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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2023
Subtitle of host publicationPhysics of Medical Imaging
EditorsLifeng Yu, Rebecca Fahrig, John M. Sabol
PublisherSPIE
ISBN (Electronic)9781510660311
DOIs
StatePublished - 2023
EventMedical Imaging 2023: Physics of Medical Imaging - San Diego, United States
Duration: Feb 19 2023Feb 23 2023

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12463
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2023: Physics of Medical Imaging
Country/TerritoryUnited States
CitySan Diego
Period2/19/232/23/23

Keywords

  • Photon-counting detector
  • charge sharing
  • computed tomography
  • pulse pile-up

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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