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DIRECTED
ENERGY
PROFESSIONAL
SOCIETY
Abstract: 25-Systems-110
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UNCLASSIFIED, PUBLIC RELEASE
STOCHASTIC MODELING OF NEAR INFRARED LASER ABLATION ON A GOAT PHANTOM
High-energy laser radiation poses several health risks to warfighters such as dermal burns and deep tissue damage. The development of accurate modeling of laser-tissue interactions is critical for guiding experimental research and developing preventative measures to mitigate laser-induced bioeffects. Previous studies have demonstrated the potential of Monte Carlo methods to determine accurate radiation dosages, which can then be coupled to Penn’s bioheat equation to predict change in temperature and potential bioeffects. In this work, we enhance the robustness of laser ablation simulations by incorporating uncertainty quantification into the optical and thermal modeling pipeline. Using the Monte Carlo eXtreme (MCX) photon transport software, we simulated laser exposure on a goat phantom, while performing parameter sweeps of laser width, source position, and source orientation. To account for variability in the optical properties of biological tissues, we introduced random variations in the material parameters and analyzed the statistics of the fluence rate and energy. In our simulations, we found that the energy distribution exhibited a higher voxel-wise variability (coefficient of variation of ~30 %) than the irradiance distribution (coefficient of variation of ~20 %) when accounting for random variations in the optical properties. Using the deposited energy results, we estimated the changes in temperature and compared our predicted temperature ranges with experimental results. Our findings demonstrate the value of Monte Carlo modeling in capturing the range of possible biological responses to laser exposure. Future development of our simulation pipelines offers a path toward reducing the reliance on animal experiments.
UNCLASSIFIED, PUBLIC RELEASE
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