CT-MR Image Registration in Liver Treatment by Maximization of Mutual Information

摘要：

CT and MR images have been used in the liver disease treatment. In order to merge the different information into one image, image registration and data fusion must be adopted In this paper, image registration and data fusion for MR and CT images of liver was studied Firstly, the maximization of mutual information method was proposed to register the images. Then, some optimization algorithms, such as Powell, Brent, Golden Section and the Second-degree interpolation algorithms, were applied Finally, the post-registration images were fused with a wavelets-based scheme and the different information was merged into a new image.The experiment results demonstrated the effectiveness of the fusion scheme.

作者: XIAOYANG Huang BOLIANG Wang RUHUAN Liu XIAOPING Wang ZHIJIAN Wu

作者单位: Computer Science Department,Xiamen University Xiamen,361005,China Image Department,the 1st Hospital of Xiamen,Xiamen,361005,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 715-718

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）