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Published in: Lasers in Medical Science 8/2017

Open Access 01-11-2017 | Original Article

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

Authors: Caerwyn Ash, Michael Dubec, Kelvin Donne, Tim Bashford

Published in: Lasers in Medical Science | Issue 8/2017

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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.
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Metadata
Title
Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods
Authors
Caerwyn Ash
Michael Dubec
Kelvin Donne
Tim Bashford
Publication date
01-11-2017
Publisher
Springer London
Published in
Lasers in Medical Science / Issue 8/2017
Print ISSN: 0268-8921
Electronic ISSN: 1435-604X
DOI
https://doi.org/10.1007/s10103-017-2317-4

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