qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networks
Author:
Affiliation:
1. Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology Daejeon Korea
2. Department of Radiology Seoul National University College of Medicine Seoul Korea
Funder
Korea Health Industry Development Institute
National Research Foundation of Korea
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28411
Reference47 articles.
1. Magnetization transfer contrast (MTC) and tissue water proton relaxationin vivo
2. Magnetization transfer contrast: MR imaging of the knee.
3. Magnetization transfer contrast in magnetic resonance imaging;Balaban RS;Magn Reson Q,1992
4. Magnetization transfer contrast in fat-suppressed steady-state three-dimensional MR images
5. Quantitative interpretation of magnetization transfer
Cited by 8 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. Towards assessing and improving the reliability of ultrashort echo time quantitative magnetization transfer (UTE-qMT) MRI of cortical bone: In silico and ex vivo study;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-08-10
2. SPINNED: Simulation‐based physics‐informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data;Magnetic Resonance in Medicine;2024-04-16
3. Improving quantitative MRI using self‐supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping;Magnetic Resonance in Medicine;2024-02-11
4. Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks;IEEE Signal Processing Magazine;2023-03
5. Accelerated cardiac diffusion tensor imaging using deep neural network;Physics in Medicine & Biology;2023-01-05
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