Alternating total variation and non‐local total variation for fast compressed sensing magnetic resonance imaging-Reference-Cited by-同舟云学术

Alternating total variation and non‐local total variation for fast compressed sensing magnetic resonance imaging

Published:2015-10 Issue:22 Volume:51 Page:1740-1742
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Hao Wangli¹,Li Jianwu²

Affiliation:

1. School of SoftwareShanxi Agricultural UniversityShanxi030801People's Republic of China

2. Beijing Key Laboratory of Intelligent Information TechnologySchool of Computer Science and TechnologyBeijing Institute of TechnologyBeijing100081People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2015.2551

Reference7 articles.

1. Sparse MRI: The application of compressed sensing for rapid MR imaging

2. Sensitivity encoding reconstruction with nonlocal total variation regularization

3. Total variation based image deblurring with nonlocal self-similarity constraint

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EPLL image denoising with multi-feature dictionaries;Digital Signal Processing;2023-06

2. EPLL image restoration with a bounded asymmetrical Student’s-t mixture model;Journal of Visual Communication and Image Representation;2022-10

3. Rapid Restoration of Medical Images Relying on Bayesian Personalized Sorting Algorithm;Mobile Information Systems;2022-06-22

4. A Comparative Study of Four Total Variational Regularization Reconstruction Algorithms for Sparse-View Photoacoustic Imaging;Computational and Mathematical Methods in Medicine;2021-10-18

5. Reconstruction of Compressed Sensing MRI: An Experimental Review among Priors- and Deep Learning- based Algorithms;2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI);2020-12-19