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7 April 2023 Photon-count detector model using local parameters for pixel-to-pixel deviations
Donghyeon Lee, Xiaohui Zhan, W. Yang Tai, Wojtek Zbijewski, Katsuyuki Taguchi
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Proceedings Volume 12463, Medical Imaging 2023: Physics of Medical Imaging; 124630G (2023) https://doi.org/10.1117/12.2654001
Event: SPIE Medical Imaging, 2023, San Diego, California, United States
Abstract
Photon-counting detectors (PCDs) have many advantages over the energy-integrating detectors. To fully exploit the advantages, however, it is important to develop a method that characterizes the PCD data by considering major spectral distortion factors: charge sharing (CS) and pulse pile-up (PP). Two major challenges were remaining model–data mismatch and pixel-to-pixel deviations from “good pixels.” In this work, we proposed a PCD model that uses global count-rate-dependent model parameters to address the global model–data mismatch problem and local parameters to handle local pixel-to-pixel deviations. The agreement of the proposed model and physical PCD data was outstanding.
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Donghyeon Lee, Xiaohui Zhan, W. Yang Tai, Wojtek Zbijewski, and Katsuyuki Taguchi "Photon-count detector model using local parameters for pixel-to-pixel deviations", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124630G (7 April 2023); https://doi.org/10.1117/12.2654001
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KEYWORDS
Data modeling
Calibration
Photodetectors
X-rays
X-ray computed tomography
Photon counting
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