TITLE:
FEM Model of the Temperature Distribution in the Brain during Enhanced Infrared Neural Stimulation Using Nanoparticles
AUTHORS:
Rui Zhou, Haoling Chen, Zongxia Mou
KEYWORDS:
Enhanced Infrared Neural Stimulation, Pennes Bioheat Equation, Finite Element Method, Temperature Distribution, Nanoparticles
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.7 No.2,
February
22,
2019
ABSTRACT: Objectives: Enhanced infrared neural
stimulation (EINS) using nanoparticles is a new research hotspot. In this
paper, the numerical modeling of the interaction between a light source and
brain tissue during EINS is studied. Materials and Methods: This model
is built with the finite element method (FEM) to mimic the propagation and
absorption of light in brain tissue with EINS. Only the thermal change is
considered in this model since the photothermal effect is the main mechanism of
EINS. The temperature response of brain irradiation is governed by the
extensively used Pennes’ bio-heat equation in a multilayer model. Results: The temperature distribution in the brain under laser irradiation is
determined. And the relationships between the brain tissue
temperature and the three factors (the laser pulse time, the laser energy and
the enhanced absorption coefficient of the tissue caused by the nanoparticles)
are analyzed. Conclusions: The results indicate that the brain tissue is easier
to warm up with the enhancement of nanoparticles and parameters of the laser
can alter the temperature increase of the brain tissue. These findings offer
a theoretical basis for future animal experiments.