IN VIVO CHARACTERIZATION OF THE MUSCLE VISCOELASTICITY IN PASSIVE AND ACTIVE CONDITIONS USING MULTIFREQUENCY MR ELASTOGRAPHY

This study aims to develop a viscoelastic database for muscles (VM: vastus medialis and Sr: sartorius) and subcutaneous adipose tissue with multifrequency magnetic resonance elastography (MMRE) coupled with rheological models. MMRE was performed on 13 subjects, at 70-90-110 Hz, to experimentally ass...

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Published inJournal of musculoskeletal research Vol. 16; no. 2; p. 1350008
Main Authors Debernard, Laëtitia, Leclerc, Gwladys E., Robert, Ludovic, Charleux, Fabrice, Bensamoun, Sabine F.
Format Journal Article
LanguageEnglish
Published Singapore World Scientific Publishing Company 01.06.2013
World Scientific Publishing Co. Pte., Ltd
World Scientific Publishing
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Summary:This study aims to develop a viscoelastic database for muscles (VM: vastus medialis and Sr: sartorius) and subcutaneous adipose tissue with multifrequency magnetic resonance elastography (MMRE) coupled with rheological models. MMRE was performed on 13 subjects, at 70-90-110 Hz, to experimentally assess the elastic properties (μ) of passive and active (20% MVC) muscles. Then, numerical shear modulus (μ) and viscosity (η) were calculated using three rheological models (Voigt, Zener, Springpot). The elastic properties, obtained with the Springpot model, were closer to the experimental data for the different physiological tissues (μSpringpot_VM_Passive = 3.67 ± 0.71 kPa, μSpringpot_Sr = 6.89 ± 1.27 kPa, μSpringpot_Adipose Tissue = 1.61 ± 0.37 kPa) and at different muscle states (μSpringpot_VM_20%MVC = 11.29 ± 1.04 kPa). The viscosity parameter increased with the level of contraction (η_VM_Passive_Springpot = 4.5 ± 1.64 Pa.s versus η_VM_20%MVC_Springpot = 12.14 ± 1.47 Pa.s) and varied with the type of muscle. (η_VM_Passive_Springpot = 4.5 ± 1.64 Pa.s versus η_Sr_Springpot = 6.63 ± 1.27 Pa.s). Similar viscosities were calculated for all tissues and rheological models. These first physiologically realistic viscoelastic parameters could be used by the physicians to better identify and monitor the effects of muscle disorder, and as a database for musculoskeletal model.
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ISSN:0218-9577
1793-6497
DOI:10.1142/S0218957713500085