Medical image registration based on grey mutual information and gradient similarity with an accelerated processing method
Jun Wei Han · Caai Transactions on Intelligent Systems · 2008
This paper presents new methods that have been developed for rigid registration of medical images.These methods are based on normalized mutual information and improve registration speed and precision.The whole registration process includes three main steps: space transformation,mutual information calculation,and optimal search.Some acceleration strategies for fast registration of 3D volume data were investigated.Conventional registration approaches,based on mutual information,neglect the spatial distribution information of images.In view of this drawback,a new method was developed,combining data based on gradient similarity and mutual information.This improves the precision and robustness of the registration algorithm.Experimental results proved the validity of the proposed methods.