• DocumentCode
    617484
  • Title

    Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer

  • Author

    Mehrabian, H. ; Haider, M.A. ; Martel, Anne L.

  • Author_Institution
    Dept. of Med. Biophys., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    966
  • Lastpage
    969
  • Abstract
    Dynamic contrast enhanced MRI combined with Pharmacokinetic (PK) modeling of prostate tissue provides information about its microenvironment and vascular permeability. A fundamental step in PK analysis is measuring the intravascular contrast agent concentration or the arterial input function (AIF). In this study a method is introduced to calculate the intravascular concentration in the prostate tissue using an adaptive complex independent components analysis (ACICA) method and to correct this curve for the early phases of the passage of the contrast agent through tumor vasculature. The results are applied to DCE-MR images of the prostate of a 70 year old prostate cancer patient and the calculated Ktrans map is examined using tumor location defined by multi-parametric MRI. The results show that there is a high Ktrans value in the region in the peripheral zone of the prostate that was hypo-intense in both apparent diffusion coefficient map and T2-weighted MRI. Moreover the results are compared with the parameters derived using a large artery and also corrected artery as the intravascular concentration curve.
  • Keywords
    biodiffusion; biological organs; biomedical MRI; blood vessels; cancer; independent component analysis; permeability; tumours; ACICA method; DCE-MR images; T2-weighted MRI; arterial input function; complex independent component analysis; diffusion coefficient map; dynamic contrast enhanced MRI; intravascular concentration curve; intravascular contrast agent concentration; prostate cancer; prostate tissue pharmacokinetic modeling; tumor vasculature; vascular permeability; Analytical models; Arteries; Biomedical imaging; Magnetic resonance imaging; Prostate cancer; Tumors; Adaptive complex ICA; Pharmacokinetic modeling; Prostate cancer; independent component analysis (ICA); intravascular concentration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556637
  • Filename
    6556637