Spatio-energetic cross-talk in photon counting detectors: Numerical detector model (PcTK) and workflow for CT image quality assessment

  • Katsuyuki Taguchi
  • , Karl Stierstorfer
  • , Christoph Polster
  • , Okkyun Lee
  • , Steffen Kappler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We developed and reported an analytical model (version 2.1) of inter-pixel cross-talk of energy-sensitive photon counting detectors (PCDs) in 2016 [1]. Since the time, we have identified four problems that are inherent to the design of the model version 2.1. In this study, we have developed a new model (version 3.2; "PcTK" for Photon Counting Toolkit) based on a totally different design concept. The comparison with the previous model version 2.1 and a Monte Carlo (MC) simulation has shown that the new model version 3.2 addressed the four problems successfully. The workflow script for computed tomography (CT) image quality assessment has demonstrated the utility of the model and potential values to CT community. The software packages including the workflow script, built using Matlab 2016a, has been made available to academic researchers free of charge (PcTK; https://pctk.jhu.edu).

Original languageEnglish
Title of host publicationMedical Imaging 2018
Subtitle of host publicationPhysics of Medical Imaging
EditorsTaly Gilat Schmidt, Guang-Hong Chen, Joseph Y. Lo
PublisherSPIE
ISBN (Electronic)9781510616356
DOIs
StatePublished - 2018
EventMedical Imaging 2018: Physics of Medical Imaging - Houston, United States
Duration: 12 Feb 201815 Feb 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10573
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2018: Physics of Medical Imaging
Country/TerritoryUnited States
CityHouston
Period12/02/1815/02/18

Bibliographical note

Publisher Copyright:
© 2018 SPIE.

Keywords

  • Computed tomography
  • photon counting
  • spectral distortion
  • spectral response

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