Research On Medical Image Registration Based On Mutual Information

Medical image registration is the key technology of the modern medicine; it provides the scientific diagnosis for doctors. Registration based on Mutual Information are popular in medical image registration processing fields, which are accepted as the most accurate and robustness. In this paper, a large number of Registration based on Mutual Information algorithms are researched. The main results in this paper are as follows:Firstly, the background knowledge and current situation were introduced, and the correlative theoretical knowledges Registration based on Mutual Information were deeply researched, and the principle of mutual information and registration processes were introduced, and the strengths and weaknesses of Registration based on Mutual Information algorithms and improving methods were discussed in detail.Secondly, on the basis of mutual information, image interpolation technology are researched, aim at the traditional interpolation method has low accurate and slow speed, a new interpolation algorithm are proposed, that is, the image interpolation algorithm based on the absolute error of the brightness of pixels, which combines the advantages of nearest interpolation and bicubic interpolation, without prejudice to the case of interpolation accuracy can greatly improve the speed of image interpolation.Thirdly, to overcome Registration based on Mutual Information algorithms has the shortcoming of the local maxima and the computing expansive, wavelet- based multi-resolution approach was applied in registration. The sub-images which were decomposed by wavelet transformation were registered using FGA, and then the results were applied as the start point for the registration of high-resolution image using Powell's method. Finally, the single-mode and multimode registration experiments of two algorithms were done under Matlab7.0 environment, in which use the image data which provided by international standard on the United States Vanderbilt University RREP project team, which realized image registration based on mutual information, at the same time, the results of registration are comparative analysis, and the accuracy and robustness of the new algorithm were verified.