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CT and MR Image Fusion Based on Adaptive Structure Decomposition

文献类型：期刊论文

作者Xu, Guiying1; Zhao, Fan2; Zhao, Wenda1
刊名IEEE ACCESS
出版日期2019
卷号7页码:44002-44009
关键词CT and MR image fusion spectral TV adaptive structure decomposition
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2908378
通讯作者Zhao, Wenda(zhaowenda@dlut.edu.cn)
英文摘要Computed tomography (CT) has an excellent performance in detecting dense structure, such as bones and implants, while magnetic resonance (MR) provides high-resolution information for soft issues. To obtain sufficient and accurate information for diagnosis, we propose a CT and MR image fusion method via adaptive structure decomposition to combine the complementary information. First, on the basis of different scales of issues, we adaptively decompose the source images into sub-bands (bands of small, middle, and large issues) by a spectral total variation method. Second, based on the interpretability of sub-bands, for the small scale and middle scale of issues, we extract the edge information from the sub-bands and design the fusion weight by the local edge energy. And for the large scale of issues, we design the fusion weight by the local intensity energy. Third, we reconstruct the fused image. The experimental results demonstrate the superiority of the proposed method on both subjective and objective assessments.
WOS关键词OPTIMIZATION ; ENHANCEMENT ; INFORMATION ; FRAMEWORK
资助项目National Natural Science Foundation of China[61801077] ; National Natural Science Foundation of China[61872056] ; National Natural Science Foundation of China[61771088] ; China Postdoctoral Science Foundation[2017M611221] ; Fundamental Research Funds for the Central Universities[DUT16RC(3)077]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000465262600001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities
源URL[http://cas-ir.dicp.ac.cn/handle/321008/165636]  
专题大连化学物理研究所_中国科学院大连化学物理研究所
通讯作者Zhao, Wenda
作者单位1.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
2.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Guiying,Zhao, Fan,Zhao, Wenda. CT and MR Image Fusion Based on Adaptive Structure Decomposition[J]. IEEE ACCESS,2019,7:44002-44009.
APA Xu, Guiying,Zhao, Fan,&Zhao, Wenda.(2019).CT and MR Image Fusion Based on Adaptive Structure Decomposition.IEEE ACCESS,7,44002-44009.
MLA Xu, Guiying,et al."CT and MR Image Fusion Based on Adaptive Structure Decomposition".IEEE ACCESS 7(2019):44002-44009.

入库方式： OAI收割

来源：大连化学物理研究所

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