Articular cartilage optical properties in the near-infrared (NIR) spectral range vary with depth and tissue integrity

被引:8
作者
Khan, Bilour [1 ]
Kafian-Attari, Iman [1 ]
Nippolainen, Ervin [1 ]
Shaikh, Rubina [1 ]
Semenov, Dmitry [2 ]
Hauta-Kasari, Markku [2 ]
Toyras, Juha [1 ,3 ]
Afara, Isaac O. [1 ,3 ]
机构
[1] Univ Eastern Finland, Dept Appl Phys, Yliopistonranta 1, Kuopio 70120, Finland
[2] Univ Eastern Finland, Sch Comp, Lamsikatu 15, Joensuu 80110, Finland
[3] Univ Queensland, Sch Informat Technol & Elect Engn, St Lucia, Qld 4072, Australia
来源
BIOMEDICAL OPTICS EXPRESS | 2021年 / 12卷 / 10期
基金
芬兰科学院; 欧盟地平线“2020”;
关键词
SPECTROSCOPIC EVALUATION; SCATTERING PROPERTIES; ABSORPTION-SPECTRA; SKIN; INDENTATION; CHONDROCYTE; PARAMETERS; THICKNESS; DEFECTS; WATER;
D O I
10.1364/BOE.430053
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Optical properties of biological tissues in the NIR spectral range have demonstrated significant potential for in vivo diagnostic applications and are critical parameters for modelling light interaction in biological tissues. This study aims to investigate the optical properties of articular cartilage as a function of tissue depth and integrity. The results suggest consistent wavelength-dependent variation in optical properties between cartilage depth-wise zones, as well as between healthy and degenerated tissue. Also, statistically significant differences (p<0.05) in both optical properties were observed between the different cartilage depth-wise zones and as a result of tissue degeneration. When taken into account, the outcome of this study could enable accurate modelling of light interaction in cartilage matrix and could provide useful diagnostic information on cartilage integrity. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
引用
收藏
页码:6066 / 6080
页数:15
相关论文
共 59 条
  • [1] Application of near infrared (NIR) spectroscopy for determining the thickness of articular cartilage
    Afara, I.
    Singh, S.
    Oloyede, A.
    [J]. MEDICAL ENGINEERING & PHYSICS, 2013, 35 (01) : 88 - 95
  • [2] Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score
    Afara, I.
    Prasadam, I.
    Crawford, R.
    Xiao, Y.
    Oloyede, A.
    [J]. OSTEOARTHRITIS AND CARTILAGE, 2012, 20 (11) : 1367 - 1373
  • [3] Load-unloading response of intact and artificially degraded articular cartilage correlated with near infrared (NIR) absorption spectra
    Afara, I. O.
    Singh, S.
    Oloyede, A.
    [J]. JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, 2013, 20 : 249 - 258
  • [4] Characterization of connective tissues using near-infrared spectroscopy and imaging
    Afara, Isaac O.
    Shaikh, Rubina
    Nippolainen, Ervin
    Querido, William
    Torniainen, Jari
    Sarin, Jaakko K.
    Kandel, Shital
    Pleshko, Nancy
    Toyras, Juha
    [J]. NATURE PROTOCOLS, 2021, 16 (02) : 1297 - 1329
  • [5] Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy
    Afara, Isaac O.
    Sarin, Jaakko K.
    Ojanen, Simo
    Finnila, Mikko A. J.
    Herzog, Walter
    Saarakkala, Simo
    Korhonen, Rami K.
    Toyras, Juha
    [J]. CELLULAR AND MOLECULAR BIOENGINEERING, 2020, 13 (03) : 219 - 228
  • [6] Monitoring osteoarthritis progression using near infrared (NIR) spectroscopy
    Afara, Isaac O.
    Prasadam, Indira
    Arabshahi, Zohreh
    Xiao, Yin
    Oloyede, Adekunle
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [7] Optical absorption spectra of human articular cartilage correlate with biomechanical properties, histological score and biochemical composition
    Afara, Isaac O.
    Hauta-Kasari, Markku
    Jurvelin, Jukka S.
    Oloyede, Adekunle
    Toyras, Juha
    [J]. PHYSIOLOGICAL MEASUREMENT, 2015, 36 (09) : 1913 - 1928
  • [8] Near infrared (NIR) absorption spectra correlates with subchondral bone micro-CT parameters in osteoarthritic rat models
    Afara, Isaac Oluwaseun
    Prasadam, Indira
    Crawford, Ross
    Xiao, Yin
    Oloyede, Adekunle
    [J]. BONE, 2013, 53 (02) : 350 - 357
  • [9] [Anonymous], 2014, Burden of disease from Household Air Pollution for 2012
  • [10] Label-free optical imaging technologies for rapid translation and use during intraoperative surgical and tumor margin assessment
    Boppart, Stephen A.
    Brown, J. Quincy
    Farah, Camile S.
    Kho, Esther
    Marcu, Laura
    Saunders, Christobel M.
    Sterenborg, Henricus J. C. M.
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2018, 23 (02)