DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography
文献类型:期刊论文
作者 | Li, Jiajia1; Wu, Qing1; Wang, Yuanquan1; Zhou, Shoujun2; Zhang, Lei1; Wei, Jin3; Zhao, Di4 |
刊名 | SIGNAL IMAGE AND VIDEO PROCESSING
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出版日期 | 2024-09-01 |
卷号 | 18期号:10页码:7487-7498 |
关键词 | Coronary artery segmentation Diffusion model Transformer Attention |
ISSN号 | 1863-1703 |
DOI | 10.1007/s11760-024-03409-5 |
英文摘要 | 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. |
资助项目 | National Science Foundation of China |
WOS研究方向 | Engineering ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001266835800006 |
出版者 | SPRINGER LONDON LTD |
源URL | [http://119.78.100.204/handle/2XEOYT63/39457] ![]() |
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. |
入库方式: OAI收割
来源:计算技术研究所
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