Mazzolani, Andrea;
Astolfo, Alberto;
Buchanan, Ian;
Savvidis, Savvas;
Didziokas, Marius;
Moazen, Mehran;
Fardin, Luca;
... Olivo, Alessandro; + view all
(2025)
Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems.
Optics Express
, 33
(7)
pp. 16187-16201.
10.1364/oe.551760.
Preview |
PDF
Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems.pdf - Published Version Download (4MB) | Preview |
Abstract
In x-ray phase contrast imaging (XPCI) using the edge illumination method (EI), crosstalk (XT) between adjacent pixels due to, e.g., light diffusion in the scintillator in indirect conversion detector systems is an issue that blurs images and reduces both image sharpness and quantitative accuracy. We provide a detailed mathematical description of this phenomenon and propose two independent methods to mitigate its negative effects. The effectiveness of these techniques is demonstrated through both simulated and experimental data, showcasing the improvements in image quality and quantitative accuracy. In particular, the experimental data include an intact mouse skull where soft tissue details of the brain are visualized and improved with the proposed deconvolution methods; to the best of our knowledge, details of the murine brain structure inside an intact skull had not been observed before with laboratory-based XPCI systems.
| Type: | Article |
|---|---|
| Title: | Accurate and noise robust crosstalk removal techniques for edge illumination phase-based x-ray imaging systems |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1364/oe.551760 |
| Publisher version: | https://doi.org/10.1364/oe.551760 |
| Language: | English |
| Additional information: | Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10207058 |
Archive Staff Only
 |
View Item |
