Spectroscopy and Spectral Analysis, Volume. 36, Issue 7, 2031(2016)

Current Status and Recent Advances in Research and Application of THz Technology in Articular Cartilage Detection

MA Yu-ting1,2、*, ZHANG Jin1, SHI Chang-cheng2, LI Wei2, HAN Xiao-hui1, PENG Xiao-yu2, WEI Dong-shan2, DU Chun-lei2, and CUI Hong-liang1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    Osteoarthritis is a common arthritis disease caused by cartilage tissue damage and degeneration, which is one of the large epidemics that affect human health. The early detection of the pathological changes of articular cartilage can greatly improve the cure rate of disease, but the relevant clinical diagnosis technology has not been developed. In recent years, the applications and researches of terahertz technology are increasingly valued and it has drawn great attention in the field of medicine. Compared with traditional methods, the terahertz radiation is low-energy and non-ionizing whose spectral-fingerprinting capability is well-known in the biological world. Meanwhile, THz technology has a great potential in diagnosis of articular cartilage early degeneration. This paper briefly introduces the physiological and pathological conditions of the articular cartilage, the current clinical techniques of articular cartilage detection. It mainly summarizes the terahertz technology used for detecting articular cartilage, including detection of animal and human cartilage respectively. At last, the challenges and development prospects of terahertz technology in articular cartilage detection are discussed.

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    MA Yu-ting, ZHANG Jin, SHI Chang-cheng, LI Wei, HAN Xiao-hui, PENG Xiao-yu, WEI Dong-shan, DU Chun-lei, CUI Hong-liang. Current Status and Recent Advances in Research and Application of THz Technology in Articular Cartilage Detection[J]. Spectroscopy and Spectral Analysis, 2016, 36(7): 2031

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    Paper Information

    Received: May. 21, 2015

    Accepted: --

    Published Online: Dec. 23, 2016

    The Author Email: Yu-ting MA (mayuting@cigit.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2016)07-2031-05

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