A correction algorithm for partial volume effects in 3D PET imaging: Principle and validation

A. Reilhac, O. G. Rousset, C. Comtat, V. Frouin, M. C. Gregoire, A. C. Evans

Research output: Contribution to conferencePaper

Abstract

We present a method for correcting 3D PET data for Partial Volume Effects. Our method assumes that the observed signal within a region of interest is a weighted sum of the true activities in the FOV of the scanner. The weighting coefficients represent the recovery and the cross-contamination factors between structures, and are estimated by 3D analytical simulation of a high resolution emitting model, such as a MRI segmented volume registered with the corresponding PET volume. The validation of the algorithm using well-controlled data sets, proved its efficiency to recover true time-activity curves in small structures, with errors smaller than 5%.

Original languageEnglish (US)
Pages18/62-18/66
StatePublished - Dec 1 2000
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

    Fingerprint

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Reilhac, A., Rousset, O. G., Comtat, C., Frouin, V., Gregoire, M. C., & Evans, A. C. (2000). A correction algorithm for partial volume effects in 3D PET imaging: Principle and validation. 18/62-18/66. Paper presented at 2000 IEEE Nuclear Science Symposium Conference Record, Lyon, France.