A fast iterative reconstruction method based on the selective total variation for sparse angular CT - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Huijun Li, Shuxu Zhang, Kehong Yuan, Linjing Wang, Yingying Peng. A fast iterative reconstruction method based on the selective total variation for sparse angular CT. In Li Bai, Lipo Wang, Liangshan Shao, Jinguang Sun, Zhiyong Tao, Sen Lin, editors, 8th International Conference on Biomedical Engineering and Informatics, BMEI 2015, Shenyang, China, October 14-16, 2015. pages 46-51, IEEE, 2015. [doi]

The following publications are possibly variants of this publication:

NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CTBin Yan, Zhao Jin, Hanming Zhang, Lei Li, Ailong Cai. cmmm, 2015, 2015. [doi]

Low Dose CT Image Reconstruction Based on Structure Tensor Total Variation Using Accelerated Fast Iterative Shrinkage Thresholding AlgorithmJunfeng Wu, Xiaofeng Wang, Xuanqin Mou, Yang Chen, Shuguang Liu. sensors, 20(6):1647, 2020. [doi]

Total Variation Based Iterative Image ReconstructionGuoqiang Yu, Liang Li, Jianwei Gu, Li Zhang. cvbia 2005: 526-534 [doi]

Sparse angular CT reconstruction using non-local means based iterative-correction POCSJing Huang, Jianhua Ma, Nan Liu, Hua Zhang, Zhaoying Bian, Yanqiu Feng, Qianjin Feng, Wufan Chen. cbm, 41(4):195-205, 2011. [doi]

PRO: A Popularity-based Multi-threaded Reconstruction Optimization for RAID-Structured Storage SystemsLei Tian, Dan Feng, Hong Jiang, Ke Zhou, Lingfang Zeng, Jianxi Chen, Zhikun Wang, Zhenlei Song. FAST 2007: 277-290 [doi]

runs on WebDSL