2D-3D Medical image registration based on ant colony algorithm

被引：1
|
作者：
Wei, Wei [1 ]
Lin, Wei [1 ]
Liu, Liang [1 ]
Hu, Zhongqin [1 ]
机构：
[1] Guangxi Univ, Sch Comp Elect & Informat, 100 Daxue Rd, Nanning 530004, Guangxi, Peoples R China
来源：
PROGRESS IN MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2014年 / 462-463卷
关键词：
medical image; 2D-3D registration; ant colony algorithm; mutual information;
D O I：
10.4028/www.scientific.net/AMM.462-463.267
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Object: To optimize the rigidity registration algorithm between X-ray fluoroscopy and CT, and improve the accuracy of registration. Method: By changing the transmission parameters of the ray tracing, it can obtain the original DRR images and the float DRR image for registration. In trials, it uses ant colony algorithm as the optimized search strategy and Mutual information as the similarity measure. Result: ant colony algorithm and the improved ant colony algorithm compared to the classic Powell algorithm to improve the accuracy of registration about 10% and 20%, achieved good results. Conclusion: Ant Colony Algorithm as optimization search strategy can effectively solve the local minima problem in 2D-3D medical image registration, and further improve the accuracy of registration.
引用
收藏
页码：267 / +
页数：2
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