|
|
|
|
|
|
| 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.
|
|
Received: 2016-11-15
Accepted: 2017-05-10
|
|
|
|
Corresponding Authors:
ZHAO Jing
E-mail: ydangliu@163.com
|
|
[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. |
| [1] |
WU Hu-lin1, DENG Xian-ming1*, ZHANG Tian-cai1, LI Zhong-sheng1, CEN Yi2, WANG Jia-hui1, XIONG Jie1, CHEN Zhi-hua1, LIN Mu-chun1. A Revised Target Detection Algorithm Based on Feature Separation Model of Target and Background for Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 283-291. |
| [2] |
DU Zhi-heng1, 2, 3, HE Jian-feng1, 2, 3*, LI Wei-dong1, 2, 3, WANG Xue-yuan1, 2, 3, YE Zhi-xiang1, 2, 3, WANG Wen1, 2, 3. A New EDXRF Spectral Decomposition Method for Sharpening Error Wavelets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1719-1724. |
| [3] |
YUAN Shu, WU Ding*, WU Hua-ce, LIU Jia-min, LÜ Yan, HAI Ran, LI Cong, FENG Chun-lei, DING Hong-bin. Study on the Temporal and Spatial Evolution of Optical Emission From the Laser Induced Multi-Component Plasma of Tungsten Carbide Copper Alloy in Vacuum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1394-1400. |
| [4] |
CHEN Feng-yi, ZHANG Yu-gui*, WANG Wei-gang, XU Peng-mei. Research on Asteroid Surface Temperature Inversion Method Based on Wide Wavelength Band Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1162-1167. |
| [5] |
HU Xuan1, CHENG Zi-hui1*, ZHANG Shu-chao2, SHI Lei2. Matrix Separation-Determination of Rare Earth Oxides in Bauxite by
Inductively Coupled Plasma-Atomic Emission Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3130-3134. |
| [6] |
ZHANG Xuan1, 2, 3, WANG Chang-hua1, 2, HU Fang-fei1, 2, MO Shu-min1, 2, LI Ji-dong1, 2, 3*. Determination of Nb and Re in High Purity Tungsten by Precipitation Separation-Inductively Coupled Plasma Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2169-2174. |
| [7] |
WU Lian-hui1, 2, 3, HE Jian-feng1, 2, 3*, ZHOU Shi-rong2, 3, WANG Xue-yuan1, 2, YE Zhi-xiang2, 3. A Multi-Derivation-Spline Wavelet Analysis Method for Low Atomic Number Element EDXRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2530-2535. |
| [8] |
LIAN Xiao-qin1, 2，LIU Yu1, 2，CHEN Yan-ming1, 2，HUANG Jing1, 2，GONG Yong-gang1, 2，HUO Liang-sheng1, 2. Research on Multi-Peak Spectral Line Separation Method Based on Adaptive Particle Swarm Optimization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1452-1457. |
| [9] |
YIN Xian-hua1, 2, LIU Yu1, 2, FENG Mu-lin1, 2, LI An3, MO Wei1*. Separation of Tire Rubber Overlapping Terahertz Spectra Using Non-Negative Matrix Factorization of Spectral Feature Constraints[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3736-3742. |
| [10] |
ZENG Jian-hua, MENG Yan, LIU Lin-lin, YANG Yang, LI Mei-ying, WANG Zi-yue, ZHU Xiu-qing*, SHI Yan-guo*. Characterization and Effects of pH on the Conformation of Hemp Protein Isolate Based on Multi-Spectroscopic Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3748-3754. |
| [11] |
ZHAO Wei1, BAO Ni-sha1,2*, LIU Shan-jun1,2, MAO Ya-chun1,2, XIAO Dong2,3. Plant Litter Effect of the Soil Organic Carbon Estimation and Unmixing Method Based on the Visible-Near Infrared Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2188-2193. |
| [12] |
HUANG Rui1, LI Yu1, HE Wen-xuan1*, LU Xian-yong2, CHEN Wei-jian1, CHEN Ting1, ZHANG Yan-jie1. A Quick and Simple Method for Extracting Unsaponifiables of Vegetable Oil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1852-1856. |
| [13] |
ZHOU Shi-rong2,3, HE Jian-feng1,2,3*, REN Yin-quan2,3, WANG Xue-yuan1,2, YE Zhi-xiang2,3. Research on a Decomposing Method of Low-Resolution Overlapping Peaks in X-Ray Fluorescence Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(04): 1221-1226. |
| [14] |
SHI Hai-xia1, XU Qing1, 2, WANG Han2, 3, LIU You-jiang2, LI Shan2, HU Jun2, 3, LI Yue1, 2*, CHEN Chi-lai2*. Study on the Effect of He-N2 Ratio in Mixed Carrier Gas on Separation of VOC Aliasing Peaks in FAIMS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2713-2718. |
| [15] |
ZHAO Yao-xia, HAN Yan, CHEN Ping*. Blind Separation of Multi-Voltage Projection Sequence Based on Fundamental Effect Decomposition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2763-2768. |
|
|
|
|
