On the sonification technique

Abstract

An introduction of the sonification theory and its applications to the medical imaging is presented in this paper. The sonification theory is known in the literature as the transformation of the image into sound by means of a linear operator based on the linear theory of sound propagation. By reversing back to image, an inverse problem has to be solved in order to find if the sound discovers or not new details in the original image. When the classical sonification operator is applied in the inverse problem, no image enhancement is achieved and no details are discovered. This is probably because the classical operator is based on the linear theory of sound propagation. In this paper a new sonification algorithm is advanced based on the Burgers equation of sound propagation. The new algorithm is able to bring improvements in the medical image by inversion. It earns gains in improvement of the medical image by capturing hardly detectable details in the unclear original images. The approach is exercised on fictive ultrasound images of human and rat livers.