Muscle tissue characterization using quantitative sonoelastography: Preliminary results

Kenneth Hoyt, Benjamin Castaneda, Kevin J. Parker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

A quantitative sonoelastographic technique for skeletal muscle tissue characterization is introduced. Experimental data was collected in both ex vivo bovine and in vivo human skeletal muscle tissue. Crawling wave sonoelastographic data was processed using a quantitative technique for estimating local shear wave speed distributions. Results on ex vivo skeletal muscle samples demonstrate shear wave anisotropy and existence of fast and slow shear waves corresponding to propagation parallel and perpendicular to muscle fibers. Comparison of relative frequency-dependent changes between shear wave speed estimates for both shear wave propagation parallel and perpendicular to muscle fibers suggests increased viscoelastic effects for the former. Preliminary sonoelastographic data from two healthy human subjects was acquired in the relaxed rectus femoris muscles. Results demonstrate that quantitative elasticity data can be reproducibly acquired in vivo. Overall, preliminary results are encouraging and quantitative sonoelastography may prove clinically feasible for the in vivo characterization of skeletal muscle in health and disease.

Original languageEnglish (US)
Title of host publication2007 IEEE Ultrasonics Symposium Proceedings, IUS
Pages365-368
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE Ultrasonics Symposium, IUS - New York, NY, United States
Duration: Oct 28 2007Oct 31 2007

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117

Other

Other2007 IEEE Ultrasonics Symposium, IUS
Country/TerritoryUnited States
CityNew York, NY
Period10/28/0710/31/07

Keywords

  • Crawling waves
  • Elasticity imaging
  • Quantitative sonoelastography
  • Tissue characterization

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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