@inproceedings{eb86fe3a4fbb4907ac291159c29ee62d,
title = "Photon-count detector model using local parameters for pixel-to-pixel deviations",
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.",
keywords = "Photon-counting detector, charge sharing, computed tomography, pulse pile-up",
author = "Donghyeon Lee and Xiaohui Zhan and Tai, {W. Yang} and Wojtek Zbijewski and Katsuyuki Taguchi",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2023: Physics of Medical Imaging ; Conference date: 19-02-2023 Through 23-02-2023",
year = "2023",
doi = "10.1117/12.2654001",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Lifeng Yu and Rebecca Fahrig and Sabol, {John M.}",
booktitle = "Medical Imaging 2023",
}