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Related Experiment Video

Updated: May 5, 2026

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Modelling Skin Pigmentation Using the Monte Carlo Technique: A Review.

Raghda Al-Halawani1, Meha Qassem1, Panicos A Kyriacou1

  • 1Research Centre for Biomedical Engineering, City St George's, University of London, Northampton Square, London EC1V 0HB, UK.

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|May 4, 2026
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Summary

This review examines how computational models simulate skin pigmentation, focusing on melanin representation in optical simulations. It provides a framework for improving accuracy in devices affected by skin tone variations.

Keywords:
Monte Carlo modellingskin pigmentation

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Area of Science:

  • Biomedical Optics
  • Computational Modeling
  • Dermatology

Background:

  • Optical biomedical devices show measurement bias in dark-skinned individuals, highlighting the impact of skin pigmentation.
  • Computational models, particularly Monte Carlo (MC) simulations, are crucial for studying these effects cost-effectively.
  • Understanding melanin's role in skin optics is vital for device accuracy.

Purpose of the Study:

  • To review the application of Monte Carlo (MC) techniques in modeling skin pigmentation.
  • To analyze how melanin concentration and distribution are represented in MC models.
  • To provide a framework for researchers to enhance skin pigmentation modeling in optical simulations.

Main Methods:

  • Literature review of 50 studies using Monte Carlo (MC) simulations for skin pigmentation.
  • Analysis of methods for incorporating melanin (concentration and distribution) into MC models.
  • Evaluation of analytical equations, experimental measurements, and hybrid approaches.

Main Results:

  • Diverse methods exist for representing melanin in MC models, including analytical, experimental, and hybrid approaches.
  • The review discusses benefits and limitations of each method for modeling skin pigmentation.
  • Emerging advancements include heterogeneous melanin distribution and linking optical properties to skin color scales.

Conclusions:

  • Current MC modeling approaches for skin pigmentation vary significantly.
  • A comprehensive framework is presented to guide future research in optical simulations.
  • Improved representation of skin pigmentation is essential for accurate biomedical device performance across all skin tones.