北京生物医学工程2012，Vol.31Issue(2)：140-145,6.DOI:10.3969/j.issn.1002-3208.2012.02.06.
基于Contourlet变换的CT和锥形束CT图像配准算法
Image registration algorithm in CT and cone beam CT based on Contourlet transform
摘要
Abstract
Objective A novel image registration algorithm in CT and cone beam CT (CBCT) is proposed for the localization in radiotherapy based on Contourlet transform. Methods The multi-directional and multi resolution Contourlet transform is applied to decompose the original image. The gradient image is constructed from the high frequency directional subbands, and normalized mutual informaion (NMI) is used as the similarity measures to calculate the mutual information of the gradient image and low frequency directional subband , respectively. Then the synthesis similarity measure is the combination of mutual information for two images with a specific weight function The proposed approach can compensate for the lack of spatial information in the mutual information based on image registration. Results The algorithm accuracy is verified by comparing the registration results of ten medical images with specific spatial transformation parameters. The errors of the spatial transformation parameters after registration are small, and the mean squared error (MSE) is close to zero. Conclusions The experimental results are accurate and the algorithm is robust. This method improves the localization accuracy of anatomical structures and targets in the applications of image guided radiation therapy (IGRT).关键词
图像配准/多分辨率分解/Contourlet变换/互信息Key words
image registration/ multiresolution decomposition/ Contourlet transform/ mutual information分类
医药卫生引用本文复制引用
岳海振,李海云,刘迪..基于Contourlet变换的CT和锥形束CT图像配准算法[J].北京生物医学工程,2012,31(2):140-145,6.基金项目
国家自然科学基金(30670576)、北京市自然科学基金(4122018)资助 （30670576）
