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Updated: Dec 24, 2025
Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
Published on: October 20, 2023
Acquisition of skin characteristics by Monte Carlo modeling and evolutionary setting of parameters
José Mario Cantú Rodríguez1, Norma Patricia Puente Ramírez1, Fernando Félix Montes Tapia2
1Facultad de Ingeniería Mecánica y Eléctrica, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, México.
Background:
In this paper, we present the intelligent system to characterize optically human skin; our proposal is a non-invasive way to obtain some parameters of the skin such as the concentration of hemoglobin, water percentages, and thickness of the layers of the skin.
Material And Methods:
To achieve the objective of this work, we used an experimental technique called diffuse reflectance spectrophotometry and numerical calculations, such as the Monte Carlo method and the evolutionary algorithm Evonorm.
Results:
Five case studies were performed. In the first two cases with the Monte Carlo method, a simulated diffuse reflectance was obtained with proposed parameters in order to compare the parameters obtained by the evolutionary algorithm and the proposed parameters. In the rest of the cases, an experimental diffuse reflectance obtained from volunteers was used.
Conclusions:
Numerical modeling was presented to non-invasively detect some parameters of the skin such as hemoglobin concentration, water percentages, and the thickness of the epidermis, dermis, and hypodermis. It was proposed to use evolutionary algorithms for being robust methods for the optimization of complex problems with a reasonable computational cost.
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