Biospeckle local contrast analysis for surface roughness study of articular cartilage

Youssef, Doaa; El-Azab, Jala; Kandel, Hamed; Hassab-Elnaby, Salah; El-Ghandoor, H.

doi:10.1016/j.ijleo.2019.02.026

Cited by 12 publications

(2 citation statements)

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“…Thus, the nanoscale average surface roughness of articular cartilage is an important symptom of osteoarthritis for the reason that the earliest sign of osteoarthritis is fibrillation of the articular cartilage surface; it has to be measured quantitatively. Yet, the clinical diagnostic tools, such as magnetic resonance imaging, computer tomography, arthroscopy, and plain x-ray provide a qualitative investigation of osteoarthritis and cannot detect osteoarthritis in the early stage [ 2 , 4 , 11 ]. Therefore, pre-clinical methods have appeared whereas they play a crucial role in investigating the integrity of articular cartilage tissue surface.…”

Section: Introductionmentioning

confidence: 99%

“…By employing the gray-level co-occurrence matrix of the speckle image, the authors could measure the surface roughness [58][59][60]. A local contrast analysis model was proposed to extract three parameters from the biospeckle images for the evaluation of the surface roughness [11]. By Hurst exponent method, Peron et al [30], Sampaio et al [61], and Martinez et al [62] analyzed the speckle images.…”

Section: Introductionmentioning

confidence: 99%

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Nanoscale quantitative surface roughness measurement of articular cartilage using second-order statistical-based biospeckle

2021

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Quantitative measurement of nanoscale surface roughness of articular cartilage tissue is significant to assess the surface topography for early treatment of osteoarthritis, the most common joint disease worldwide. Since it was not established by clinical diagnostic tools, the current studies have been suggesting the use of alternative diagnostic tools using pre-clinical methods. This study aims to measure the nanoscale surface roughness of articular cartilage tissue utilizing biospeckle which is used as a non-destructive and non-contact optical imaging technique. An experimental setup was implemented to capture biospeckle images from twelve cross-section areas of articular cartilage tissue gathered from bovine knee joints at 632 nm wavelength laser radiation. Then, to analyze the biospeckle image, a second-order statistical-based method was proposed through the combination of 308 highly correlated statistical features extracted from implemented gray-level co-occurrence matrices by employing principal component analysis. The result indicated that the measurement of the nanoscale surface roughness based on the first principal component only is able to provide accurate and precise quantitative measurement of early signs of articular cartilage degeneration up to 2500 nm.

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Section: Introductionmentioning

confidence: 99%