Adult head modelling based on time-resolved measurement for NIR instrument

S. Misonoo, E. Okada

    Research output: Contribution to journalConference article

    2 Citations (Scopus)

    Abstract

    The accurate forward modelling of light propagation in tissue to estimate the partial optical path length in the brain is important for quantitative optical spectroscopy and optical imaging. In this study design of simplified adult head model is investigated to estimate the partial optical path length in the brain. We consider homogeneous, two and three layered models as the simplified models. The apparent optical properties of surface layer of the simplified model are determined by TPSFs at small source-detector separations. Since it is difficult to determine the optical properties of the brain from the in-vivo time-resolved measurement, the optical properties of the brain are assumed to be the reported data. The proposed modelling is evaluated by Monte Carlo simulation. The TPSFs of the five layered models that consist of the scalp, skull, CSF, grey matter and white matter are predicted by Monte Carlo simulation. The apparent optical properties of the surface layer are estimated from the TPSFs for five layered adult head model, and the partial optical path length in the brain is predicted from the proposed simplified models. The predicted partial optical path length is compared with that calculated from the five layered model to evaluate the proposed modelling.

    Original languageEnglish
    Pages (from-to)522-529
    Number of pages8
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume4250
    DOIs
    Publication statusPublished - 2001 Jan 1
    EventOptical Tomography and Spectroscopy of Tissue IV - San Jose, CA, United States
    Duration: 2001 Jan 212001 Jan 23

    Keywords

    • Monte Carlo simulation
    • Optical properties
    • Partial mean optical path length
    • Time-resolved measurement

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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