• DocumentCode
    2613389
  • Title

    Pixel-based partial volume correction of small animal PET images using Point Spread Function system characterization: Evaluation of effects on cardiac output, perfusion and metabolic rate using parametric images

  • Author

    Spinelli, Antonello E. ; Ambrosio, Daniela D. ; Fiacchi, Giacomo ; Boschi, Stefano ; Franchi, Roberto ; Marengo, Mario

  • Author_Institution
    Servizio di Fisica Sanitaria, Policlinico S. Orsola - Malpighi, Bologna, Italy
  • fYear
    2008
  • fDate
    19-25 Oct. 2008
  • Firstpage
    4260
  • Lastpage
    4265
  • Abstract
    Physiologic parameters such as glucose metabolic rate (GMR), perfusion and cardiac output (CO) can be estimated by performing quantitative analysis using PET dynamic images. The measurement of the image derived arterial input function (IF) and the tissue time activity curve (TAC) can be affected by partial volume effect (PVE). Because of partial volume, the estimate of different physiological parameters can be severely biased. The main goal of this work was to evaluate the effects of an image reconstruction based partial volume correction (PVC) method of small animal PET images on metabolic rate and perfusion on a pixel-based analysis and on cardiac output. The proposed PVC method is based on Point Spread Function (PSF) modeling in the reconstruction scheme. Dynamic mouse heart images were created using the Moby phantom. IF and TAC were simulated for one and two compartmental models and different radiotracers in order to take into account the different positron range. Images were simulated using different sets of rate constants and different noise levels. In order to obtain an estimate of the probability distribution of each kinetic parameter from each pixel value, bootstrap resampling with replacement was applied. The coefficient of variation and the bias of the mean of the distribution with respect to the theoretical value were estimated. Pre and post-correction parametric images of GMR and perfusion and the relative errors show that the image reconstruction PVC reduces errors with respect to the theoretical values in each pixel. The percentage error of CO from uncorrected and corrected images with respect to the theoretical value was 13.5% and 2.3%, respectively, for 18F-FDG study. Regarding images acquired using 82Rb, CO estimate was equal to 34.6 % and 23.2 % for non PVC and PVC images, respectively. In conclusion, pixel based PVC allows to obtain a better measure of the radiotracer concentration in the heart and a more accurate estimation- - of the phisiological parameters.
  • Keywords
    Animals; Heart; Image analysis; Image reconstruction; Performance analysis; Pixel; Positron emission tomography; Sugar; Time measurement; Volume measurement; Partial Volume Correction; kinetic modeling; parametric images; small animal PET;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
  • Conference_Location
    Dresden, Germany
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-2714-7
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2008.4774223
  • Filename
    4774223