Medical Image Registration Based on Mutual Information Using Kriging Probability Density Estimation

This paper proposes a new approach of Kriging Estimation (KE) to the problem of probability density estimation, which is critical during the registration of medical images using Mutual Information (MI). The author proposed that the linear coefficients of Kriging Interpolation have "probability character" which makes them appropriate to be utilized in probability estimation. KE is a complement of existent probability estimation methods, the experiments provided have proved its efficacy.