Global optimization of mutual information: application to three-dimensional retrospective registration of magnetic resonance images

被引:63
|
作者
He, RJ [1 ]
Narayana, PA [1 ]
机构
[1] Univ Texas, Dept Radiol, Houston Med Sch, Houston, TX 77030 USA
关键词
MRI; image registration; mutual information; global optimization; GACS; DIRECT;
D O I
10.1016/S0895-6111(02)00019-8
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A global optimization technique for image registration, based on mutual information, that can be used in conjunction with a multi-resolution paradigm is described. This technique combines genetic algorithm in continuous space, which is a stochastic method and is very efficient in large search space, with dividing rectangle, which is a deterministic method that theoretically guarantees global optimization and is efficient in small search space. Calculations were performed for determining the optimum parameters for implementing this method. This technique was applied to register magnetic resonance images of brain. For comparison, the registration results using AIR, a commonly employed software package, are presented. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:277 / 292
页数:16
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