• DocumentCode
    2524516
  • Title

    SIMULATION OF HEPATOCELLULAR CARCINOMA IN MRI BY COMBINED MACROVASCULAR AND PHARMACOKINETIC MODELS

  • Author

    Bézy-Wendling, Johanne ; Kretowski, Marek ; Mescam, Muriel ; Jurczuk, Krzysztof ; Eliat, Pierre-Antoine

  • Author_Institution
    Lab. Traitement du Signal et de l´´Image, INSERM, Rennes
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    1272
  • Lastpage
    1275
  • Abstract
    Physiological modeling is a way to better understand medical images, and to find some image markers of pathology. As far as the main hepatic tumor is concerned (hepatocellular carcinoma), the changes we try to reveal in images are mainly vascular ones. These modifications can be seen in magnetic resonance images, whose visual analysis is usually performed by radiologists in order to detect and characterize liver lesions. We propose to model i) the liver and its pathological vascular changes related to tumoral development and ii) the MRI acquisition after injection of contrast product. The hepatic vascularization is modeled from the main branches until capillaries, including several parameters characterizing the tumor. The output of this physiological model constitutes the input of the MRI simulator. This one is based on the Bloch equations and images depend on the acquisition parameters, the tissue properties (relaxation times, proton density) and the contrast product propagation
  • Keywords
    biomedical MRI; cancer; cellular biophysics; liver; physiological models; tumours; Bloch equations; MRI acquisition; hepatic tumor; hepatic vascularization; hepatocellular carcinoma; macrovascular model; magnetic resonance images; pathological vascular changes; pharmacokinetic model; physiological model; proton density; relaxation times; Biomedical imaging; Image analysis; Lesions; Liver neoplasms; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Medical simulation; Pathology; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.357091
  • Filename
    4193525