Feasibility of two-dimensional quantitative sonoelastographic imaging

Kenneth Hoyt, Benjamin Castaneda, Kevin J. Parker

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

4 Scopus citations


In this paper, a two-dimensional (2D) quantitative sonoelastographic technique for estimating local shear wave speeds from slowly propagating shear wave interference patterns (termed crawling waves) is presented. Homogeneous tissue-mimicking phantom results demonstrate the ability of quantitative sonoelastographic imaging to accurately reconstruct the true underlying shear wave speed distribution as verified using mechanical measurements. From heterogeneous phantoms containing a 5 or 10 mm stiff inclusion, results indicate that increasing the estimator kernel size increases the transition zone length about boundaries. Contrast-to-noise ratio (CNR) values from quantitative sonoelastograms obtained in heterogeneous phantoms reveal that the 2D quantitative sonoelastographic imaging technique outperforms the one-dimensional (ID) precursor in terms of image noise minimization and contrast enhancement. Experimental results from an embedded porcine liver specimen with an induced radiofrequency ablation (RFA) lesion validate 2D quantitative sonoelastographic imaging in tissue. Overall, 2D quantitative sonoelastography was shown to be a promising new imaging method to characterizing the shear wave speed distribution in elastic materials.

Original languageEnglish (US)
Title of host publication2007 IEEE Ultrasonics Symposium Proceedings, IUS
Number of pages4
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


Other2007 IEEE Ultrasonics Symposium, IUS
Country/TerritoryUnited States
CityNew York, NY


  • Crawling waves
  • Elasticity imaging
  • Shear wave speed estimation
  • Sonoelastography

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


Dive into the research topics of 'Feasibility of two-dimensional quantitative sonoelastographic imaging'. Together they form a unique fingerprint.

Cite this