Photon-count detector model using local parameters for pixel-to-pixel deviations

Donghyeon Lee; Xiaohui Zhan; W. Yang Tai; Wojtek Zbijewski; Katsuyuki Taguchi

doi:10.1117/12.2654001

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

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.

Conference Presentation

Citation Download Citation

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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