System and method for learning-based 2D/3D rigid registration for image-guided surgery using Jensen-Shannon divergence

A program storage device readable by a computer, tangibly embodying a program of instructions executable by the computer to perform the method steps for registering 3-dimensional digitized images to 2-dimensional digitized images during a medical procedure comprising the steps of:

• providing a pair of correctly-registered training images L={lr, lf}, wherein lr and lf are reference and floating images, respectively, and their joint intensity distribution pl(ir, if), wherein ir and if are reference and floating images, respectively;
• providing a pair of observed images O={or, of}, wherein or and of are reference and floating images, respectively, and their joint intensity distribution po(ir,if);
• mapping a marginal intensity distribution of the observed pair O={or, of} to a marginal intensity distribution of the training pair L={lr, lf} and
• estimating a set of parameters T that registers image of to image or 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.