• DocumentCode
    3533604
  • Title

    Improvement in signal-to-noise ratio at variable random fraction in TOF PET

  • Author

    Tabacchini, V. ; Mettivier, G. ; Conti, M. ; Russo, P.

  • Author_Institution
    Dipt. di Sci. Fisiche, Univ. di Napoli Federico II, Naples, Italy
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    2761
  • Lastpage
    2764
  • Abstract
    Time of Flight (TOF) Positron Emission Tomography (PET) produces an improvement in signal-to-noise ratio (SNR) over conventional non-TOF reconstruction. This improvement increases with the size of the patient and with better coincidence time resolution of the system. As a first approximation in TOF PET reconstruction, this gain in SNR is independent of the scatter and random components of the total signal. On the other hand, recently a model has been proposed in which the SNR gain of TOF PET vs. conventional PET is a growing function of the random events fraction. This would provide an additional advantage of TOF PET reconstruction over conventional PET, particularly in the presence of a large random fraction. In this work we show measurements on a NEMA image quality phantom on a Siemens Biograph mCT TOF PET/CT scanner, which confirms the prediction of the model for filtered back projection reconstruction algorithms, in the case of a non uniform source distribution. The implication is that not only is TOF reconstruction more advantageous for large patients, but also the improvement is higher for PET scans performed at higher count rates, compared to a conventional non-TOF reconstruction.
  • Keywords
    image reconstruction; image resolution; medical image processing; phantoms; positron emission tomography; NEMA image quality phantom; Siemens Biograph mCT TOF PET-CT scanner; TOF PET; coincidence time resolution; filtered back projection reconstruction algorithms; gain; nonTOF reconstruction; nonuniform source distribution; random events fraction; signal-to-noise ratio; time of flight positron emission tomography; variable random fraction; Computed tomography; Image quality; Image reconstruction; Mathematical model; Phantoms; Positron emission tomography; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874296
  • Filename
    5874296