4.6 Article

Ultrasound Shear Wave Viscoelastography: Model-Independent Quantification of the Complex Shear Modulus

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TUFFC.2016.2583785

关键词

Dynamic elastography; elasticity and viscosity; inverse problem solution; ultrasound imaging; viscoelastic properties; viscoelasticity

资金

  1. Institute of Nutrition, Metabolism and Diabetes of the Canadian Institutes of Health Research [273738, 301520]
  2. Fonds de Recherche du Quebec-Nature et Technologies [PR-174387]

向作者/读者索取更多资源

Ultrasound shear wave elastography methods are commonly used for estimation of mechanical properties of soft biological tissues in diagnostic medicine. A limitation of most currently used elastography methods is that they yield only the shear storage modulus (G') but not the loss modulus (G ''). Therefore, no information on viscosity or loss tangent (tan delta) is provided. In this paper, an ultrasound shear wave viscoelastography method is developed for model-independent quantification of frequency-dependent viscoelastic complex shear modulus of macroscopically homogeneous tissues. Three in vitro tissue-mimicking phantoms and two ex vivo porcine liver samples were evaluated. Shear waves were remotely induced within the samples using several acoustic radiation force pushes to generate a semicylindrical wave field similar to those generated by most clinically used elastography systems. The complex shear modulus was estimated over a broad frequency range (up to 1000 Hz) through the analytical solution of the developed inverse wave propagation problem using the measured shear wave speed and amplitude decay versus propagation distance. The shear storage and loss moduli obtained for the in vitro phantoms were compared with those from a planar shear wave method and the average differences over the whole frequency range studied were smaller than 7% and 15%, respectively. The reliability of the proposed method highlights its potential for viscoelastic tissue characterization, which may improve noninvasive diagnosis.

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