Higher Order Spectra Based Deconvolution of Ultrasound Images

We address the problem of improving the spatial resolution of ultrasound images through blind deconvolution. The ultrasound image formation process in the RF domain can be expressed as a spatio-temporal convolution between the tissue response and the ultrasonic system response, plus additive noise. Convolutional components of the dispersive attenuation and aberrations introduced by propagating through the object being imaged are also incorporated in the ultrasonic system response. Our goal is to identify and remove the convolutional distortion in order to reconstruct the tissue response, thus enhancing the diagnostic quality of the ultrasonic image. Under the assumption of an independent, identically distributed zero-mean non-Gaussian tissue response, we were able to estimate distortion kernels using bicepstrum operations on RF data. Separate 1-D distortion kernels were estimated corresponding to axial and lateral image lines and used in the deconvolution process. The estimated axial k..