Quantitative study of articular cartilage based on greyscale assessment using low-field MRI

Osteoarthritis is a degenerative disorder that changes the biomechanical properties of articular cartilage in its development phase. MRI has become the diagnosing tool used widely to examine the articular cartilage in the synovial joint since it can provide excellent soft-tissue contrast. However, m...

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Main Authors: Ibramsa, Rizwana Seeni, Abd. Latif, Mohd. Juzaila, Zakaria, Mohamad Shukri, Harun, Muhamad Noor, Mahmud, Jamaluddin
Format: Article
Published: Insight Society 2022
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Online Access:http://eprints.utm.my/id/eprint/98651/
http://dx.doi.org/10.18517/ijaseit.12.1.13107
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.986512023-01-30T04:06:48Z http://eprints.utm.my/id/eprint/98651/ Quantitative study of articular cartilage based on greyscale assessment using low-field MRI Ibramsa, Rizwana Seeni Abd. Latif, Mohd. Juzaila Zakaria, Mohamad Shukri Harun, Muhamad Noor Mahmud, Jamaluddin TJ Mechanical engineering and machinery Osteoarthritis is a degenerative disorder that changes the biomechanical properties of articular cartilage in its development phase. MRI has become the diagnosing tool used widely to examine the articular cartilage in the synovial joint since it can provide excellent soft-tissue contrast. However, most diagnoses were conducted using clinical high-field MRI, while the low-field MRI was only used to obtain the geometrical data. This study aims to quantitatively assess the biomechanical properties of cartilage tissue using a low-field MRI system based on the image greyscale assessment. The articular cartilage image of intact bovine hip joints was obtained using 0.18 T MRI. The MRI images were characterized based on the intensity of the greyscale. The biomechanical properties of elastic modulus and permeability of cartilage were subsequently characterized by incorporating the creep indentation test data with the computational finite element model. Further correlation analyses were performed to examine the relationship between the greyscale of MRI images and biomechanical properties of elastic modulus and permeability of the cartilage. The cartilage greyscale was found to be strongly associated with the cartilage biphasic elastic modulus (r = 0.85), while the permeability (r = -0.51) was observed to have a moderate correlation with the greyscale. These findings show the capability of low-field MRI to produce an image that correlates with the articular cartilage's biomechanical properties, which could be adapted as a biomarker to detect osteoarthritis earlier than usual. Insight Society 2022 Article PeerReviewed Ibramsa, Rizwana Seeni and Abd. Latif, Mohd. Juzaila and Zakaria, Mohamad Shukri and Harun, Muhamad Noor and Mahmud, Jamaluddin (2022) Quantitative study of articular cartilage based on greyscale assessment using low-field MRI. International Journal on Advanced Science, Engineering and Information Technology, 12 (1). pp. 231-236. ISSN 2088-5334 http://dx.doi.org/10.18517/ijaseit.12.1.13107 DOI: 10.18517/ijaseit.12.1.13107
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Ibramsa, Rizwana Seeni
Abd. Latif, Mohd. Juzaila
Zakaria, Mohamad Shukri
Harun, Muhamad Noor
Mahmud, Jamaluddin
Quantitative study of articular cartilage based on greyscale assessment using low-field MRI
description Osteoarthritis is a degenerative disorder that changes the biomechanical properties of articular cartilage in its development phase. MRI has become the diagnosing tool used widely to examine the articular cartilage in the synovial joint since it can provide excellent soft-tissue contrast. However, most diagnoses were conducted using clinical high-field MRI, while the low-field MRI was only used to obtain the geometrical data. This study aims to quantitatively assess the biomechanical properties of cartilage tissue using a low-field MRI system based on the image greyscale assessment. The articular cartilage image of intact bovine hip joints was obtained using 0.18 T MRI. The MRI images were characterized based on the intensity of the greyscale. The biomechanical properties of elastic modulus and permeability of cartilage were subsequently characterized by incorporating the creep indentation test data with the computational finite element model. Further correlation analyses were performed to examine the relationship between the greyscale of MRI images and biomechanical properties of elastic modulus and permeability of the cartilage. The cartilage greyscale was found to be strongly associated with the cartilage biphasic elastic modulus (r = 0.85), while the permeability (r = -0.51) was observed to have a moderate correlation with the greyscale. These findings show the capability of low-field MRI to produce an image that correlates with the articular cartilage's biomechanical properties, which could be adapted as a biomarker to detect osteoarthritis earlier than usual.
format Article
author Ibramsa, Rizwana Seeni
Abd. Latif, Mohd. Juzaila
Zakaria, Mohamad Shukri
Harun, Muhamad Noor
Mahmud, Jamaluddin
author_facet Ibramsa, Rizwana Seeni
Abd. Latif, Mohd. Juzaila
Zakaria, Mohamad Shukri
Harun, Muhamad Noor
Mahmud, Jamaluddin
author_sort Ibramsa, Rizwana Seeni
title Quantitative study of articular cartilage based on greyscale assessment using low-field MRI
title_short Quantitative study of articular cartilage based on greyscale assessment using low-field MRI
title_full Quantitative study of articular cartilage based on greyscale assessment using low-field MRI
title_fullStr Quantitative study of articular cartilage based on greyscale assessment using low-field MRI
title_full_unstemmed Quantitative study of articular cartilage based on greyscale assessment using low-field MRI
title_sort quantitative study of articular cartilage based on greyscale assessment using low-field mri
publisher Insight Society
publishDate 2022
url http://eprints.utm.my/id/eprint/98651/
http://dx.doi.org/10.18517/ijaseit.12.1.13107
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