干旱区生态环境知识资源中心(Arid): Multi-strategy mutual learning network for deformable medical image registration

Arid

DOI	10.1016/j.neucom.2022.06.020
	Multi-strategy mutual learning network for deformable medical image registration
	Zheng, Zhiyuan; Cao, Wenming; Duan, Ye; Cao, Guitao; Lian, Deliang
通讯作者	Cao, WM
来源期刊	NEUROCOMPUTING
ISSN	0925-2312
EISSN	1872-8286
出版年	2022
卷号	501 页码:102-112
英文摘要	Deformable medical image registration plays a vital role in clinical diagnosis, monitoring treatment, and postoperative recovery. Nevertheless, the existing registration algorithms rely on a single network or training strategy to complete the registration task. Even the most advanced registration algorithms can-not capture sufficiently compelling feature information by a single network or strategy.This paper pro -poses a new unsupervised and deformable medical image registration network framework to get the compelling feature. The network uses 2D sub-images of 3D images as additional constraint information to supplement the training process. Therefore, the network's two-dimensional and three-dimensional data images can interactively learn each other's characteristic information. In addition, we propose to perform secondary registration on the concentrated part of the registration area according to the charac-teristics of the input image. It enables the complete image and critical regions to learn their characteristic information interactively. This paper uses the image pyramid to integrate the two mutual learning strate-gies, thus proposing a multi-strategy mutual learning network(MMLN) and conducting many evaluation tests on the public data set OASIS and LPBA40. The test results show that the network can achieve better registration performance than other learning-based methods and traditional algorithms.(c) 2022 Elsevier B.V. All rights reserved.
英文关键词	Deformable medical image registration Multiple training strategies Mutual learning network
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000822707200007
WOS关键词	FRAMEWORK
WOS类目	Computer Science, Artificial Intelligence
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393862
推荐引用方式 GB/T 7714	Zheng, Zhiyuan,Cao, Wenming,Duan, Ye,et al. Multi-strategy mutual learning network for deformable medical image registration[J],2022,501:102-112.
APA	Zheng, Zhiyuan,Cao, Wenming,Duan, Ye,Cao, Guitao,&Lian, Deliang.(2022).Multi-strategy mutual learning network for deformable medical image registration.NEUROCOMPUTING,501,102-112.
MLA	Zheng, Zhiyuan,et al."Multi-strategy mutual learning network for deformable medical image registration".NEUROCOMPUTING 501(2022):102-112.