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

Lewis McMillan (Lead / Corresponding author), Paul O'Mahoney, Kairui Feng, Kanheng Zheng, Isla R. M. Barnard, Chunhui Li, Sally Ibbotson, Ewan Eadie, C. Tom A. Brown, Kenneth Wood

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
57 Downloads (Pure)


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 CO 2 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.

Original languageEnglish
Pages (from-to)731-740
Number of pages10
JournalLasers in Surgery and Medicine
Issue number5
Early online date8 Nov 2020
Publication statusPublished - Jul 2021


  • Monte Carlo
  • ablation
  • aesthetics
  • predictive

ASJC Scopus subject areas

  • Surgery
  • Dermatology


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