Navarrete, C;
Procz, S;
Fey, J;
Roque, G;
Avila, C;
Schuetz, M;
Olivo, A;
(2020)
Energy sensitive X-ray phase contrast imaging with a CdTe-Timepix3 detector.
In:
Proceedings of the 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
The Timepix3 is a photon counting semiconductor detector that enables to simultaneously measure the energy and time of arrival of each incident X- ray photon. These properties, along with the high spatial resolution and high efficiency, due to the CdTe sensor material, can be exploited for several imaging applications, such as X-ray phase contrast imaging (XPCI). XPCI relies on the phase shift suffered by X-rays when traversing the sample. This study focuses on the free-space propagation XPCI and single mask edge illumination XPCI methods, which are two approaches that are well suited for laboratory implementations. Since both techniques are highly sensitive to charge-sharing, the Timepix3 energy and time information for each photon are used to minimize this effect by using pixel clustering methods. In addition, the performance of both XPCI techniques across a 30kVp source spectrum is studied using the energy-resolving capabilities of the detector. In both cases, the phase contrast and signal-to-noise ratio (SNR) are assessed as a function of different energy. Finally, it is demonstrated that phase contrast enhancement is feasible with pixel clustering and energy-selection for both XPCI techniques.
| Type: | Proceedings paper |
|---|---|
| Title: | Energy sensitive X-ray phase contrast imaging with a CdTe-Timepix3 detector |
| Event: | 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) |
| Location: | Manchester, UK |
| Dates: | 26th-2nd November 2019 |
| ISBN-13: | 978-1-7281-4164-0/19 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://doi.org/10.1109/NSS/MIC42101.2019.9060044 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Detectors, Photonics, Image edge detection, Signal to noise ratio, X-ray imaging, Imaging, Energy measurement |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science 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/10113542 |
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