title: Shear strain imaging using shear deformations.
abstract: In this article we investigate the generation of shear strain elastograms induced using a lateral shear deformation. Ultrasound simulation and experimental results demonstrate that the shear strain elastograms obtained under shear deformation exhibit significant differences between bound and unbound inclusions in phantoms, when compared to shear strain images induced upon an axial compression. A theoretical model that estimates the decorrelation between pre- and postdeformation radio frequency signals, as a function of extent of shear deformation, is also developed. Signal-to-noise ratios of shear strain elastograms obtained at different shear angles are investigated theoretically and verified using ultrasound simulations on a uniformly elastic phantom. For the simulation and experiment, a two-dimensinal block-matching-based algorithm is used to estimate the axial and lateral displacement. Shear strains are obtained from the displacement vectors using a least-squares strain estimator. Our results indicate that the signal-to-noise ratio (SNR) of shear strain images increases to reach a maximum and saturates, and then decreases with increasing shear angle. Using typical system parameters, the maximum achievable SNR for shear strain elastography is around 8 (18 dB), which is comparable to conventional axial strain elastography induced by axial compression. Shear strain elastograms obtained experimentally using single inclusion tissue-mimicking phantoms with both bound and unbound inclusions (mimicking cancerous masses and benign fibroadenomas, respectively) demonstrate the characteristic differences in the depiction of these inclusions on the shear strain elastograms.
authors.affiliation: Department of Medical Physics, The University of Wisconsin-Madison, 1300 University Avenue, 1530 MSC, Madison, Wisconsin 53706, USA. minrao@wisc.edu
authors.forename: Min
authors.initials: M
authors.lastname: Rao
authors.forename: Tomy
authors.initials: T
authors.lastname: Varghese
authors.forename: Ernest L
authors.initials: EL
authors.lastname: Madsen
mesh_terms: D003198:Computer Simulation; D003238:Connective Tissue / Q000033:anatomy & histology* / Q000502:physiology*; D004548:Elasticity; D054459:Elasticity Imaging Techniques / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D033081:Shear Strength; D013314:Stress, Mechanical