Literature DB >> 18421123

Mechanical characterization of articular cartilage by combining magnetic resonance imaging and finite-element analysis: a potential functional imaging technique.

P Julkunen1, R K Korhonen, M J Nissi, J S Jurvelin.   

Abstract

Magnetic resonance imaging (MRI) provides a method for non-invasive characterization of cartilage composition and structure. We aimed to see whether T(1) and T(2) relaxation times are related to proteoglycan (PG) and collagen-specific mechanical properties of articular cartilage. Specifically, we analyzed whether variations in the depthwise collagen orientation, as assessed by the laminae obtained from T(2) profiles, affect the mechanical characteristics of cartilage. After MRI and unconfined compression tests of human and bovine patellar cartilage samples, fibril-reinforced poroviscoelastic finite-element models (FEM), with depthwise collagen orientations implemented from quantitative T(2) maps (3 laminae for human, 3-7 laminae for bovine), were constructed to analyze the non-fibrillar matrix modulus (PG specific), fibril modulus (collagen specific) and permeability of the samples. In bovine cartilage, the non-fibrillar matrix modulus (R = -0.64, p < 0.05) as well as the initial permeability (R = 0.70, p < 0.05) correlated with T(1). In bovine cartilage, T(2) correlated positively with the initial fibril modulus (R = 0.62, p = 0.05). In human cartilage, the initial fibril modulus correlated negatively (R = -0.61, p < 0.05) with T(2). Based on the simulations, cartilage with a complex collagen architecture (5 or 7 laminae), leading to high bulk T(2) due to magic angle effects, provided higher compressive stiffness than tissue with a simple collagen architecture (3 laminae). Our results suggest that T(1) reflects PG-specific mechanical properties of cartilage. High T(2) is characteristic to soft cartilage with a classical collagen architecture. Contradictorily, high bulk T(2) can also be found in stiff cartilage with a multilaminar collagen fibril network. By emerging MRI and FEM, the present study establishes a step toward functional imaging of articular cartilage.

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Year:  2008        PMID: 18421123     DOI: 10.1088/0031-9155/53/9/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  15 in total

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3.  Sensitivity and specificity of univariate MRI analysis of experimentally degraded cartilage under clinical imaging conditions.

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7.  Multi-parametric MRI characterization of enzymatically degraded articular cartilage.

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8.  T-based fibril-reinforced poroviscoelastic constitutive relation of human articular cartilage using inverse finite element technology.

Authors:  Chao Wan; Liang Ge; Richard B Souza; Simon Y Tang; Tamara Alliston; Zhixiu Hao; Xiaojuan Li
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Review 9.  A review of the combination of experimental measurements and fibril-reinforced modeling for investigation of articular cartilage and chondrocyte response to loading.

Authors:  Petro Julkunen; Wouter Wilson; Hanna Isaksson; Jukka S Jurvelin; Walter Herzog; Rami K Korhonen
Journal:  Comput Math Methods Med       Date:  2013-04-08       Impact factor: 2.238

10.  Pre-Osteoarthritis: Definition and Diagnosis of an Elusive Clinical Entity.

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