VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering

doi:10.1109/TIP.2025.3526061

	VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering
	Ye, Haili 1,2; Zhang, Xiaoqing 1,2,3,4; Hu, Yan 1,2; Fu, Huazhu 5; Liu, Jiang 1,2,6,7
	2025
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN	1057-7149
卷号	34 页码:1090-1105
摘要	The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Although deep network-based refinement segmentation and topology-preserving segmentation methods recently have achieved promising results in segmenting vessel-like structures, they still face two challenges: 1) existing methods often have limitations in rehabilitating subsection ruptures in segmented vessel-like structures; 2) they are typically overconfident in predicted segmentation results. To tackle these two challenges, this paper attempts to leverage the potential of spatial interconnection relationships among subsection ruptures from the structure rehabilitation perspective. Based on this perspective, we propose a novel Vessel-like Structure Rehabilitation Network (VSR-Net) to both rehabilitate subsection ruptures and improve the model calibration based on coarse vessel-like structure segmentation results. VSR-Net first constructs subsection rupture clusters via a Curvilinear Clustering Module (CCM). Then, the well-designed Curvilinear Merging Module (CMM) is applied to rehabilitate the subsection ruptures to obtain the refined vessel-like structures. Extensive experiments on six 2D/3D medical image datasets show that VSR-Net significantly outperforms state-of-the-art (SOTA) refinement segmentation methods with lower calibration errors. Additionally, we provide quantitative analysis to explain the morphological difference between the VSR-Net's rehabilitation results and ground truth (GT), which are smaller compared to those between SOTA methods and GT, demonstrating that our method more effectively rehabilitates vessel-like structures.
关键词	Image segmentation Calibration Morphology Three-dimensional displays Retinal vessels Accuracy Semantics Refining Predictive models Merging Vessel-like structure rehabilitation medical image segmentation graph convolutional network calibration
DOI	10.1109/TIP.2025.3526061
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2024YFC2510800] ; Leading Goose Program of Zhejiang[2023C03079] ; General Program of the National Natural Science Foundation of China[82272086] ; Agency for Science, Technology and Research (A*STAR) Central Research Fund (Robust and Trustworthy AI System for Multi-modality Healthcare)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:001422000700006
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40733
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Xiaoqing; Liu, Jiang
作者单位	1.Southern Univ Sci & Technol, Res Inst Trustworthy Autonomous Syst, Shenzhen 518055, Peoples R China 2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China 3.Chinese Acad Sci, Ctr High Performance Comp, Shenzhen 518055, Peoples R China 4.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen Key Lab Intelligent Bioinformat, Shenzhen 518055, Peoples R China 5.ASTAR, Inst High Performance Comp IHPC, Singapore 138632, Singapore 6.Southern Univ Sci & Technol, Guangdong Prov Key Lab Brain Inspired Intelligent, Shenzhen 518055, Peoples R China 7.Univ Nottingham Ningbo China, Sch Comp Sci, Ningbo 315104, Peoples R China
推荐引用方式 GB/T 7714	Ye, Haili,Zhang, Xiaoqing,Hu, Yan,et al. VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2025,34:1090-1105.
APA	Ye, Haili,Zhang, Xiaoqing,Hu, Yan,Fu, Huazhu,&Liu, Jiang.(2025).VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering.IEEE TRANSACTIONS ON IMAGE PROCESSING,34,1090-1105.
MLA	Ye, Haili,et al."VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering".IEEE TRANSACTIONS ON IMAGE PROCESSING 34(2025):1090-1105.