• DocumentCode
    1119567
  • Title

    Simulation of Biphasic CT Findings in Hepatic Cellular Carcinoma by a Two-Level Physiological Model

  • Author

    Kretowski, Marek ; Bezy-Wendling, Johanne ; Coupe, Pierrick

  • Author_Institution
    Fac. of Comput. Sci., Bialystok Tech. Univ.
  • Volume
    54
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    538
  • Lastpage
    542
  • Abstract
    In this paper, we present a two-level physiological model that is able to reflect morphology and function of vascular networks, in clinical images. Our approach results from the combination of a macroscopic model, providing simulation of the growth and pathological modifications of vascular network, and a microvascular model, based on compartmental approach, which simulates blood and contrast medium transfer through capillary walls. The two-level model is applied to generate biphasic computed tomography of hepatocellular carcinoma. A contrast-enhanced sequence of simulated images is acquired, and enhancement curves extracted from normal and tumoral regions are compared to curves obtained from in vivo images. The model offers the potential of finding early indicators of disease in clinical vascular images
  • Keywords
    blood; cancer; cellular biophysics; computerised tomography; image enhancement; image sequences; liver; medical image processing; physiological models; tumours; biphasic CT; blood; capillary walls; compartmental approach; computed tomography; contrast medium transfer; contrast-enhanced image sequence; disease; enhancement curves; hepatic cellular carcinoma; microvascular model; pathological modifications; tumor; two-level physiological model; vascular network function; vascular network growth; vascular network morphology; Computational modeling; Computed tomography; Diseases; Microscopy; Morphology; Neoplasms; Pathology; Portals; Solid modeling; Veins; Compartment model; computed tomography simulation; enhancement curves; hepatocellular carcinoma; vascular model; Carcinoma, Hepatocellular; Computer Simulation; Humans; Liver Neoplasms; Models, Biological; Neovascularization, Pathologic; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.888834
  • Filename
    4100837