We proposed a traveling-wave expansion based subspace search (TWESS) algorithm for modulus estimation of MRE. Based on a traveling wave decomposition model, we explore the orthogonal characteristics of the signal subspace and the noise subspace. Eigenvalue decomposition of the covariance matrix of the wave data were used to search the wavenumber and retrieve the local modulus. Results showed the proposed method could provide better delineation of the inclusion boundaries, even when signal-to-noise ratio of the image was low.
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