Work

Statistical image reconstruction for low-dose CT using nonlocal means-based regularization

Year: 2014

Type: article

Source: Computerized Medical Imaging and Graphics

DOI: 10.1016/j.compmedimag.2014.05.002

Authors: Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hongbing Lu, Zhengrong Liang

Institutions: State University of New York, Stony Brook University, Southern Medical University, The University of Texas Southwestern Medical Center, Air Force Medical University

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: American Cancer Society, Cancer Prevention and Research Institute of Texas, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, National Institutes of Health, National Cancer Institute

Awards: G1548932008, Quantitative Cone-beam CT for Adaptive Radiation Therapy, G2075325102, G3754111955, 多先验信息约束ldCT图像鲁棒重建新方法研究, G529144702, Screening Lung Cancer by Ultra Low-Dose Computed Tomography, P2: Advanced Volumetric Imaging and Adaptive Radiotherapy for Detecting and Correcting for Inter-fractional Changes, G6376416979, G6440416716, G7920326932, 平扫描数据导引的超低剂量Brain-PCT成像新方法研究, 基于影像定量分析和特征可视化的虚拟内窥镜关键技术研究, G8374033470, G9000131966, G993396449

OpenAlex ID: W2023910643

FWCI: 6.56

Cites: 64

Cited by: 84

Related to: 10