Application of near infrared (NIR) spectroscopy for determining the thickness of articular cartilage


Autoria(s): Afara, Isaac; Singh, Sanjleena; Oloyede, Adekunle
Data(s)

01/01/2013

Resumo

The determination of the characteristics of articular cartilage such as thickness, stiffness and swelling, especially in the form that can facilitate real-time decisions and diagnostics is still a matter for research and development. This paper correlates near infrared spectroscopy with mechanically measured cartilage thickness to establish a fast, non-destructive, repeatable and precise protocol for determining this tissue property. Statistical correlation was conducted between the thickness of bovine cartilage specimens (n = 97) and regions of their near infrared spectra. Nine regions were established along the full absorption spectrum of each sample and were correlated with the thickness using partial least squares (PLS) regression multivariate analysis. The coefficient of determination (R2) varied between 53 and 93%, with the most predictive region (R2 = 93.1%, p < 0.0001) for cartilage thickness lying in the region (wavenumber) 5350–8850 cm−1. Our results demonstrate that the thickness of articular cartilage can be measured spectroscopically using NIR light. This protocol is potentially beneficial to clinical practice and surgical procedures in the treatment of joint disease such as osteoarthritis.

Identificador

http://eprints.qut.edu.au/63611/

Publicador

Elsevier Ltd

Relação

DOI:10.1016/j.medengphy.2012.04.003

Afara, Isaac , Singh, Sanjleena, & Oloyede, Adekunle (2013) Application of near infrared (NIR) spectroscopy for determining the thickness of articular cartilage. Medical Engineering & Physics, 35(1), pp. 88-95.

Fonte

School of Chemistry, Physics & Mechanical Engineering; Institute of Health and Biomedical Innovation; Science & Engineering Faculty

Palavras-Chave #020500 OPTICAL PHYSICS #020503 Nonlinear Optics and Spectroscopy #090303 Biomedical Instrumentation #090304 Medical Devices #Cartilage thickness #Near Infrared (NIR) Spectroscopy #Partial Least Squares (PLS) #Calibration #Prediction
Tipo

Journal Article