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Digital coincidence processing for the RatCAP conscious rat brain PET scanner

  • S. J. Park
  • , S. Southekal
  • , M. Purschke
  • , S. S. Junnarkar
  • , J. F. Pratte
  • , S. P. Stoll
  • , C. L. Woody
  • , D. J. Schlyer
  • , P. Vaska

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

The RatCAP has been designed and constructed to image the awake rat brain. In order to maximize system performance, offline digital coincidence data processing algorithms including offset delay correction and prompt and delayed coincidence detection have been developed and validated. With offset delay correction using a singular value decomposition (SVD) technique, overall time resolution was improved from 32.6 to 17.6 ns FWHM. The experimental results confirm that the ratio of prompts to randoms was improved because a narrower timing window could be used. 18F-fluoride rat bone scan data were reconstructed using our fully 3-D ML-EM algorithm with a highly accurate detector response model created from Monte Carlo simulation.

Original languageEnglish
Pages (from-to)510-515
Number of pages6
JournalIEEE Transactions on Nuclear Science
Volume55
Issue number1
DOIs
StatePublished - Feb 2008

Keywords

  • Awake rat
  • Offset delay correction
  • RatCAP
  • Singular value decomposition (SVD)

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