Brain Image Registration Techniques using Wang Landau Adaptive Monte Carlo Approach

被引：0

作者：

Sasikala, D. ^{[1
]}

Neelaveni, R. ^{[2
]}

机构：

[1] Bannari Amman Inst Technol, Sathyamangalam 638401, India

[2] PSG Coll Technol, Coimbatore 641004, Tamil Nadu, India

来源：

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | 2013年 / 72卷 / 02期

关键词：

Wang Landau Adaptive Monte Carlo Approach (WLAMC); Medical image registration; Adaptive Monte Carlo Approach (AMC); Mutual Information (MI); Correlation Coefficient; Computed Time of Registration (CTR); EFFICIENT;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper discusses the application of Wang Landau Adaptive Monte Carlo Approach algorithm for registration of monomodal brain images. CT or / and MRI brain images are considered for the study. Wang Landau Adaptive Monte Carlo is compared with Adaptive Monte Carlo method. In medical image registration of brain images, Wang Landau Adaptive Monte Carlo is more reliable than Adaptive Monte Carlo for scaling in single transformation, translation and scaling in any two combined transformation and translation, rotation and scaling in all the three combined transformations. Hence for registration of brain images using all the three combined transformations - translation, rotation and scaling, Wang Landau Adaptive Monte Carlo can be used.

引用

页码：114 / 121

页数：8

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