@inproceedings{39743eb32942443cb69c6e31dbb49304,
title = "Pixel-to-Pixel Variation Correction Using Cylindrical Phantoms in Photon-Counting CT: Total Count Results",
abstract = "Photon-counting detectors (PCDs) in computed tomography (CT) offer advantages over conventional detectors, such as improved spatial resolution and material discrimination. PCDs, however, exhibit greater pixel-to-pixel variability, leading to ring artifacts. This study proposes a calibration method using cylindrical water phantoms to correct these variations. The method involves two steps: acquiring calibration data by positioning phantoms at various offsets from the iso-center and estimating {\textquotedblleft}good pixel{\textquotedblright} responses to obtain pixel-to-pixel variation correction coefficients. Evaluations using a prototype PCD-based CT scanner showed a significant reduction in ring artifacts and improved image quality in test phantom data, validating the method's effectiveness. This approach enhances PCD-based CT systems and paves the way for future improvements in CT imaging.",
keywords = "Pixel-to-pixel variation, calibration, computed tomography, photon-counting detector, ring artifact",
author = "Donghyeon Lee and Xiaohui Zhan and Tai, \{W. Yang\} and Wojciech Zbijewski and Katsuyuki Taguchi",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; Medical Imaging 2025: Physics of Medical Imaging ; Conference date: 17-02-2025 Through 21-02-2025",
year = "2025",
doi = "10.1117/12.3047221",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Sabol, \{John M.\} and Ke Li and Shiva Abbaszadeh",
booktitle = "Medical Imaging 2025",
}