Spectroscopy and Spectral Analysis, Volume. 37, Issue 4, 1074(2017)

Study for the Photon Propagation Properties in Biological Tissue Based on Frequency-Domain Near-Infrared Spectroscopy

HU Wen-yan1,2、*, LIU Hui1,2, WANG Yu-heng1,2, LI Jun-hui1,2, ZHANG Xiao-shuan3, WANG Zhong-yi1,2, and ZHAO Long-lian1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Based on the theory of photon radiative transfer in biological tissue and Feng model, we applied frequency-domain near-infrared spectroscopy to study the position changes of the little ball in the biological tissue how to influence the intensity and phase of emergent light, and learn if there are regularities of the intensity and phase changing. A simulation experiment was designed using the milk as biological tissue and a little ball as the tissue lesions. The ball was fixed to a thin rod and allowed to be moved up and down in the milk. At every step of the little ball, data of AC, DC and Phase were collected and stored in files that were then converted to waveform in Matlab. According to the results of the experiment, the variation trend of the AC and DC plot were displayed same, and the phase plot does indeed display the biphasic behavior. The valleys of the AC, DC and Phase plots were all offset to the right with the increasing of distance between light sources and detectors. And the greater degree of ball deviating from the light sources and detectors, the smaller effects that the ball acted on intensity and phase detected. With the discussion of the results, we could finally delve into the heart of this set of experiments, which was to show that the photons transmission was confirmed concerning the theory of radiative transfer. This research also established foundation to detect the tissue parameters and locate the position of tissue lesions by frequency-domain near-infrared spectroscopy.

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    HU Wen-yan, LIU Hui, WANG Yu-heng, LI Jun-hui, ZHANG Xiao-shuan, WANG Zhong-yi, ZHAO Long-lian. Study for the Photon Propagation Properties in Biological Tissue Based on Frequency-Domain Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(4): 1074

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    Paper Information

    Received: May. 25, 2016

    Accepted: --

    Published Online: Jun. 20, 2017

    The Author Email: Wen-yan HU (andreafh@foxmail.com)

    DOI:10.3964/j.issn.1000-0593(2017)04-1074-07

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