TY - JOUR
T1 - Correction for X-Ray Scatter and Detector Crosstalk in Dark-Field Radiography
AU - Urban, Theresa
AU - Noichl, Wolfgang
AU - Engel, Klaus Juergen
AU - Koehler, Thomas
AU - Pfeiffer, Franz
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Image enhancement/restoration (noise and artifact reduction)
KW - X-ray imaging and computed tomography
UR - http://www.scopus.com/inward/record.url?scp=85187318684&partnerID=8YFLogxK
U2 - 10.1109/TMI.2024.3374974
DO - 10.1109/TMI.2024.3374974
M3 - Article
C2 - 38451749
AN - SCOPUS:85187318684
SN - 0278-0062
VL - 43
SP - 2646
EP - 2656
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 7
ER -