Temperature distribution in selective laser-tissue interaction
Abstract
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.
Additional Information
© 2006 SPIE. Paper 05345R received Nov. 21, 2005; revised manuscript received Feb. 6, 2006; accepted for publication Feb. 6, 2006; published online May 11, 2006. This work was supported in part by a grant from the College of Graduate Studies and Research of the University of Central Oklahoma and by a grant from the National Institute of Health (P20 RR016478 from the Ideal Networks for Biomedical Research Excellence (INBRE) Program of the National Center for Research Resources).Attached Files
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Additional details
- Eprint ID
- 72161
- Resolver ID
- CaltechAUTHORS:20161118-112058482
- University of Central Oklahoma
- NIH
- P20 RR016478
- Created
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2016-11-18Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field