SNR Enhancement for Multi-TE MRSI Using Joint Low-Dimensional Model and Spatial Constraints
Author:
Affiliation:
1. Department of Bioengineering, University of Illinois Urbana-Champaign, USA
2. Department of Bioengineering and the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
Funder
NSF
NIH-NIBIB
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
https://ieeexplore.ieee.org/ielam/10/9895313/9740411-aam.pdf
Reference59 articles.
1. Analysis of deep complex‐valued convolutional neural networks for MRI reconstruction and phase‐focused applications
2. Deep complex networks;trabelsi,2018
3. Manifold Learning in MR spectroscopy using nonlinear dimensionality reduction and unsupervised clustering
4. Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy
5. Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations
Cited by 4 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. Joint learning of nonlinear representation and projection for fast constrained MRSI reconstruction;Magnetic Resonance in Medicine;2024-09-04
2. Multi-Parametric Molecular Imaging of the Brain Using Optimized Multi-TE Subspace MRSI;IEEE Transactions on Biomedical Engineering;2024-06
3. High‐resolution 1H‐MRSI at 9.4 T by integrating relaxation enhancement and subspace imaging;NMR in Biomedicine;2024-05-08
4. High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven Machine Learning: Current progress and future directions;IEEE Signal Processing Magazine;2023-03
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