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

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          Abstract

          Background

          Mapping of T relaxation time is a quantitative magnetic resonance (MR) method and is frequently used for analyzing microstructural and compositional changes in cartilage tissues. However, there is still a lack of study investigating the link between T relaxation time and a feasible constitutive relation of cartilage which can be used to model complicated mechanical behaviors of cartilage accurately and properly.

          Methods

          Three-dimensional finite element (FE) models of ten in vitro human tibial cartilage samples were reconstructed such that each element was assigned by material-level parameters, which were determined by a corresponding T value from MR maps. A T -based fibril-reinforced poroviscoelastic (FRPE) constitutive relation for human cartilage was developed through an inverse FE optimization technique between the experimental and simulated indentations.

          Results

          A two-parameter exponential relationship was obtained between the T and the volume fraction of the hydrated solid matrix in the T -based FRPE constitutive relation. Compared with the common FRPE constitutive relation (i.e., without T ), the T -based FRPE constitutive relation indicated similar indentation depth results but revealed some different local changes of the stress distribution in cartilages.

          Conclusions

          Our results suggested that the T -based FRPE constitutive relation may improve the detection of changes in the heterogeneous, anisotropic, and nonlinear mechanical properties of human cartilage tissues associated with joint pathologies such as osteoarthritis (OA). Incorporating T relaxation time will provide a more precise assessment of human cartilage based on the individual in vivo MR quantification.

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          Author and article information

          Journal
          Quant Imaging Med Surg
          Quant Imaging Med Surg
          QIMS
          Quantitative Imaging in Medicine and Surgery
          AME Publishing Company
          2223-4292
          2223-4306
          March 2019
          March 2019
          : 9
          : 3
          : 359-370
          Affiliations
          [1 ]Department of Radiology and Biomedical Imaging, University of California San Francisco , San Francisco, CA, USA;
          [2 ]Department of Mechanical Engineering, Tsinghua University , Beijing 100084, China;
          [3 ]Department of Surgery, University of California San Francisco , San Francisco, CA, USA;
          [4 ]Department of Orthopaedic Surgery, Washington University , St. Louis, MO, USA;
          [5 ]Department of Orthopaedic Surgery, University of California San Francisco , San Francisco, CA, USA;
          [6 ]Program of Advanced Musculoskeletal Imaging, Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic , Cleveland, OH, USA
          Author notes
          Correspondence to: Xiaojuan Li; Chao Wan. Department of Biomedical Engineering/ND20, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA. Email: lix6@ 123456ccf.org ; chaowan@ 123456bit.edu.cn .
          Article
          PMC6462578 PMC6462578 6462578 qims-09-03-359
          10.21037/qims.2019.03.01
          6462578
          31032184
          e41fbc6c-da47-4b99-a30f-cb5a45e76271
          2019 Quantitative Imaging in Medicine and Surgery. All rights reserved.
          History
          : 21 October 2018
          : 27 February 2019
          Categories
          Original Article

          quantitative magnetic resonance image,articular cartilage,T1ρ relaxation time,osteoarthritis (OA),fibril-reinforced poroviscoelastic (FRPE)

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