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Spatial resolution studies for a prototype proton CT scanner

  • Tia E. Plautz
  • , V. Bashkirov
  • , R. F. Hurley
  • , V. Giacometti
  • , R. P. Johnson
  • , H. F.W. Sadrozinski
  • , R. W. Schulte
  • , A. Zatserklyaniy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A GEANT4 simulation of the phase II proton CT (pCT) scanner built by the pCT collaboration was used in order to study the spatial resolution of the imaging system. A digital edge phantom composed of water-equivalent polymer with 6 body-equivalent material inserts was created. A modified version of the oversampling method was used in order to construct edge spread functions and modulation transfer functions for materials of varying relative stopping power located at several radial displacements from the center of the phantom. It was determined that for a binning size of 1mm×2.5mm and image pixel size of 1 mm2, the limiting resolution observed was 50-75% of the Nyquist frequency. This result could be improved to 60-85% of the Nyquist frequency by reducing the binning size for the filtered back projection to 0.5mm×2.5 mm.
Original languageAmerican English
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960972
ISBN (Print)9781479960972
DOIs
StatePublished - Mar 14 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014 → Nov 15 2014

Publication series

NameNuclear Science Symposium and Medical Imaging Conference

Conference

ConferenceIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
Country/TerritoryUnited States
CitySeattle
Period11/8/14 → 11/15/14

ASJC Scopus Subject Areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Keywords

  • modulation transfer function
  • oversampling method
  • proton imaging
  • spatial resolution
  • tomographic reconstruction of material properties

Disciplines

  • Physics
  • Optics
  • Artificial Intelligence and Robotics

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