Grey Wolf Optimizer for Multimodal Medical Image Registration

被引:4
作者
Dida, Hedifa [1 ]
Charif, Fella [1 ]
Benchabane, Abderrazak [1 ]
机构
[1] Kasdi Merbah Univ, Dept Elect & Telecommun, Ouargla, Algeria
来源
2020 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS) | 2020年
关键词
Grey wolf optimizer; particle swarm optimization; sine cosine algorithm; Multimodal image registration;
D O I
10.1109/icds50568.2020.9268771
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Modern meta-heuristics algorithms have been successfully used to registration of different medical images. In this paper, we present a new technic based on the GWO algorithm for multimodal registration of a section of the human brain using computed tomography (CT) and magnetic resonance (MR) methods. Through the obtained simulation results, it appears that the proposed approach achieves high-resolution and robust registration compared to other methods such as Particle Swarm Optimization PSO and sine cosine algorithm (SCA).
引用
收藏
页数:5
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