Correlation of Biomechanical Properties and Grayscale of Articular Cartilage using Low-Field Magnetic Resonance Imaging

  • Abstract
  • Keywords
  • References
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  • Abstract

    Osteoarthritis is a joint disease that caused by the progression of degenerative articular cartilage tissue. The degeneration of the articular cartilage resulted in alteration of the biomechanical properties. Magnetic resonance imaging (MRI) has become the most potential imaging technique to assess the condition of the articular cartilage. However, most of the previous studies of articular cartilage were performed using high-field MRI units. Therefore, this study aimed to examine the correlation between the biomechanical properties of articular cartilage and the image grayscale using low-field MRI. Cartilage specimens extracted from bovine femoral head were scanned using 0.2 T MRI to obtain the cartilage image. The MRI image was characterized based on the intensity of grayscale. Indentation test was then conducted on the specimen to characterize the cartilage biphasic properties of elastic modulus and permeability. The cartilage grayscale values were moderately correlated with cartilage biphasic elastic modulus and higher correlation was observed with the permeability. These could indicate the potential application of low-field MRI to evaluate the biomechanical properties of articular cartilage.


  • Keywords

    Articular cartilage; low-field magnetic resonance imaging; image grayscale; elastic modulus; permeability

  • References

      [1] Dam EB, Lillholm M, Marques J & Nielsen M (2015), Automatic Segmentation of High- and Low-Field Knee MRIs Using Knee Image Quantification with Data from the Osteoarthritis Initiative. Journal of Medical Imaging 2(2), 024001.

      [2] Liess C, Lüsse S, Karger N, Heller M & Glüer CC (2002), Detection of Changes in Cartilage Water Content Using MRI T2-Mapping in Vivo. Osteoarthritis and Cartilage 10(12), 907–913.

      [3] Teeple E, Jay GD, Elsaid KA & Fleming BC (2013), Animal Models of Osteoarthritis: Challenges of Model Selection and Analysis. The AAPS Journal 15(2), 438–446.

      [4] Franz T, Hasler EM, Hagg R, Weiler C, Jakob RP & Mainil-Varlet P (2001), In Situ Compressive Stiffness, Biochemical Composition, and Structural Integrity of Articular Cartilage of the Human Knee Joint. Osteoarthritis and Cartilage 9(6), 582–592.

      [5] Mow VC & Huiskes R (2005), Basic Orthopaedic Biomechanics and Mechano-Biology, Third Edit ed., Philadelphia: Lippincott Williams & Wilkins.

      [6] Nieminen MT, Töyräs J, Laasanen MS, Silvennoinen J, Helminen HJ & Jurvelin JS (2004), Prediction of Biomechanical Properties of Articular Cartilage with Quantitative Magnetic Resonance Imaging. Journal of Biomechanics 37(3), 321–328.

      [7] Hani AFM, Kumar D, Malik AS, Ahmad RMKR, Razak R & Kiflie A (2015), Non-Invasive and In Vivo Assessment of Osteoarthritic Articular Cartilage: A Review on MRI Investigations. Rheumatology International 35(1), 1–16.

      [8] Julkunen P, Korhonen RK, Nissi MJ & Jurvelin JS (2008), Mechanical Characterization of Articular Cartilage by Combining Magnetic Resonance Imaging and Finite-Element Analysis—a Potential Functional Imaging Technique. Physics in Medicine and Biology 53(9), 2425–2438.

      [9] Kladny B, Bail H, Swoboda B, Schiwy-Bochat H, Beyer WF & Weseloh G (1996), Cartilage Thickness Measurement in Magnetic Resonance Imaging. Osteoarthritis and Cartilage 4(3), 181–186.

      [10] Nissi MJ, Rieppo J, Töyräs J, Laasanen MS, Kiviranta I, Nieminen MT & Jurvelin JS (2007) Estimation of Mechanical Properties of Articular Cartilage with MRI – dGEMRIC, T2 and T1 Imaging in Different Species with Variable Stages of Maturation. Osteoarthritis and Cartilage 15(10), 1141–1148.

      [11] Folkesson J, Dam EB, Olsen OF, Pettersen PC & Christiansen C (2007), Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach. IEEE Transactions on Medical Imaging 26(1), 106–115.

      [12] Woertler K, Strothmann M, Tombach B & Reimer P (2000), Detection of Articular Cartilage Lesions: Experimental Evaluation of Low- and High-Field-Strength MR Imaging at 0.18 and 1.0 T. Journal of Magnetic Resonance Imaging 11(6), 678–685.

      [13] Ghazinoor S, Crues JV & Crowley C (2007), Low-Field Musculoskeletal MRI. Journal of Magnetic Resonance Imaging 25(2), 234–244.

      [14] Qazi AA, Folkesson J, Pettersen PC, Karsdal MA, Christiansen C & Dam EB (2007), Separation of Healthy and Early Osteoarthritis by Automatic Quantification of Cartilage Homogeneity. Osteoarthritis and Cartilage 15, 1199–1206.

      [15] Dam EB, Folkesson J, Pettersen PC & Christiansen C (2007), Automatic Morphometric Cartilage Quantification in the Medial Tibial Plateau from MRI for Osteoarthritis Grading. Osteoarthritis and Cartilage 15(7), 808–818.

      [16] Ejbjerg BJ (2005), Optimised, Low Cost, Low Field Dedicated Extremity MRI Is Highly Specific and Sensitive for Synovitis and Bone Erosions in Rheumatoid Arthritis Wrist and Finger Joints: Comparison with Conventional High Field MRI and Radiography. Annals of the Rheumatic Diseases 64(9), 1280–1287.

      [17] Lu W, Yang J, Chen S, Zhu Y & Zhu C (2015), Abnormal Patella Height Based on Insall-Salvati Ratio and Its Correlation with Patellar Cartilage Lesions : An Extremity-Dedicated Low-Field Magnetic Resonance Imaging Analysis of 1703 Chinese Cases. Scandinavian Journal of Surgery 105(3), 197-203.

      [18] Latif MJA, Jin Z & Wilcox RK (2012), Biomechanical Characterisation of Ovine Spinal Facet Joint Cartilage. Journal of Biomechanics 45(8), 1346–1352.

      [19] Pawaskar SS, Fisher J & Jin Z (2010), Robust and General Method for Determining Surface Fluid Flow Boundary Conditions in Articular Cartilage Contact Mechanics Modeling. Journal of Biomechanical Engineering 132(3), 031001–1–8.

      [20] Jaafar YL, Latif MJA, Hashim NH & Kadir MRA (2016), The Effects of Thickness on Biomechanical Behaviour of Articular Cartilage: A Finite Element Analysis. ARPN Journal of Engineering and Applied Sciences 11(8), 5331–5335.

      [21] Qu C, Hirviniemi M, Tiitu V, Jurvelin JS, Toyras J & Lammi MJ (2014), Effects of Freeze-Thaw Cycle with and without Proteolysis Inhibitors and Cryopreservant on the Biochemical and Biomechanical Properties of Articular Cartilage. Cartilage 5(2), 97–106.

      [22] Wansin Y, Latif MJA, Saad NM, Alhabshi SMI & Kadir MRA (2017), Characterization of Articular Cartilage Using Low-Field Magnetic Resonance Imaging Image. Journal of Medical Imaging and Health Informatics 7(6), 1149–1152.

      [23] Nieminen MT, Toyras J, Laasanen, MS, Rieppo J, Silvennoinen J, Helminen HJ & Jurvelin JS (2001), MRI Quantitation of Proteoglycans Cartilage Stifness in Bovine Humeral Head. Annual Meeting of the Orthopaedic Research Society, 25–28.

      [24] Taylor SD, Tsiridis E, Ingham E, Jin Z, Fisher J & Williams S (2011), Comparison of Human and Animal Femoral Head Chondral Properties and Geometries. Journal of Engineering in Medicine 226(1), 55–62.

      [25] Appleyard RC, Ghosh P & Swain MV (1999), Biomechanical, Histological and Immunohistological Studies of Patellar Cartilage in an Ovine Model of Osteoarthritis Induced by Lateral Meniscectomy. Osteoarthritis and Cartilage 7(3), 281–294.

      [26] Treppo S, Koepp H & Quan EC (2000), Comparison of Biomechanical and Biochemical Properties of Cartilage from Human Knee and Ankle Pairs. Journal of Orthopaedic Research 18(5), 739–748.

      [27] Yao JQ & Seedhom BB (1993), Mechanical Conditioning of Articular Cartilage to Prevalent Stresses. British Journal of Rheumatology 32(11), 956–965.

      [28] Bhosale AM & Richardson JB (2008) Articular Cartilage: Structure, Injuries and Review of Management. British Medical Bulletin 87(1), 77–95.

      [29] Fox AJS, Bedi A & Rodeo SA (2009), The Basic Science of Articular Cartilage: Structure, Composition, and Function. Sports Health 1(6), 461– 468.

      [30] Potter HG (2006), Magnetic Resonance Imaging of Articular Cartilage: Trauma, Degeneration, and Repair. American Journal of Sports Medicine 34(4), 661–677.

      [31] Potter HG & Koff MF (2012), MR Imaging Tools to Assess Cartilage and Joint Structures. HSS Journal 8(1), 29–32.

      [32] Wayne JS, Kraft KA, Shields KJ, Yin C, Owen JR & Disler DG (2003), MR Imaging of Normal and Matrix-Depleted Cartilage: Correlation with Biomechanical Function and Biochemical Composition. Radiology 228(2), 493–499.




Article ID: 22128
DOI: 10.14419/ijet.v7i4.26.22128

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