• DocumentCode
    2231834
  • Title

    Functional modeling for liver imaging and nodule characterization

  • Author

    Eliat, Pierre-Antoine ; Bézy-Wendling, Johanne ; Baille-Barrelle, Dimitri ; Kretowski, Marek ; Olivie, Damien

  • Author_Institution
    Rennes I Univ., France
  • fYear
    2005
  • fDate
    15-17 Sept. 2005
  • Firstpage
    136
  • Lastpage
    141
  • Abstract
    In this paper, we propose to use functional modeling to extract physiological characteristics from dynamic gadolinium-enhanced MRI. The clinical objective is to independently compute the two vascular supplies of the liver, coming from hepatic artery and portal vein. These supplies are progressively modified in hepatocarcinogenesis, and their assessment can be useful for nodule characterization. A first physiological microscopic model of liver vascularization, allows simulating the evolution of the contrast material concentration. After comparison of simulated and real curves, a simplified version of this model is used to extract arterial and portal perfusion parameters, in normal case and in hepatic nodules. These values are in accordance with data obtained by invasive methods.
  • Keywords
    biomedical MRI; gadolinium; liver; dynamic gadolinium-enhanced MRI; hepatic artery; hepatic nodules; hepatocarcinogenesis; liver imaging; liver vascularization; nodule characterization; physiological characteristics; portal perfusion parameters; portal vein; vascular supplies; Arteries; Blood; Cancer; Computational modeling; Computer science; Liver neoplasms; Magnetic resonance imaging; Microscopy; Portals; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on
  • ISSN
    1845-5921
  • Print_ISBN
    953-184-089-X
  • Type

    conf

  • DOI
    10.1109/ISPA.2005.195398
  • Filename
    1521277