Literature DB >> 26898990

Synchronous MRI of muscle motion induced by electrical stimulation.

Xeni Deligianni1,2, Michele Pansini3, Meritxell Garcia4, Anna Hirschmann4, Arno Schmidt-Trucksäss5, Oliver Bieri1,2, Francesco Santini1,2.   

Abstract

PURPOSE: Assessing the functionality of muscle fibers is essential to monitor both pathological and physiological processes. Here, we present a new method for accurate, quantitative measurement of muscle contraction with magnetic resonance imaging (MRI) using an electrical muscle stimulator (EMS), hence allowing the direct assessment of muscle kinematics.
METHODS: A commercially available EMS device was used to induce involuntary periodic muscle contraction of the vastus lateralis muscle (VL) synchronized with high-temporal-resolution cine phase contrast MRI acquisition at 3T. The proposed method was evaluated in ten male volunteers at varying levels of stimulation (10-18 mA) and maximum velocity, strain, and strain rate were calculated offline.
RESULTS: Artifact-free velocity, strain and strain rate maps were produced and were consistent across the volunteers. Quantitatively, all parameters varied significantly at different levels of stimulation, in an approximately power-law dependence on the stimulation current. At 18 mA maximum contraction speeds at the beginning of the contraction were 4.28 ± 2.64 cm/s; principal strain was 0.30 ± 0.12; and positive in-plane strain rate was 0.25 ± 0.14 s-1 .
CONCLUSION: MRI of EMS-controlled involuntary muscle contraction is feasible and allows offline calculation of velocity, strain and strain rate maps, which appear to depend significantly on the stimulation current used. Magn Reson Med 77:664-672, 2017.
© 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  electrical stimulation; skeletal muscle function; strain; strain rate; velocity-encoded phase contrast MRI

Mesh:

Year:  2016        PMID: 26898990     DOI: 10.1002/mrm.26154

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  5 in total

Review 1.  Real-Time Magnetic Resonance Imaging.

Authors:  Krishna S Nayak; Yongwan Lim; Adrienne E Campbell-Washburn; Jennifer Steeden
Journal:  J Magn Reson Imaging       Date:  2020-12-09       Impact factor: 4.813

2.  Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI.

Authors:  Gustav J Strijkers; Ericky C A Araujo; Noura Azzabou; David Bendahan; Andrew Blamire; Jedrek Burakiewicz; Pierre G Carlier; Bruce Damon; Xeni Deligianni; Martijn Froeling; Arend Heerschap; Kieren G Hollingsworth; Melissa T Hooijmans; Dimitrios C Karampinos; George Loudos; Guillaume Madelin; Benjamin Marty; Armin M Nagel; Aart J Nederveen; Jules L Nelissen; Francesco Santini; Olivier Scheidegger; Fritz Schick; Christopher Sinclair; Ralph Sinkus; Paulo L de Sousa; Volker Straub; Glenn Walter; Hermien E Kan
Journal:  J Neuromuscul Dis       Date:  2019

3.  Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks.

Authors:  Ryan J Cunningham; Ian D Loram
Journal:  J R Soc Interface       Date:  2020-01-29       Impact factor: 4.118

4.  Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy.

Authors:  Xeni Deligianni; Francesco Santini; Matteo Paoletti; Francesca Solazzo; Niels Bergsland; Giovanni Savini; Arianna Faggioli; Giancarlo Germani; Mauro Monforte; Enzo Ricci; Giorgio Tasca; Anna Pichiecchio
Journal:  Sci Rep       Date:  2022-05-04       Impact factor: 4.996

5.  Dynamic MRI of plantar flexion: A comprehensive repeatability study of electrical stimulation-gated muscle contraction standardized on evoked force.

Authors:  Xeni Deligianni; Anna Hirschmann; Nicolas Place; Oliver Bieri; Francesco Santini
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

  5 in total

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