Tissue characterization using the continuous wavelet transform Part I: Decomposition method

In this paper, a novel decomposition of the RF ultrasound signal into its c oherent and diffused component is proposed. This decomposition is based on thresholding the energy of the continuous wavelet transform of the RF signa l using appropriate wavelets. The two components are modeled separately, an d the model parameters are estimated. Previous work [1] required assumption s about the periodicity of the coherent scatterers in the tissue. These ass umptions are not necessary in this work. The decomposition algorithm is tes ted on simulated RF images. The accuracy of the estimated parameters is pre sented as well as the performance of the algorithm in low coherent-to-diffu se components' energy ratios (SNR).