频域近红外光谱法研究生物组织内部光子传输特性

发布时间：2018-06-18 13:15

本文选题：频域近红外光谱法 + 生物组织　；参考：《光谱学与光谱分析》2017年04期

【摘要】：基于光子在生物组织中的辐射传输理论以及Feng模型,应用频域近红外光谱法研究生物组织中异质体位置的变化,对出射光的光强和相位变化的影响及规律。设计了一仿真实验,用牛奶代替强散射性质的生物组织,并在牛奶中放置一个高度可控的具有一定吸收系数和散射系数的小球。移动小球在牛奶中的高度,检测出射光的交流幅度AC、直流光强DC和相位延迟Phase的值,绘制小球位于不同深度时AC,DC和Phase的曲线,并探讨其变化规律。结果表明,随着小球在牛奶中深度的变化,光强AC,DC和相位Phase呈现一定的相关性;随着光源和检测器之间距离的增加,检测到的光强和相位曲线的波谷点均向右偏移;当小球偏离光源和检测器越远,对检测到的光强和相位的影响越小。验证了光子在生物组织中的传输规律,为用频域近红外光谱法进行组织光学参数的检测及组织中异质体位置的定位奠定了基础。
[Abstract]:Based on the radiation transfer theory of photons in biological tissues and Feng model, the change of heterogeneity position in biological tissues is studied by using the frequency domain near infrared spectroscopy (NIR) method, and the influence and regularity of the light intensity and phase change on the light intensity and phase of the emitted light are studied. A simulation experiment was designed in which milk was used to replace the biological tissue with strong scattering properties and a highly controllable small ball with certain absorption and scattering coefficients was placed in the milk. By moving the height of the ball in milk, the AC amplitude, DC intensity DC and phase delay phase were detected, and the curves of AC DC and phase were drawn when the ball was located at different depths, and the variation of AC DC and phase was discussed. The results show that with the change of the depth of the ball in milk, there is a certain correlation between the light intensity ACDC and the phase, and with the increase of the distance between the light source and the detector, the detected light intensity and the wave valley point of the phase curve are all shifted to the right. When the sphere deviates from the light source and detector, the effect on the detected intensity and phase is smaller. The transmission of photons in biological tissues is verified, which lays a foundation for the detection of optical parameters of tissues and the location of heterogeneity in tissues by frequency domain near infrared spectroscopy (NIR).
【作者单位】：中国农业大学信息与电气工程学院;教育部现代精细农业系统集成研究重点实验室;食品质量与安全北京实验室;
【基金】：国家自然科学基金项目(31101289)资助
【分类号】：Q6-3;O657.33

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