Optimized Multistage Medical Image Registration Method Based on Mutual Information
Gu Lixu · Jisuanji gongcheng · 2006
This paper proposes an optimized multi-stage registration approach based on mutual information(MI).It calculates the gradient information of an input image as the reference image,which reduces the most inner details of the reference image but emphases its contour information.This pre-processing is proposed to resist the expenses of the normal MI registration.Then it designs a multistage transform in processing framework,which optimizes the convergence during the registration.An adjustment using the traditional MI with two complete images in limited iterations is employed.To demonstrate the effectiveness of this optimized multistage method,three case studies by using mono-,multi-modality and time series clinic datasets in the experiment is implemented.Compared with the common MI method,it is proved to be more efficient in better accuracy.