Optimization of PET system design for lesion detection

Jinyi Qi

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

Abstract

Traditionally, the figures of merit used in designing a PET scanner are spatial resolution, noise equivalent count rate, noise equivalent sensitivity, etc. These measures, however, do not directly reflect the lesion detectability using the PET scanner. Here we propose to optimize PET scanner design directly for lesion detection. The signal-to-noise ratio (SNR) of lesion detection can be easily computed using the theoretical expressions that we have previously derived. Because no time consuming Monte Carlo simulation is needed, the theoretical expressions allow evaluation of a large range of parameters. The PET system parameters can then be chosen to achieve the maximum SNR for lesion detection. The simulation study shown in this paper was focused a single ring PET scanner without depth of interaction measurement. Randoms and scatters were also ignored.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
EditorsD. Merelli, J. Surget, M. Ulma
Volume3
StatePublished - 2000
Externally publishedYes
Event2000 IEEE Nuclear Science Symposium Conference Record - Lyon, France
Duration: Oct 15 2000Oct 20 2000

Other

Other2000 IEEE Nuclear Science Symposium Conference Record
CountryFrance
CityLyon
Period10/15/0010/20/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

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  • Cite this

    Qi, J. (2000). Optimization of PET system design for lesion detection. In D. Merelli, J. Surget, & M. Ulma (Eds.), IEEE Nuclear Science Symposium and Medical Imaging Conference (Vol. 3)