• DocumentCode
    1821209
  • Title

    Arterial input function: Relevance of eleven analytical models in DCE-MRI studies

  • Author

    Balvay, D. ; Ponvianne, Yannick ; Claudon, Michel ; Cuenod, C.A.

  • Author_Institution
    Lab. de Rech. en Imagerie LRI-EA4062 Fac. Paris V - Descartes, Paris
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    600
  • Lastpage
    603
  • Abstract
    The assessment of the micro circulatory parameters in tissues by dynamic contrast enhanced MRI (DCE- MRI) requires the knowledge of the arterial input function (AIF). In several situations the estimation of the true AIF can be improved by a mathematical modeling. However, the mathematical modeling can introduce wrong a priori and generate artifacts. It is then necessary to verify its coherence. Several models are proposed in the literature to fit the AIF. In this study, several models were tested. The test consisted in the assessment of the ability of the models to describe a large range of experimental AIF, extracted of a DCE-MRI multicentric study. Simple models, such as exponential or gamma variate functions were not able to correctly describe all the measured AIF. Conversely, the AIF data were correctly described by multi-phase models and especially by an original function based on a "mutli-exponential gamma" function.
  • Keywords
    Q-factor; biomedical MRI; blood vessels; haemodynamics; medical image processing; physiological models; Q factor; arterial input function; biomedical image processing; dynamic contrast enhanced MRI; magnetic resonance imaging; mathematical modeling; microcirculatory parameters; multiexponential gamma function; tissues; Analytical models; Biomedical imaging; Biomedical measurements; Delay; Magnetic resonance imaging; Mathematical model; Motion measurement; Protocols; Testing; Volume measurement; Biomedical image processing; Magnetic resonance imaging; Modeling; Q factor; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541067
  • Filename
    4541067