NDLI: A medical image registration techniques based on improved artificial immune algorithm

Content Provider	IEEE Xplore Digital Library
Author	Li Xu Du Rui-hong
Copyright Year	2011
Description	Author affiliation: School of Public Health, Beihua University Jilin 132001, P. R. China (Du Rui-hong) \|\| Institute of Information Technology, BeiHua University, Jilin 132013, P.R. China (Li Xu)
Abstract	Medical image registration is a process to match and superimpose two or more images of the same scene taken from different times, different imaging devices, or different perspectives. The drawback of traditional image registration algorithm is a large number of operations and slow convergence speed. In this paper, in order to improve the convergence speed on medical image registration algorithms, the initialization groups was optimized with an improved artificial immune algorithm and in order to make the algorithm more stable, the similarity of the standard was tested with the normalized Those would improve the ability of global optimization solution. Furthermore the feasibility of the improved algorithm was verified by simulation experiments.
Starting Page	1110
Ending Page	1113
File Size	277301
Page Count	4
File Format	PDF
ISBN	9781612847191
e-ISBN	9781612847221
DOI	10.1109/MEC.2011.6025661
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration Normalized Medical image registration Artificial immune Entropy Joints Mutual information Medical diagnostic imaging Immune system
Content Type	Text
Resource Type	Article

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