Image Reconstruction Utilizing Algebraic Helmoltz Inversion and Passband Filtering Applied to Viscoelasticity

Shear wave viscoelasticity imaging is a quick and convenient imaging model for collecting images of tissues. The mechanical properties of soft tissues (elasticity, viscosity) are expressed through the complex shear modulus (CSM) parameter, a useful information for tissue pathological diagnosis. In this paper, we proposed a new solution in which we use FDTD method for modeling the wave propagation in 2D environment using FDTD method; then apply the a band-pass filter (BPF) to reduce the noise from the measured particle velocity of the shear wave; finally, we use the Algebraic Helmholtz Inversion (AHI) algorithm to directly estimate CSM. The results of numerical simulation have proven the effectiveness of the proposed algorithm.