Identification of the Human Bronchial Tissues by the Spectroscopic Image Analysis

Saeko Samejima, Masakazu Kobayashi

    Research output: Contribution to journalArticle

    Abstract

    Autofluorescence (AF) measurement of human bronchus tissues are practically used for the detection of early stage lung cancers. Problems associated with the interference between the excitation light and the AF signal and the lack of the precise analysis of the AF characteristics limit the capability of the technique. In this study, we used a ultraviolet laser diode (UV-LD) and a ultraviolet light emitting diode (UV-LED) as the alternative light source for the AF measurement. An AF analysis system that can analyze the spectroscopic data of about 5mm × 5mm with a spatial resolution of about 10 micro meters were established. The AF spectrum was measured for 512 × 512 pixels and the intensity mapping as a function of a certain emission wavelength was obtained. The numerical calculation of the data (including differential imaging and the chromaticity diagram projection) was performed and the precise feature of the AF was revealed.

    Original languageEnglish
    Pages (from-to)1738-1743
    Number of pages6
    JournalIEEJ Transactions on Electronics, Information and Systems
    Volume124
    Issue number9
    DOIs
    Publication statusPublished - 2004 Jan 1

    Fingerprint

    Image analysis
    Tissue
    Ultraviolet lasers
    Light emitting diodes
    Light sources
    Semiconductor lasers
    Pixels
    Imaging techniques
    Wavelength
    Ultraviolet Rays

    Keywords

    • Autofluorescence (AF)
    • chromaticity diagram
    • human bronchus tissues
    • spectroscopic imaging

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    Identification of the Human Bronchial Tissues by the Spectroscopic Image Analysis. / Samejima, Saeko; Kobayashi, Masakazu.

    In: IEEJ Transactions on Electronics, Information and Systems, Vol. 124, No. 9, 01.01.2004, p. 1738-1743.

    Research output: Contribution to journalArticle

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