large field of view, providing both attenuation and dark-field radiographs. It is well known that sample scatter creates artifacts in both modalities. Here, we demonstrate that also X-ray scatter generated by the interferometer as well as detector crosstalk create artifacts in the dark-field radiographs, in addition to the expected loss of spatial resolution. We propose deconvolution-based correction methods for the induced artifacts. The kernel for detector crosstalk is measured and fitted to a model, while the kernel for scatter from the analyzer grating is calculated by a Monte-Carlo simulation. To correct for scatter from the sample, we adapt an algorithm used for scatter correction in conventional radiography. We validate the obtained corrections with a water phantom. Finally, we show the impact of detector crosstalk, scatter from the analyzer grating and scatter from the sample and their successful correction on dark-field images of a human thorax.
| Original language | English |
|---|---|
| Pages (from-to) | 2646-2656 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Medical Imaging |
| Volume | 43 |
| Issue number | 7 |
| DOIs | |
| State | Published - 2024 |
Keywords
- Image enhancement/restoration (noise and artifact reduction)
- X-ray imaging and computed tomography
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