Compressed sensing MRI: a review from signal processing perspective
Author:
Funder
National Research Foundation, Korea
Publisher
Springer Science and Business Media LLC
Subject
Energy Engineering and Power Technology,Fuel Technology
Link
http://link.springer.com/content/pdf/10.1186/s42490-019-0006-z.pdf
Reference114 articles.
1. Pruessmann KP, Weigher M, Scheidegger MB, Boesiger P. SENSE: Sensitivity encoding for fast MRI. Magn. Reson. Med. 1999;42(5):952–62.
2. Sodickson DK, Manning WJ. Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays. Magn Reson Med. 1997;38(4):591–603.
3. Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A. Generalized autocalibrating partially parallel acquisitions(GRAPPA). Magn. Reson. Med. 2002;47(6):1202–10.
4. Madore B, Glover GH, Pelc NJ. Unaliasing by Fourier-encoding the overlaps using the temporal dimension(UNFOLD), applied to cardiac imaging and fMRI. Magn. Reson. Med. 1999;42(5):813–28.
5. Tsao J, Boesiger P, Pruessmann KP. k-t BLAST and k-t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations. Magn Reson Med. 2003;50(5):1031–42.
Cited by 105 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. scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error;Computational and Structural Biotechnology Journal;2024-12
2. A likelihood based method for compressive signal recovery under Gaussian and saturation noise;Signal Processing;2024-04
3. MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation;Computer Methods and Programs in Biomedicine;2024-02
4. Radiomic feature reliability of amide proton transfer‐weighted MR images acquired with compressed sensing at 3 T;International Journal of Imaging Systems and Technology;2024-01-30
5. Deep Cardiac MRI Reconstruction with ADMM;Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3