A framework for optimizing micro-CT in dual-modality micro-CT/XFCT small-animal imaging system

Srinivasan Vedantham, Suman Shrestha, Andrew Karellas, Sang Hyun Cho

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

2 Scopus citations

Abstract

Dual-modality Computed Tomography (CT)/X-ray Fluorescence Computed Tomography (XFCT) can be a valuable tool for imaging and quantifying the organ and tissue distribution of small concentrations of high atomic number materials in small-animal system. In this work, the framework for optimizing the micro-CT imaging system component of the dual-modality system is described, either when the micro-CT images are concurrently acquired with XFCT and using the x-ray spectral conditions for XFCT, or when the micro-CT images are acquired sequentially and independently of XFCT. This framework utilizes the cascaded systems analysis for task-specific determination of the detectability index using numerical observer models at a given radiation dose, where the radiation dose is determined using Monte Carlo simulations.

Original languageEnglish (US)
Title of host publicationRadiation Detectors in Medicine, Industry, and National Security XVIII
EditorsGary P. Grim, Lars R. Furenlid, H. Bradford Barber
PublisherSPIE
ISBN (Electronic)9781510612433
DOIs
StatePublished - 2017
EventRadiation Detectors in Medicine, Industry, and National Security XVIII 2017 - San Diego, United States
Duration: Aug 9 2017Aug 10 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10393
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherRadiation Detectors in Medicine, Industry, and National Security XVIII 2017
Country/TerritoryUnited States
CitySan Diego
Period8/9/178/10/17

Keywords

  • X-ray fluorescence computed tomography (XFCT)
  • computed tomography (CT)
  • small-animal imaging system

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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