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

被引：8
|
作者：
Huang, Xiaoyang [1 ]
Wang, Boliang [1 ]
Liu, Ruhuan [1 ]
Wang, Xiaoping [2 ]
Wu, Zhijian [1 ]
机构：
[1] Xiamen Univ, Dept Comp Sci, Xiamen 361005, Peoples R China
[2] Hosp Xiamen 1, Image Dept, Xiamen 361005, Peoples R China
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ITME.2008.4743959
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
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.
引用
收藏
页码：715 / +
页数：2
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