Separation of Tongue Coat and Tongue Proper Based on Optical Spectrum Dissimilarity Index Using Double-Wavelength Ratio
LIU Ming1, ZHAO Jing2*, WU Tai-xia4, ZHANG Li-fu4, TANG Hong-ying5, LU Xiao-zuo2, LI Gang3
1. Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China
2. Institute of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
3. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China
4. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
5. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China
Abstract：Quantitative description of the tongue proper and tongue coat isperceivedas the important content for tongue diagnosis in traditional Chinese medicine, which directly affects the accuracy of clinical diagnosis. A new method fortongue proper and tongue coat separationusing spectrum dissimilarity index (SDI) by double-wavelength ratio is presented, which isbased on hyper spectroscopy and theory of biomedical photonics. The 343 wavelengths of hyperspectral tongue information of subjects is obtained in the range of 371.200 to 992.956 nm. Moreover, the hyperspectral data of 15 subjects is selected randomly for spectral characteristics analysis. By comparison with the spectral curve of the wavelength range, it can be seen that optical spectrum characteristic dissimilarity between tongue proper and tongue coat is resemble the optical characteristic of hemoglobin, since the surface of the tongue is full of blood vessels and the absorption of water is small in the range of 500 to 750 nm. In addition, double wavelength optic reflection ratio is used to extract optical spectrum characteristic dissimilarity index of tongue proper and tongue coat based on spectral absorption features of hemoglobin atthe wavelength of 573 and 700 nm, finally tongue proper and tongue coat is separated. It is can be seen that the SDI with tongue proper and tongue coat of one subject is a certain difference and has the obvious difference index line between tongue proper and tongue coat. The experiment results show that spectrum dissimilarity indexis very helpful for tongue coat and tongue proper separation in traditional Chinese medicine, and this new analysis approach may providean objective standard for TCM tongue diagnosis.
刘 明，赵 静，吴太夏，张立福，汤宏颖，陆小左，李 刚. 双波长比值光谱差异度指数用于人体舌苔舌质分离[J]. 光谱学与光谱分析, 2018, 38(06): 1798-1803.
LIU Ming, ZHAO Jing, WU Tai-xia, ZHANG Li-fu, TANG Hong-ying, LU Xiao-zuo, LI Gang. Separation of Tongue Coat and Tongue Proper Based on Optical Spectrum Dissimilarity Index Using Double-Wavelength Ratio. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1798-1803.
[1] Winton-Brown T T, Ting A, Mocellin R, et al. American Journal of Neuroradiology, 2016，37(5)：774.
[2] Xie J Z, Tarczy-Hornoch K, Lin J, et al. Ophthalmology, 2014, 121(7): 1469.
[3] Zhang B, Han Z. Evidence-based Complementary and Alternative Medicine, 2015, 2015(4): 722.
[4] Zhuo L, Zhang P, Qu P, et al. Neurocomputing, 2016, 174: 815.
[5] Bioucas-Dias J M, Plaza A, Dobigeon N, et al. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2012, 5(2): 354.
[6] Kiyotoki S, Nishikawa J, Okamoto T, et al. Journal of Biomedical Optics, 2013, 18(2): 026010.
[7] Lu G, Halig L, Wang D, et al. Journal of Biomedical Optics, 2014, 19(10): 106004.
[8] Sumpio B, Chin J, Citoni G, et al. Journal of Vascular Surgery, 2016, 63(1): 293.
[9] Miclos S, Parasca S V, Calin M A, et al. Biomedical Optics Express, 2015, 6(9): 3420.
[10] Jansen K, Wu M, van der Steen A F W, et al. Photoacoustics, 2014, 2(1): 12.
