• DocumentCode
    2381790
  • Title

    Spatial sensitivity of near-infrared spectroscopic brain imaging based on three-dimensional monte carlo modeling

  • Author

    Mansouri, Chemseddine ; Kashou, Nasser H.

  • Author_Institution
    Lab. LPMI, Art et Metiers-Paris Tech, Angers, France
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    1457
  • Lastpage
    1460
  • Abstract
    Accurate estimation of the radiation distribution in the adult human head requires realistic head models generated from magnetic resonance imaging (MRI) scans with true optical properties of each layer of the head. In this study, a complex three-dimensional structural data obtained by MRI are introduced in a three-dimensional Monte Carlo code, with varying optical properties and arbitrary boundary condition, to calculate the spatial sensitivity profile of photon in head, so-called banana-shaped. It is therefore a better model to incorporate the contribution of cerebrospinal fluid (CSF) when modeling the head. The spatial sensitivity of near-infrared spectroscopy measurement to regions in the brain, as well as the effect of optical fiber arrangement on the regions of measurement are investigated. It is shown that the detected signal in brain imaging measurements is greatly affected by the heterogeneity of the head tissue and its scattering properties.
  • Keywords
    Monte Carlo methods; biomedical MRI; biomedical optical imaging; brain; infrared spectroscopy; optical fibres; 3D Monte Carlo modeling; brain imaging; cerebrospinal fluid; magnetic resonance imaging; near infrared spectroscopy; optical fiber arrangement; photon spatial sensitivity; radiation distribution; Adult; Brain; Humans; Models, Theoretical; Monte Carlo Method; Spectroscopy, Near-Infrared;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332919
  • Filename
    5332919