Using Empirical Mode Decomposition of Backscattered Ultrasound Signal Power Spectrum for Assessment of Tissue Compression

Quantitative ultrasound has been widely used for tissue characterization. In this paper we propose a new approach compression assessment. The proposed method employs the relation between scatterers’ local spatial distribution and resulting frequency power spectrum of backscattered ultrasonic signal. We show that due to scatterers, exhibits characteristic variations. These variations can be extracted using empirical mode decomposition analyzed. Validation our is performed by simulations in-vitro experiments sample under compression. scatterers in compressed each other consequently, signal modified. present how assess phenomenon with method. general may provide useful information on scattering properties.