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选择性激光与组织相互作用中的温度分布

Temperature distribution in selective laser-tissue interaction.

作者信息

Crochet Jared J, Gnyawali Surya C, Chen Yichao, Lemley Evan C, Wang Lihong V, Chen Wei R

机构信息

University of Central Oklahoma, Department of Physics and Engineering, Biomedical Engineering Program, Edmond, 73034, USA.

出版信息

J Biomed Opt. 2006 May-Jun;11(3):34031. doi: 10.1117/1.2204615.

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.

摘要

利用染料增强的选择性光热相互作用已被证明在将周围组织损伤降至最低并将能量传递至靶组织方面是有效的。在激光照射期间,靶组织及其周围组织中的光子吸收和热能扩散过程至关重要。此类信息有助于选择适当的操作参数,如染料浓度、激光功率和曝光时间,以实现最佳治疗效果。结合用于能量吸收的蒙特卡罗方法和用于热扩散的有限差分方法,获得了染料增强激光光热相互作用中靶组织和周围组织的温度分布。模拟中采用了不同的组织构型和染料增强,还使用了不同的入射光束尺寸来确定各种组织构型的最佳光束尺寸。我们的结果表明,本研究中开发的算法可以预测激光照射的热结果。我们的模拟表明,通过适当增强靶组织的吸收,可以有效控制靶组织和周围组织中的温度。该方法可用于优化激光光热相互作用的病变治疗。它还可能为癌症治疗中的激光免疫疗法提供指导,因为免疫反应被认为与组织温度变化有关。

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