3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation

doi:10.1016/j.media.2025.103585

	3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation
	Li, Yingtai 1,2; Fu, Xueming 1,2; Li, Han 1,2; Zhao, Shang 1,2; Jin, Ruiyang 1,2; Zhou, S. Kevin 1,2,3,4
	2025-07-01
发表期刊	MEDICAL IMAGE ANALYSIS
ISSN	1361-8415
卷号	103 页码:14
摘要	Sparse-view computed tomography (CT) reduces radiation exposure by acquiring fewer projections, making it a valuable tool in clinical scenarios where low-dose radiation is essential. However, this often results in increased noise and artifacts due to limited data. In this paper we propose a novel 3D Gaussian representation (3DGR) based method for sparse-view CT reconstruction. Inspired by recent success in novel view synthesis driven by 3D Gaussian splatting, we leverage the efficiency and expressiveness of 3D Gaussian representation as an alternative to implicit neural representation. To unleash the potential of 3DGR for CT imaging scenario, we propose two key innovations: (i) FBP-image-guided Guassian initialization and (ii) efficient integration with a differentiable CT projector. Extensive experiments and ablations on diverse datasets demonstrate the proposed 3DGR-CT consistently outperforms state-of-the-art counterpart methods, achieving higher reconstruction accuracy with faster convergence. Furthermore, we showcase the potential of 3DGR-CT for real-time physical simulation, which holds important clinical applications while challenging for implicit neural representations. Code available at: https://github.com/SigmaLDC/3DGR-CT.
关键词	Sparse-view computed tomography CT reconstruction 3D Gaussian representation
DOI	10.1016/j.media.2025.103585
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China[62271465] ; Suzhou Basic Research Program, China[SYG202338]
WOS研究方向	Computer Science ; Engineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:001481519600001
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40651
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhou, S. Kevin
作者单位	1.Univ Sci & Technol China USTC, Sch Biomed Engn, Div Life Sci & Med, Hefei 230026, Anhui, Peoples R China 2.USTC, Suzhou Inst Adv Res, China & Ctr Med Imaging Robot Analyt Comp & Learni, Suzhou 215123, Jiangsu, Peoples R China 3.USTC, Key Lab Precis & Intelligent Chem, Hefei 230026, Anhui, Peoples R China 4.Chinese Acad Sci, CAS, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Yingtai,Fu, Xueming,Li, Han,et al. 3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation[J]. MEDICAL IMAGE ANALYSIS,2025,103:14.
APA	Li, Yingtai,Fu, Xueming,Li, Han,Zhao, Shang,Jin, Ruiyang,&Zhou, S. Kevin.(2025).3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation.MEDICAL IMAGE ANALYSIS,103,14.
MLA	Li, Yingtai,et al."3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation".MEDICAL IMAGE ANALYSIS 103(2025):14.