DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography

doi:10.1007/s11760-024-03409-5

	DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography
	Li, Jiajia 1; Wu, Qing 1; Wang, Yuanquan 1; Zhou, Shoujun 2; Zhang, Lei 1; Wei, Jin 3; Zhao, Di 4
	2024-09-01
发表期刊	SIGNAL IMAGE AND VIDEO PROCESSING
ISSN	1863-1703
卷号	18 期号:10 页码:7487-7498
摘要	Automatic segmentation of 3D coronary arteries from computed tomography angiography (CTA) is an indispensable part of accurate and efficient coronary artery disease (CAD) diagnosis. However, it remains challenging due to the complex anatomy of coronary arteries. Inspired by the denoising diffusion probabilistic model (DDPM), we propose a diffusion-based multi-attention network for 3D coronary artery segmentation from CTA. The proposed method is called DiffCAS in short. DiffCAS utilizes the denoising diffusion of the diffusion model to yield segmentation results. During the denoising diffusion, the Swin Transformer is adopted to extract semantic information from CTA images, and an adaptive residual feature enhancement (ARFE) module is proposed as denoising encoder in the diffusion model, a feature fusion attention (FFA) module is coined to fuse the features from Swin Transformer and ARFE encoders, so as to improve the segmentation performance. Experimental results and comparisons on the ASOCA and ImageCAS datasets show that the proposed DiffCAS outperforms some SOTA networks in terms of Dice coefficient that are 84.41% and 84.59%, on ASOCA dataset and ImageCAS dataset, respectively.
关键词	Coronary artery segmentation Diffusion model Transformer Attention
DOI	10.1007/s11760-024-03409-5
收录类别	SCI
语种	英语
资助项目	National Science Foundation of China
WOS研究方向	Engineering ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS记录号	WOS:001266835800006
出版者	SPRINGER LONDON LTD
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	http://119.78.100.204/handle/2XEOYT63/39458
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Yuanquan; Zhou, Shoujun
作者单位	1.Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300401, Peoples R China 2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China 3.Third Cent Hosp Tianjin, Tianjin 300171, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Jiajia,Wu, Qing,Wang, Yuanquan,et al. DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography[J]. SIGNAL IMAGE AND VIDEO PROCESSING,2024,18(10):7487-7498.
APA	Li, Jiajia.,Wu, Qing.,Wang, Yuanquan.,Zhou, Shoujun.,Zhang, Lei.,...&Zhao, Di.(2024).DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography.SIGNAL IMAGE AND VIDEO PROCESSING,18(10),7487-7498.
MLA	Li, Jiajia,et al."DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography".SIGNAL IMAGE AND VIDEO PROCESSING 18.10(2024):7487-7498.