人体腿部四层结构的红外热成像有限元分析

为研究人体红外热成像和体内肿瘤热源的关联, 本文构建了包括骨层、肌肉层、脂肪层、皮肤层的人体腿部有限元模型。根据体内温度沿径向分布的特点, 给出了各区域内动脉血液灌注热生成率随径向坐标变化的情况, 解决了有限元建模中动脉血灌注热生成率随温度变化的非线性问题。进而用有限元方法数值计算了不同尺寸和不同深度的体内肿瘤所带来的温度变化。结果表明: 在所研究的肿瘤尺寸范围内, 肿瘤尺寸越小, 体内温度提升越高,体表的峰值温度越高, 体表温度分布半峰宽越窄, 温度变化越陡峭。对于特定尺寸的肿瘤, 肿瘤越深, 体内峰值温度越高,体表的峰值温度越低, 体表温度分布半峰宽越宽, 温度变化越平缓。

Abstract

To investigate the relevancy of infrared thermal imaging and tumors inside human body, the finite element model of human thigh with four-layers, including bone, muscle, fat and skin layers, is established in this paper. Based on the characteristic that temperature varies along radial direction inside the body, the heat generation rate of blood perfusion as a function of polar radius in each layer is given. By this method the nonlinear problem of temperature-dependence of the heat generation rate of blood perfusion in finite element analysis is solved. Then the temperature distributions caused by the inside tumor with different sizes and at different depths are numerically calculated by finite element analysis. It can be concluded that in the given range of tumor diameters a smaller tumor yields larger temperature increases inside the body, higher peak temperature and narrower FWHM(Full Width at Half Maximum) of the temperature distribution on the skin surface. It is also shown that with specific diameter, tumors located deeper yield higher peak temperature inside the body, and lower peak temperature and wider FWHM on the skin surface.

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刘宏岩, 孙强. 人体腿部四层结构的红外热成像有限元分析[J]. 中国光学, 2018, 11(2): 237. LIU Hong-yan, SUN Qiang. Finite element analysis of infrared thermal imaging for four-layers structure of human thigh[J]. Chinese Optics, 2018, 11(2): 237.

人体腿部四层结构的红外热成像有限元分析

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