2D probabilistic undersampling pattern optimization for MR image reconstruction

Author:

Xue Shengke,Cheng Zhaowei,Han Guangxu,Sun Chaoliang,Fang Ke,Liu Yingchao,Cheng Jian,Jin Xinyu,Bai Ruiliang

Funder

Natural Science Foundation of Zhejiang Province

Zhejiang University

Ministry of Education - Singapore

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference50 articles.

1. Tensorflow: a system for large-scale machine learning;Abadi,2016

2. J-MoDL: joint model-based deep learning for optimized sampling and reconstruction;Aggarwal;IEEE J. Sel. Top. Signal Process.,2020

3. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006

4. Learning-based optimization of the undersampling pattern in MRI;Bahadir,2019

5. Reconstruction of 7T-like images from 3T MRI;Bahrami;IEEE Trans. Med. Imaging,2016

Cited by 5 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. A genetic optimisation and iterative reconstruction framework for sparse multi-dimensional diffusion–relaxation correlation MRI;Computers in Biology and Medicine;2024-06

2. Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. Learning Task-Specific Strategies for Accelerated MRI;IEEE Transactions on Computational Imaging;2024

4. Using deep learning to accelerate magnetic resonance measurements of molecular exchange;The Journal of Chemical Physics;2023-08-07

5. Intelligent Magnetic Resonance Imaging analysis and processing technology for magnetic nanoparticles medical applications;Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology;2023-05-26

同舟云学术

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