[1]CHEN Wei-qing,LI Guan-hua,OU Zong-ying,et al.Medical image registration based on grey mutual information and gradient similarity with an accelerated processing method[J].CAAI Transactions on Intelligent Systems,2008,3(6):498-503.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 6
Page number:
498-503
Column:
学术论文—机器感知与模式识别
Public date:
2008-12-25
- Title:
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Medical image registration based on grey mutual information and gradient similarity with an accelerated processing method
- Author(s):
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CHEN Wei-qing1; LI Guan-hua1; OU Zong-ying1; HAN Jun2
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1.CAD & CG Lab., Dalian University of Technology, Dalian 116024,China; 2.Dalian Modern HighTech Development Co.,Ltd.,Dalian 116021,China
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- Keywords:
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medical image registration; mutual information; acceleration solutions; gradient similarity
- CLC:
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TP791.4
- DOI:
-
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- Abstract:
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This paper presents new methods that have been developed for rigid registration of medical images. These methods are based on normalized mutual information and improve registration speed and precision. The whole registration process includes three main steps: space transformation, mutual information calculation, and optimal search. Some acceleration strategies for fast registration of 3D volume data were investigated. Conventional registration approaches, based on mutual information, neglect the spatial distribution information of images. In view of this drawback, a new method was developed, combining data based on gradient similarity and mutual information. This improves the precision and robustness of the registration algorithm. Experimental results proved the validity of the proposed methods.