Evidence map›Paper›PMID 34281578›Full record

ArticleJournal of translational medicine2021

Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis.

Sandeep Panwar Jogi, Rafeek Thaha, Sriram Rajan, Vidur Mahajan, Vasantha Kumar Venugopal, Anup Singh, Amit Mehndiratta

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Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sandeep Panwar JogiCentre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, 110016, India.
Rafeek ThahaCentre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, 110016, India.
Sriram RajanMahajan Imaging Centre, New Delhi, 110016, India.
Vidur MahajanMahajan Imaging Centre, New Delhi, 110016, India.
Vasantha Kumar VenugopalMahajan Imaging Centre, New Delhi, 110016, India.
Anup SinghCentre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, 110016, India.
Amit MehndirattaCentre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, 110016, India. amit.mehndiratta@keble.oxon.org.ORCID 0000-0001-6477-2462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate structural and material properties are essential for finite-element-modeling (FEM). In knee FEM, structural information could extract through 3D-imaging, but the individual subject's tissue material properties are inaccessible. PURPOSE: The current study's purpose was to develop a methodology to estimate the subject-specific stiffness of the tibiofemoral joint using finite-element-analysis (FEA) and MRI data of knee joint with and without load.

methodsIn this study, six Magnetic Resonance Imaging (MRI) datasets were acquired from 3 healthy volunteers with axially loaded and unloaded knee joint. The strain was computed from the tibiofemoral bone gap difference (ΔmBGFT) using the knee MR images with and without load. The knee FEM study was conducted using a subject-specific knee joint 3D-model and various soft-tissue stiffness values (1 to 50 MPa) to develop subject-specific stiffness versus strain models.

resultsLess than 1.02% absolute convergence error was observed during the simulation. Subject-specific combined stiffness of weight-bearing tibiofemoral soft-tissue was estimated with mean values as 2.40 ± 0.17 MPa. Intra-subject variability has been observed during the repeat scan in 3 subjects as 0.27, 0.12, and 0.15 MPa, respectively. All subject-specific stiffness-strain relationship data was fitted well with power function (R

conclusionThe current study proposed a generalized mathematical model and a methodology to estimate subject-specific stiffness of the tibiofemoral joint for FEM analysis. Such a method might enhance the efficacy of FEM in implant design optimization and biomechanics for subject-specific studies. Trial registration The institutional ethics committee (IEC), Indian Institute of Technology, Delhi, India, approved the study on 20th September 2017, with reference number P-019; it was a pilot study, no clinical trail registration was recommended.

Indexed as

Knee JointMagnetic Resonance ImagingBiomechanical PhenomenaFinite Element AnalysisHumansIndiaPilot ProjectsBiomedical engineeringFinite element analysisMagnetic resonance imagingSolid modeling

Identifiers

PMID34281578
PMCPMC8287773

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