Noise identification and removal in positron imaging systems

P. H. King, Karl Hubner, W. Gibbs, E. Holloway

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

The noise (scattered and random) generated in two positron emission imaging systems has been studied and mathematically modeled as an exponential convolving function. Compton scattering is presumed to be a dominant factor, as opposed to random events. Deconvolution of the sensed data has enabled us to eliminate noise and to obtain images which can be quantified. Further, these images have improved diagnostic quality.

Original languageEnglish (US)
Pages (from-to)148-151
Number of pages4
JournalIEEE Transactions on Nuclear Science
Volume28
Issue number1
DOIs
StatePublished - Jan 1 1981
Externally publishedYes

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Compton scattering
Exponential functions
Positrons
Deconvolution
Imaging systems
positrons
exponential functions
scattering

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering

Cite this

Noise identification and removal in positron imaging systems. / King, P. H.; Hubner, Karl; Gibbs, W.; Holloway, E.

In: IEEE Transactions on Nuclear Science, Vol. 28, No. 1, 01.01.1981, p. 148-151.

Research output: Contribution to journalArticle

King, P. H. ; Hubner, Karl ; Gibbs, W. ; Holloway, E. / Noise identification and removal in positron imaging systems. In: IEEE Transactions on Nuclear Science. 1981 ; Vol. 28, No. 1. pp. 148-151.
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