Abstract

Shear waves propagating through interfaces where there is a change in stiffness cause reflected waves that can lead to artifacts in shear wave speed (SWS) reconstructions. Two-dimensional (2-D) directional filters are commonly used to reduce in-plane reflected waves; however, SWS artifacts arise from both in- and out-of-imaging-plane reflected waves. Herein, we introduce 3-D shear wave reconstruction methods as an extension of the previous 2-D estimation methods and quantify the reduction in image artifacts through the use of volumetric SWS monitoring and 4-D-directional filters. A Gaussian acoustic radiation force impulse excitation was simulated in phantoms with Young’s modulus (E) of 3 kPa and a 5-mm spherical lesion with E = 6, 12, or 18.75 kPa. The 2-D-, 3-D-, and 4-D-directional filters were applied to the displacement profiles to reduce in-and out-of-plane reflected wave artifacts. Contrast-to-noise ratio and SWS bias within the lesion were calculated for each reconstructed SWS image to evaluate the image quality. For 2-D SWS image reconstructions, the 3-D-directional filters showed greater improvements in image quality than the 2-D filters, and the 4-D-directional filters showed marginal improvement over the 3-D filters. Although 4-D-directional filters can further reduce the impact of large magnitude out-of-plane reflection artifacts in SWS images, computational overhead and transducer costs to acquire 3-D data may outweigh the modest improvements in image quality. The 4-D-directional filters have the largest impact in reducing reflection artifacts in 3-D SWS volumes.

Highlights

  • SHEAR wave elasticity imaging (SWEI) has been developed as a noninvasive, quantitative imaging technique that measures the mechanical properties of tissue [1]

  • The 3-D filtering shows significant improvements in image quality over 2-D filtering, and because it can be performed on data obtained with a 1D array at moderate computational cost, it would be beneficial to move to 3-D filtering in SWEI imaging

  • Increasing the dimensionality of the directional filter rejects more of these shear wave artifacts, allowing for the reconstruction of more accurate shear wave speed (SWS) images

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Summary

Introduction

SHEAR wave elasticity imaging (SWEI) has been developed as a noninvasive, quantitative imaging technique that measures the mechanical properties of tissue [1]. SWEI uses a diagnostic ultrasound transducer to create an acoustic radiation force impulse (ARFI) excitation that induces micrometer-scale displacements [2]–[5]. This impulsive excitation generates shear waves that propagate orthogonally outward in all directions from the region of excitation. Current SWEI algorithms are limited to 2-D regions of interest (ROIs) and assume tissue homogeneity in small reconstruction kernels that estimate shear wave speed (SWS) using time-of-flight (TOF)-based algorithms [3]–[7]. Reconstructing an SWS image from these SWEI algorithms in heterogeneous tissues can introduce a variety of artifacts, including SWS underestimation from reflections at stiffness interfaces [8], [9]

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