Abstract

Quantitative modeling of ultrasound scattering from soft tissues has been used extensively to characterize soft tissues. In this approach, tissues are typically modeled as a random medium containing scatterers of specific shapes, acoustic properties, and spatial arrangements. Under plane-wave insonification and assuming weak scattering (i.e., Born approximation), the backscattered coefficient (BSC) of such a random medium is fully described by the power spectrum of its three-dimensional (3D) impedance map (ZM). A two-dimensional (2D) ZM can be obtained by scanning acoustic microscopy (SAM) applied to thin tissue sections using very high-frequency ultrasound (>100 MHz). Under isotropic assumptions, 2DZMs can predict the BSC accurately; nevertheless, in the case of dense media, where the locations of the scatterers can be correlated, some of the theoretical assumptions fail, which requires introduction of the structure-factor model (SFM). Using experimental and simulated data, this presentation will review ...

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