@inproceedings{df2b2dee88d14b7c90fbd7a10c6b7032,
title = "Charge sharing correction for photon counting detectors with coincidence counters",
abstract = "One of the challenges for photon counting detector (PCD)-based computed tomography (CT) is spectral distortion due to charge sharing (CS). We recently proposed multi-energy inter-pixel coincidence counter (MEICC), which uses energy-dependent coincidence counters (CCs) between each PCD pixel and its neighboring pixels and records coincident events via charge sharing during data acquisition. Previous studies have shown that the performance of MEICC is as good as other technologies including digital count summing (DCS) scheme. In this study, we develop an algorithm that uses MEICC PCD output to create CS-corrected data. The performance of the method is assessed using a Monte Carlo (MC) simulation.",
keywords = "charge sharing, Computed tomography, photon counting, spectral distortion, spectral response",
author = "Katsuyuki Taguchi and Hsieh, {Scott S.}",
note = "Funding Information: This study has been supported in part by an NIH research grant, R21 EB029739. We are grateful for Subramanian for discussion during the course of the study. 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 = "10.1117/12.2654389",
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",
}