Surrogate-based optimization of thermal damage to living biological tissues by laser irradiation
Medical Physics
2019-06-25 v2
Abstract
The surrogate-based analysis and optimization of thermal damage in living biological tissue by laser irradiation are discussed in this paper. Latin Hypercube Sampling (LHS) and Response Surface Model (RSM) are applied to study surrogate-based optimization of thermal damage in tissue using a generalized dual phase lag model. Response value of high temperature as a function of input variables and relationship of maximum temperature and thermal damage as a function of input variables are investigated. Comparison of SBO model and simulation results for different sample sizes are examined. The results show that every input variable individually has quadratic response of maximum temperature and maximum thermal damage in highly absorbing tissues.
Keywords
Cite
@article{arxiv.1806.05590,
title = {Surrogate-based optimization of thermal damage to living biological tissues by laser irradiation},
author = {Nazia Afrin and Yuwen Zhang},
journal= {arXiv preprint arXiv:1806.05590},
year = {2019}
}