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Cited by 236

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Real‐time visualization of muscle stiffness distribution with ultrasound shear wave imaging during muscle contraction

Open access
Shinohara, Minoru, Sabra, Karim, Gennisson, Jean‐Luc, Fink, Mathias, Tanter, Mickaél·2010·Muscle & Nerve
DOI 10.1002/mus.21723
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Abstract

A stand‐alone ultrasound shear wave imaging technology has been developed to quantify and visualize Young's modulus distribution by remotely applying ultrasound radiation force and tracking the resulting microvibrations in soft tissues with ultrafast ultrasound imaging. We report the first preliminary data that detected the distribution of local muscle stiffness within and between resting and contracting muscles at different muscle lengths with this technology. This technique may assist clinicians in characterizing muscle injuries or neuromuscular disorders. Muscle Nerve, 2010

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Metadata

Authors
Shinohara, M., Sabra, K., Gennisson, J., Fink, M., & Tanter, M.
Venue
Muscle & Nerve
Publisher
Wiley
Published
2010-08-24
Volume
42
Issue
3
Pages
438-441
ISSN
  • 0148-639X (ISSN-L)
  • 1097-4598
DOI
10.1002/mus.21723
OpenAlex
W2033137386
Cited by
236
References
0
FWCI
9.40
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Real‐time visualization of muscle stiffness distribution with ultrasound shear wave imaging during muscle contraction. https://app.cochat.ai/papers/10.1002/mus.21723
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Shinohara, M., Sabra, K., Gennisson, J., Fink, M., & Tanter, M. (2010). Real‐time visualization of muscle stiffness distribution with ultrasound shear wave imaging during muscle contraction. Muscle & Nerve. https://doi.org/10.1002/mus.21723

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.