Reflectivity function reconstruction using adaptive lattice deconvolution technique

Abstract

Deconvolution of ultrasonic echo signals improves resolution and quality of ultrasonic images. The problem of reconstructing the reflectivity of a biological tissue is examined by adaptive lattice deconvolution of the echo ultrasound signals. The simulation of the signal formation process in an ultrasonic-echo scan line in noisy conditions is estimated. The reflectivity of a biological tissue is estimated as cross-correlation coefficients between forward and backward predication errors in each stage of the adaptive lattice filter.