ArticleUltrasound in medicine & biology2014
Elasticity estimates from images of crawling waves generated by miniature surface sources.
Article in Ultrasound in medicine & biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Impact of Pitching on Infraspinatus Muscle Elasticity in High School Baseball Pitchers: A Continuous Shear Wave Elastography Study.Diagnostics (Basel, Switzerland) · 2025Article
- Relationship Between Muscle Tone and Elasticity: Simultaneous Quantitative Assessment Using Train-of-Four Monitoring and Continuous Shear Wave Elastography During Anesthesia Induction-A Prospective Observational Study.Diagnostics (Basel, Switzerland) · 2025Article
- Asynchronous, semi-reverberant elastography.Optica · 2024Article
- Examination of rapid adjustment system based on screen score obtained using continuous shear wave elastography.Journal of medical ultrasonics (2001) · 2024Article
- An ultrasound transient elastography system with coded excitation.Biomedical engineering online · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We describe a surface-based approach to the generation of shear wave interference patterns, called crawling waves (CrW), within a medium and derive local estimates of biomechanical properties of tissue. In previous experiments, elongated bars operating as vibration sources were used to generate CrW propagation in samples. In the present study, however, a pair of miniature circular vibration sources was applied to the overlying skin to generate the CrW within the medium. The shape and position of the miniature sources make this configuration more applicable for in vivo implementation. A modified ultrasound imaging system is used to display the CrW propagation. A shear speed mapping algorithm is developed using a detailed analysis of the CrW. The proposed setup is applied to several biomaterials including a homogeneous phantom, an inhomogeneous phantom and an ex vivo human liver. The data are analyzed using the mapping algorithm to reveal the biomechanical properties of the biomaterials.
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Registered trials
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