Title :
Quantitative imaging of nonlinear shear modulus by combining static elastography and shear wave elastography
Author :
Latorre-Ossa, H. ; Gennisson, Jl ; De Brosses, E. ; Tanter, Mickael
Author_Institution :
Inst. Langevin, Ondes et Images, Ecole Super. de Phys. et de Chim. Industrielles de la Ville de Paris, Paris, France
fDate :
4/1/2012 12:00:00 AM
Abstract :
The study of new tissue mechanical properties such as shear nonlinearity could lead to better tissue characterization and clinical diagnosis. This work proposes a method combining static elastography and shear wave elastography to derive the nonlinear shear modulus by applying the acoustoelasticity theory in quasi-incompressible soft solids. Results demonstrate that by applying a moderate static stress at the surface of the investigated medium, and by following the quantitative evolution of its shear modulus, it is possible to accurately and quantitatively recover the local Landau (A) coefficient characterizing the shear nonlinearity of soft tissues.
Keywords :
biological tissues; biomechanics; biomedical ultrasonics; compressibility; elastic waves; elasticity; shear modulus; ultrasonic imaging; acousto-elasticity theory; clinical diagnosis; local Landau coefficient; moderate static stress; nonlinear shear modulus; quantitative imaging; quasiincompressible soft solids; shear nonlinearity; shear wave elastography; static elastography; tissue characterization; tissue mechanical properties; Acoustics; Image coding; Phantoms; Strain; Stress; Stress measurement; Animals; Cattle; Computer Simulation; Elastic Modulus; Elasticity Imaging Techniques; Image Processing, Computer-Assisted; Models, Biological; Nonlinear Dynamics; Phantoms, Imaging; Signal Processing, Computer-Assisted;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
DOI :
10.1109/TUFFC.2012.2262