| Study of three—dimensional PET and MR image registration based on higher—order mutual information |
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| 引用本文： | RENHai－Ping YANGHu 等.Study of three—dimensional PET and MR image registration based on higher—order mutual information[J].核技术(英文版),2002,13(2):65-71. |
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| 作者姓名： | RENHai－Ping YANGHu |
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| 作者单位： | [1]DepartmentofNuclearMedicine,CancerHospital,ChineseAcademyofMedicalSeciences,PekingUnionMedicalCollege,Beijing100021 [2]DepartmentofBiomedicalEngineering,CapitalUniversityofMedicalScie |
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| 基金项目： | The images and the standard transformation were provided as part of the project,“Retrospective Im-
age Registration Evaluation”（National Institutes of Health,1 R01 CA89323）,the principal investigator,J.Michael Fitzpatrick,Vanderbilt Universi |
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| 摘 要： | Mutual information has currently been one of the most intensively reserached measures.It has been proven to be accurate and effective registration measure.Despite the general promising results,mutual information sometimes smight lead to misregistration because of neglecting spatial information and treating intensity variations with undue sensitivity.In this paper,an extension of mutual information framework was proposed in which higher-order spatial information regarding image structures was incorporated into the registration processing of PET and MR.The second-order estimate of mutual information algorithm was applied to the registration of seven patients.Evaluation from Vanderbilt University and our visual inspection showed that sub-voxel accuracy and robust results were achieved in all cases with second-order mutual information as the similarity measure and with Powell‘s multidimensional direction set method as optimization strategy.
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| 关 键 词： | 造影诊断 正电子发射 层析X射线摄影法 |
Study of three-dimensional PET and MR image registration based on higher-order mutual information |
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| REN Hai-Ping,YANG Hu,CHEN Sheng-zu,WU Wen-Kai.Study of three-dimensional PET and MR image registration based on higher-order mutual information[J].Nuclear Science and Techniques,2002,13(2):65-71. |
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| Authors: | REN Hai-Ping YANG Hu CHEN Sheng-zu WU Wen-Kai |
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| Abstract: | Mutual information has currently been one of the most intensively researched measures. It has been proven to be accurate and effective registration measure. Despite the general promising results, mutual information sometimes might lead to misregistration because of neglecting spatial information and treating intensity variations with undue sensitivity. In this paper, an extension of mutual information framework was proposed in which higher-order spatial information regarding image structures was incorporated into the registration processing of PET and MR. The second-order estimate of mutual information algorithm was applied to the registration of seven patients. Evaluation from Vanderbilt University and our visual inspection showed that sub-voxel accuracy and robust results were achieved in all cases with second-order mutual information as the similarity measure and with Powell's multidimensional direction set method as optimization strategy. |
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| Keywords: | Higher-order mutual information Multi-modality medical image Registration |
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