Presentation + Paper
7 September 2017 Spectral correction algorithm for multispectral CdTe x-ray detectors
Erik D. Christensen, Jan Kehres, Yun Gu, Robert Feidenhans'l, Ulrik L. Olsen
Author Affiliations +
Abstract
Compared to the dual energy scintillator detectors widely used today, pixelated multispectral X-ray detectors show the potential to improve material identification in various radiography and tomography applications used for industrial and security purposes. However, detector effects, such as charge sharing and photon pileup, distort the measured spectra in high flux pixelated multispectral detectors. These effects significantly reduce the detectors’ capabilities to be used for material identification, which requires accurate spectral measurements. We have developed a semi analytical computational algorithm for multispectral CdTe X-ray detectors which corrects the measured spectra for severe spectral distortions caused by the detector. The algorithm is developed for the Multix ME100 CdTe X-ray detector, but could potentially be adapted for any pixelated multispectral CdTe detector. The calibration of the algorithm is based on simple attenuation measurements of commercially available materials using standard laboratory sources, making the algorithm applicable in any X-ray setup. The validation of the algorithm has been done using experimental data acquired with both standard lab equipment and synchrotron radiation. The experiments show that the algorithm is fast, reliable even at X-ray flux up to 5 Mph/s/mm2, and greatly improves the accuracy of the measured X-ray spectra, making the algorithm very useful for both security and industrial applications where multispectral detectors are used.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik D. Christensen, Jan Kehres, Yun Gu, Robert Feidenhans'l, and Ulrik L. Olsen "Spectral correction algorithm for multispectral CdTe x-ray detectors", Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 103930H (7 September 2017); https://doi.org/10.1117/12.2272935
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Detection and tracking algorithms

X-ray detectors

Algorithm development

Homeland security

X-rays

Dual energy imaging

Back to Top