• DocumentCode
    1832867
  • Title

    Parametric mapping of blood flow and arterial blood volume in dynamic O-15 water brain PET by cluster analysis

  • Author

    Kim, Kyeong Min ; Watabe, Hiroshi ; Kudomi, Nobuyuki ; Hayashi, Takuya ; Hayashida, Kohei ; Iida, Hidehiro

  • Author_Institution
    Dept. of Investigative Radiol., Nat. Cardiovascular Center - Res. Inst., Osaka, Japan
  • Volume
    5
  • fYear
    2003
  • fDate
    19-25 Oct. 2003
  • Firstpage
    3108
  • Abstract
    A method for simultaneous parametric mapping of both cerebral blood flow (CBF) and cerebral blood volume of artery (CBVa) from single dynamic water image is presented. This method incorporates the 2-compartment model including arterial vascular volume (Va), and cluster analysis for suppressing noise in generating parametric image. A dynamic O-15 water PET scan was performed, after a static O-15 CO gas scan. Arterial input function was obtained during the dynamic scan. Using the reconstructed dynamic image, both images of CBF and CBVa were generated by the presented method. Both generated images of CBF and CBVa were compared to those generated by conventional autoradiography (ARG) and CO image. The CBF image by this method showed the elimination of CBVa component, and was comparable with that by ARG in terms of quantitative CBF value and noise. The CBVa image showed the spatial distribution of activities of pure arterial blood volume only, quantitative value and suppressed noise, in contrast to the image of total blood volume from CO image including artery and vein together. The new method with cluster analysis could create the images with quantitative values of CBF and Va, with improved signal-to-noise ratio. The image of CBVa provided the intuitional information of arterial blood volume only This method could contribute to improved diagnosis of cerebrovascular disease using O-15 water PET.
  • Keywords
    blood; brain; diseases; haemodynamics; image reconstruction; medical image processing; pattern clustering; positron emission tomography; 2-compartment model; arterial blood volume; arterial input function; arterial vascular volume; autoradiography; blood flow; cerebral blood flow; cerebral blood volume; cerebrovascular disease diagnosis; cluster analysis; dynamic O-15 water brain PET; dynamic image reconstruction; noise suppression; parametric mapping; single dynamic water image; Arteries; Blood flow; Image analysis; Image generation; Image reconstruction; Noise generators; Positron emission tomography; Signal analysis; Simultaneous localization and mapping; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2003 IEEE
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-8257-9
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2003.1352555
  • Filename
    1352555