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Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods
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 effect...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653719/ https://www.ncbi.nlm.nih.gov/pubmed/28900751 http://dx.doi.org/10.1007/s10103-017-2317-4 |
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author | Ash, Caerwyn Dubec, Michael Donne, Kelvin Bashford, Tim |
author_facet | Ash, Caerwyn Dubec, Michael Donne, Kelvin Bashford, Tim |
author_sort | Ash, Caerwyn |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5653719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-56537192017-11-01 Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods Ash, Caerwyn Dubec, Michael Donne, Kelvin Bashford, Tim Lasers Med Sci Original Article 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. Springer London 2017-09-12 2017 /pmc/articles/PMC5653719/ /pubmed/28900751 http://dx.doi.org/10.1007/s10103-017-2317-4 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Ash, Caerwyn Dubec, Michael Donne, Kelvin Bashford, Tim Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
title | Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
title_full | Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
title_fullStr | Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
title_full_unstemmed | Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
title_short | Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
title_sort | effect of wavelength and beam width on penetration in light-tissue interaction using computational methods |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653719/ https://www.ncbi.nlm.nih.gov/pubmed/28900751 http://dx.doi.org/10.1007/s10103-017-2317-4 |
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