SYSTEM AND METHOD FOR LEARNING-BASED 2D/3D RIGID REGISTRATION FOR IMAGE-GUIDED SURGERY

摘要

A method of registering 3-dimensional digitized images to 2-dimensional digitized images during a medical procedure includes providing a pair of correctly-registered training images L={l_r, l_f} and their joint intensity distribution p_l(i_r, i_f), wherein i_r and i_f are reference and floating images, respectively, providing a pair of observed images O={o_r, o_f} and their joint intensity distribution p_o(i_r, i_f), mapping a marginal intensity distribution of the observed pair O={o_r, o_f} to a marginal intensity distribution of the training pair L={l_r, l_f}, and estimating a set of parameters T that registers image o_f to image o_r by maximizing a weighted sum of a Jensen-Shannon divergence (JSD) of a joint intensity distribution of the observed pair and a joint intensity distribution of the training pair and a similarity measure between the observed images.