干旱区生态环境知识资源中心(Arid): Nonlinear Registration of Brain Magnetic Resonance Images with Cross Constraints of Intensity and Structure

Arid

DOI	10.32604/cmc.2024.047754
	Nonlinear Registration of Brain Magnetic Resonance Images with Cross Constraints of Intensity and Structure
	Zhou, Han; Xu, Hongtao; Chang, Xinyue; Zhang, Wei; Dong, Heng
通讯作者	Dong, H
来源期刊	CMC-COMPUTERS MATERIALS & CONTINUA
ISSN	1546-2218
EISSN	1546-2226
出版年	2024
卷号	79 期号:2 页码:2295-2313
英文摘要	Many deep learning-based registration methods rely on a single-stream encoder-decoder network for computing deformation fields between 3D volumes. However, these methods often lack constraint information and overlook semantic consistency, limiting their performance. To address these issues, we present a novel approach for medical image registration called the Dual-VoxelMorph, featuring a dual-channel cross-constraint network. This innovative network utilizes both intensity and segmentation images, which share identical semantic information and feature representations. Two encoder-decoder structures calculate deformation fields for intensity and segmentation images, as generated by the dual-channel cross-constraint network. This design facilitates bidirectional communication between grayscale and segmentation information, enabling the model to better learn the corresponding grayscale and segmentation details of the same anatomical structures. To ensure semantic and directional consistency, we introduce constraints and apply the cosine similarity function to enhance semantic consistency. Evaluation on four public datasets demonstrates superior performance compared to the baseline method, achieving Dice scores of 79.9%, 64.5%, 69.9%, and 63.5% for OASIS-1, OASIS-3, LPBA40, and ADNI, respectively.
英文关键词	Medical image registration cross constraint semantic consistency directional consistency dual -channel
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001240838500024
WOS关键词	CONSTRUCTION ; INFANTS ; MRI
WOS类目	Computer Science, Information Systems ; Materials Science, Multidisciplinary
WOS研究方向	Computer Science ; Materials Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403215
推荐引用方式 GB/T 7714	Zhou, Han,Xu, Hongtao,Chang, Xinyue,et al. Nonlinear Registration of Brain Magnetic Resonance Images with Cross Constraints of Intensity and Structure[J],2024,79(2):2295-2313.
APA	Zhou, Han,Xu, Hongtao,Chang, Xinyue,Zhang, Wei,&Dong, Heng.(2024).Nonlinear Registration of Brain Magnetic Resonance Images with Cross Constraints of Intensity and Structure.CMC-COMPUTERS MATERIALS & CONTINUA,79(2),2295-2313.
MLA	Zhou, Han,et al."Nonlinear Registration of Brain Magnetic Resonance Images with Cross Constraints of Intensity and Structure".CMC-COMPUTERS MATERIALS & CONTINUA 79.2(2024):2295-2313.