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Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code)

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Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code). McMillan, Lewis Thomas (Author); Barnard, Isla Rose Mary (Author); Brown, C Tom A (Author); Wood, Kenny (Author). 2020.

Research output: Non-textual formSoftware

Harvard

McMillan, LT, Barnard, IRM, Brown, CTA & Wood, K, Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code), 2020, Software.

APA

McMillan, L. T. (Author), Barnard, I. R. M. (Author), Brown, C. T. A. (Author), & Wood, K. (Author). (2020). Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code). Software

Vancouver

McMillan LT (Author), Barnard IRM (Author), Brown CTA (Author), Wood K (Author). Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code) 2020.

Author

McMillan, Lewis Thomas (Author) ; Barnard, Isla Rose Mary (Author) ; Brown, C Tom A (Author) ; Wood, Kenny (Author). / Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code). [Software].

Bibtex - Download

@misc{0812a393f39d4954b934882d2c171fe9,
title = "Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code)",
abstract = "It is possible to enhance topical drug delivery by pretreatment of the skin with ablative fractional lasers (AFLs). However, the parameters to use for a given AFL to achieve the desired depth of ablation or the desired therapeutic or cosmetic outcome are hard to predict. This leaves open the real possibility of overapplication or underapplication of laser energy to the skin. In this study, we developed a numerical model consisting of a Monte Carlo radiative transfer (MCRT) code coupled to a heat transfer and tissue damage algorithm. The simulation is designed to predict the depth effects of AFL on the skin, verified with in vitro experiments in porcine skin via optical coherence tomography (OCT) imaging. Ex vivo porcine skin is irradiated with increasing energies (50–400 mJ/pixel) from a CO2 AFL. The depth of microscopic treatment zones is measured and compared with our numerical model. The data from the OCT images and MCRT model complement each other well. Nonablative thermal effects on surrounding tissue are also discussed. This model, therefore, provides an initial step toward a predictive determination of the effects of AFL on the skin. ",
author = "McMillan, {Lewis Thomas} and Barnard, {Isla Rose Mary} and Brown, {C Tom A} and Kenny Wood",
year = "2020",
language = "English",

}

RIS (suitable for import to EndNote) - Download

TY - ADVS

T1 - Development of a predictive Monte Carlo radiative transfer model for ablative fractional skin lasers (code)

AU - McMillan, Lewis Thomas

AU - Barnard, Isla Rose Mary

AU - Brown, C Tom A

AU - Wood, Kenny

PY - 2020

Y1 - 2020

N2 - It is possible to enhance topical drug delivery by pretreatment of the skin with ablative fractional lasers (AFLs). However, the parameters to use for a given AFL to achieve the desired depth of ablation or the desired therapeutic or cosmetic outcome are hard to predict. This leaves open the real possibility of overapplication or underapplication of laser energy to the skin. In this study, we developed a numerical model consisting of a Monte Carlo radiative transfer (MCRT) code coupled to a heat transfer and tissue damage algorithm. The simulation is designed to predict the depth effects of AFL on the skin, verified with in vitro experiments in porcine skin via optical coherence tomography (OCT) imaging. Ex vivo porcine skin is irradiated with increasing energies (50–400 mJ/pixel) from a CO2 AFL. The depth of microscopic treatment zones is measured and compared with our numerical model. The data from the OCT images and MCRT model complement each other well. Nonablative thermal effects on surrounding tissue are also discussed. This model, therefore, provides an initial step toward a predictive determination of the effects of AFL on the skin.

AB - It is possible to enhance topical drug delivery by pretreatment of the skin with ablative fractional lasers (AFLs). However, the parameters to use for a given AFL to achieve the desired depth of ablation or the desired therapeutic or cosmetic outcome are hard to predict. This leaves open the real possibility of overapplication or underapplication of laser energy to the skin. In this study, we developed a numerical model consisting of a Monte Carlo radiative transfer (MCRT) code coupled to a heat transfer and tissue damage algorithm. The simulation is designed to predict the depth effects of AFL on the skin, verified with in vitro experiments in porcine skin via optical coherence tomography (OCT) imaging. Ex vivo porcine skin is irradiated with increasing energies (50–400 mJ/pixel) from a CO2 AFL. The depth of microscopic treatment zones is measured and compared with our numerical model. The data from the OCT images and MCRT model complement each other well. Nonablative thermal effects on surrounding tissue are also discussed. This model, therefore, provides an initial step toward a predictive determination of the effects of AFL on the skin.

M3 - Software

ER -

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ID: 271170230

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