Non-rigid Image Registration by Minimizing Weighted Residual Complexity

doi:10.2174/1573405613666170703122534

科研成果详情

题名	Non-rigid Image Registration by Minimizing Weighted Residual Complexity
作者	Zhang, Juan 1; Zhao, Shuo-Feng2; Jiang, Yun-Feng1; Pan, Zhi-Fang1; Lu, Zhen-Tai 3; Feng, Qian-Jin 3; Chen, Wu-Fan 3
发表日期	2018-12-31
发表期刊	CURRENT MEDICAL IMAGING 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Weighting function local entropy residual complexity intensity distortion image registration WRC
其他关键词	MR ; CT
摘要	Background: Non-rigid registration of medical images with intensity distortions is a difficult problem due to the change in pixel intensity. It is caused by contrast agent or intensity bias field. Methods: In some cases, this problem can be solved using Residual Complexity (RC) method. However, relative modification of parameter in residual complexity would result in completely different experimental effect. Another drawback is sensitivity to noise. To handle this problem, a new intensity-based similarity measure, Weighted Residual Complexity (WRC) has been proposed for effective medical image registration in this paper. Specifically, the local entropy image of two images is computed to be aligned respectively. Then, a weighting function using a function of the local entropy difference is modeled. The weighting function is used to weight the residual image in residual complexity adaptively. The residual image is defined as the difference between reference image and warped floating image. Results: The weighting function assigns smaller weight to residual image if the corresponding pixel value is larger in local entropy difference. The proposed technique was applied to simulative and real medical images. The contrast experiments were made with mutual information, diffeomorphic demons and residual complexity. Conclusion: Also, the analysis of experimental results was made qualitatively and quantitatively, which indicates that this new approach gives a better performance than diffeomorphic demons, mutual information and residual complexity.
资助项目	Zhejiang Provincial Natural Science foundation of ChinaNatural Science Foundation of Zhejiang Province [LQ17H180005, LQ16F030010]; Foundation of Science and Technology Bureau of Wenzhou [G20140046]; National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11504274]; Guangdong Natural Science Foundation of ChinaNational Natural Science Foundation of Guangdong Province [2014A030313316, 2016A030313574]; Wenzhou Science & Technology Bureau [Y20150086]
出版者	BENTHAM SCIENCE PUBL LTD
出版地	SHARJAH
ISSN	1573-4056
EISSN	1875-6603
卷号	14 期号:2 页码:334-346
DOI	10.2174/1573405613666170703122534
页数	13
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000425530100018
收录类别	SCIE ; SCOPUS
URL	查看原文
SCOPUSEID	2-s2.0-85047143933
通讯作者地址	[Zhang, Juan]School of Biomedical Engineering,WenZhou Medical University,ZheJiang,325035,China
Scopus学科分类	Radiology, Nuclear Medicine and Imaging
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/16807
专题	眼视光学院（生物医学工程学院）、附属眼视光医院仁济学院仁济学院_眼视光、生物医学工程学部
通讯作者	Zhang, Juan
作者单位	1.School of Biomedical Engineering,WenZhou Medical University,ZheJiang,325035,China; 2.WenZhou Medical University RenJi College,ZheJiang,325035,China; 3.School of Biomedical Engineering,Southern Medical University,Guangzhou,510515,China
第一作者单位	眼视光、生物医学工程学部
通讯作者单位	眼视光、生物医学工程学部
第一作者的第一单位	眼视光、生物医学工程学部
推荐引用方式 GB/T 7714	Zhang, Juan,Zhao, Shuo-Feng,Jiang, Yun-Feng,et al. Non-rigid Image Registration by Minimizing Weighted Residual Complexity[J]. CURRENT MEDICAL IMAGING,2018,14(2):334-346.
APA	Zhang, Juan., Zhao, Shuo-Feng., Jiang, Yun-Feng., Pan, Zhi-Fang., Lu, Zhen-Tai., ... & Chen, Wu-Fan. (2018). Non-rigid Image Registration by Minimizing Weighted Residual Complexity. CURRENT MEDICAL IMAGING, 14(2), 334-346.
MLA	Zhang, Juan,et al."Non-rigid Image Registration by Minimizing Weighted Residual Complexity".CURRENT MEDICAL IMAGING 14.2(2018):334-346.