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    Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods.

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    Authors
    Ash, C
    Dubec, Michael
    Donne, K
    Bashford, T
    Affiliation
    School of Applied Computing, University of Wales Trinity Saint David, Swansea
    Issue Date
    2017-09-12
    
    Metadata
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    Abstract
    Penetration depth of ultraviolet, visible light and infrared radiation in biological tissue has not previously been adequately measured. Risk assessment of typical intense pulsed light and laser intensities, spectral characteristics and the subsequent chemical, physiological and psychological effects of such outputs on vital organs as consequence of inappropriate output use are examined. This technical note focuses on wavelength, illumination geometry and skin tone and their effect on the energy density (fluence) distribution within tissue. Monte Carlo modelling is one of the most widely used stochastic methods for the modelling of light transport in turbid biological media such as human skin. Using custom Monte Carlo simulation software of a multi-layered skin model, fluence distributions are produced for various non-ionising radiation combinations. Fluence distributions were analysed using Matlab mathematical software. Penetration depth increases with increasing wavelength with a maximum penetration depth of 5378 μm calculated. The calculations show that a 10-mm beam width produces a fluence level at target depths of 1-3 mm equal to 73-88% (depending on depth) of the fluence level at the same depths produced by an infinitely wide beam of equal incident fluence. Meaning little additional penetration is achieved with larger spot sizes. Fluence distribution within tissue and thus the treatment efficacy depends upon the illumination geometry and wavelength. To optimise therapeutic techniques, light-tissue interactions must be thoroughly understood and can be greatly supported by the use of mathematical modelling techniques.
    Citation
    Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods. 2017, Lasers Med Sci
    Journal
    Lasers in Medical Science
    URI
    http://hdl.handle.net/10541/620620
    DOI
    10.1007/s10103-017-2317-4
    PubMed ID
    28900751
    Type
    Article
    Language
    en
    ISSN
    1435-604X
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10103-017-2317-4
    Scopus Count
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