Temperature distribution in selective laser-tissue interaction.
Selective photothermal interaction using dye enhancement has proven to be effective in minimizing surrounding tissue damage and delivering energy to target tissue. During laser irradiation, the process of photon absorption and thermal energy diffusion in the target tissue and its surrounding tissue are crucial. Such information allows the selection of proper operating parameters such as dye concentrations, laser power, and exposure time for optimal therapeutic effect. Combining the Monte Carlo method for energy absorption and the finite difference method for heat diffusion, the temperature distributions in target tissue and surrounding tissue in dye enhanced laser photothermal interaction are obtained. Different tissue configurations and dye enhancement are used in the simulation, and different incident beam sizes are also used to determine optimum beam sizes for various tissue configurations. Our results show that the algorithm developed in this study could predict the thermal outcome of laser irradiation. Our simulation indicates that with appropriate absorption enhancement of the target tissue, the temperature in the target tissue and in the surrounding tissue can be effectively controlled. This method can be used for optimization of lesion treatment using laser photothermal interactions. It may also provide guidance for laser immunotherapy in cancer treatment, since the immunological responses are believed to be related to tissue temperature changes.
Crochet
Jared J
JJ
University of Central Oklahoma, Department of Physics and Engineering, Biomedical Engineering Program, Edmond, 73034, USA.
Gnyawali
Surya C
SC
Chen
Yichao
Y
Lemley
Evan C
EC
Wang
Lihong V
LV
Chen
Wei R
WR
D000818:Animals; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004735:Energy Transfer / Q000528:radiation effects; D006801:Humans; D006979:Hyperthermia, Induced / Q000379:methods*; D053685:Laser Therapy; D008954:Models, Biological; D009010:Monte Carlo Method; D009369:Neoplasms / Q000503:physiopathology* / Q000628:therapy*; D013696:Temperature