Statistical estimation of the regularization parameter for ultrasound tomographic reconstructions and its noise tolerance

Refracted ray-path model in transmission-based ultrasound tomography (USCT) is a promising medical imaging technique. Although, most reconstructing methods for this technique fall into ill-conditioned problems that require prior information and regularization for solving, in this case choosing the regularization parameter by guessing and testing might be a time consuming task. The current report intends to present and test the robustness against measurement noise of a statistical estimation of Tikhonov regularization factor needed in refraction-corrected sound speed distribution in transmission-based USCT.